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Facebook. Where do I even begin with this colossal junkyard of a platform? It's like someone took the concept of social networking and doused it in a vat of incompetence. Let's talk about how Facebook has managed to mess up beyond all common sense. Firstly, their idea of content moderation seems to be more about randomly throwing darts at a board than actually using any sort of coherent logic. Legitimate posts in perfectly innocuous groups are being whisked away into the digital ether while spam proliferates like a disease. Seriously, how does a post about genuine advice or a thoughtful discussion get flagged and removed, but the umpteenth spammy post for shady sunglasses or miracle weight loss pills in totally irrelevant groups get a free pass? It's like Facebook has an algorithm that's not just broken but actively malicious. Facebook cares more about profit margins than the user experience. Instead of fostering a community where people can share meaningful ideas and connect on a genuine level, they've turned it into a virtual junkyard where the loudest, most obnoxious, spammy advertisers and paid-to-post parasites reign supreme. What happened to valuing quality over quantity? Now, it's all about how many eyeballs they can shove in front of spammy URL posts or advertisements, regardless of whether those eyeballs are seeing something worthwhile or utter garbage. It's a race to the bottom where meaningful content is drowned out by an endless barrage of clickbait. And let's not forget the privacy nightmares. Facebook has more tentacles in your personal life than an overbearing mother-in-law. They track your every move, every click, every like, and probably your wet dreams if they could. Remember when Facebook was caught red-handed with plans to sell user data and received support from Facebook’s most senior executives, including CEO Mark Zuckerberg and chief operating officer Sheryl Sandberg? Yeah, that happened, and somehow, we're all still here, feeding the beast with our personal information. According to approximately 4,000 pages of leaked internal documents obtained by NBC News, Zuckerberg allegedly supervised strategies aimed at centralizing the social network's influence and stifling competitors by using user data as leverage. This occurred despite public assurances from the company about protecting user data. The documents primarily cover the years 2011 to 2015. Facebook’s (Meta) latest spam joke Case in point: I joined a Facebook group dedicated to blogging and guest posting. Perfect, right? Wrong. I posted a meticulously crafted message with a URL, offering insightful tips on how to craft a perfect guest post. What did Facebook do? They promptly removed my post, citing some obscure community guideline violation. Meanwhile, the same group was inundated with spam posts about irrelevant topics, worthless websites, and other scammers, hawked by individuals paid to spread digital garbage like confetti at a clown convention. Facebook has lost its way. Digital Nonsense It's crystal clear that Facebook has lost its way. They seem more interested in padding their profits than ensuring a quality user experience. Maybe they're scrimping on competent programmers because their algorithms can't tell the difference between genuine content and spammy trash. There are better options out there, folks. Platforms that actually give a damn about quality and fairness. They know how to handle spam: swiftly and decisively, with bans and suspensions flying like justice from a vigilant sheriff. Meanwhile, Facebook twiddles its thumbs, letting the spammers run amok like unruly toddlers in a toy store. It's time for a change It's time for a change. Governments should consider banning this digital travesty of a platform. We deserve better. We deserve platforms that respect our time, our data, and our intelligence. Facebook had its chance. It's time to let it fade into irrelevance, like the distant memory of a regrettable haircut or Myspace. Facebook could have been a force for good - Instead, it’s a spam-loving machine The saddest part is that Facebook could have been a force for good. It could have been a platform where people from all walks of life could come together, share ideas, and foster genuine connections. Instead, it's a bloated, soulless husk of what it could have been—a place where spam rules and meaningful interaction is a rare gem buried under layers of digital detritus. Facebook is a joke Facebook is a joke—a sad, outdated relic in the age of superior social media alternatives. Let's move on, shall we? There's a whole world of digital connectivity out there, waiting for us to embrace platforms that actually value what matters. Facebook's love affair with scammers Facebook's love affair with scammers is a textbook example of corporate greed overshadowing ethical responsibility. They don't just turn a blind eye to scammers; they roll out the red carpet for them. It's like they have a special VIP section reserved for shady operators peddling everything from fake diplomas, get-rich-quick schemes, dodgy products and digital services. It's like they're saying, "Scam away, folks! Just make sure the ad revenue keeps flowing." They rake in cash hand over fist while unsuspecting users fall victim to schemes that would make even the most seasoned con artist blush. Facebook doesn't care. And the best part? Facebook doesn't care. They're too busy counting their ill-gotten gains to bother with pesky details like vetting advertisers or ensuring the legitimacy of promoted services. Who cares if someone's promoting a Ponzi scheme or selling snake oil disguised as miracle cures? Certainly not Facebook, as long as those sweet advertising dollars keep pouring in. Facebook's revenue - Willful ignorance Let's face it: a substantial chunk of Facebook's revenue likely comes from scammers. I mean, do they even bother to check? The obvious answer is no. It's the digital equivalent of renting out billboard space to a carnival barker without asking what's under the tent. They're complicit, whether through negligence or willful ignorance. So, while the rest of us navigate the internet with caution, Facebook gleefully lines its pockets with ad click money earned from the misfortune of others. It's a disgrace, a betrayal of trust, and a stark reminder that when it comes to ethics, Facebook is MIA. Facebook's laissez-faire attitude towards scammy and spammy advertisers is not just irresponsible—it's reprehensible. They owe their users better. They owe the digital community better. It’s time our governments finally put a stop to this mayhem. Hence why I have decided to start my own movement, a reporting agency that finds, responds to and reports every scam we come across. Then, provide a database every month to my national government that reflects the reported scams Meta refuses to remove after being reported. A visionary will emerge - Sooner than you think! Someday, a visionary will emerge—someone smarter, bolder, and more ethical than Zuckerberg and his cohort of profit-driven enablers. This visionary will revolutionize social media, leaving Facebook (or Meta, as they now call it) in the dust. (Watch this space) Picture this: a platform where authenticity reigns supreme. Only real people, genuine advertisers, and vetted content are allowed. No more scams, no more clickbait, no more shady dealings. It's a place where integrity is not just a buzzword but a guiding principle. This new social media titan will prioritize user safety and privacy above all else. Children will be protected, personal data will be guarded like a treasure, and transparency will be the cornerstone of every interaction. Imagine a digital space where users can connect, share, and thrive without fear of exploitation or deception. And yes, this platform will make money. But unlike Facebook, its success won't come at the expense of its users' trust. It will be a fair exchange where value is delivered without compromising principles. Advertising will be relevant and respectful, enhancing the user experience rather than detracting from it.  It’s coming, believe me. Maybe sooner than you think. Meta, beware. The winds of change are blowing, and it's only a matter of time until you become the next Myspace—a relic of a bygone era. The future belongs to those who innovate with integrity and prioritize the well-being of their community. So, brace yourself because the revolution is coming, and when it arrives, the world will finally have a social media platform worthy of its users. So, Facebook, if you're listening (which you probably are because, let's face it, you're always listening), get your act together. Clean up your act. Start valuing quality content and user experience over your bottom line driven by spam and scams. Stop treating us like commodities to be sold to the highest bidder. Until then, I'll be over here, trying to salvage what's left of my faith in social media. And maybe, just maybe, hoping for a platform that actually gives a damn about its legitimate users instead of spammers and scammers. It's time they cleaned up their act and started prioritizing integrity over profit, and governments start handing out major penalties Until then, caveat emptor: let the buyer beware, especially when it comes to anything Facebook promotes on its junkyard of depict, spam and filth. Facebook. Where do I even begin with this colossal junkyard of a platform? It's like someone took the concept of social networking and doused it in a vat of incompetence. Let's talk about how Facebook has managed to mess up beyond all common sense. Firstly, their idea of content moderation seems to be more about randomly throwing darts at a board than actually using any sort of coherent logic. Legitimate posts in perfectly innocuous groups are being whisked away into the digital ether while spam proliferates like a disease. Seriously, how does a post about genuine advice or a thoughtful discussion get flagged and removed, but the umpteenth spammy post for shady sunglasses or miracle weight loss pills in totally irrelevant groups get a free pass? It's like Facebook has an algorithm that's not just broken but actively malicious. Facebook cares more about profit margins than the user experience. Instead of fostering a community where people can share meaningful ideas and connect on a genuine level, they've turned it into a virtual junkyard where the loudest, most obnoxious, spammy advertisers and paid-to-post parasites reign supreme. What happened to valuing quality over quantity? Now, it's all about how many eyeballs they can shove in front of spammy URL posts or advertisements, regardless of whether those eyeballs are seeing something worthwhile or utter garbage. It's a race to the bottom where meaningful content is drowned out by an endless barrage of clickbait. And let's not forget the privacy nightmares. Facebook has more tentacles in your personal life than an overbearing mother-in-law. They track your every move, every click, every like, and probably your wet dreams if they could. Remember when Facebook was caught red-handed with plans to sell user data and received support from Facebook’s most senior executives, including CEO Mark Zuckerberg and chief operating officer Sheryl Sandberg? Yeah, that happened, and somehow, we're all still here, feeding the beast with our personal information. plans to sell user data According to approximately 4,000 pages of leaked internal documents obtained by NBC News, Zuckerberg allegedly supervised strategies aimed at centralizing the social network's influence and stifling competitors by using user data as leverage. This occurred despite public assurances from the company about protecting user data. The documents primarily cover the years 2011 to 2015. Facebook’s (Meta) latest spam joke Case in point: I joined a Facebook group dedicated to blogging and guest posting. Perfect, right? Wrong. I posted a meticulously crafted message with a URL, offering insightful tips on how to craft a perfect guest post . guest post What did Facebook do? What did Facebook do? They promptly removed my post, citing some obscure community guideline violation. Meanwhile, the same group was inundated with spam posts about irrelevant topics, worthless websites, and other scammers , hawked by individuals paid to spread digital garbage like confetti at a clown convention. spam posts other scammers Facebook has lost its way. Digital Nonsense It's crystal clear that Facebook has lost its way. They seem more interested in padding their profits than ensuring a quality user experience. Maybe they're scrimping on competent programmers because their algorithms can't tell the difference between genuine content and spammy trash. There are better options out there, folks. Platforms that actually give a damn about quality and fairness. They know how to handle spam: swiftly and decisively, with bans and suspensions flying like justice from a vigilant sheriff. Meanwhile, Facebook twiddles its thumbs, letting the spammers run amok like unruly toddlers in a toy store. It's time for a change It's time for a change. Governments should consider banning this digital travesty of a platform. We deserve better. We deserve platforms that respect our time, our data, and our intelligence. Facebook had its chance. It's time to let it fade into irrelevance, like the distant memory of a regrettable haircut or Myspace. Facebook could have been a force for good - Instead, it’s a spam-loving machine Facebook could have been a force for good - Instead, it’s a spam-loving machine The saddest part is that Facebook could have been a force for good. It could have been a platform where people from all walks of life could come together, share ideas, and foster genuine connections. Instead, it's a bloated, soulless husk of what it could have been—a place where spam rules and meaningful interaction is a rare gem buried under layers of digital detritus. Facebook Facebook is a joke Facebook is a joke—a sad, outdated relic in the age of superior social media alternatives. Let's move on, shall we? There's a whole world of digital connectivity out there, waiting for us to embrace platforms that actually value what matters. Facebook's love affair with scammers Facebook's love affair with scammers is a textbook example of corporate greed overshadowing ethical responsibility. They don't just turn a blind eye to scammers; they roll out the red carpet for them. It's like they have a special VIP section reserved for shady operators peddling everything from fake diplomas, get-rich-quick schemes, dodgy products and digital services. love affair with scammers shady operators fake It's like they're saying, "Scam away, folks! Just make sure the ad revenue keeps flowing." They rake in cash hand over fist while unsuspecting users fall victim to schemes that would make even the most seasoned con artist blush. Facebook doesn't care. And the best part? Facebook doesn't care. They're too busy counting their ill-gotten gains to bother with pesky details like vetting advertisers or ensuring the legitimacy of promoted services. Who cares if someone's promoting a Ponzi scheme or selling snake oil disguised as miracle cures? Certainly not Facebook, as long as those sweet advertising dollars keep pouring in. Facebook's revenue - Willful ignorance Let's face it: a substantial chunk of Facebook's revenue likely comes from scammers. I mean, do they even bother to check? The obvious answer is no. It's the digital equivalent of renting out billboard space to a carnival barker without asking what's under the tent. They're complicit, whether through negligence or willful ignorance. So, while the rest of us navigate the internet with caution, Facebook gleefully lines its pockets with ad click money earned from the misfortune of others. It's a disgrace, a betrayal of trust, and a stark reminder that when it comes to ethics, Facebook is MIA. Facebook's laissez-faire attitude towards scammy and spammy advertisers is not just irresponsible—it's reprehensible. They owe their users better. They owe the digital community better. It’s time our governments finally put a stop to this mayhem. Hence why I have decided to start my own movement, a reporting agency that finds, responds to and reports every scam we come across. Then, provide a database every month to my national government that reflects the reported scams Meta refuses to remove after being reported. the reported scams A visionary will emerge - Sooner than you think! Someday, a visionary will emerge—someone smarter, bolder, and more ethical than Zuckerberg and his cohort of profit-driven enablers. This visionary will revolutionize social media, leaving Facebook (or Meta, as they now call it) in the dust. (Watch this space) Picture this: a platform where authenticity reigns supreme. Only real people, genuine advertisers, and vetted content are allowed. No more scams, no more clickbait, no more shady dealings. It's a place where integrity is not just a buzzword but a guiding principle. authenticity content This new social media titan will prioritize user safety and privacy above all else. Children will be protected, personal data will be guarded like a treasure, and transparency will be the cornerstone of every interaction. Imagine a digital space where users can connect, share, and thrive without fear of exploitation or deception. And yes, this platform will make money. But unlike Facebook, its success won't come at the expense of its users' trust. It will be a fair exchange where value is delivered without compromising principles. Advertising will be relevant and respectful, enhancing the user experience rather than detracting from it.  It’s coming, believe me. Maybe sooner than you think. Meta, beware. The winds of change are blowing, and it's only a matter of time until you become the next Myspace—a relic of a bygone era. The future belongs to those who innovate with integrity and prioritize the well-being of their community. So, brace yourself because the revolution is coming, and when it arrives, the world will finally have a social media platform worthy of its users. So, Facebook, if you're listening (which you probably are because, let's face it, you're always listening), get your act together. Clean up your act. Start valuing quality content and user experience over your bottom line driven by spam and scams. Stop treating us like commodities to be sold to the highest bidder. Until then, I'll be over here, trying to salvage what's left of my faith in social media. And maybe, just maybe, hoping for a platform that actually gives a damn about its legitimate users instead of spammers and scammers. It's time they cleaned up their act and started prioritizing integrity over profit, and governments start handing out major penalties Until then, caveat emptor: let the buyer beware, especially when it comes to anything Facebook promotes on its junkyard of depict, spam and filth.

