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LONDON, UK, December 19th, 2024/Chainwire/--As cryptocurrency adoption expands, so do the associated risks, including physical threats targeting crypto holders. Traditional wallets often lack safeguards to address real-world coercion scenarios. Addressing this challenge, Deus Wallet introduces a new feature: Duress Mode. This technology, integrated into Deus’s non-custodial framework, provides an added layer of security to help safeguard cryptocurrency assets and user safety in high-risk situations. The Issue: Crypto Security Is More Than Digital While digital security has advanced with multi-signature wallets, biometric authentication, and hardware devices, physical security remains overlooked. Criminals have adapted their tactics, targeting crypto holders. Considering Real-Life Examples: 2022, London: Criminals broke into a businessman's home and extorted $1.1 million in Bitcoin at gunpoint. 2023, New York: A crypto trader was kidnapped and forced to transfer $400,000 while held captive. 2021, Bangkok: A prominent investor managing millions in crypto was ambushed by an international gang and coerced into transferring $2.7 million. In each case, victims lacked the tools to mitigate risks under pressure. Standard wallets provide no "last line of defense" for these real-world threats. Deus Wallet: Next-Level Protection Deus Wallet tackles this vulnerability with its non-custodial structure and Duress Mode. This approach allows users to retain full control over their assets while incorporating an additional security measure designed to address specific risks. Non-Custodial Goal With Deus, private keys are stored exclusively by the user, not on any centralized server. This eliminates third-party risks such as hacking, insider theft, or regulatory overreach. In an era where centralization poses increasing threats, non-custodial wallets offer unparalleled independence and security. Duress Mode was developed with one goal: to protect users in life-threatening situations. The Way it Works: Duress PIN Configuration: Setting a secondary PIN during wallet setup. Under Coercion: Entering the Duress PIN instead of the regular one. Seamless Decoy: The wallet opens a "fake" account with minimal or no funds, while users' actual assets remain hidden. This feature ensures that attackers see what appears to be the entire wallet balance, without ever suspecting the existence of hidden funds. Deus Wallet is part of a growing movement to rethink cryptocurrency security. As the crypto ecosystem matures, protecting users in both digital and physical spaces is becoming more important. The Bigger Picture: Rising Crypto Adoption: As cryptocurrencies enter mainstream finance, the average user profile shifts from tech-savvy enthusiasts to general consumers, many of whom lack advanced security awareness. Criminal Adaptability: Criminals exploit the pseudonymity of blockchain transactions, knowing that once assets are transferred, they’re nearly impossible to recover. The Security Gap: While solutions like hardware wallets protect against cyber threats, tools like Duress Mode address the issue of physical security. Deus Wallet is at the forefront of this shift, setting a new standard for protecting users and their assets. Key Features of Deus Wallet Non-Custodial Architecture: Full control of private keys ensures users' funds are always theirs. Duress Mode: A revolutionary feature to safeguard assets under physical coercion. User-Friendly Design: Intuitive interface suitable for beginners and experts alike. Advanced Encryption: Multi-layered security protects against cyberattacks. Customizable Settings: Users can define access parameters and Duress Mode triggers according to their preferences. Cross-Platform Compatibility: Available on iOS, Android. In today’s world, digital and physical security go hand-in-hand. Deus Wallet provides a comprehensive solution, ensuring that users' assets and personal safety are never compromised. About Deus Wallet Deus Wallet offers a comprehensive platform for storing and managing cryptocurrencies and NFTs, featuring tools to track account activity and streamline asset management. By integrating multiple functionalities, Deus Wallet eliminates the need to navigate several decentralized platforms. With a focus on user-friendly design, Deus Wallet balances simplicity and functionality, making it a practical choice for those seeking efficient and accessible solutions. Trusted by users in over 166 countries, Deus Wallet serves a broad audience, including individuals and enterprises, across five continents. Deus Wallet is designed to support both new and experienced users, providing tools for secure asset management and streamlined engagement with decentralized finance. Users can visit https://deuswallet.com to learn more about how Deus Wallet is reshaping crypto security for the modern age. Contact Pavel Derkach DEUS WALLET APS LTD support@deuswallet.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here LONDON, UK, December 19th, 2024/Chainwire/--As cryptocurrency adoption expands, so do the associated risks, including physical threats targeting crypto holders. Traditional wallets often lack safeguards to address real-world coercion scenarios. Addressing this challenge, Deus Wallet introduces a new feature: Duress Mode. Deus Wallet Deus Wallet This technology, integrated into Deus’s non-custodial framework, provides an added layer of security to help safeguard cryptocurrency assets and user safety in high-risk situations. The Issue: Crypto Security Is More Than Digital While digital security has advanced with multi-signature wallets, biometric authentication, and hardware devices, physical security remains overlooked. Criminals have adapted their tactics, targeting crypto holders. Considering Real-Life Examples: 2022, London: Criminals broke into a businessman's home and extorted $1.1 million in Bitcoin at gunpoint. 2023, New York: A crypto trader was kidnapped and forced to transfer $400,000 while held captive. 2021, Bangkok: A prominent investor managing millions in crypto was ambushed by an international gang and coerced into transferring $2.7 million. In each case, victims lacked the tools to mitigate risks under pressure. Standard wallets provide no "last line of defense" for these real-world threats. Deus Wallet: Next-Level Protection Deus Wallet tackles this vulnerability with its non-custodial structure and Duress Mode. This approach allows users to retain full control over their assets while incorporating an additional security measure designed to address specific risks. Non-Custodial Goal With Deus, private keys are stored exclusively by the user, not on any centralized server. This eliminates third-party risks such as hacking, insider theft, or regulatory overreach. In an era where centralization poses increasing threats, non-custodial wallets offer unparalleled independence and security. Duress Mode was developed with one goal: to protect users in life-threatening situations. The Way it Works: Duress PIN Configuration: Setting a secondary PIN during wallet setup. Under Coercion: Entering the Duress PIN instead of the regular one. Seamless Decoy: The wallet opens a "fake" account with minimal or no funds, while users' actual assets remain hidden. This feature ensures that attackers see what appears to be the entire wallet balance, without ever suspecting the existence of hidden funds. Deus Wallet is part of a growing movement to rethink cryptocurrency security. As the crypto ecosystem matures, protecting users in both digital and physical spaces is becoming more important. Deus Wallet Deus Wallet The Bigger Picture: Rising Crypto Adoption: As cryptocurrencies enter mainstream finance, the average user profile shifts from tech-savvy enthusiasts to general consumers, many of whom lack advanced security awareness. Criminal Adaptability: Criminals exploit the pseudonymity of blockchain transactions, knowing that once assets are transferred, they’re nearly impossible to recover. The Security Gap: While solutions like hardware wallets protect against cyber threats, tools like Duress Mode address the issue of physical security. Deus Wallet is at the forefront of this shift, setting a new standard for protecting users and their assets. Key Features of Deus Wallet Non-Custodial Architecture: Full control of private keys ensures users' funds are always theirs. Duress Mode: A revolutionary feature to safeguard assets under physical coercion. User-Friendly Design: Intuitive interface suitable for beginners and experts alike. Advanced Encryption: Multi-layered security protects against cyberattacks. Customizable Settings: Users can define access parameters and Duress Mode triggers according to their preferences. Cross-Platform Compatibility: Available on iOS, Android. In today’s world, digital and physical security go hand-in-hand. Deus Wallet provides a comprehensive solution, ensuring that users' assets and personal safety are never compromised. About Deus Wallet Deus Wallet offers a comprehensive platform for storing and managing cryptocurrencies and NFTs, featuring tools to track account activity and streamline asset management. By integrating multiple functionalities, Deus Wallet eliminates the need to navigate several decentralized platforms. Deus Wallet Deus Wallet With a focus on user-friendly design, Deus Wallet balances simplicity and functionality, making it a practical choice for those seeking efficient and accessible solutions. Trusted by users in over 166 countries, Deus Wallet serves a broad audience, including individuals and enterprises, across five continents. Deus Wallet is designed to support both new and experienced users, providing tools for secure asset management and streamlined engagement with decentralized finance. Users can visit https://deuswallet.com to learn more about how Deus Wallet is reshaping crypto security for the modern age. https://deuswallet.com https://deuswallet.com Contact Pavel Derkach DEUS WALLET APS LTD support@deuswallet.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