Facebook Has Managed To Mess Up Beyond All Common Sense. A Social Media Nightmare 

SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 10 of 26. A. Consensys Solicits Investors And Holds Itself Out As A Place To Buy and Sell Crypto Asset Securities Through Its MetaMask Swaps Brokerage Service. 48. On October 6, 2020, Consensys released MetaMask Swaps to the public. 49. Since then, Consensys has advertised and promoted MetaMask Swaps on its MetaMask website, metamask.io, and social media such as X (formerly, Twitter) as a way for investors to participate in the markets for crypto assets, including crypto asset securities. 50. In its October 6, 2020, launch announcement, Consensys claimed that MetaMask Swaps “offers [investors] the best trading experience in Defi” (referring to so-called “decentralized finance”). 51. More specifically, Consensys stated that the MetaMask Swaps platform offered investors the “best prices” and “deepest liquidity.” 52. The announcement concluded: “MetaMask enables more trades more efficiently by providing an optimized path for every trade.” 53. Consensys conveyed similar promotional messages on its website, at least as of December 2023 54. Its website stated, “Find the best price every time. Swaps ensures that you always have access to the largest selection of tokens and the most competitive prices.” 55. Its website continued to explain that, as part of its efforts to “locate the best trade,” Consensys “sources the best prices and determines which liquidity source is the most gas efficient.” (“Gas” is the fee that investors pay to record a transaction on the Ethereum blockchain. Gas fees are demand-based and increase as more users seek to use the platform. The higher the gas price paid for the transaction, the faster the transaction is likely to be mined. Gas is not refundable even if a transaction fails.) 56. In a January 2022 blog post, Consensys touted MetaMask Swaps as “The Optimized DeFi Trading Experience” and argued that its methodology increased the likelihood of best execution. 57. Consensys also maintains a social media accounts on X called “@MetaMask” and “@MetaMaskSupport” through which it has promoted MetaMask Swaps, apprised investors of new platform developments, and provided customer support. 58. For example, on December 21, 2022, Consensys posted on X, “We’ve expanded the Swaps experience,” including a link to a MetaMask news release on its website, which touted the expansion of the MetaMask Swaps platform capabilities to additional networks. 59. In another December 21, 2022, post on X, Consensys targeted potential investors who may have been unfamiliar with MetaMask Swaps. It stated, “Wait – what even is a Swap?! We got you. Learn all about MetaMask Swaps here.” The accompanying image stated that MetaMask is “[t]he best way to swap your digital tokens” and “Effortless Crypto Swapping and Token Exchange on MetaMask.” 60. Consensys posted another “news” release promoting MetaMask Swaps on its website on July 17, 2023. In a section titled “Unrivaled convenience,” Consensys stated, “Swaps is undeniably convenient. You never have to leave MetaMask to execute your transaction through our vetted group of providers.” The release continued, “Swaps ensures you receive . . . the maximum value for your transaction.” 61. On its MetaMask website and Consensys’s YouTube channel, Consensys has also published a video about its MetaMask Swaps service in which it casts MetaMask Swaps as, in essence, a broker of crypto assets for investors: “Introducing MetaMask Swaps . . . The easiest way to trade Ethereum tokens right from inside your MetaMask Wallet.” This video has been publicly available since March 2021. 62. The video touts the user-friendly nature of the MetaMask Swaps platform and explains that “what makes the [MetaMask Swaps platform] so useful is what it’s doing behind the scenes.” 63. The video narration states (referring to what in the crypto asset markets are called “decentralized exchanges” or “DEXs”) that MetaMask Swaps “compares various DEXs, aggregators, and market makers to find you the best price, with the lowest network fees, and the least slippage.” 64. The video also notes that MetaMask Swaps can split the investor’s trade up “among several providers to give [the investor] access to greater combined liquidity.” 65. The video concludes that MetaMask Swaps does “all that, without you having to, well, think about it, really.” Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part in this filing here. This part is 10 of 26. SEC v. Consensys Software Inc. Court Filing, retrieved on June 28, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part in this filing here . This part is 10 of 26. HackerNoon’s Legal PDF Series here A. Consensys Solicits Investors And Holds Itself Out As A Place To Buy and Sell Crypto Asset Securities Through Its MetaMask Swaps Brokerage Service. 48. On October 6, 2020, Consensys released MetaMask Swaps to the public. 49. Since then, Consensys has advertised and promoted MetaMask Swaps on its MetaMask website, metamask.io, and social media such as X (formerly, Twitter) as a way for investors to participate in the markets for crypto assets, including crypto asset securities. 50. In its October 6, 2020, launch announcement, Consensys claimed that MetaMask Swaps “offers [investors] the best trading experience in Defi” (referring to so-called “decentralized finance”). 51. More specifically, Consensys stated that the MetaMask Swaps platform offered investors the “best prices” and “deepest liquidity.” 52. The announcement concluded: “MetaMask enables more trades more efficiently by providing an optimized path for every trade.” 53. Consensys conveyed similar promotional messages on its website, at least as of December 2023 54. Its website stated, “Find the best price every time. Swaps ensures that you always have access to the largest selection of tokens and the most competitive prices.” 55. Its website continued to explain that, as part of its efforts to “locate the best trade,” Consensys “sources the best prices and determines which liquidity source is the most gas efficient.” (“Gas” is the fee that investors pay to record a transaction on the Ethereum blockchain. Gas fees are demand-based and increase as more users seek to use the platform. The higher the gas price paid for the transaction, the faster the transaction is likely to be mined. Gas is not refundable even if a transaction fails.) 56. In a January 2022 blog post, Consensys touted MetaMask Swaps as “The Optimized DeFi Trading Experience” and argued that its methodology increased the likelihood of best execution. 57. Consensys also maintains a social media accounts on X called “@MetaMask” and “@MetaMaskSupport” through which it has promoted MetaMask Swaps, apprised investors of new platform developments, and provided customer support. 58. For example, on December 21, 2022, Consensys posted on X, “We’ve expanded the Swaps experience,” including a link to a MetaMask news release on its website, which touted the expansion of the MetaMask Swaps platform capabilities to additional networks. 59. In another December 21, 2022, post on X, Consensys targeted potential investors who may have been unfamiliar with MetaMask Swaps. It stated, “Wait – what even is a Swap?! We got you. Learn all about MetaMask Swaps here.” The accompanying image stated that MetaMask is “[t]he best way to swap your digital tokens” and “Effortless Crypto Swapping and Token Exchange on MetaMask.” 60. Consensys posted another “news” release promoting MetaMask Swaps on its website on July 17, 2023. In a section titled “Unrivaled convenience,” Consensys stated, “Swaps is undeniably convenient. You never have to leave MetaMask to execute your transaction through our vetted group of providers.” The release continued, “Swaps ensures you receive . . . the maximum value for your transaction.” 61. On its MetaMask website and Consensys’s YouTube channel, Consensys has also published a video about its MetaMask Swaps service in which it casts MetaMask Swaps as, in essence, a broker of crypto assets for investors: “Introducing MetaMask Swaps . . . The easiest way to trade Ethereum tokens right from inside your MetaMask Wallet.” This video has been publicly available since March 2021. 62. The video touts the user-friendly nature of the MetaMask Swaps platform and explains that “what makes the [MetaMask Swaps platform] so useful is what it’s doing behind the scenes.” 63. The video narration states (referring to what in the crypto asset markets are called “decentralized exchanges” or “DEXs”) that MetaMask Swaps “compares various DEXs, aggregators, and market makers to find you the best price, with the lowest network fees, and the least slippage.” 64. The video also notes that MetaMask Swaps can split the investor’s trade up “among several providers to give [the investor] access to greater combined liquidity.” 65. The video concludes that MetaMask Swaps does “all that, without you having to, well, think about it, really.” Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on June 28, 2024, storage.courtlistener.com is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener.com

MetaMask Swaps Marketed as 'Best' Crypto Trading Experience, Faces SEC Charges

**ROADTOWN, British Virgin Islands, July 2nd, 2024/Chainwire/--**Lif3.com(LIF3/USD)(LIF3/USDt),the revolutionary omni-chain DeFi Layer-1 ecosystem  that operates on Ethereum, Polygon, BNB Chain, and Fantom through LayerZero bridging, is thrilled to announce its premier partnership with evmOS to launch the world's first Layer-1 solution, “Lif3 Chain” designed for public permissionless use with curated contract deployment. The partnership sets a new standard in blockchain technology, DeFi safety, allowing for seamless, secure, and efficient deployment of smart contracts while maintaining the highest levels of transparency and accessibility. The evmOS integration marks a further milestone in the evolution of decentralized applications, allowing opportunities for developers and enterprises worldwide. "Our partnership with evmOS represents a pivotal advancement in the blockchain industry," says Harry Yeh, Managing Director of Quantum FinTech Group. "By introducing the world's first Layer-1 solution for public permissionless use with curated contract deployment, we are enhancing the security and efficiency of smart contract implementation and democratizing access to this transformative technology that is revolutionizing DeFi as we know it. This collaboration shows our commitment to fostering innovation and supporting the entire blockchain ecosystem, providing developers and enterprises with the tools they need to drive the next generation of decentralized applications forward”. “DeFi safety has always been the top priority for myself and the Lif3 project. No solution in the market currently exists to prevent malicious contracts, flash loans, rug pulls, front running contracts and useless token deployments from happening. All permissionless blockchains have this problem where there are an infinite number of contracts running on them that are malicious or garbage. Also fake and useless token contracts ARE a thing of the past. Having experienced these problems myself, I believe the future of De-Fi is one where curated contract deployments will become an industry standard. Think App Store - but for smart contract deployments!" Lif3.com and the Lif3 Wallet can be a platform for those who are interested in the future of decentralized finance and blockchain. The commitment to continuous improvement and innovation positions Lif3 as a frontrunner in shaping the digital economy and its vision towards breaking down barriers to cryptocurrency adoption through the Lif3 Mobile App, a one-stop solution for on-ramping, investing, trading, gaming, iGaming and off-ramping. “LIF3, equipped with evmOS, is now compatible with two of the most trusted blockchain essentials: IBC and EVM. We look forward to seeing LIF3 expand the DeFi landscape and open new doors for users and developers,” says Daniel Burckhardt, Chief BD Officer, evmOS. Benefits of the Lif3.com and evmOS Partnership LIF3 WALLET Availability and Efficiency: The self-custody wallet is now more accessible as the evmOS further supports Lif3’s vision for a more simplified, safer, and interactive user experience. EVM-compatibility facilitates seamless acquisition for consumer DeFi through the Lif3 Wallet available for download on the App Store and Google Play, providing users with secure and convenient access to their digital assets.
Enhanced Security: evmOS provides a secure environment for deploying smart contracts, reducing risks associated with unauthorized access.
Public, Permissionless Use: The industry standard - EVM brought by the evmOS, democratizes access to blockchain technology, allowing anyone to interact with smart contracts.
Lif3’s Curated Contract Deployment: Ensures high-quality, vetted smart contracts, enhancing trust and reliability within the ecosystem.
Innovative Layer-1 Solution: Introduces the world’s first Layer-1 blockchain designed for public, permissionless use access, setting a new industry standard.
Omni-Chain DeFi Ecosystem: Strengthens Lif3.com’s comprehensive DeFi offerings, enabling seamless integration across multiple blockchain networks.
Empowerment of Developers and Enterprises: Offers advanced tools and infrastructure to facilitate the creation and deployment of next-generation decentralized applications.
Advancement of Web3: Drives forward the adoption and potential of Web3 technologies in various sectors, including consumer DeFi, iGaming, music, and entertainment.
Support for Blockchain Ecosystem: Fosters innovation and growth within the blockchain community by providing a robust and versatile platform for development. About the Lif3 Ecosystem Lif3.com is revolutionizing the blockchain industry with its omni-chain DeFi ecosystem and curated Layer-1 blockchain, now enhanced by their pioneering partnership with evmOS to launch the world’s first public, permissionless use Layer-1 solution with curated contract deployment. The self-custody Lif3 Wallet, available on the App Store and Google Play, empowers users by unlocking the full potential of Web3, transforming consumer DeFi, Gaming, iGaming, music, entertainment, and more.($LIF3) is currently listed on Bitfinex, Bitmart, and MEXC.For more information on LIF3, users can contact: Email: media@lif3.com X | Telegram | Discord | News and Updates Logos and branding Users can explore Lif3 Chain Mainnet Preview with Blockscout: Lif3 Blockscout portal https://lif3scout.com/ About Quantum Fintech Group Quantum Fintech Group is a private investment group founded in 2020, and is focused on providing superior returns in the alternative asset space focusing specifically on blockchain investments. X: https://x.com/quantumftg About evmOS evmOS is an interoperable EVM blockchain designed for cross-chain dApp development. With groundbreaking roadmap features, such as Outposts and the evmOS dApp Store, evmOS allows developers to take advantage of the IBC and connect their smart contracts to the interchain ecosystem. The evmOS chain is built with evmOS and remains its flagship demonstration. evmOS is a production-ready modular solution designed to bring EVM compatibility to web3 businesses. Built with Cosmos SDK, evmOS comes with IBC, CometBFT and enables projects to fully customize their chain logic and go beyond standard generic smart contract platforms. With continuous upgrades and maintenance, evmOS empowers anyone to deliver unmatched experiences with their EVM blockchains. Helpful Resources evmOS dApp Store | Website | Developer Documentation Discord | GitHub | X | Telegram | Blog | Careers Contact Media Relations Chantel Elloway Lif3 Labs Limited media@lif3.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **ROADTOWN, British Virgin Islands, July 2nd, 2024/Chainwire/--**Lif3.com(LIF3/USD)(LIF3/USDt),the revolutionary omni-chain DeFi Layer-1 ecosystem  that operates on Ethereum, Polygon, BNB Chain, and Fantom through LayerZero bridging, is thrilled to announce its premier partnership with evmOS to launch the world's first Layer-1 solution, “Lif3 Chain” designed for public permissionless use with curated contract deployment. The partnership sets a new standard in blockchain technology, DeFi safety, allowing for seamless, secure, and efficient deployment of smart contracts while maintaining the highest levels of transparency and accessibility. The evmOS integration marks a further milestone in the evolution of decentralized applications, allowing opportunities for developers and enterprises worldwide. "Our partnership with evmOS represents a pivotal advancement in the blockchain industry," says Harry Yeh, Managing Director of Quantum FinTech Group. "Our partnership with evmOS represents a pivotal advancement in the blockchain industry," says Harry Yeh , Managing Director of Quantum FinTech Group . Harry Yeh Harry Yeh Quantum FinTech Group Quantum FinTech Group "By introducing the world's first Layer-1 solution for public permissionless use with curated contract deployment, we are enhancing the security and efficiency of smart contract implementation and democratizing access to this transformative technology that is revolutionizing DeFi as we know it. This collaboration shows our commitment to fostering innovation and supporting the entire blockchain ecosystem, providing developers and enterprises with the tools they need to drive the next generation of decentralized applications forward”. "By introducing the world's first Layer-1 solution for public permissionless use with curated contract deployment, we are enhancing the security and efficiency of smart contract implementation and democratizing access to this transformative technology that is revolutionizing DeFi as we know it. This collaboration shows our commitment to fostering innovation and supporting the entire blockchain ecosystem, providing developers and enterprises with the tools they need to drive the next generation of decentralized applications forward”. “DeFi safety has always been the top priority for myself and the Lif3 project. No solution in the market currently exists to prevent malicious contracts, flash loans, rug pulls, front running contracts and useless token deployments from happening. All permissionless blockchains have this problem where there are an infinite number of contracts running on them that are malicious or garbage. Also fake and useless token contracts ARE a thing of the past. Having experienced these problems myself, I believe the future of De-Fi is one where curated contract deployments will become an industry standard. Think App Store - but for smart contract deployments!" “DeFi safety has always been the top priority for myself and the Lif3 project. No solution in the market currently exists to prevent malicious contracts, flash loans, rug pulls, front running contracts and useless token deployments from happening. All permissionless blockchains have this problem where there are an infinite number of contracts running on them that are malicious or garbage. Also fake and useless token contracts ARE a thing of the past. Having experienced these problems myself, I believe the future of De-Fi is one where curated contract deployments will become an industry standard. Think App Store - but for smart contract deployments!" Lif3.com and the Lif3 Wallet can be a platform for those who are interested in the future of decentralized finance and blockchain. The commitment to continuous improvement and innovation positions Lif3 as a frontrunner in shaping the digital economy and its vision towards breaking down barriers to cryptocurrency adoption through the Lif3 Mobile App, a one-stop solution for on-ramping, investing, trading, gaming, iGaming and off-ramping. Lif3.com Lif3.com Lif3 Wallet Lif3 Wallet “LIF3, equipped with evmOS, is now compatible with two of the most trusted blockchain essentials: IBC and EVM. We look forward to seeing LIF3 expand the DeFi landscape and open new doors for users and developers,” says Daniel Burckhardt, Chief BD Officer, evmOS. “LIF3, equipped with evmOS, is now compatible with two of the most trusted blockchain essentials: IBC and EVM. We look forward to seeing LIF3 expand the DeFi landscape and open new doors for users and developers,” says Daniel Burckhardt, Chief BD Officer, evmOS. Benefits of the Lif3.com and evmOS Partnership LIF3 WALLET Availability and Efficiency: The self-custody wallet is now more accessible as the evmOS further supports Lif3’s vision for a more simplified, safer, and interactive user experience. EVM-compatibility facilitates seamless acquisition for consumer DeFi through the Lif3 Wallet available for download on the App Store and Google Play, providing users with secure and convenient access to their digital assets. Enhanced Security: evmOS provides a secure environment for deploying smart contracts, reducing risks associated with unauthorized access. Public, Permissionless Use: The industry standard - EVM brought by the evmOS, democratizes access to blockchain technology, allowing anyone to interact with smart contracts. Lif3’s Curated Contract Deployment: Ensures high-quality, vetted smart contracts, enhancing trust and reliability within the ecosystem. Innovative Layer-1 Solution: Introduces the world’s first Layer-1 blockchain designed for public, permissionless use access, setting a new industry standard. Omni-Chain DeFi Ecosystem: Strengthens Lif3.com’s comprehensive DeFi offerings, enabling seamless integration across multiple blockchain networks. Empowerment of Developers and Enterprises: Offers advanced tools and infrastructure to facilitate the creation and deployment of next-generation decentralized applications. Advancement of Web3: Drives forward the adoption and potential of Web3 technologies in various sectors, including consumer DeFi, iGaming, music, and entertainment. Support for Blockchain Ecosystem: Fosters innovation and growth within the blockchain community by providing a robust and versatile platform for development. LIF3 WALLET Availability and Efficiency: The self-custody wallet is now more accessible as the evmOS further supports Lif3’s vision for a more simplified, safer, and interactive user experience. EVM-compatibility facilitates seamless acquisition for consumer DeFi through the Lif3 Wallet available for download on the App Store and Google Play , providing users with secure and convenient access to their digital assets. Lif3 Wallet Lif3 Wallet App Store App Store Google Play Google Play Enhanced Security: evmOS provides a secure environment for deploying smart contracts, reducing risks associated with unauthorized access. Public, Permissionless Use: The industry standard - EVM brought by the evmOS, democratizes access to blockchain technology, allowing anyone to interact with smart contracts. Lif3’s Curated Contract Deployment: Ensures high-quality, vetted smart contracts, enhancing trust and reliability within the ecosystem. Innovative Layer-1 Solution: Introduces the world’s first Layer-1 blockchain designed for public, permissionless use access, setting a new industry standard. Omni-Chain DeFi Ecosystem: Strengthens Lif3.com’s comprehensive DeFi offerings, enabling seamless integration across multiple blockchain networks. Empowerment of Developers and Enterprises: Offers advanced tools and infrastructure to facilitate the creation and deployment of next-generation decentralized applications. Advancement of Web3: Drives forward the adoption and potential of Web3 technologies in various sectors, including consumer DeFi, iGaming, music, and entertainment. Support for Blockchain Ecosystem: Fosters innovation and growth within the blockchain community by providing a robust and versatile platform for development. About the Lif3 Ecosystem Lif3.com is revolutionizing the blockchain industry with its omni-chain DeFi ecosystem and curated Layer-1 blockchain, now enhanced by their pioneering partnership with evmOS to launch the world’s first public, permissionless use Layer-1 solution with curated contract deployment. The self-custody Lif3 Wallet , available on the App Store and Google Play , empowers users by unlocking the full potential of Web3, transforming consumer DeFi, Gaming, iGaming, music, entertainment, and more.($LIF3) is currently listed on Bitfinex , Bitmart , and MEXC .For more information on LIF3, users can contact: Lif3.com Lif3.com Lif3 Wallet Lif3 Wallet App Store App Store Google Play Google Play Bitfinex Bitfinex Bitmart Bitmart MEXC MEXC Email: media@lif3.com X | Telegram | Discord | News and Updates X X Telegram Telegram Discord Discord News and Updates News and Updates Logos and branding Logos and branding Logos and branding Users can explore Lif3 Chain Mainnet Preview with Blockscout: Lif3 Blockscout portal https://lif3scout.com/ https://lif3scout.com/ https://lif3scout.com/ About Quantum Fintech Group Quantum Fintech Group is a private investment group founded in 2020, and is focused on providing superior returns in the alternative asset space focusing specifically on blockchain investments. X: https://x.com/quantumftg https://x.com/quantumftg https://x.com/quantumftg About evmOS evmOS is an interoperable EVM blockchain designed for cross-chain dApp development. With groundbreaking roadmap features, such as Outposts and the evmOS dApp Store, evmOS allows developers to take advantage of the IBC and connect their smart contracts to the interchain ecosystem. The evmOS chain is built with evmOS and remains its flagship demonstration. evmOS is a production-ready modular solution designed to bring EVM compatibility to web3 businesses. Built with Cosmos SDK, evmOS comes with IBC, CometBFT and enables projects to fully customize their chain logic and go beyond standard generic smart contract platforms. With continuous upgrades and maintenance, evmOS empowers anyone to deliver unmatched experiences with their EVM blockchains. Helpful Resources evmOS dApp Store | Website | Developer Documentation evmOS dApp Store evmOS dApp Store Website Website Developer Documentation Developer Documentation Discord | GitHub | X | Telegram | Blog | Careers Discord Discord GitHub GitHub X X Telegram Telegram Blog Blog Careers Careers Contact Media Relations Chantel Elloway Lif3 Labs Limited media@lif3.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Lif3.com Partners With evmOS To Deploy Lif3 Chain First Layer-1 Solution With Curated DeFi Contracts

Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note (2): Soon after publication of this story, a senior member of the Metablaze team reached out to HackerNoon raising concerns with the author’s claims, specifically, the claim that Metablaze re-routed the entire $1.6 million for liquidity towards development costs and that the MetaGoblings and MetaRoyals were worthless. According to MetaBlaze, the author’s accusations are unfounded and inaccurate. The HackerNoon team has asked MetaBlaze for an official statement, but did not receive one at the time of publication. HackerNoon will update this space once it receives an official statement from MetaBlaze. #DYOR The Siren's Call of Big Crypto Profits It was early 2022 and the crypto mania was in full swing. Stories of kids getting insanely rich from bizarre digital assets called NFTs and meme coins were inescapable. As a rookie, I got caught up in the gold rush fever, blinded by visions of bounties from this weird new digital world. I started hunting for the next big crypto score that could make me rich. That's when the MetaBlaze ads slithered into my feed. Their marketing pushed all the right buttons - an immersive World of Warcraft style metaverse filled with orcs, elves, dwarfs, and gnomes, brought to life through the MetaGoblins, and their exclusive MetaRoyals NFT collections. They boasted cutting-edge blockchain tech, and a founder's tale of overcoming past crypto scams to launch an ambitious, transparent Play-to-Earn platform. It all seemed too good to be true: a $4 million presale fundraising campaign gaining momentum even during the bear market, a fully transparent team with a Certik Gold Badge KYC and audit, a large supportive community, and even the founders' friends and family deeply invested. In the NFT.NYC event in 2023, the team sponsored the event and hosted an escape room gaming experience featuring the MetaBlaze concept, seen by hundreds of visitors who were welcomed by the founding team themselves. By this point, I was already all in. The Sobering Reality: Over $XX,XXX...Poof! Fast forward a year later, and my MetaBlaze investment has gone to crypto ashes. Over $4 million raised from investors worldwide inexplicably vaporized before anything was even launched. Not only was there nothing left for the ballyhooed liquidity pool. The entire $1.6 million liquidity supposedly locked for the launch on a decentralized exchange had been re-routed to black hole development costs. My portfolio today shows billions of worthless MetaGoblings and MetaRoyals alongside a thick folder of unkept promises and heartache. Whether due to rank mismanagement or more nefarious motives, my painful experience with MetaBlaze's spectacular implosion has bestowed some tough but incredibly valuable lessons about investing in this volatile blockchain space. Hindsight is 20/20, but foresight is precious: Lesson 1: Don't Invest Too Early - Patience Pays No matter how sexy the pitch is, avoid falling for ground-floor investment opportunities without any tangible progress or users. This is hard in crypto where hype incentivizes putting money behind vapor ideas and promises. But have restraint - wait for at least a minimum viable product with real utility and evidence of an imminent launch before risking capital. Investing in the days before the actual liftoff gives you drastically better odds. Lesson 2: Lean on Launchpads' Proven Processes For inexperienced crypto investors, the additional scrutiny and vetting of leading launchpads is invaluable. Their curated project pools represent opportunities thoroughly vetted by professionals adept at separating sophisticated startups from potential failures. Seek the guiding hand and protections of a reputable launchpad. Lesson 3: DYOR Isn't Optional - It's An Investing Imperative No amount of marketing glitz, founder clout, or promised upside can substitute for a team's ability to ship and sustain an actual working product. Badges like being "doxxed" and passing security audits are nice checks in the plus column, but in no way guarantee viability. Do your exhaustive research. Check every team member's experience, and judge for yourself qualifications for the job. Don’t trust what they tell you. Trust what you know. The School of Hard Knocks Appreciates Your Tuition There were many important lessons from mine and also others failed presale investment experiences. But in this article, I wanted to focus on the ones that are less talked about. There's no sugar-coating how much my expensive tuition at the School of Hard Crypto Knocks has stung. But the lessons have been invaluable in shaping how I now approach the space. Moving forward, I'll be sticking to the fundamentals - investing with patience, doing exhaustive research, and never again chasing feverish crypto get-rich-quick fantasies based on hype and hollow promises. There's still substantial money to be made in this volatile arena, but it will come through methodical investing, not falling for obvious rookie pitfalls. I hope sharing the painful details of my humbling experience can help others identify and sidestep similar hazards as they navigate the boundless opportunities, and risks of the blockchain frontier. Thanks to MetaBlaze and MetaGoblings everywhere, my education has been paid for. Now class is in session! Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note (2): Soon after publication of this story, a senior member of the Metablaze team reached out to HackerNoon raising concerns with the author’s claims, specifically, the claim that Metablaze re-routed the entire $1.6 million for liquidity towards development costs and that the MetaGoblings and MetaRoyals were worthless. According to MetaBlaze, the author’s accusations are unfounded and inaccurate. The HackerNoon team has asked MetaBlaze for an official statement, but did not receive one at the time of publication. HackerNoon will update this space once it receives an official statement from MetaBlaze. #DYOR Editor’s note (2): Soon after publication of this story, a senior member of the Metablaze team reached out to HackerNoon raising concerns with the author’s claims, specifically, the claim that Metablaze re-routed the entire $1.6 million for liquidity towards development costs and that the MetaGoblings and MetaRoyals were worthless. According to MetaBlaze, the author’s accusations are unfounded and inaccurate. The HackerNoon team has asked MetaBlaze for an official statement, but did not receive one at the time of publication. HackerNoon will update this space once it receives an official statement from MetaBlaze. #DYOR Editor’s note (2): Soon after publication of this story, a senior member of the Metablaze team reached out to HackerNoon raising concerns with the author’s claims, specifically, the claim that Metablaze re-routed the entire $1.6 million for liquidity towards development costs and that the MetaGoblings and MetaRoyals were worthless. According to MetaBlaze, the author’s accusations are unfounded and inaccurate. Editor’s note (2): Soon after publication of this story, a senior member of the Metablaze team reached out to HackerNoon raising concerns with the author’s claims, specifically, the claim that Metablaze re-routed the entire $1.6 million for liquidity towards development costs and that the MetaGoblings and MetaRoyals were worthless. According to MetaBlaze, the author’s accusations are unfounded and inaccurate. The HackerNoon team has asked MetaBlaze for an official statement, but did not receive one at the time of publication. HackerNoon will update this space once it receives an official statement from MetaBlaze. #DYOR The HackerNoon team has asked MetaBlaze for an official statement, but did not receive one at the time of publication. HackerNoon will update this space once it receives an official statement from MetaBlaze. #DYOR The Siren's Call of Big Crypto Profits It was early 2022 and the crypto mania was in full swing. Stories of kids getting insanely rich from bizarre digital assets called NFTs and meme coins were inescapable. As a rookie, I got caught up in the gold rush fever, blinded by visions of bounties from this weird new digital world. I started hunting for the next big crypto score that could make me rich. That's when the MetaBlaze ads slithered into my feed. Their marketing pushed all the right buttons - an immersive World of Warcraft style metaverse filled with orcs, elves, dwarfs, and gnomes, brought to life through the MetaGoblins , and their exclusive MetaRoyals NFT collections. They boasted cutting-edge blockchain tech, and a founder's tale of overcoming past crypto scams to launch an ambitious, transparent Play-to-Earn platform. World of Warcraft MetaGoblins MetaRoyals NFT It all seemed too good to be true: a $4 million presale fundraising campaign gaining momentum even during the bear market , a fully transparent team with a Certik Gold Badge KYC and audit, a large supportive community, and even the founders' friends and family deeply invested. In the NFT.NYC event in 2023, the team sponsored the event and hosted an escape room gaming experience featuring the MetaBlaze concept, seen by hundreds of visitors who were welcomed by the founding team themselves. By this point, I was already all in. the bear market The Sobering Reality: Over $XX,XXX...Poof! Fast forward a year later, and my MetaBlaze investment has gone to crypto ashes. Over $4 million raised from investors worldwide inexplicably vaporized before anything was even launched. Not only was there nothing left for the ballyhooed liquidity pool. The entire $1.6 million liquidity supposedly locked for the launch on a decentralized exchange had been re-routed to black hole development costs. My portfolio today shows billions of worthless MetaGoblings and MetaRoyals alongside a thick folder of unkept promises and heartache. $1.6 million liquidity decentralized exchange Whether due to rank mismanagement or more nefarious motives , my painful experience with MetaBlaze's spectacular implosion has bestowed some tough but incredibly valuable lessons about investing in this volatile blockchain space. Hindsight is 20/20, but foresight is precious: rank mismanagement or more nefarious motives Lesson 1: Don't Invest Too Early - Patience Pays No matter how sexy the pitch is, avoid falling for ground-floor investment opportunities without any tangible progress or users. This is hard in crypto where hype incentivizes putting money behind vapor ideas and promises. But have restraint - wait for at least a minimum viable product with real utility and evidence of an imminent launch before risking capital. Investing in the days before the actual liftoff gives you drastically better odds. Lesson 2: Lean on Launchpads' Proven Processes For inexperienced crypto investors, the additional scrutiny and vetting of leading launchpads is invaluable. Their curated project pools represent opportunities thoroughly vetted by professionals adept at separating sophisticated startups from potential failures. Seek the guiding hand and protections of a reputable launchpad. Lesson 3: DYOR Isn't Optional - It's An Investing Imperative No amount of marketing glitz, founder clout, or promised upside can substitute for a team's ability to ship and sustain an actual working product. Badges like being "doxxed" and passing security audits are nice checks in the plus column, but in no way guarantee viability. Do your exhaustive research. Check every team member's experience, and judge for yourself qualifications for the job. Don’t trust what they tell you. Trust what you know. The School of Hard Knocks Appreciates Your Tuition The School of Hard Knocks Appreciates Your Tuition There were many important lessons from mine and also others failed presale investment experiences. But in this article, I wanted to focus on the ones that are less talked about. There's no sugar-coating how much my expensive tuition at the School of Hard Crypto Knocks has stung. But the lessons have been invaluable in shaping how I now approach the space. Moving forward, I'll be sticking to the fundamentals - investing with patience, doing exhaustive research, and never again chasing feverish crypto get-rich-quick fantasies based on hype and hollow promises. There's still substantial money to be made in this volatile arena, but it will come through methodical investing, not falling for obvious rookie pitfalls. I hope sharing the painful details of my humbling experience can help others identify and sidestep similar hazards as they navigate the boundless opportunities, and risks of the blockchain frontier. Thanks to MetaBlaze and MetaGoblings everywhere, my education has been paid for. Now class is in session!