Deus Wallet Introduces Duress Mode: The Revolutionary Solution For Cryptocurrency Security

Deus Wallet uvodi Duress Mode: Revolucionarno rješenje za sigurnost kriptovaluta

Deus Wallet presenta el modo Duress: la solución revolucionaria para la seguridad de las criptomonedas

کیف پول Deus حالت اجباری را معرفی می کند: راه حل انقلابی برای امنیت ارزهای دیجیتال

Deus Wallet Entwodui Mode Duress: Solisyon Revolisyonè Pou Sekirite Cryptocurrency

Deus Wallet が Duress Mode を導入: 暗号通貨セキュリティの革命的なソリューション

Deus Wallet мәжбүрлеу режимін ұсынады: криптовалюта қауіпсіздігінің революциялық шешімі

Deus Wallet dia mampiditra ny fomba fanerena: Vahaolana Revolisionera ho an'ny fiarovana Cryptocurrency

Deus Wallet wprowadza tryb Duress: rewolucyjne rozwiązanie dla bezpieczeństwa kryptowalut

Deus Wallet Inosuma Duress Mode: Iyo Yekuchinja Mhinduro Ye Cryptocurrency Chengetedzo

Deus Wallet prezanton modalitetin e shtrëngimit: Zgjidhja revolucionare për sigurinë e kriptomonedhës

Deus Wallet Inatanguliza Hali ya Kulazimisha: Suluhisho la Mapinduzi kwa Usalama wa Cryptocurrency

Deus Wallet giới thiệu chế độ Duress: Giải pháp mang tính cách mạng cho bảo mật tiền điện tử