Rookie Crypto Mistakes: Painful Lessons from the MetaBlaze Presale Investment

রুকি ক্রিপ্টো ভুল: মেটাব্লেজ প্রিসেল ইনভেস্টমেন্ট থেকে বেদনাদায়ক পাঠ

Anfängerfehler bei Kryptowährungen: Schmerzhafte Lektionen aus der MetaBlaze-Vorverkaufsinvestition

Errores criptográficos de novatos: lecciones dolorosas de la inversión en preventa de MetaBlaze

Erreurs de cryptographie des recrues : leçons douloureuses de l'investissement de prévente MetaBlaze

रूकी क्रिप्टो गलतियाँ: मेटाब्लेज़ प्रीसेल निवेश से दर्दनाक सबक

暗号通貨初心者の失敗: MetaBlaze プレセール投資から学んだ痛い教訓

초보 암호화폐 실수: MetaBlaze 사전 판매 투자에서 얻은 뼈아픈 교훈

Erros de criptografia de novato: lições dolorosas do investimento pré-venda MetaBlaze

Крипто-ошибки новичков: болезненные уроки предпродажной инвестиции MetaBlaze

Çaylak Kripto Hataları: MetaBlaze Satış Öncesi Yatırımından Acı Dersler

Những sai lầm của tân binh về tiền điện tử: Bài học đau đớn từ khoản đầu tư bán trước MetaBlaze

新手加密货币错误：MetaBlaze 预售投资的惨痛教训

The small commercial building sector faces a significant dilemma: reliance on antiquated heating, ventilation, and air conditioning (HVAC) technology. This outdated technology leads to frequent maintenance issues, resulting in high operational expenses and increased carbon emissions. Fortunately, advanced technologies like artificial intelligence (AI) and wireless sensors are revolutionizing HVAC system management. These innovations promise increased energy efficiency, reduced costs, and a more sustainable future. Rahul Subramany, co-founder and chief technology officer of Monaire, an end-to-end heating, HVAC, and refrigeration management service for small businesses, says, “Combining AI, wireless sensors, and skilled technicians can transform HVAC systems in small commercial buildings.” The Untapped Potential of Small Commercial Buildings Small and medium buildings with an area of less than 50,000 square feet represent a significant portion of the commercial building stock in the United States. These buildings, including restaurants and convenience stores, account for 94% of U.S. commercial buildings, roughly 5.5 million buildings, 50% of U.S. total building square footage, and 44% of total commercial building energy use. Despite their collective impact, over 85% of these buildings use outdated, analog HVAC technologies. The reason is simple: advanced, modern HVAC technology has been out of reach for these buildings due to cost and complexity. "Modern HVAC tech available today is targeted at larger buildings with deeper pockets,” explains Subramany. "They require sophisticated design, implementation, and dedicated facility management personnel to operate. Small and medium buildings do not have the scale to afford such personnel." The reliance on legacy HVAC technology in small commercial buildings comes at a steep price. Estimates show these inefficiencies waste billions of dollars annually in the U.S. alone. The amount totals around $65 billion in excess energy use, business losses due to downtime, food waste, and reduced employee productivity. “There's also a split incentive between owner and tenant in smaller buildings," Subramany points out. "The owner is typically responsible for capital purchases while the operational expenses reside with tenants. Owners, hence, only want to pay for the cheapest equipment and pass on all the higher operational costs to tenants." Monaire's AI-Driven Method Monaire aims to bridge this gap by offering a solution that combines AI, wireless sensors, and skilled technicians to upgrade HVAC systems in these buildings, all without significant capital investment or the need for dedicated personnel. "Our solution involves low capital outlay," Subramany explains*. "We use wireless sensors and controls that can be retrofitted into existing equipment, eliminating the need for replacement."* The AI component of Monaire's solution acts as dedicated facilities personnel, continuously monitoring equipment, automatically correcting efficiency drops, determining root causes when manual intervention is needed, and presenting them to technicians. "We work with vetted, curated technicians from partner contractors," Subramany adds. "They are empowered with AI insights, and our apps enhance their workflows." Monaire's technology significantly impacts small commercial buildings. Implementing their solution can reduce HVAC energy and repair costs by 30% and downtime and food waste by 75%. Some industry experts remain cautious about the concept of AI-driven HVAC technology, considering the need to make sure such solutions are environmentally sustainable in the long run. Subramany believes, however, that Monaire's technique strikes the right balance between innovation and sustainability, paving the way for a more efficient and eco-friendly future. A Visionary Perspective on Sustainable Building Management As Monaire continues to roll out its technology, Subramany's vision for transforming small commercial buildings through state-of-the-art HVAC solutions becomes increasingly clear. With a deep understanding of the industry's challenges and a commitment to taking advantage of the latest technologies, he is leading the charge in making advanced HVAC systems accessible and affordable for a segment that has long been overlooked. Subramany has been the driving force behind Monaire’s technology stack development. “Solving challenging problems like the HVAC one in small commercial buildings requires hardware, software, and services to be carefully curated,” he points out. “I realized this, having spent years doing the same at Lutron Electronics and SimpliSafe.” The unique technology Subramany helped develop and its instant market validation have helped Monaire raise over $4.1M from prominent investors. Monaire was also recently accepted into Greentown Labs, North America’s largest ecosystem of climate tech companies, further validating its success. “We are only getting started,” Subramany states. “We wish to help accelerate the world’s transition to more sustainable heating and cooling. We are working on some really cool ideas, including one involving using HVAC and Refrigeration systems to help offset demand when electricity grids are strained.” “We can drastically reduce the carbon impact of HVAC systems while helping businesses save money by digitizing HVAC systems, pairing them up with renewable energy sources, providing grid services, etc.,” he concludes. With Subramany's visionary leadership and commitment to pushing the boundaries of what's possible, the transformation of small commercial buildings through cutting-edge HVAC technology is underway. The small commercial building sector faces a significant dilemma: reliance on antiquated heating, ventilation, and air conditioning (HVAC) technology. This outdated technology leads to frequent maintenance issues, resulting in high operational expenses and increased carbon emissions. Fortunately, advanced technologies like artificial intelligence (AI) and wireless sensors are revolutionizing HVAC system management. These innovations promise increased energy efficiency, reduced costs, and a more sustainable future. Rahul Subramany , co-founder and chief technology officer of Monaire , an end-to-end heating, HVAC, and refrigeration management service for small businesses, says, “Combining AI, wireless sensors, and skilled technicians can transform HVAC systems in small commercial buildings. ” Rahul Subramany Rahul Subramany Monaire Monaire “Combining AI, wireless sensors, and skilled technicians can transform HVAC systems in small commercial buildings. The Untapped Potential of Small Commercial Buildings The Untapped Potential of Small Commercial Buildings Small and medium buildings with an area of less than 50,000 square feet represent a significant portion of the commercial building stock in the United States. These buildings, including restaurants and convenience stores, account for 94% of U.S. commercial buildings, roughly 5.5 million buildings, 50% of U.S. total building square footage, and 44% of total commercial building energy use. significant portion of the commercial building stock significant portion of the commercial building stock Despite their collective impact, over 85% of these buildings use outdated, analog HVAC technologies. The reason is simple: advanced, modern HVAC technology has been out of reach for these buildings due to cost and complexity. "Modern HVAC tech available today is targeted at larger buildings with deeper pockets,” explains Subramany. "They require sophisticated design, implementation, and dedicated facility management personnel to operate. Small and medium buildings do not have the scale to afford such personnel." "Modern HVAC tech available today is targeted at larger buildings with deeper pockets,” "They require sophisticated design, implementation, and dedicated facility management personnel to operate. Small and medium buildings do not have the scale to afford such personnel." The reliance on legacy HVAC technology in small commercial buildings comes at a steep price. Estimates show these inefficiencies waste billions of dollars annually in the U.S. alone. The amount totals around $65 billion in excess energy use, business losses due to downtime, food waste, and reduced employee productivity. “There's also a split incentive between owner and tenant in smaller buildings," Subramany points out. "The owner is typically responsible for capital purchases while the operational expenses reside with tenants. Owners, hence, only want to pay for the cheapest equipment and pass on all the higher operational costs to tenants." “There's also a split incentive between owner and tenant in smaller buildings," "The owner is typically responsible for capital purchases while the operational expenses reside with tenants. Owners, hence, only want to pay for the cheapest equipment and pass on all the higher operational costs to tenants." Monaire's AI-Driven Method Monaire's AI-Driven Method Monaire aims to bridge this gap by offering a solution that combines AI, wireless sensors, and skilled technicians to upgrade HVAC systems in these buildings, all without significant capital investment or the need for dedicated personnel. "Our solution involves low capital outlay," Subramany explains*. "We use wireless sensors and controls that can be retrofitted into existing equipment, eliminating the need for replacement."* "Our solution involves low capital outlay," The AI component of Monaire's solution acts as dedicated facilities personnel, continuously monitoring equipment, automatically correcting efficiency drops, determining root causes when manual intervention is needed, and presenting them to technicians. "We work with vetted, curated technicians from partner contractors," Subramany adds. "They are empowered with AI insights, and our apps enhance their workflows." "We work with vetted, curated technicians from partner contractors," "They are empowered with AI insights, and our apps enhance their workflows." Monaire's technology significantly impacts small commercial buildings. Implementing their solution can reduce HVAC energy and repair costs by 30% and downtime and food waste by 75%. Some industry experts remain cautious about the concept of AI-driven HVAC technology, considering the need to make sure such solutions are environmentally sustainable in the long run. Subramany believes, however, that Monaire's technique strikes the right balance between innovation and sustainability, paving the way for a more efficient and eco-friendly future. A Visionary Perspective on Sustainable Building Management A Visionary Perspective on Sustainable Building Management As Monaire continues to roll out its technology, Subramany's vision for transforming small commercial buildings through state-of-the-art HVAC solutions becomes increasingly clear. With a deep understanding of the industry's challenges and a commitment to taking advantage of the latest technologies, he is leading the charge in making advanced HVAC systems accessible and affordable for a segment that has long been overlooked. Subramany has been the driving force behind Monaire’s technology stack development. “ Solving challenging problems like the HVAC one in small commercial buildings requires hardware, software, and services to be carefully curated,” he points out. “I realized this, having spent years doing the same at Lutron Electronics and SimpliSafe.” Solving challenging problems like the HVAC one in small commercial buildings requires hardware, software, and services to be carefully curated,” “I realized this, having spent years doing the same at Lutron Electronics and SimpliSafe.” The unique technology Subramany helped develop and its instant market validation have helped Monaire raise over $4.1M from prominent investors. Monaire was also recently accepted into Greentown Labs, North America’s largest ecosystem of climate tech companies, further validating its success. “ We are only getting started,” Subramany states. “ We wish to help accelerate the world’s transition to more sustainable heating and cooling. We are working on some really cool ideas, including one involving using HVAC and Refrigeration systems to help offset demand when electricity grids are strained.” We are only getting started,” We wish to help accelerate the world’s transition to more sustainable heating and cooling. We are working on some really cool ideas, including one involving using HVAC and Refrigeration systems to help offset demand when electricity grids are strained.” “ We can drastically reduce the carbon impact of HVAC systems while helping businesses save money by digitizing HVAC systems, pairing them up with renewable energy sources, providing grid services, etc.,” he concludes. We can drastically reduce the carbon impact of HVAC systems while helping businesses save money by digitizing HVAC systems, pairing them up with renewable energy sources, providing grid services, etc.,” With Subramany's visionary leadership and commitment to pushing the boundaries of what's possible, the transformation of small commercial buildings through cutting-edge HVAC technology is underway.