As a PhD student, you’re likely feeling a mix of excitement and overwhelm as you embark on your research journey. Reflecting on my own experience, I remember the challenges and limitations of the tools available on the market to assist with conducting your literature review. During the COVID period, tools like Research Rabbit and Zotero were a bit more rudimentary and easier to use, and they proved invaluable in my first year. However, this realisation prompted me to share insights on how to effectively utilise such tools. This short blog was inspired after watching the potential of AI tools showcased in “Write A Masterpiece Systematic Literature Review With AI [Next Level Strategies]” by Andy Stapleton, Please note that the advice and approaches discussed in this blog reflect my personal experience and are not professional academic advice. In this blog, I will introduce the Triple T Approach — Tactics, Techniques, and Tools — to streamline literature reviews. By integrating strategic planning, methodological execution, and AI tools like ChatGPT, Elicit, and Litmap, this approach ensures a comprehensive and efficient review process. Be Aware of the Texas sharpshooter! Before diving into the Triple T framework, it’s crucial to heed the advice of being wary of the Texas sharpshooter fallacy. that refers to a scenario where a person, lacking actual shooting skills, randomly fires bullets at a barn wall. Subsequently, they paint a bull’s-eye around a fortuitous cluster of bullet holes and proclaim themselves a sharpshooter. Falling into this trap can be tempting, particularly with tools that produce seemingly strong evidence, which may obscure their biases. This is why it’s essential to question everything produced by AI, by adopting a philosophical skepticism mindset. It’s crucial to question everything produced by AI to provoke awareness of any bias existing in the data set and challenge our assumptions while evaluating evidence generated by GenAI tools and exploring different perspectives and their implications on our research direction. This logical pitfall warns against being drawn to tools that appear to provide strong evidence, potentially concealing biases. Utilizing these tools effectively requires critical thinking skills; in this context, these skills act as your shooting skills for the Texas sharpshooter fallacy! This is why I always recommend reading more about this topic, as it introduces essential life skills to help not only grow your research but also grow as a researcher. This approach ensures a comprehensive and efficient review process while also keeping in mind the limitations of current AI tools and their biases. When choosing each tactic, try to link it with appropriate tools and techniques while considering how they align together and the implications of such an approach on the limitations of AI tools. I have only focused on the bias challenge, but of course, there are many limitations awaiting AI in academia. Always remember that you are leading the tools, not the other way around. What is the Triple T Approach? The Triple T framework breaks down into Tactics, Techniques, and Tools. Tactics involve strategic decisions in structuring the review, conducting thorough literature searches, and synthesizing information. Techniques encompass methods such as AI-assisted structuring and analytical reading, while Tools consist of resources like ChatGPT and Mendeley for efficient literature management. Applying the Triple T Approach to Your Literature Review Workflow: Here’s a quick walkthrough of some of the concepts and strategies applied in the approach to ensure a methodical and tool-driven process, enhancing the quality and depth of your review. 1. Tactics: • Structuring the Review: Develop a clear, organized structure for your literature review. • Comprehensive Literature Search: Systematically search for and select relevant literature. • Synthesizing Information: Integrating findings from various sources into a cohesive narrative. 2. Techniques: • AI-Assisted Structuring: Using AI to generate a preliminary structure for your review. • Targeted Literature Discovery: Employing specific queries based on your review structure to find relevant literature. • Analytical Reading and Organization: Critically reading and categorizing literature for easy reference and synthesis. 3. Tools: • ChatGPT and Perplexity: For generating the initial structure of your literature review. • PaperPal and Jenni AI: Tools to assist with proofreading your initial drafts and refining your literature structure. • Elicit or Scispace: To search for and summarize seed papers based on your structured queries. • Litmap and Connected Papers: For discovering related literature reviews. • Mendeley or Zetro: To manage and organize your references and PDFs. • Docanalyzer.AI: For analyzing documents and aligning them with your review structure. By aligning your research with this approach, you’ll streamline your workflow and lay a robust foundation for your literature review paper. Of course, this approach is flexible. For example, when you start structuring the plan for your literature review, you could use tools like Perplexity and then draft and proofread the initial paper structure using PaperPal. However, you could also gather information before you do any planning. Thus, a tactic like synthesizing information will need some techniques for targeted literature discovery through Elicit. So, please add or update any section of this approach that you feel fits your needs! As a PhD student, you’re likely feeling a mix of excitement and overwhelm as you embark on your research journey. Reflecting on my own experience, I remember the challenges and limitations of the tools available on the market to assist with conducting your literature review. During the COVID period, tools like Research Rabbit and Zotero were a bit more rudimentary and easier to use, and they proved invaluable in my first year. However, this realisation prompted me to share insights on how to effectively utilise such tools. This short blog was inspired after watching the potential of AI tools showcased in “ Write A Masterpiece Systematic Literature Review With AI [Next Level Strategies ]” by Andy Stapleton, Please note that the advice and approaches discussed in this blog reflect my personal experience and are not professional academic advice. In this blog, I will introduce the Triple T Approach — Tactics, Techniques, and Tools — to streamline literature reviews. By integrating strategic planning, methodological execution, and AI tools like ChatGPT, Elicit, and Litmap, this approach ensures a comprehensive and efficient review process. Write A Masterpiece Systematic Literature Review With AI [Next Level Strategies Be Aware of the Texas sharpshooter! Be Aware of the Texas sharpshooter! Before diving into the Triple T framework, it’s crucial to heed the advice of being wary of the Texas sharpshooter fallacy . that refers to a scenario where a person, lacking actual shooting skills, randomly fires bullets at a barn wall. Subsequently, they paint a bull’s-eye around a fortuitous cluster of bullet holes and proclaim themselves a sharpshooter. Falling into this trap can be tempting, particularly with tools that produce seemingly strong evidence, which may obscure their biases. Texas sharpshooter fallacy This is why it’s essential to question everything produced by AI, by adopting a philosophical skepticism mindset. It’s crucial to question everything produced by AI to provoke awareness of any bias existing in the data set and challenge our assumptions while evaluating evidence generated by GenAI tools and exploring different perspectives and their implications on our research direction. This logical pitfall warns against being drawn to tools that appear to provide strong evidence, potentially concealing biases. Utilizing these tools effectively requires critical thinking skills; in this context, these skills act as your shooting skills for the Texas sharpshooter fallacy! This is why I always recommend reading more about this topic, as it introduces essential life skills to help not only grow your research but also grow as a researcher. This approach ensures a comprehensive and efficient review process while also keeping in mind the limitations of current AI tools and their biases. When choosing each tactic, try to link it with appropriate tools and techniques while considering how they align together and the implications of such an approach on the limitations of AI tools. I have only focused on the bias challenge, but of course, there are many limitations awaiting AI in academia. Always remember that you are leading the tools, not the other way around. you are leading What is the Triple T Approach? What is the Triple T Approach? The Triple T framework breaks down into Tactics, Techniques, and Tools. Tactics involve strategic decisions in structuring the review, conducting thorough literature searches, and synthesizing information. Techniques encompass methods such as AI-assisted structuring and analytical reading, while Tools consist of resources like ChatGPT and Mendeley for efficient literature management. strategic decisions methods resources Applying the Triple T Approach to Your Literature Review Workflow: Applying the Triple T Approach to Your Literature Review Workflow: Here’s a quick walkthrough of some of the concepts and strategies applied in the approach to ensure a methodical and tool-driven process, enhancing the quality and depth of your review. 1. Tactics: 1. Tactics: • Structuring the Review : Develop a clear, organized structure for your literature review. Structuring the Review • Comprehensive Literature Search : Systematically search for and select relevant literature. Comprehensive Literature Search • Synthesizing Information : Integrating findings from various sources into a cohesive narrative. Synthesizing Information 2. Techniques: 2. Techniques: • AI-Assisted Structuring : Using AI to generate a preliminary structure for your review. AI-Assisted Structuring • Targeted Literature Discovery : Employing specific queries based on your review structure to find relevant literature. Targeted Literature Discovery • Analytical Reading and Organization : Critically reading and categorizing literature for easy reference and synthesis. Analytical Reading and Organization 3. Tools: 3. Tools: • ChatGPT and Perplexity : For generating the initial structure of your literature review. ChatGPT and Perplexity • PaperPal and Jenni AI : Tools to assist with proofreading your initial drafts and refining your literature structure. PaperPal and Jenni AI • Elicit or Scispace : To search for and summarize seed papers based on your structured queries. Elicit or Scispace • Litmap and Connected Papers : For discovering related literature reviews. Litmap and Connected Papers • Mendeley or Zetro : To manage and organize your references and PDFs. Mendeley or Zetro • Docanalyzer.AI : For analyzing documents and aligning them with your review structure. Docanalyzer.AI By aligning your research with this approach, you’ll streamline your workflow and lay a robust foundation for your literature review paper. Of course, this approach is flexible. For example, when you start structuring the plan for your literature review, you could use tools like Perplexity and then draft and proofread the initial paper structure using PaperPal. However, you could also gather information before you do any planning. Thus, a tactic like synthesizing information will need some techniques for targeted literature discovery through Elicit. So, please add or update any section of this approach that you feel fits your needs! structuring synthesizing information targeted literature discovery

AI Literature Reviews Are So Much Better With the Triple T Method

DENVER, USA, December 2nd, 2024/Chainwire/--Dai Lo is thrilled to announce the successful acquisition of Fractal,which marks a pivotal moment for the future of blockchain technology and privacy innovation. After months of strategic discussions, the acquisition, completed for an undisclosed amount, positions The Dai Lo to harness Fractal’s groundbreaking ZK technology and revitalize its vision for the future. The acquisition encompasses Fractal’s robust technology portfolio, token reserves, intellectual property, and, most importantly, its dedicated community. By integrating these assets, The Dai Lo aims to expand upon the exceptional work initiated by Fractal’s founders and deliver transformative solutions. “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” - Gary Mitchell. A Strategic Vision for Fractal Earlier this year, The Dai Lo embarked on a journey to explore groundbreaking projects in the Bitcoin, UTXO, BRC20, and Runes ecosystems. Fractal stood out as a project with immense potential but lacked the momentum to realize it fully. While Fractal demonstrated the capacity to operate as an independent Layer 1 (L1) or Layer 2 (L2) platform, its greatest value lies in serving as a foundational component for broader ecosystems, bridging blockchain and traditional Web2 applications. With privacy as a core focus, Fractal’s technology is uniquely positioned to redefine the market. “It’s our belief that this project could achieve a $1 billion market cap or more,” said Gary Mitchell, The Dai Lo’s unofficial leader. “Our mission is to realize that potential and build a future where privacy is prioritized and celebrated.” Meet The Dai Lo The Dai Lo is a team of transformation specialists committed to identifying undervalued projects and driving them to success. Gary Mitchell (@GuyGaryMitchell): A startup veteran passionate about innovation, Mitchell brings a wealth of experience from the Ethereum, Cardano, and Solana ecosystems and will dedicate his focus entirely to Fractal.
Yeolin Han (@_yeonglihan): A coding prodigy with expertise in UTXO chains and the RGBPP space, Han’s technical acumen will be instrumental in unlocking Fractal’s full potential.
And a team of about 10 developers with expertise in AI, ZK, and other related technologies. The Path Forward Revitalizing Fractal’s community is the team’s top priority. Acknowledging frustrations from past mismanagement, The Dai Lo is committed to rebuilding trust, improving transparency, and expanding the community with new supporters who align with the project’s vision. In tandem, the team is revisiting branding to return to Fractal’s roots as a privacy-focused project. With cutting-edge zero-knowledge technology in the pipeline, the long-term goal is to make Fractal scalable, reliable, and user-friendly. “Privacy isn’t just a feature—it’s the foundation,” said Yeolin Han. “Fractal will empower users to decide what remains public and what stays private, revolutionizing on-chain transaction privacy”. ”Additionally, “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” said Gary Mitchell. Acknowledgments and Looking Ahead With the dissolution of Discreet Labs, the organization behind Fractal, The Dai Lo expresses its gratitude to all contributors who laid the groundwork for this acquisition. Special thanks go to Sam Harrison for his instrumental role in finalizing the deal. The Dai Lo is excited to usher in a new era for Fractal, with ambitious plans to elevate the project to unprecedented heights. The team invites the community to join them in shaping the future of $FRA and blockchain innovation. About Fractal Network Fractal Network is a multi-layer network committed to applying zero-knowledge cryptography at every level of the Web3 stack. Our technology powers secured DeFi, asset tokenization, on-chain identity, private transactions, and more. Through applied zero-knowledge encryption, Fractal is creating a secure on-chain environment for all of Web3. Join our community on X, Telegram, or Farcaster to learn more. Contact Contributor Gary Mitchell Fractal marketing@fra.tech This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DENVER, USA, December 2nd, 2024/Chainwire/--Dai Lo is thrilled to announce the successful acquisition of Fractal,which marks a pivotal moment for the future of blockchain technology and privacy innovation. After months of strategic discussions, the acquisition, completed for an undisclosed amount, positions The Dai Lo to harness Fractal’s groundbreaking ZK technology and revitalize its vision for the future. The acquisition encompasses Fractal’s robust technology portfolio, token reserves, intellectual property, and, most importantly, its dedicated community. By integrating these assets, The Dai Lo aims to expand upon the exceptional work initiated by Fractal’s founders and deliver transformative solutions. “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” - Gary Mitchell. “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” - Gary Mitchell. A Strategic Vision for Fractal Earlier this year, The Dai Lo embarked on a journey to explore groundbreaking projects in the Bitcoin, UTXO, BRC20, and Runes ecosystems. Fractal stood out as a project with immense potential but lacked the momentum to realize it fully. While Fractal demonstrated the capacity to operate as an independent Layer 1 (L1) or Layer 2 (L2) platform, its greatest value lies in serving as a foundational component for broader ecosystems, bridging blockchain and traditional Web2 applications. With privacy as a core focus, Fractal’s technology is uniquely positioned to redefine the market. “It’s our belief that this project could achieve a $1 billion market cap or more,” said Gary Mitchell, The Dai Lo’s unofficial leader. “Our mission is to realize that potential and build a future where privacy is prioritized and celebrated.” “It’s our belief that this project could achieve a $1 billion market cap or more,” said Gary Mitchell, The Dai Lo’s unofficial leader. “Our mission is to realize that potential and build a future where privacy is prioritized and celebrated.” Meet The Dai Lo The Dai Lo is a team of transformation specialists committed to identifying undervalued projects and driving them to success. Gary Mitchell (@GuyGaryMitchell): A startup veteran passionate about innovation, Mitchell brings a wealth of experience from the Ethereum, Cardano, and Solana ecosystems and will dedicate his focus entirely to Fractal. Yeolin Han (@_yeonglihan): A coding prodigy with expertise in UTXO chains and the RGBPP space, Han’s technical acumen will be instrumental in unlocking Fractal’s full potential. And a team of about 10 developers with expertise in AI, ZK, and other related technologies. Gary Mitchell ( @GuyGaryMitchell ): A startup veteran passionate about innovation, Mitchell brings a wealth of experience from the Ethereum, Cardano, and Solana ecosystems and will dedicate his focus entirely to Fractal. @GuyGaryMitchell @GuyGaryMitchell Yeolin Han ( @_yeonglihan ): A coding prodigy with expertise in UTXO chains and the RGBPP space, Han’s technical acumen will be instrumental in unlocking Fractal’s full potential. @_yeonglihan @_yeonglihan And a team of about 10 developers with expertise in AI, ZK, and other related technologies. The Path Forward Revitalizing Fractal’s community is the team’s top priority. Acknowledging frustrations from past mismanagement, The Dai Lo is committed to rebuilding trust, improving transparency, and expanding the community with new supporters who align with the project’s vision. In tandem, the team is revisiting branding to return to Fractal’s roots as a privacy-focused project. With cutting-edge zero-knowledge technology in the pipeline, the long-term goal is to make Fractal scalable, reliable, and user-friendly. “Privacy isn’t just a feature—it’s the foundation,” said Yeolin Han. “Privacy isn’t just a feature—it’s the foundation,” said Yeolin Han. “Fractal will empower users to decide what remains public and what stays private, revolutionizing on-chain transaction privacy”. “Fractal will empower users to decide what remains public and what stays private, revolutionizing on-chain transaction privacy”. ”Additionally, “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” said Gary Mitchell. ”Additionally, “Fractal should be part of every technology stack in DeFi, AI, and others on every chain possible. Privacy is a killer app and should be an option on every application on every chain. Fractal aims to be used everywhere” said Gary Mitchell. Acknowledgments and Looking Ahead With the dissolution of Discreet Labs, the organization behind Fractal, The Dai Lo expresses its gratitude to all contributors who laid the groundwork for this acquisition. Special thanks go to Sam Harrison for his instrumental role in finalizing the deal. The Dai Lo is excited to usher in a new era for Fractal, with ambitious plans to elevate the project to unprecedented heights. The team invites the community to join them in shaping the future of $FRA and blockchain innovation. About Fractal Network Fractal Network is a multi-layer network committed to applying zero-knowledge cryptography at every level of the Web3 stack. Fractal Network Fractal Network Our technology powers secured DeFi, asset tokenization, on-chain identity, private transactions, and more. Through applied zero-knowledge encryption, Fractal is creating a secure on-chain environment for all of Web3. Join our community on X, Telegram, or Farcaster to learn more. Contact Contributor Gary Mitchell Fractal marketing@fra.tech 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