Transforming Small Commercial Buildings with State-of-the-Art HVAC Technology

অত্যাধুনিক HVAC প্রযুক্তির সাহায্যে ছোট বাণিজ্যিক ভবনগুলিকে রূপান্তর করা

Umgestaltung kleiner Gewerbegebäude mit modernster HLK-Technologie

Transformando pequeños edificios comerciales con tecnología HVAC de última generación

Transformer les petits bâtiments commerciaux avec une technologie CVC de pointe

अत्याधुनिक एचवीएसी प्रौद्योगिकी के साथ छोटे वाणिज्यिक भवनों का रूपांतरण

最先端の HVAC テクノロジーで小規模商業ビルを変革

최첨단 HVAC 기술로 소규모 상업용 건물을 변화시키다

Transformando pequenos edifícios comerciais com tecnologia HVAC de última geração

Преобразование небольших коммерческих зданий с помощью новейших технологий HVAC

Küçük Ticari Binaları En Son HVAC Teknolojisiyle Dönüştürmek

Chuyển đổi các tòa nhà thương mại nhỏ bằng công nghệ HVAC hiện đại

利用最先进的 HVAC 技术改造小型商业建筑

A Hitchhiker's Guide to Restaking and Its Risks

রিস্ট্যাকিং এবং এর ঝুঁকির জন্য হিচহাইকারস গাইড

Per Anhalter durch die Neuverpfändung und ihre Risiken

Una guía para autoestopistas sobre retomar y sus riesgos

Guide de l'auto-stoppeur sur le reprise et ses risques

एक सहयात्री की रीस्टेकिंग और उसके जोखिमों के बारे में मार्गदर्शिका

再ステーキングとそのリスクに関するヒッチハイカーガイド

재예약과 그 위험에 대한 히치하이커를 위한 가이드

Um guia do mochileiro para reestabelecer e seus riscos

Путешественник автостопом по пересдаче и ее рискам

Bir Otostopçunun Yeniden Seks Yapma Rehberi ve Riskleri

Hướng dẫn cho người quá giang về việc đặt lại và rủi ro của nó

搭便车者指南：重新抵押及其风险

Does artificial intelligence have a place in politics? The answer may not matter. While AI-driven political campaigns might seem futuristic, they’re already here — and may permanently change how future candidates run for office. AI Is Transforming Modern Politics Now that AI has entered the picture, the current political landscape is reminiscent of the wild west. Currently, there aren’t federal rules on campaigns using AI-generated content. While the United States Federal Election Commission is contemplating rolling some out, it can’t keep pace with technological advancements. Voter analysis is fundamental to most modern strategies since voters’ opinions decide elections. With AI, teams can rapidly analyze massive amounts of constituent data. In other words, they fast-track their decision-making process. The Trump campaign did this for the 2016 presidential election, and Biden’s did it for the 2020 election. This technology is also transforming fundraising. Before, political candidates would air radio commercials or make TV appearances to drum up support and kickstart cash flow. With AI, they can analyze past contributions, communication preferences, and income data to see who’s most likely to donate. They can even use chatbots to engage with potential donors instantly. Candidates can even use a generative model to develop appealing personas. It can tell them how to act, what to say, and what stances to take, helping them craft the most appealing version of themselves and transforming how modern politicians approach current issues and connect with voters. Given that algorithms are reshaping voter analysis, fundraising, communications, and talking points — almost every aspect of modern strategies — political analysts’ argument that tech has affected campaigns is unsurprising. How AI Reshapes Campaign Strategies Algorithms can analyze vast amounts of unstructured data — information not stored in databases or spreadsheets — inhumanly fast. It can process thousands of social media posts, websites, text documents, photos, or videos in seconds, swiftly generating valuable insights for candidates and campaign managers. Teams can feed voter information into an AI-powered digital twin to simulate campaign strategies without risking money, time, or their public image. By adjusting variables like the states they visit or the number of their rallies, they figure out how to optimize their outreach efforts. With predictive analytics, they can forecast voter behavior without putting in the effort to simulate their campaign. They can see the likelihood certain blocs will vote for them using voting patterns, geographic data, online behavior, demographics, and survey results. They can use those insights to reshape their strategies to change people’s minds. Generative models help teams tailor messages to specific groups. Someday, they may use deepfake technology to get in touch with individual voters, hyper-personalizing their outreach efforts. AI-driven campaigns like this one would be seriously effective. Will AI-Driven Campaigns Affect Democracy? Like most things nowadays, AI has light and dark sides. While AI-driven campaigns could be transformative forces that bring the world into a new age of comprehensive outreach and lighting-fast information dissemination, they also have the power to mislead voters and propagate the spread of dangerous misinformation. Most people are more concerned with the second prospect — and want something done about it. According to one recent survey, 68% of people agree AI use should be voluntarily disclosed. Considering how subtle this technology's influence can be, the general public’s support for transparency makes sense. That said, not everyone believes decision-makers will willingly embrace transparency. Inevitably, many people support regulation — an opinion that bridges party lines. Four in 10 people think algorithms should be much more regulated, including 41% of democrats, 40% of independents, and 39% of republicans. Ethical and Privacy Considerations Political analysts, the general public, and even politicians have plenty of ethical and privacy concerns about AI in politics. Political Candidate’s Overreliance on AI What happens when AI-driven political campaigns become the norm? If candidates consistently do what an algorithm suggests instead of running on their own principles, their behavior in office might not reflect their campaign trail statements. Biased, Skewed or Dirty Training Data Data is only effective if it’s thoroughly vetted for cleanliness, relevancy, and accuracy. Since elections take time, candidates may rush to collect up-to-date information for real-time insights. In other words, they might unintentionally create a biased or inaccurate model. At best, their faulty algorithm gives them bad ideas that lower their approval rating. At worst, it suggests something unethical or overlooks entire voting blocs, potentially causing geopolitical tension or driving support for questionable stances. Opaque and Invasive Voter Analysis Politicians will go to great lengths for information when they realize it grants a competitive edge. People should ask themselves where they draw the line — AI could track their online behavior, monitor their voting patterns, and report its findings to candidates’ campaign managers. Leveraging AI in Politics Could Go Either Way AI isn’t inherently evil or good — it’s just a tool. It can do amazing things if candidates and their campaign managers use it sparingly and transparently, considering ethical and privacy issues. Of course, the same concept applies to dishonest and excessive use. For now, only time will tell how this technology will affect how future politicians run for office. Does artificial intelligence have a place in politics? The answer may not matter. While AI-driven political campaigns might seem futuristic, they’re already here — and may permanently change how future candidates run for office. AI Is Transforming Modern Politics Now that AI has entered the picture, the current political landscape is reminiscent of the wild west. Currently, there aren’t federal rules on campaigns using AI-generated content. While the United States Federal Election Commission is contemplating rolling some out, it can’t keep pace with technological advancements. there aren’t federal rules there aren’t federal rules Voter analysis is fundamental to most modern strategies since voters’ opinions decide elections. With AI, teams can rapidly analyze massive amounts of constituent data. In other words, they fast-track their decision-making process. The Trump campaign did this for the 2016 presidential election , and Biden’s did it for the 2020 election. for the 2016 presidential election for the 2016 presidential election This technology is also transforming fundraising. Before, political candidates would air radio commercials or make TV appearances to drum up support and kickstart cash flow. With AI, they can analyze past contributions, communication preferences, and income data to see who’s most likely to donate. They can even use chatbots to engage with potential donors instantly. Candidates can even use a generative model to develop appealing personas. It can tell them how to act, what to say, and what stances to take, helping them craft the most appealing version of themselves and transforming how modern politicians approach current issues and connect with voters. Given that algorithms are reshaping voter analysis, fundraising, communications, and talking points — almost every aspect of modern strategies — political analysts’ argument that tech has affected campaigns is unsurprising. that tech has affected campaigns that tech has affected campaigns How AI Reshapes Campaign Strategies Algorithms can analyze vast amounts of unstructured data — information not stored in databases or spreadsheets — inhumanly fast. It can process thousands of social media posts, websites, text documents, photos, or videos in seconds, swiftly generating valuable insights for candidates and campaign managers. Teams can feed voter information into an AI-powered digital twin to simulate campaign strategies without risking money, time, or their public image. By adjusting variables like the states they visit or the number of their rallies, they figure out how to optimize their outreach efforts. With predictive analytics, they can forecast voter behavior without putting in the effort to simulate their campaign. They can see the likelihood certain blocs will vote for them using voting patterns, geographic data, online behavior, demographics, and survey results. They can use those insights to reshape their strategies to change people’s minds. Generative models help teams tailor messages to specific groups. Someday, they may use deepfake technology to get in touch with individual voters, hyper-personalizing their outreach efforts. AI-driven campaigns like this one would be seriously effective. Will AI-Driven Campaigns Affect Democracy? Like most things nowadays, AI has light and dark sides. While AI-driven campaigns could be transformative forces that bring the world into a new age of comprehensive outreach and lighting-fast information dissemination, they also have the power to mislead voters and propagate the spread of dangerous misinformation. Most people are more concerned with the second prospect — and want something done about it. According to one recent survey, 68% of people agree AI use should be voluntarily disclosed. Considering how subtle this technology's influence can be, the general public’s support for transparency makes sense. 68% of people agree 68% of people agree That said, not everyone believes decision-makers will willingly embrace transparency. Inevitably, many people support regulation — an opinion that bridges party lines. Four in 10 people think algorithms should be much more regulated, including 41% of democrats , 40% of independents, and 39% of republicans. including 41% of democrats including 41% of democrats Ethical and Privacy Considerations Political analysts, the general public, and even politicians have plenty of ethical and privacy concerns about AI in politics. Political Candidate’s Overreliance on AI What happens when AI-driven political campaigns become the norm? If candidates consistently do what an algorithm suggests instead of running on their own principles, their behavior in office might not reflect their campaign trail statements. Biased, Skewed or Dirty Training Data Data is only effective if it’s thoroughly vetted for cleanliness, relevancy, and accuracy. Since elections take time, candidates may rush to collect up-to-date information for real-time insights. In other words, they might unintentionally create a biased or inaccurate model. At best, their faulty algorithm gives them bad ideas that lower their approval rating. At worst, it suggests something unethical or overlooks entire voting blocs, potentially causing geopolitical tension or driving support for questionable stances. Opaque and Invasive Voter Analysis Politicians will go to great lengths for information when they realize it grants a competitive edge. People should ask themselves where they draw the line — AI could track their online behavior, monitor their voting patterns, and report its findings to candidates’ campaign managers. Leveraging AI in Politics Could Go Either Way AI isn’t inherently evil or good — it’s just a tool. It can do amazing things if candidates and their campaign managers use it sparingly and transparently, considering ethical and privacy issues. Of course, the same concept applies to dishonest and excessive use. For now, only time will tell how this technology will affect how future politicians run for office.