The Dai Lo Announces Acquisition Of Fractal Network

أعلنت شركة داي لو عن استحواذها على شركة Fractal Network

The Dai Lo najavljuje preuzimanje Fractal Networka

The Dai Lo anuncia l'adquisició de Fractal Network

Dai Lo anuncia la adquisición de Fractal Network

Dai Lo、フラクタルネットワークの買収を発表

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Are you a startup founder who is having trouble building their first big wave of traction? If so, I promise you're not alone! Virtually every founder needs to balance an endless number of priorities when they start their business. In my experience, the reason 10% of startups fail in the first year is they don't do enough to get through the noise and connect with their target audience. The good news is that if you know about this and have the right strategies lined up, you can avoid this pitfall and take your new business to the next level. With this in mind, here are seven creative ways you can promote your startup, reach out, and build the traction required for your business. I've used these for quite a few of our recent projects and have seen tremendous success. I firmly believe this is possible for you, too. So, let's dive in! Spend More Time on Social Media Social media sites are now a must-have marketing strategy for businesses across all industries. For context, it's estimated that around 93% of all internet users log in to social media at least once a month. It's also worth mentioning that the average social media user spends 2 hours and 19 minutes on these sites every day. Crazy, right? Now, combine all of that with the fact that Google is now placing content from social media in its search results more than ever before. That means having an active presence means not just a way of connecting but also visibility. However, what really makes the difference with social media is consistency. Creating a posting schedule, regularly commenting, and even responding to direct messages with your audience will help you grow your social presence and trust with soon-to-be customers. If you want to grow your startup, I would say social media is the most important thing you can do right now. As you'll see, some of the other tips I'll discuss down below tie directly back to this theory.Image Source Embrace Influencers and Affiliates On that note, working with influencers and affiliates can really help you project your voice when you're just starting out. I'll bet there's a list of influencers or other content creators you follow regularly. Well, your audience is in the same position. If you want to win over new people, start partnering with creators in your industry and ask if they're willing to talk about your product or service. Offering an affiliate program can speed up this process. People are more willing to take action if they can get a residual income from their work. When you consider that around 16% of eCommerce sales in the U.S. and Canada are from affiliate marketing, it's not hard to see why this is an inviting incentive. But first, you have to find creators whose values and content actually align with your brand. I think the most important thing to remember here is you don't need someone with millions of followers. In fact, it's better to work with influencers with a smaller audience since their followers are often there because of the specific niche. If your product or service fits into that niche, it's a perfect match for driving new people to your website. Run a Giveaway Giveaways are an excellent way to attract new people to your startup and drastically improve visibility. Quite simply, everybody loves stuff for free. Similarly, most of us are intrigued by the idea of winning a giveaway! The key to holding a successful giveaway is to set up rules that result in people sharing your post and specific landing pages while also sharing it with their followers. For example, you can give people three ways to enter. The first is by simply clicking enter, the second is by visiting the giveaway landing page, and the third is by sharing it with a specific hashtag. All of these signals will help get more eyes on your giveaway, which means more participants and greater awareness, even after the event ends. You can choose a prize you like best. Something from your website is a good option, but if you want to reach as many people as possible, a general prize, like an Amazon gift card, is a safe bet. Image Source Make Your Website More Interactive Your site is for more than selling products. Ideally, you want people to stick around and, engage with your content and become more comfortable with your brand. With this in mind, static, uninteresting sites will turn people away, while interactive elements keep them engaged. One of the best ways to increase the interactivity of your website is by adding a live chat option where potential customers can ask their questions and get instant answers. This will also instill confidence in people who are visiting for the first time. You could also add hands-on product demonstrations, reactive surveys, and videos that keep people on each page for longer than the time it takes them to scroll from top to bottom. Another good option is personalization. It makes a site more relevant and engaging by using tools, now mostly powered by AI, to recommend products or tailor content for every single visitor. These interactive features not only increase conversions but also leave a lasting impression on people who visit your site. Showcase User-Generated Content User-generated content (UGV) is, without a doubt, one of the best ways to build trust. And when you're just starting, you need people to trust you if you want them to hand over sensitive information to become an email subscriber or customer. My advice is to turn to your small group of established customers and followers to create UGC around your brand or products. Examples of this type of content include customer testimonials, which you can later add to your website, or even doing something like using a brand hashtag. There are a ton of options to choose from, too, regardless of whether you sell physical or digital products. If you're the founder of a software company, for instance, you can do a case study with one of your first customers that found success. All of these trust signals attract more people, and as folks try your product, more will leave to create UGC, which will keep the cycle going. Image Source Add a Referral Program While we are on the topic of leveraging existing customers, it's a really good idea to create a referral program early in your brand lifecycle. A referral program is a system where customers are rewarded for bringing in business from their friends, family members, or colleagues. You could offer them discounts, gift cards, or special privileges for referring new customers. Some businesses take this further and set up tiered systems, whereby the more people a customer brings in, the more rewards they can earn. The key is to keep things simple and enticing. When the customers see the benefit of bringing in others, then they're more likely to become brand ambassadors and help you grow without much extra effort on your part. Combine referral programs with other marketing strategies I mentioned in order to really make them work. For example, a refer-a-friend giveaway is an excellent way to get new people to visit your website who come with built-in trust because they know the person who recommended your company. Partner with Reputable Brands Partnering with established brands can really help new startups reach new audiences and build credibility. The key is to find businesses that are complementary to yours, not competitive. Let me give you an example: If you have a startup dealing in fitness gear, then partnering with a local gym or nutrition company would be perfect. Partnerships come with a lot of benefits: They help you tap into the audience that may not be aware of your brand but is already interested in what you are offering.
It increases your credibility by association; customers will trust you more when they see you working with a company they respect and trust.
Partnerships can help create meaningful connections within your niche, so more opportunities may arise in the long term. Whether it's co-hosting an event, orchestrating a joint promotion, or bundling your products together, collaborations can help you move much faster than doing it by yourself. Final Thoughts All successful startups embrace marketing early. They know that there's no quicker way to connect with their audience and grow than by proactively working to get in touch through many different channels, like social media, email, and their website. The tips I've outlined today will help you build a marketing framework that you can adjust based on your industry and long-term goals. If you want to make sure you're doing the best you can, make sure to track your marketing analytics so you can figure out what's working and what isn't. Before long, you'll have an organized plan where you gradually grow organic traffic, subscribers, and of course, customers. Are you a startup founder who is having trouble building their first big wave of traction? If so, I promise you're not alone! Are you a startup founder who is having trouble building their first big wave of traction? If so, I promise you're not alone! Virtually every founder needs to balance an endless number of priorities when they start their business. In my experience, the reason 10% of startups fail in the first year is they don't do enough to get through the noise and connect with their target audience. 10% 10% The good news is that if you know about this and have the right strategies lined up, you can avoid this pitfall and take your new business to the next level. With this in mind, here are seven creative ways you can promote your startup, reach out, and build the traction required for your business. I've used these for quite a few of our recent projects and have seen tremendous success. I firmly believe this is possible for you, too. So, let's dive in! Spend More Time on Social Media Social media sites are now a must-have marketing strategy for businesses across all industries. For context, it's estimated that around 93% of all internet users log in to social media at least once a month. It's also worth mentioning that the average social media user spends 2 hours and 19 minutes on these sites every day. 93% 93% Crazy, right? Now, combine all of that with the fact that Google is now placing content from social media in its search results more than ever before. That means having an active presence means not just a way of connecting but also visibility. However, what really makes the difference with social media is consistency. Creating a posting schedule, regularly commenting, and even responding to direct messages with your audience will help you grow your social presence and trust with soon-to-be customers. If you want to grow your startup, I would say social media is the most important thing you can do right now. As you'll see, some of the other tips I'll discuss down below tie directly back to this theory. Image Source Image Source Embrace Influencers and Affiliates On that note, working with influencers and affiliates can really help you project your voice when you're just starting out. I'll bet there's a list of influencers or other content creators you follow regularly. Well, your audience is in the same position. If you want to win over new people, start partnering with creators in your industry and ask if they're willing to talk about your product or service. Offering an affiliate program can speed up this process. People are more willing to take action if they can get a residual income from their work. When you consider that around 16% of eCommerce sales in the U.S. and Canada are from affiliate marketing, it's not hard to see why this is an inviting incentive. 16% 16% But first, you have to find creators whose values and content actually align with your brand. I think the most important thing to remember here is you don't need someone with millions of followers. In fact, it's better to work with influencers with a smaller audience since their followers are often there because of the specific niche. If your product or service fits into that niche, it's a perfect match for driving new people to your website. Run a Giveaway Giveaways are an excellent way to attract new people to your startup and drastically improve visibility. Quite simply, everybody loves stuff for free. Similarly, most of us are intrigued by the idea of winning a giveaway! The key to holding a successful giveaway is to set up rules that result in people sharing your post and specific landing pages while also sharing it with their followers. For example, you can give people three ways to enter. The first is by simply clicking enter, the second is by visiting the giveaway landing page, and the third is by sharing it with a specific hashtag. All of these signals will help get more eyes on your giveaway, which means more participants and greater awareness, even after the event ends. You can choose a prize you like best. Something from your website is a good option, but if you want to reach as many people as possible, a general prize, like an Amazon gift card, is a safe bet. Image Source Image Source Make Your Website More Interactive Your site is for more than selling products. Ideally, you want people to stick around and, engage with your content and become more comfortable with your brand. With this in mind, static, uninteresting sites will turn people away, while interactive elements keep them engaged. One of the best ways to increase the interactivity of your website is by adding a live chat option where potential customers can ask their questions and get instant answers. This will also instill confidence in people who are visiting for the first time. You could also add hands-on product demonstrations, reactive surveys, and videos that keep people on each page for longer than the time it takes them to scroll from top to bottom. Another good option is personalization. It makes a site more relevant and engaging by using tools, now mostly powered by AI , to recommend products or tailor content for every single visitor. These interactive features not only increase conversions but also leave a lasting impression on people who visit your site. powered by AI powered by AI Showcase User-Generated Content User-generated content (UGV) is, without a doubt, one of the best ways to build trust. And when you're just starting, you need people to trust you if you want them to hand over sensitive information to become an email subscriber or customer. My advice is to turn to your small group of established customers and followers to create UGC around your brand or products. Examples of this type of content include customer testimonials, which you can later add to your website, or even doing something like using a brand hashtag. There are a ton of options to choose from, too, regardless of whether you sell physical or digital products. If you're the founder of a software company, for instance, you can do a case study with one of your first customers that found success. All of these trust signals attract more people, and as folks try your product, more will leave to create UGC, which will keep the cycle going. Image Source Image Source Add a Referral Program While we are on the topic of leveraging existing customers, it's a really good idea to create a referral program early in your brand lifecycle. A referral program is a system where customers are rewarded for bringing in business from their friends, family members, or colleagues. You could offer them discounts, gift cards, or special privileges for referring new customers. Some businesses take this further and set up tiered systems, whereby the more people a customer brings in, the more rewards they can earn. The key is to keep things simple and enticing. When the customers see the benefit of bringing in others, then they're more likely to become brand ambassadors and help you grow without much extra effort on your part. Combine referral programs with other marketing strategies I mentioned in order to really make them work. For example, a refer-a-friend giveaway is an excellent way to get new people to visit your website who come with built-in trust because they know the person who recommended your company. Partner with Reputable Brands Partnering with established brands can really help new startups reach new audiences and build credibility. The key is to find businesses that are complementary to yours, not competitive. Let me give you an example: If you have a startup dealing in fitness gear, then partnering with a local gym or nutrition company would be perfect. Partnerships come with a lot of benefits: They help you tap into the audience that may not be aware of your brand but is already interested in what you are offering. It increases your credibility by association; customers will trust you more when they see you working with a company they respect and trust. Partnerships can help create meaningful connections within your niche, so more opportunities may arise in the long term. They help you tap into the audience that may not be aware of your brand but is already interested in what you are offering. It increases your credibility by association; customers will trust you more when they see you working with a company they respect and trust. Partnerships can help create meaningful connections within your niche, so more opportunities may arise in the long term. Whether it's co-hosting an event, orchestrating a joint promotion, or bundling your products together, collaborations can help you move much faster than doing it by yourself. Final Thoughts All successful startups embrace marketing early. They know that there's no quicker way to connect with their audience and grow than by proactively working to get in touch through many different channels, like social media, email, and their website. The tips I've outlined today will help you build a marketing framework that you can adjust based on your industry and long-term goals. If you want to make sure you're doing the best you can, make sure to track your marketing analytics so you can figure out what's working and what isn't. Before long, you'll have an organized plan where you gradually grow organic traffic, subscribers, and of course, customers.