How AI Is Reshaping Campaign Strategies in Real Time

LONDON, UK, May 10th, 2024/Chainwire/--Kintsu, a leading innovator in the DeFi space, is thrilled to announce the launch of its highly anticipated Testnet on May 13th. This exclusive event invites a select group, including the Kintsu OGs, to pioneer a new era in liquid staking on the cutting-edge Aleph Zero blockchain. Aleph Zero is a permissionless Layer-1 blockchain that combines a Proof of Stake (PoS) consensus mechanism with a Directed Acyclic Graph (DAG) for scalability, security, and efficiency. Its advanced privacy features include zero-knowledge proofs (ZK-SNARKs) and secure multi-party computation (sMPC) within the Liminal privacy layer. About Kintsu Kintsu aims to reshape the DeFi landscape with its next-generation liquid staking platform, empowering users to stake their assets while maintaining liquidity. By leveraging Aleph Zero’s state-of-the-art security and unparalleled transaction speeds, Kintsu provides unmatched flexibility and efficiency in liquid staking. A recipient of the Aleph Zero Ecosystem Funding Program, Kintsu is recognized as a pioneer within the Aleph Zero, INK, and Substrate ecosystem. With a focus on decentralization, and security, Kintsu aims to redefine liquid staking, providing DeFi users with a efficient, scalable, liquid, and composable staking solution. Key Features of the Kintsu Testnet Exclusive Early Access: A select group, including the Kintsu OGs, will have the opportunity to participate first, offering focused feedback to enhance the platform iteratively.
Seamless Staking Process: Users can stake their tokens with ease and have them allocated among carefully selected validators for optimal security and efficiency.
Innovative Unstaking and Batching Process: Unstaking requests are collected over a 48-hour period before being batched, followed by a standard 14-day unbonding period. Participants can cancel their requests until they are batched.
Claimable Gas Rewards: Following the unbonding period, participants can claim gas rewards from the Liquid Staking Tokens (LSTs) initially escrowed.
Comprehensive Wallet Support: Participants can utilize wallets like Aleph Zero Signer, Nightly, Subwallet, Talisman, and Polkadot{.js}. Hats Finance Audit Competition: Kintsu has partnered with Hats Finance, a decentralized cybersecurity network, to conduct an audit competition on the contracts that will be deployed on the Testnet. The competition features a bounty of $40,000, incentivizing ethical hackers and security experts to identify and report vulnerabilities. This initiative ensures that Kintsu's contracts are thoroughly vetted before their mainnet launch, maintaining the highest security standards as Kintsu pioneers the future of liquid staking. Participation and Feedback: Kintsu invites its community to actively participate in the Testnet, exploring its innovative features and providing crucial feedback. This feedback will play a significant role in enhancing the platform's user experience. Connecting with the Kintsu Community Users can stay updated on the latest developments and engage with other like-minded individuals by joining the Kintsu Discord community and following on Twitter. Insights and feedback from the community are crucial in shaping the future of DeFi. Contact Director of Growth Alexios Konstantinidis Kintsu hello@kintsu.xyz This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. LONDON, UK, May 10th, 2024/Chainwire/--Kintsu, a leading innovator in the DeFi space, is thrilled to announce the launch of its highly anticipated Testnet on May 13th. This exclusive event invites a select group, including the Kintsu OGs, to pioneer a new era in liquid staking on the cutting-edge Aleph Zero blockchain. Aleph Zero is a permissionless Layer-1 blockchain that combines a Proof of Stake (PoS) consensus mechanism with a Directed Acyclic Graph (DAG) for scalability, security, and efficiency. Its advanced privacy features include zero-knowledge proofs (ZK-SNARKs) and secure multi-party computation (sMPC) within the Liminal privacy layer. About Kintsu Kintsu aims to reshape the DeFi landscape with its next-generation liquid staking platform, empowering users to stake their assets while maintaining liquidity. By leveraging Aleph Zero’s state-of-the-art security and unparalleled transaction speeds, Kintsu provides unmatched flexibility and efficiency in liquid staking. A recipient of the Aleph Zero Ecosystem Funding Program, Kintsu is recognized as a pioneer within the Aleph Zero, INK, and Substrate ecosystem. With a focus on decentralization, and security, Kintsu aims to redefine liquid staking, providing DeFi users with a efficient, scalable, liquid, and composable staking solution. Key Features of the Kintsu Testnet Exclusive Early Access: A select group, including the Kintsu OGs, will have the opportunity to participate first, offering focused feedback to enhance the platform iteratively. Seamless Staking Process: Users can stake their tokens with ease and have them allocated among carefully selected validators for optimal security and efficiency. Innovative Unstaking and Batching Process: Unstaking requests are collected over a 48-hour period before being batched, followed by a standard 14-day unbonding period. Participants can cancel their requests until they are batched. Claimable Gas Rewards: Following the unbonding period, participants can claim gas rewards from the Liquid Staking Tokens (LSTs) initially escrowed. Comprehensive Wallet Support: Participants can utilize wallets like Aleph Zero Signer, Nightly, Subwallet, Talisman, and Polkadot{.js}. Exclusive Early Access: A select group, including the Kintsu OGs, will have the opportunity to participate first, offering focused feedback to enhance the platform iteratively. Seamless Staking Process: Users can stake their tokens with ease and have them allocated among carefully selected validators for optimal security and efficiency. Innovative Unstaking and Batching Process: Unstaking requests are collected over a 48-hour period before being batched, followed by a standard 14-day unbonding period. Participants can cancel their requests until they are batched. Claimable Gas Rewards: Following the unbonding period, participants can claim gas rewards from the Liquid Staking Tokens (LSTs) initially escrowed. Comprehensive Wallet Support: Participants can utilize wallets like Aleph Zero Signer, Nightly, Subwallet, Talisman, and Polkadot{.js}. Hats Finance Audit Competition: Kintsu has partnered with Hats Finance, a decentralized cybersecurity network, to conduct an audit competition on the contracts that will be deployed on the Testnet. The competition features a bounty of $40,000, incentivizing ethical hackers and security experts to identify and report vulnerabilities. This initiative ensures that Kintsu's contracts are thoroughly vetted before their mainnet launch, maintaining the highest security standards as Kintsu pioneers the future of liquid staking. Participation and Feedback: Kintsu invites its community to actively participate in the Testnet, exploring its innovative features and providing crucial feedback. This feedback will play a significant role in enhancing the platform's user experience. Connecting with the Kintsu Community Users can stay updated on the latest developments and engage with other like-minded individuals by joining the Kintsu Discord community and following on Twitter. Insights and feedback from the community are crucial in shaping the future of DeFi. Contact Director of Growth Alexios Konstantinidis Kintsu hello@kintsu.xyz This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Experience The Future Of Liquid Staking: Kintsu Testnet Launches Exclusively On May 13th

Invisible Online: A Family Guide to Private and Secure Online Living

Chaotic Links Theory: Exploring the Intersection of Classical Cryptography and Quantum Potentiality

Ethereum Dencun Upgrade: Everything You Need to Know

Introduction There are different ways to form an investment thesis in crypto. One is to reject the importance of fundamentals and subscribe to the view that token prices are driven mainly by quick-gain-100x-seeking behavior or "financial nihilism." Is all crypto simply a meme? Should your technically sophisticated, tier-1 VC-backed, and community-vetted utility/governance "meme" coin be valued more than mine? Which narrative will be picked up by the KOLs next and pumped up by the crowd? What are we aping into? These views and strategies have merit but don't work at scale and across market cycles. Disciplined investors and researchers must carefully examine the facts and start seeing the forest for the trees. Let's stick to the first principles and dive into the concept of re-staking. Is it another backed by token emission or a new sustainable economy? As the saying goes, the proof is in the pudding; let's look for it! yield-generating bubble Cosmos Interchain Security Eigen Layer has popularised the idea of restaking (renting ETH economic security); however, it was initially proposed and implemented within the Cosmos ecosystem (renting ATOM economic security). Chains started with the Cosmos SDK provide configurability and sovereignty. However, developers' main challenge is building their own operator set (100-150 validators based on Tendermint consensus), bootstrapping liquidity, and using a native token, which has the risk of inflation and security value loss. enables other Chains (Consumer Chains) to be secured by the Cosmos Hub's validator set and the ATOM token's total market cap. In other words, it allows Consumer Chains to rent the economic security from Cosmos Hub. Cosmos Interchain security With 248MM ATOM staked, Cosmos Hub provides 3.2Bn$ in Economic Security to Consumer Chains. This first version of CIS is called “Replicated Security.” We Can Identify the Within the CIS Model: Following Stakeholders Validators – Run Cosmos Hub nodes and additional nodes for Consumer Chains Stakers – Delegate Atom tokens to Validators Consumer Chains – Rent Security from Cosmos Hub In Q3 2023, Chorus One the actual economic data from the two Consumer Chains on Cosmos – Stride and Neutron and made the following findings: reviewed Cosmos Hub Rewards: Cosmos Hub minted 367M$ per year or 1M$ daily in ATOM tokens as rewards for Stakers. Out of which 37M$ per year went to Hub Validators. Revenue: Cosmos Hub generated 1.5k$ per day in revenue from transaction fees. Stride generated 1k$ per day, and Neutron 12$ per day for Cosmos Hub. Combined daily transaction fees (2.5k$) would need to be 400 times higher to offset daily ATOM token emission (1M$) Infrastructure Costs (Excluding DevOps Costs) It's important to note that Validators need to set up additional nodes to support Consumer Chains, i.e., the hardware cost scales linearly with the addition of new Consumer Chains: The monthly node cost per Cosmos chain or ICS is 600$ per month or 7.2k$ per year. Cosmos Hub Security infra cost – 180 validators x 7.2k$ = 1.3M$ per year. Single Consumer Chain infra cost is the same – 1.3M$ per year. With Stride generating 365k$ per year and 36.5k$ in commission going to validators, such revenue doesn't come close to offsetting the infra costs for validators (1.3M$ per year). 40% of Cosmos Hub validators are not profitable, and this percentage increases as more Consumer Chains are onboarded. The consumer Chain would need substantially more revenue to provide an to Atom stakers. For example, to generate an extra 2% APR on staked ATOM, ICS would need to distribute $65MM per year to the Cosmos Hub. additional yield Finally, the ICS model removes the utility from the Consumer Chain native token, as it can only be used as a governance token and cannot be used for staking or network operations. , while the original idea of Cosmos Interchain Security offered easier onboarding of new chains, it came with a trade-off of increased infrastructure costs, lack of utility for the Consumer Chain native tokens, slashing risk for Validators, and high cost of economic security and therefore high revenue requirements for Consumer Chains. In summary As a result, Cosmos Hub governance is unlikely to approve more projects to join CIS unless they are set to deliver meaningful revenue to Hub validators and stakers. Moreover, the Replicated Security model is being revised, and it’s proposed to use a more flexible version called “ ,” whereby Validators can decide whether to run the nodes for Consumer Chains and Consumer chains would use only the Economic Security of supporting validators. Partial Set Security Eigen Layer Like CIS, allows Ethereum node operators to opt in to validate the new software modules. Eigen Layer calls these "chains" – Actively Validated Services. Eigen Layer The key difference with the CIS model is that the operators' cost of AVS support is marginal compared to running the ETH node; adding the AVS node to the existing ETH node doesn’t increase server load. Therefore, AVSs only need to generate enough fees to provide additional yield on top of native ETH staking yield. There Are the Within the Eigen Layer Model: Following Stakeholders Operators – Run Ethereum Nodes and additional AVS modules Restakers – Delegate Eth to Operators, which in turn opt into AVSs AVSs – Rent Security from Ethereum Infrastructure Costs (Excluding DevOps Costs): It costs approximately 1k USD per year to run 1 x ETH node (32 ETH), and more ETH validator slots can be added without significantly increasing the server load. The additional cost of supporting AVS is marginal (close to zero) Eigen Layer Economic Security As seen in the CIS model, Consumer Chains need to rent the entire $3.2Bn$ of economic security from Cosmos Hub and are constrained by the number of Cosmos Hub Validators. Eigen Layer implements "elastic scaling of security" and allows AVSs to dynamically control payouts to ETH stakers. 25000 AVS nodes can provide the equivalent of Cosmos Hub 3.2bn$ economic security. Similar to CIS, it would cost 64MM$ annually for AVS to generate an extra 2% APR on staked ETH. However, the key difference is that AVS can start with a smaller operator set and run more sustainable economics. Therefore, while the Eigen Layer brings additional infra costs almost to zero, it introduces the complexity of dynamic operator set and operator payout management. Watchtower networks will play an instrumental role in this process. Other Have Been Currently Worked Out: Open Questions and Challenges AVS Selection Process Who will choose AVSs? Will it be Operators or users of restaking protocols through governance voting? Or both? Operators are motivated to implement internal risk control frameworks to choose more profitable AVSs and manage slashing risks. Restaking protocols aim to conduct similar due diligence on behalf of their users. How will these two groups match AVS strategies and dynamically support the on and off-boarding of AVSs in an automated way? Are there any potential compliance issues with Stakers or Operators supporting AVSs in certain jurisdictions? These are not trivial questions! Potential Operator Centralization As the incremental cost to support new AVSs for operators is marginal – it would be more profitable for operators to support all available AVSs (as long as slashing risk is adequate), leading to centralization. Similarly, if users choose to restake only with the major operators, it will also lead to centralization. Eigen Layer is developing incentives to promote diverse operator sets and solo staking for AVSs to resolve this. Slashing risk Stakers opt-in by granting the Eigen Layer smart contracts the ability to impose additional slashing conditions on their staked ETH. The core idea of the Eigen Layer is to use "pooled security," whereby the same staked ETH is used to support multiple AVSs simultaneously. However, if one of the AVSs has a bug that leads to slashing, it can affect the operations of other AVSs. Eigen Layer addresses this risk by ensuring the system has " "  and a veto committee can reverse the slashing resulting from non-malicious behaviors. training wheels In addition, AVSs can acquire "attributable security," which, unlike pooled security, is specific to each AVS and will only be slashable by one AVS. Business Model Eigen Layer provides more flexibility for AVSs when defining the utility of their native token. In a mode, AVSs can use the native token for staking and network operations and balance its use vs. ETH throughout the project's lifetime. dual staking Conclusion In summary, the comparison between Cosmos Interchain Security (CIS) and Eigen Layer highlights the evolution of economic security concepts within blockchain ecosystems. While CIS pioneered the concept, it revealed drawbacks such as increased infrastructure costs, a lack of utility for native tokens, and high revenue requirements for Consumer Chains. Eigen Layer represents a substantial improvement by introducing elastic security scaling and dual staking. However, this enhanced flexibility comes with added complexity in managing slashing, security scaling, and operator payouts. It's truly fascinating to observe the ongoing evolution of this space as the latest restaking ideas from Eigen Layer permeate into other ecosystems such as Bitcoin ( ), Cosmos ( ), Solana ( ), and . Babylon Ethos Composable Avalanche Thank you to for your valuable feedback and review. Kam Benbrik