7 Creative Ways to Market Your Startup

Many people — particularly those outside the tech world — were introduced to OpenAI in November 2022, when the company launched its now-ubiquitous ChatGPT tool. However, it has been around for a lot longer than that. OpenAI captured headlines again more recently due to plans for a corporate restructuring that would mean it leaves behind its nonprofit roots. OpenAI’s Journey OpenAI started in 2015 as a nonprofit research organization dedicated to developing artificial intelligence tools that would benefit humanity as a whole, unrestricted by the need to turn a profit. Elon Musk and current OpenAI CEO Sam Altman were involved then, but Musk left in 2018. A year later, OpenAI added a for-profit subsidiary, turning the company into a hybrid for-profit and nonprofit entity in what it called a “capped profit” structure. Leaders at the time believed this change would keep OpenAI true to its roots while allowing it to use market power to grow its operations and revenue. The “capped” part of the structure’s name refers to limitations whereby the profits returned to the company’s investors can only be roughly 100 times what they put into the organization. Now, OpenAI’s structure seems set to change again, this time to a for-profit benefit corporation. This type of business focuses on sustainability and social responsibility in addition to profitmaking. One of the biggest differences about this development is that it would result in OpenAI’s nonprofit board losing control. For now, the nonprofit board has full control over the company’s for-profit arm. Another change is that Altman would receive equity for the first time — which could be worth billions. Moreover, the transition to a for-profit benefit company would remove the cap on investors’ returns. However, an interesting clarification came from an OpenAI representative who said the company’s nonprofit component would still exist and remain a core part of its goals. When will this restructuring occur? That’s anyone’s guess since those involved are still hashing out the details with legal professionals. However, as soon as the news reached major reporting outlets, some people started thinking about what it could mean for OpenAI and artificial intelligence in general. What Will the Restructuring Mean? Some people who have analyzed the matter said OpenAI’s restructuring might mean it will begin operating more like a startup. Investors would probably like that, but could it result in fewer checks and balances affecting products and processes? Contrary to its name, the company has never been upfront about its operations — employees must sign nondisclosure agreements that stop them from raising concerns to federal regulators. Additionally, a group of people working in the AI industry — including former OpenAI employees — signed an open letter explaining that those working on pioneering innovations in artificial intelligence have strong financial incentives to resist oversight and not share knowledge of what their products could or could not do with governments or civil society entities. Numerous employees have recently left OpenAI, with some, speaking anonymously, saying that the catalyst was a lack of trust in Altman and his ability to make AI work safely. Many have kept quiet because of a reported agreement people must sign when leaving the company that prevents them from speaking disparagingly about it. Some former workers who did not sign such paperwork have spoken out about their worries about the businesses’ increasingly powerful AI and the people who want it built not proceeding carefully enough. If OpenAI’s nonprofit board loses its current control, that may make the company’s leaders feel more equipped to proceed with whatever projects garner the most attention. Rushing to get these offerings on the market could also mean it doesn’t take safety as seriously as it should. OpenAI’s Impact on the Future of Artificial Intelligence Now that many AI tools are widely available, more people are insisting on controls that limit their potential applications. Others worry about the future, not necessarily because they believe that artificial intelligence will become smarter than humans, but due to privacy concerns, the prospect of job losses, and the potential for people to misuse AI. The shift to a for-profit model might also raise questions about priorities between profit and ethical AI development. Because of these concerns, transparency becomes even more crucial for the growing number of for-profit AI companies as they try to attract stakeholders — particularly as 60% of people cite transparency as the most important brand trait, according to one study. Embracing transparency can help build trust and reassure stakeholders that OpenAI remains committed to its foundational goals, even as its business model evolves. However, that sentiment could become problematic since OpenAI already has a reputation for being tight-lipped about its activities. People appreciate transparent companies, and it is arguably even more important to show that trait when the business specializes in a technology that the public views as largely foreign and new. For the average person who is merely curious about AI and how to use it, however, they likely won’t feel the impacts of OpenAI’s likely restructuring — at least not at first. Regular consumers will mostly pay attention to which products the company releases next. If those offerings become extremely profitable, such results will signal to its leaders that they should keep doing more of the same. It’s worth highlighting how OpenAI and the industry, in general, are already highly influential, with economic analysts saying generative AI will cause a 7% increase in global gross domestic product, resulting in a difference worth trillions of dollars. A related aspect is how relatively quickly people have gotten to know some of its tools and used them to do business and everyday tasks differently. Many individuals — even those who do not consider themselves tech-savvy — use AI numerous times throughout a typical week. That is almost certainly because of how accessible ChatGPT has become. Its popularity has helped OpenAI come into the mainstream, which arguably has implications for wider society — regardless of the ultimate impact of the eventual restructuring. An Uncertain But AI-Driven Future It’s too early to know the impacts of OpenAI transitioning to a for-profit benefit corporation. However, people can expect some aspects of its internal operations, stakeholder impact, and leadership to change in the coming months and years. We know with more confidence that artificial intelligence will continue playing a role in many people’s lives and shaping the tools they are now accustomed to using. Since OpenAI has enjoyed so much momentum in an increasingly crowded industry, its main task for the foreseeable future is to maintain it. If that happens, it will continue playing a significant role in artificial intelligence’s future, even if people don’t know what that looks like yet. Many people — particularly those outside the tech world — were introduced to OpenAI in November 2022, when the company launched its now-ubiquitous ChatGPT tool. However, it has been around for a lot longer than that. OpenAI captured headlines again more recently due to plans for a corporate restructuring that would mean it leaves behind its nonprofit roots. OpenAI’s Journey OpenAI started in 2015 as a nonprofit research organization