Restaking Explored: The Pursuit of a Sustainable Crypto-Economic Model

Bias Leads to Intelligence Artificial Released from the corners of the boardroom for decision support, AI has now become a team player in the modern digital enterprise. And for the right reasons - according to a McKinsey survey, 66% of AI adopters report an increase in their revenues. Beyond money matters, AI can elevate the customer experience through various use cases. However, if done irresponsibly, AI wonders can quickly turn into AI disasters - and history is our accomplice in this observation. From introducing gender bias in hiring algorithms and racial bias in facial recognition algorithms to charging higher interest rates for underprivileged communities in loan decisioning use cases, AI disasters are commonplace and cost businesses more than just a few hundred million dollars, according to Harvard Business Review. Beyond the need for mitigating AI's downside impact on a business, building fair and responsible AI algorithms is as much a socio-ethical imperative for businesses that intend to stay in business. Take a look at how bias creeps into AI models and a framework to address bias in your enterprise AI strategy. Tracing Sources of Bias in Your AI Strategy Most enterprises have moved towards a standard framework for building business-driven use cases of AI. However, within the larger AIOps cycle, bias can creep into a model from any of the five stages that lead to the development of an AI model. Here are some of these sources: : AI models often make use of - consider a dataset of loan decisions, hiring decisions, or a list of buyers from a shopping mall. Bias within datasets datasets that carry the footprints of human bias within them Such datasets can inject bias into a model if their predictors are labeled erroneously, if certain types of communities are under-represented, or if the data sampling strategy was itself biased, to begin with. : AI models are built through extensive processes, which include feature selection, model tuning, and dataset splitting. Sometimes, excluding some features or conducting train-test splits without adequate oversight can inject data into the model. For instance, training a model with data from the earlier quarter of the year for a variable that follows an annual trend can lead to a biased model. Bias in model development : Some algorithms are prone to overfitting, while others are to underfitting. Again, understanding the model's needs from its real-world application can help data scientists identify the right level of complexity that minimizes the total error. Injecting bias during validation Moreover, preventing leakage between test and training data can be another source of bias during the model testing and validation phase. : NLP-powered bots that generate engagement and interaction within communities can pick biases from the humans they interact with. These algorithms can amplify the racial and gender biases that are to be found in the human voices on the platform. Acquiring interaction bias : Some models are biased in the very purpose they are built for. Consider the example of Google News, which returns similar stories when a user runs a search. Such programs can land the user in an information bubble built by the intent and parameters of their search query. Bias in purpose Recognizing the source of biases is the first step to building fair and bias-free AI models - followed by which enterprises should consider the following framework for mitigating bias from their AI strategy. A Roadmap to Achieving Fairness in AI Today, technical communities are making considerable efforts to mitigate bias in AI models. But three key levers are crucial to pay attention to. These include: Promoting responsible algorithm development, Doing standard checks during data collection and modeling, and Working with your CSR teams for responsible AI development. Look at these in detail, and consider checking out the hyperlinked resources for getting started. Promoting Responsible Algorithm Development The algorithm development process is prone to absorbing biased influences at multiple points. Here is a checklist for promoting enterprise-wide responsible algorithm development: Brainstorm the purpose of an algorithm, and optimize the point of equity-efficiency tradeoff collectively. Document the development process ( which teams are developing the model, potential risks of bias in the model, and privacy implications of the data used. here is a way to do that ), Hold meetings with developers to identify if an algorithm needs human oversight to mitigate risks of bias. Engage communities served by the system/algorithm, explain the model to them, and ask for their suggestions to improve model fairness. Conduct multiple audits on a developed model and provide the auditors with complete documentation. Lastly, promote explainability and run black-box auditing where design decisions and data models have been internalized into the algorithm. The above steps can help bring the risk zones into sight and mitigate bias-associated risks during algorithm development early on. Data Collection and Modeling: Standard Checks Data is the most significant source of bias in AI model building. Therefore, focus on data collection and modeling processes for eliminating bias, mitigating risk, and maximizing the business value of an AI model from the get-go. Consider the following steps for curating bias-free datasets across the enterprise: Run diversity and inclusivity tests on labels that describe datasets based on . comprehensive DEI lexicons like this one Document the sources of data and build checklists to identify possibilities of under or over-representation of a community. Define the standards for using third-party datasets by and implement guardrails to help developers follow these standards. leveraging data risk checkers Circulate comprehensive guidelines around what features are appropriate to be analyzed and before being used by a model in production. define privacy checks that a dataset should comply with Lastly, principles and processes to ensure responsible use of data should be internalized within the organization's data strategy. This can be achieved by enforcing technological guardrails that cannot be overridden by your users, and . using data from a variety of vetted sources Activate CSR for Responsible AI Development CSR teams often help an organization move the needle of equity across the larger fabric of society. Therefore, CSR teams can play a key role in advancing an organization’s responsible AI roadmap. Here is how to achieve this alignment: Shift CSR efforts towards the discourse of responsible AI and fund opportunities to develop novel ways of mitigating AI risks. Run CSR-driven programs to mitigate biases introduced by internal teams in building AI models. Market your efforts to the larger community. Lastly, create a symbiosis between CSR efforts and internal teams to align the organization's DEI vision to its efforts and generate employee engagement to foster holistic DEI thinking. Final Words The idea of bias and fairness is incomplete and therefore, evolving. Before embarking on the journey towards fair AI development, enterprises must acknowledge that their conceptions of fairness (and consequently bias) will be incomplete, too. But that is not a reason to sideline the question altogether. The promises of AI are abundant for businesses - that is, only if the technology is used in a responsible and socially and ethically conscious manner. By following the framework outlined above and leveraging responsible AI tools from hyper-scale technology providers, enterprises will be well-positioned to achieve holistically desirable outputs from their AI strategy.

A 3-Pronged Framework for Achieving Fair, Ethical, and Bias-Free Results From Your AI Strategy

I heard about AI-generated art for the first time in a Wall Street Journal podcast in 2021. In the podcast, the host was playing AI-generated pieces of classical music. These pieces emulated the style of classical composers, and the precision with which they did that was rather impressive. A listener uninitiated to classical music would probably have a hard time differentiating them from the actual works of those composers. This was also the first time I took seriously. Listening to those pieces made me wonder – what if AI gets so good at making music that those renowned composers eventually get buried under piles of AI-generated classical music? I have always believed in judging a work of art for what it is instead of finding its aesthetic validity in the legacy of a musician or how critics received a piece of music. If AI-generated music is going to get better, I will most likely say, Sorry, Chopin. generative AI (GenAI) Last week, a colleague showed me OpenAI Sora, a text-to-video model that generates remarkably detailed, realistic videos from text prompts. The first video they showcased on the website featured a woman (with five fingers, not four) walking through the streets of Tokyo. The texture of her skin, the blemishes and spots on her face, the wrinkles, and her hair – everything about this woman in focus is more realistic than (or at least, as much as) subjects in those videos that were once ‘really shot’ by professional videographers. Are we entering the era of the hyperreal? In his book Simulacra and Simulation, Jean Baudrillard first defined the concept of hyperreal as the blurring of the lines that separate reality from representation. This blurring is caused by the creation of representations (signs) that do not refer to anything that exists in reality. Hyperreality results in our inability to distinguish what is simulated from what is real. In his text, Baudrillard was alluding to the process by which value gets created in consumerist paradigms. But with GenAI, his idea is being stretched to its literal limits. On the OpenAI Sora page are over 30 video clips, each containing chunks of time that never happened, all in great detail, ready for us to witness with our eyes. What do we see when we see ‘historical footage of California during the gold rush’ generated by Sora? In truth, there is nothing historical about this footage, and neither is it footage in the true sense. The historical effect is rendered by employing visual aesthetics that elicit a sense of historicity in films and documentaries – warm tones, vintage overlay, grainy effects, and a lower frame rate. Yet, the prompt results in a very believable "footage." I am no historian, so I cannot say if the clip gets historical details right in how it renders the look of the buildings and the attire of the people on horses. But the geographical features look rather compelling. But this is not the crux of the issue here. Such visual effects have been achieved by studios using CGI for decades now. But these endeavors were applied to a specific end and within particular contexts – like creating a realistic game, a movie sequence, or making a documentary more tangible, if you will. The content was vetted by experts who could verify its correctness and authenticity. But now that this technology (text-to-video models) will democratize access to such capabilities, the consequences will be very different. Content will be affected by this democratization of GenAI long before it starts weaving symphonies that draw tears from our eyes or write Nobel-winning novels. A new distinction between content and art Content and art have coexisted ever since the advent of media – writing and painting, followed by print and photography, then audio and video. Content was usually short-lived and created for a specific function, such as entertaining, delivering news, capturing memories, recording events, or even selling things. Art served a purpose in the human being’s socio-cultural experience, and artworks survived well beyond their time. However, both content and art had to be created before GenAI entered the picture. higher Until now, art – or at least, what is deemed art in ‘high culture’ has remained largely untouched by GenAI capabilities. While GenAI may be able to emulate Mozart’s musical style, the aesthetic and cultural value of that style was rooted in the time and context in which Mozart was creating music. The same goes for literary works, which, in effect, created a paradigm shift in the ways of thinking about the world, human beings, society, and the small and big questions underpinning our existence during a period in history. The story of the content is somewhat different. Until some point in the 2000s, content creation required specialized apparatus – sophisticated video cameras or DSLRs and teams of people were needed to create audio-visual content, for example. But with social media and the proliferation of smartphones, content creation took a new turn. Everyone was now a creator, snipping pictures (or videos) of their dogs and cats doing funny stuff, creating video memes, or making comic faces with Instagram filters. Compilations of these snippets of human existence made their way to YouTube in droves, and content flooded depthless Instagram, Facebook, and TikTok feeds. Yet, few pieces of content warranted the need to question the reality of the subject of these videos. With the democratization of GenAI, we will find ourselves asking this question more often. In fact, while scrolling through the comments section of the Apple Airpods Pro 2 launch live stream in 2023, I found a user wondering whether the woman on screen, who was presenting the features of the new Airpods, was a real person. However, the industry is attempting to solve this problem with standards like the C2PA, which will embed details like the creator and mode of creation within media files. This will make it possible to differentiate AI-generated content from ‘real’ content. Nonetheless, AI-generated content will coexist with the content that is created by people. This will add another level of distinction between content and art – which is that art be created, but content be generated. must can The ability to generate content will undoubtedly have far-reaching economic consequences and leave a profound impact on many professions. But it will also alter our relationship with content and how it informs our worldview. The desert of the real? What if generated content is more compelling, more convincing, more entertaining, and more appealing to the viewer? Given how most societies today are inclined to promote value-creating systems, generated content will likely overtake content created by people in such a scenario – which means that content platforms will be saturated with AI-generated content that will show places that never existed, people who never walked on the planet, events that never occurred, or cute dog stuff that no real dog ever did. This is quite likely to happen – AI thought leader Nina Schick says 90% of online content could be AI-generated. But the proliferation of AI-generated content could go two ways. According to neuroscientists, knowing an artwork as authentic activates reward pathways in the brain of viewers. Forged or fake art, on the other hand, does not lead to the same effect. If this result is extrapolated to AI-generated content, one would be led to conclude that AI-generated content will not be as fulfilling as that which is created by real people recording real things – given that content platforms enforce rules that enable viewers to identify AI-generated content. Will AI-generated dog videos be as effective in reducing our stress levels as the of real dogs doing real things? If not, then the adoption of text-to-video models will be limited to certain areas, like making clips for purchasable stock video collections. Or generating elements of videos, like backgrounds or animated overlays. footage In this scenario, we will see the return of content that is created rather than generated – and social media platforms would be the first sites where this shift will unfold. But there is another factor that must be taken into account here. Research on Instagram usage patterns has shown that upward comparison (comparing oneself to those who people perceive as superior to them) through content consumption has detrimental effects on users' mental health. If AI-generated content breaks through the barriers of creative possibilities, it will present a version of the world that is to its real counterpart. If this happens, will AI-generated content immerse us in a hyperreal world, framing our existing one into a dull and dry reality? superior Probably not – at least not right away. Current text-to-video models still have limitations. For instance, the wolf pups in Sora-generated clips sometimes emerge out of nothing, and bodies sometimes magically pass through other bodies. In another clip, a plastic chair sometimes behaves like a sheet of paper and changes shape through the clip. OpenAI claims that giving the model foresight into multiple frames enables them to retain the visual identity of a subject even when it goes out of view for a few moments. But this doesn't make the model infallible, as is evident in the videos on OpenAI’s Sora page. Moreover, the generated clips are still only 60 seconds long, and it will probably be a while before we see full-length feature films and documentaries generated by such models. However, these limitations will likely be eliminated in upcoming generations of multimodal models – and soon enough, considering that the technology has been in development for a little over half a decade. When that time comes, the experience of consuming content or simply navigating through cyberspace will take a new turn. For the better or worse? Only time will tell. Looking towards a brighter future Generation and creation remain very distinct ideas, even in the era of GenAI. This distinction is rooted in the etymology of these words – create comes from the Latin , which means to form out of nothing. On the other hand, generate comes from the Latin (meaning to produce), which in turn comes from (meaning a type or a family). In both mathematics and linguistics, generation pertains to a process of applying a set of rules to an input to produce something. This is precisely what Generative Pre-Trained Transformers (GPTs) do. creare generō genus As far-fetched as the meaning of creation may seem in the era of content, GenAI is compelling us to exercise our higher cognitive abilities as it abstracts the heavy lifting of content generation from the creators. Creation, at its heart, remains a process of making something out of nothing. It is this idea of creation that has ushered era-defining epochs in the course of our cultural, social, and technological history. generated With GenAI solutions undertaking the less cognitive aspects of content creation, each of us will be empowered to create more sophisticated things, just better and faster. But where this paradigm of GenAI-augmented creation takes us will be determined collectively by content-powered platforms, regulators, content provenance standards and their endorsement, and our inevitable neurological responses to new forms of content.

Democratization of Text-to-video Models Will Launch Us Into a Hyperreal Cyberspace. Are We Ready?

Binance Labs, the venture capital arm of major cryptocurrency exchange Binance, has invested in Renzo Protocol - a key player looking to make liquid restaking accessible to all on the EigenLayer blockchain. The investment is a major vote of confidence that will help Renzo in its mission to promote widespread adoption of liquid restaking and set the standard for risk management in the growing sector. What is Renzo Protocol? Renzo Protocol is a liquid restaking token (LRT) and strategy manager built specifically for the EigenLayer blockchain. It consists of smart contracts that facilitate trustless collaboration between stakers, node operators, and actively validated services (AVS) on EigenLayer. Through Renzo, users can easily restake their assets like ETH or staked ETH (stETH) and delegate them to vetted node operators. All the while earning yields and interacting with on-chain services without needing to deal with the technical complexities. The protocol abstracts away these complexities, enabling easy participation in EigenLayer's security and incentives. It serves as a central interface for the entire EigenLayer ecosystem. Simplifying Liquid Restaking Liquid restaking allows users to earn staking rewards from their assets like ETH while maintaining liquidity. However, directly participating can be difficult due to the technical hurdles of running a validator node or delegating in a trustless manner. Renzo simplifies this process. Users simply deposit ETH or staked tokens like stETH into Renzo and receive the liquid restaking token ezETH in return. ezETH represents their restaked position and encapsulates all yields within a single token. This liquidity and simplicity opens up participation to a much wider audience beyond just the most technically proficient. It lowers the barriers to earning staking rewards on EigenLayer through Renzo's user-friendly interface. Risk Management and Security In addition to accessibility, Renzo prioritizes risk management and security. It partners only with institutional-grade node operators that meet strict criteria around uptime, redundancy, and security best practices. The protocol also collaborates closely with security researchers to implement the latest standards. Its founders have years of experience building and scaling secure DeFi protocols. Through prudent partner selection and ongoing diligence, Renzo aims to offer liquid restaking with confidence that user funds are being handled responsibly by qualified operators. This differentiated approach to risk management is a big part of its value proposition. Enabling Cross-Chain Bridging To further expand liquid restaking opportunities, Renzo is working with bridging partners to enable the direct deposit of assets from other Layer 1 and Layer 2 blockchains onto EigenLayer. This will allow users holding assets on networks like Ethereum, Polygon, Avalanche, and more to seamlessly bridge them into Renzo for liquid restaking - all without leaving their preferred starting chain. The integration of cross-chain capabilities promises to significantly grow the total value available for liquid restaking under Renzo's risk-managed framework. It represents a major step toward realizing the protocol's vision of accessibility. Binance Labs' Validation Securing investment from Binance Labs is a huge vote of confidence that will help propel Renzo forward in its goals. As the venture arm of the world's largest crypto exchange, Binance Labs has a strong track record of identifying promising early-stage projects. Its portfolio has generated over 14x returns on investment to date. The funding will support Renzo's ongoing development and expansion of its liquid restaking platform and services. It also brings valuable connections to Binance's extensive ecosystem. Lucas Kozinski, Founding Contributor of Renzo, expressed gratitude for Binance Labs' support in helping bring thought leadership and best practices from DeFi to restaking on EigenLayer. The investment marks a major milestone as Renzo works to establish the protocol as the premier liquid restaking hub. Final Thoughts With its user-friendly interface and focus on risk management, Renzo Protocol aims to make liquid restaking accessible to the mainstream. Through continued product innovation and the integration of cross-chain capabilities, it intends to drive widespread adoption of EigenLayer's security and incentives. Securing investment from Binance Labs is a strong validation of Renzo's vision and potential to establish itself as the standard in its sector. With the support of a heavyweight backer, Renzo is well-positioned to deliver on its mission and realize its goal of promoting shared security for all through liquid restaking. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Renzo Secures Major Investment to Drive Adoption of Liquid Restaking on EigenLayer

EigenLayer এ লিকুইড রিস্ট্যাকিং গ্রহণ করার জন্য রেনজো বড় বিনিয়োগ সুরক্ষিত করে

Renzo sichert sich große Investition, um die Einführung von Liquid Restating auf EigenLayer voranzutreiben

Renzo asegura una importante inversión para impulsar la adopción de la recuperación de líquidos en EigenLayer

Renzo obtient un investissement majeur pour favoriser l'adoption du réapprovisionnement liquide sur EigenLayer

रेन्ज़ो ने ईजेनलेयर पर लिक्विड रीस्टैकिंग को अपनाने के लिए प्रमुख निवेश हासिल किया

Renzo、EigenLayer での液体再ステーキングの採用を促進するための大規模な投資を確保

Renzo, EigenLayer에서 Liquid Restake 채택을 촉진하기 위해 대규모 투자 확보

Renzo garante grande investimento para impulsionar a adoção de reposição de liquidez no EigenLayer

Ренцо обеспечивает крупные инвестиции для стимулирования внедрения ретейкинга жидкости на EigenLayer

Renzo, EigenLayer'da Likit Yeniden Alımının Benimsenmesini Artırmak İçin Büyük Bir Yatırım Sağladı

Renzo đảm bảo khoản đầu tư lớn để thúc đẩy việc áp dụng tính năng đặt lại chất lỏng trên EigenLayer

Renzo 获得重大投资以推动 EigenLayer 上流动性重新抵押的采用

The evolution of artificial intelligence can be divided into 2 phases: before GenAI and after GenAI. There is no denying that is the technology that has influenced various industries with practical and impactful applications. So, now, consider generative AI implementation a key strategy for gaining a competitive edge in the market. GenAI of global enterprise CEOs three-quarters In this article, I will explore practical and how enterprises can leverage this technology for business improvement. GenAI use cases Generative AI: definition, limitations, and benefits Generative AI is a branch of artificial intelligence that utilizes unsupervised and semi-supervised machine learning to It relies on neural networks, including Generative Adversarial Networks, Variational Autoencoders, and transformer architectures to perform specific tasks. It also includes LLMs in the transformer architecture to interpret human language inputs to generate fresh content. To describe generative AI's as promising would be an understatement. produce new content from existing data. potential for enterprise adoption The global GenAI market is projected to grow at a CAGR of 27.02%, reaching by 2032. billion $118.06 Statista predicts AI adoption by 2025. 46% Gartner expects of large organizations' outbound marketing messages to involve generative AI by 2025. 30% However, enterprise-level adoption faces such challenges as: AI implementations present serious data security threats, particularly when dealing with data under non-disclosure agreements shared with GenAI providers in enterprises. Security concerns. To fine-tune a selected Large Language Model (LLM), organizations must gather sufficient data. However, only 13% of companies have a practical data strategy in place. Data collection hurdles. Collected data often proves incomplete, low-quality, or irrelevant to ongoing business objectives, hindering the successful implementation of Generative AI in enterprises. Data quality issues. Resource-intensive generative AI models demand significant computing power and GPU enablement, which can be financially taxing for some enterprises. GPU infrastructure costs. Implementing AI requires input from qualified ML engineers and Solution Architects who can integrate the technology into the company’s information architecture and tailor it to specific business needs. Shortage of qualified ML engineers. However, as more enterprise leaders implement generative AI and the technology keeps evolving to meet growing business requirements, the benefits of adoption outweigh its pitfalls. This demonstrates how actively global CEOs are adopting AI right now. IBM survey 5 generative AI Use Cases for Enterprises As of 2023, of generative AI use cases are found in technology, and consulting. the majority marketing and advertising, Streamlining document management usually face challenges in their transformation plans due to inadequate data management strategies. It is often attributed to the extensive enterprise data stored in outdated systems and formats, complicating retrieval, management, and alignment with business objectives. 9 out of 10 large-scale businesses By combining Generative AI with computer vision, organizations can efficiently process and analyze various types of historical data, uncovering crucial dependencies. This streamlined approach enhances the way enterprise employees interact with data, resulting in quicker issue resolution and improved business integrity. Stimulating data-driven demand forecasting Generative AI significantly impacts global logistics and supply chains by utilizing LLMs to analyze historical data, predict future demand, address loading challenges, and optimize stock replenishment processes. With Generative AI models continuously learning from dynamic datasets, companies in various industries, from retail to manufacturing, can leverage them for identifying upcoming market trends, and analyzing consumer behavior to enhance business performance and ensure customer satisfaction. accurate demand forecasts, Enhancing workplace productivity Leveraging generative AI can enhance operational efficiency and scale up employee productivity for companies. LLMs, learning from distinct business knowledge, enable for employees handling corporate and customer information. These tools prove valuable for account executives and those managing tasks like processing invoices, tax reports, insurance quotes, and other industry-specific data. intelligent assistance Facilitating strategic planning As generative AI capabilities advance, adopting the GenAI platform assists enterprises with decision-making, problem-solving, and strategic planning, ensuring comprehensive business enablement and letting market leaders build and maintain their competitive advantage. Providing risk prediction GenAI's adaptability in analyzing extensive datasets finds versatile applications in For instance, it made an impact by aiding financial professionals, optimizing healthcare strategies, enhancing cybersecurity, facilitating disaster preparedness, minimizing manufacturing downtime, managing energy grid stability, and improving road safety. risk management. How to get started with generative AI? The core of implementing generative AI at an enterprise scale involves a practical and strategic approach to its deployment and integration into the existing digital ecosystem. Here are the key steps to kickstart the generative AI journey: Define objectives and form the product vision. Collect enterprise data needed to achieve these objectives. Enable secure cloud storage and data management. Evaluate service providers and choose an appropriate generative AI model. Adapt and fine-tune the model according to the objectives. Test and deploy the model in production. Measure the results using industry benchmarks. Every successful generative AI use case begins with a comprehensive and technically grounded that includes these steps. Therefore, executives and decision-makers who are only getting started with exploring GenAI adoption are recommended to cooperate with trusted digital partners who have vetted AI architects and experienced teams in their talent pool. implementation roadmap Also published . here

Generative AI: 5 Use Cases for Forward-Thinking Businesses

The semiconductor industry, despite its innovative core, is traditionally known for its conservative approach, particularly in adopting new manufacturing processes and technologies. This cautiousness stems from the high stakes involved: even minor errors in chip production can lead to significant financial losses and delays in product launches. However, now this sector is undergoing a pivotal transformation. My recent conversation with Lynceus's co-founder, David Meyer, revealed the startup’s innovative strategy: leveraging AI not as a tool, but as a transformative force to optimize processes and amplify output in chip production. How did you come up with the idea of applying AI to semiconductor manufacturing? What was the initial goal and idea behind Lynceus? My co-founder, Guglielmo Montone, spent 15 years as an AI researcher where he was looking at different techniques that enable the training of AI models on very dynamic and unstable data—that is, something that you find a lot in manufacturing. We started the company by applying this to semiconductor manufacturing with the idea to automate all processes from the beginning to the end. This means that you're going to have an algorithm to continuously calculate the optimal parameters to put in the machine in order to obtain the best quality. But initially, this was very hard to sell because you're telling manufacturers that you have a black box to run their machines. We understood that if you're going to change the parameters of a machine, you need to be able to anticipate the specific impact on the quality of the output. And so there is a quality prediction element in the core of our technology. How do you sell your product to manufacturers now? What results can you guarantee? We are showing the specific tangible impact that your tool can have if implemented. And at the same time, you have to show them how this is going to scale because if we're just going to deploy one model somewhere, it's not very interesting. What we're doing is establishing a new way of managing the performance and the productivity of this type of factories, which is based on simultaneous optimization. This includes products’ quality, volume and costs - the three main KPIs of manufacturing. Traditionally, manufacturers can only optimize one of those at a time. Our models also generate data that gives real-time visibility on what is happening inside the machine. Manufacturers don’t have it today, and it can feed a number of other systems in the factory. Maintenance scheduling or automation systems can both benefit from more granular and real-time data on how a process behaves. This sounds like it can also be used outside the semiconductor industry. Do you have plans to scale your business in another direction? Absolutely. Initially, we started Lynceus to optimize the production of vaccines, where you have to grow cells in a bioreactors, and you don't know how many cells you're growing. If there’s not enough, you have to throw everything away, so we have built an algorithm to predict if the cell culture is going to be successful or not. It worked quite well, but then the traction picked up on the semiconductor side of things. Another market could be all the industries similar to semiconductor manufacturing but less sophisticated. LEDs, building the screens for the iPad, TVs, etc. Solar panels could also be a good one. There's also battery manufacturing, where we would like to expand on in the future, but we haven’t investigated it so far. 30% to 35% of what they produce is not good enough, and there's a lot of complex chemical reactions to make sure that their metal has the right properties, which can be optimized with data. How does your experience in managing transportation companies like Uber and then Circ help you grow Lynceus? Even though I do not come from semiconductor manufacturing, I have experience scaling operations. I know how to go from zero to one, start a project, make people work, structure, set objectives, and make sure that we hit them. And I think not coming from semiconductor manufacturing is actually something that helped me in this venture because it's a closed and conservative world, and I wanted to disrupt it. When we started, everyone told us that what we wanted to do was impossible. And so if we listened to people who've been in the industry for 20 years, we wouldn't even have tried and started what we did. I think arriving with another perspective and just continuously trying, helped us to get to where we are. What are some significant milestones you've achieved so far? I think the main achievement we have is that we deployed the first AI model in production in our customer’s fabs, and broke into the semiconductor industry, which is notoriously conservative, in three years. I think the challenge here is just the sheer kind of ramp-up that you need to have in order to be credible in any discussion with PhDs who work on the same machine for 20 years. You have raised $10M for Lynceus. What would you define as your major drivers to success? Was it hard to talk to investors given that you're working in a complex industry? Yeah, it is hard to find the right investors. We work with big semiconductor manufacturers, so we end up having discussions with a lot of investors. But not many of them eventually have an appetite for this type of product. When we started raising, it was the beginning of COVID. We talked to around 85 investors and ended up with three offers. The first thing for us is to make them understand what we do in a good level of detail. Investors see companies every day so they tend to have these kinds of boxes like this predictive maintenance or this is AI for manufacturing - to see whether we fit there or not. But we need to get deeper and explain exactly what we do and the ROI of our solution. What's the difference in the fundraising process right now given the AI hype? COVID was hard, especially because it was the first time I was doing a fundraising myself. So it was much harder to build any kind of connection with investors at this time. And I think it's an important part of the journey. We have investors who liked us and ended up working with us. The appetite for risk is now lower than before. Now it's all about these questions: How much revenue do you make, are you profitable, can you guarantee that the market is huge and there's not going to be any legal risk and competition? You need to understand which firms are interested and make sure that you screen the time to  spend with each of them. You mentioned the competition. What does the landscape look like in the AI industry for semiconductors? The good thing about manufacturing is that you have an infinite amount of use cases once you contract a big factory. We're starting to see some competitors emerging, but those startups are all spin-offs from big players existing in the industry. So you might see a company in which all of the execs come from a major chip manufacturing company, and this company invested in their series A. Or there’s another one that is half acquired by a major manufacturer of machines for those factories. I think being independent is our great advantage. How do you see the current landscape of AI in the manufacturing sector evolving, and what trends do you find the most impactful? As we started having discussions with 15-20 major semiconductor manufacturers, the first takeaway is that everyone takes our business seriously. We haven’t seen a single major company that has never tried to implement AI in some form so far. We are also reaching maturity in terms of the data infrastructure that would support the deployment of this kind of solution. This required a lot of investment over a long period of time. There’s finally something that produces payback for this investment now. The third one is that we're seeing companies trying to do this themselves and then coming back from this decision because they don't want to do it on their own anymore. That's how we gained one of our first customers. This solution can be applied across different factories, machines, and teams in the same factory that needs to be implemented and maintained in very close collaboration with IT and their quality team, because every new tool or new production process you introduce needs to be vetted there. To execute this, you need to have a transparent and efficient communication and sharing of information between those teams who work a little bit in silos. Companies that try to do this on their own often have difficulty breaking those silos, but we can provide a solution for that. What do you think are the most useful qualities for an entrepreneur in this space? What personal skills do you believe helped you to grow that fast and to that scale? The first one is to be stubborn and tenacious. We are talking about people who have a day job, where they need to run a factory with 3,000 people. So if they get on a call about something they're going to be skeptical of, you have to keep trying and also be open to understand what works and what doesn’t and adjust your message based on that. Another one is having an ability to structure things quickly, even though you're working in a very unstructured environment. So maybe you just developed one part of your product and you don't exactly know how it works, but you need to be able to go in front of a customer and present a structured deployment process and say how it’s going to work and what the process is. The last one is most relevant to working at Lynceus. Whether in consulting, or at Uber and Circ, I worked with like-minded people - very operational with the “let's go and tackle the project” approach. Here, working at Lynceus, I need a different set of skills. My co-founder is an AI researcher who's worked in a lab his whole life on a different type of scale and timelines and everything. And so it's crucial to be able to open up and listen to people and accept other ways of working, but at the same time be conscious of the strengths and the skills that come from your experience. It's keeping the best of what you learned while being able to adapt it and make sure it fits with the other types of skills that you need.

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