dedicated to developing artificial intelligence tools that would benefit humanity as a whole, unrestricted by the need to turn a profit. Elon Musk and current OpenAI CEO Sam Altman were involved then, but Musk left in 2018. A year later, OpenAI added a for-profit subsidiary, turning the company into a hybrid for-profit and nonprofit entity in what it called a “capped profit” structure. Leaders at the time believed this change would keep OpenAI true to its roots while allowing it to use market power to grow its operations and revenue. The “capped” part of the structure’s name refers to limitations whereby the profits returned to the company’s investors can only be roughly 100 times what they put into the organization. roots while allowing it to use roots while allowing it to use Now, OpenAI’s structure seems set to change again, this time to a for-profit benefit corporation. This type of business focuses on sustainability and social responsibility in addition to profitmaking. One of the biggest differences about this development is that it would result in OpenAI’s nonprofit board losing control. For now, the nonprofit board has full control over the company’s for-profit arm. Another change is that Altman would receive equity for the first time — which could be worth billions. Moreover, the transition to a for-profit benefit company would remove the cap on investors’ returns. However, an interesting clarification came from an OpenAI representative who said the company’s nonprofit component would still exist and remain a core part of its goals. nonprofit component would still exist nonprofit component would still exist When will this restructuring occur? That’s anyone’s guess since those involved are still hashing out the details with legal professionals. However, as soon as the news reached major reporting outlets, some people started thinking about what it could mean for OpenAI and artificial intelligence in general. What Will the Restructuring Mean? Some people who have analyzed the matter said OpenAI’s restructuring might mean it will begin operating more like a startup. Investors would probably like that, but could it result in fewer checks and balances affecting products and processes? Contrary to its name, the company has never been upfront about its operations — employees must sign nondisclosure agreements that stop them from raising concerns to federal regulators. must sign nondisclosure agreements must sign nondisclosure agreements Additionally, a group of people working in the AI industry — including former OpenAI employees — signed an open letter explaining that those working on pioneering innovations in artificial intelligence have strong financial incentives to resist oversight and not share knowledge of what their products could or could not do with governments or civil society entities. Numerous employees have recently left OpenAI, with some, speaking anonymously, saying that the catalyst was a lack of trust in Altman and his ability to make AI work safely. Many have kept quiet because of a reported agreement people must sign when leaving the company that prevents them from speaking disparagingly about it. Some former workers who did not sign such paperwork have spoken out about their worries about the businesses’ increasingly powerful AI and the people who want it built not proceeding carefully enough. businesses’ increasingly powerful AI businesses’ increasingly powerful AI If OpenAI’s nonprofit board loses its current control, that may make the company’s leaders feel more equipped to proceed with whatever projects garner the most attention. Rushing to get these offerings on the market could also mean it doesn’t take safety as seriously as it should. OpenAI’s Impact on the Future of Artificial Intelligence Now that many AI tools are widely available, more people are insisting on controls that limit their potential applications. Others worry about the future, not necessarily because they believe that artificial intelligence will become smarter than humans, but due to privacy concerns, the prospect of job losses, and the potential for people to misuse AI. The shift to a for-profit model might also raise questions about priorities between profit and ethical AI development. Because of these concerns, transparency becomes even more crucial for the growing number of for-profit AI companies as they try to attract stakeholders — particularly as 60% of people cite transparency as the most important brand trait, according to one study. Embracing transparency can help build trust and reassure stakeholders that OpenAI remains committed to its foundational goals, even as its business model evolves. 60% of people cite transparency 60% of people cite transparency However, that sentiment could become problematic since OpenAI already has a reputation for being tight-lipped about its activities. People appreciate transparent companies, and it is arguably even more important to show that trait when the business specializes in a technology that the public views as largely foreign and new. For the average person who is merely curious about AI and how to use it, however, they likely won’t feel the impacts of OpenAI’s likely restructuring — at least not at first. Regular consumers will mostly pay attention to which products the company releases next. If those offerings become extremely profitable, such results will signal to its leaders that they should keep doing more of the same. It’s worth highlighting how OpenAI and the industry, in general, are already highly influential, with economic analysts saying generative AI will cause a 7% increase in global gross domestic product, resulting in a difference worth trillions of dollars. A related aspect is how relatively quickly people have gotten to know some of its tools and used them to do business and everyday tasks differently. Many individuals — even those who do not consider themselves tech-savvy — use AI numerous times throughout a typical week. will cause a 7% increase will cause a 7% increase That is almost certainly because of how accessible ChatGPT has become. Its popularity has helped OpenAI come into the mainstream, which arguably has implications for wider society — regardless of the ultimate impact of the eventual restructuring. An Uncertain But AI-Driven Future It’s too early to know the impacts of OpenAI transitioning to a for-profit benefit corporation. However, people can expect some aspects of its internal operations, stakeholder impact, and leadership to change in the coming months and years. We know with more confidence that artificial intelligence will continue playing a role in many people’s lives and shaping the tools they are now accustomed to using. Since OpenAI has enjoyed so much momentum in an increasingly crowded industry, its main task for the foreseeable future is to maintain it. If that happens, it will continue playing a significant role in artificial intelligence’s future, even if people don’t know what that looks like yet.

Inside OpenAI's Path to Becoming a For-Profit Powerhouse

The internet has long been a powerful resource, partially because it connects people. Relatedly, it allows like-minded individuals to come together and communicate about shared interests. Some parties have taken such activities to the next level, deciding to collaborate on common goals. This phenomenon has led to a rise in so-called cyber militias. Hacktivism, online armies, and online/digital activism are other synonyms for this emerging trend. What Is the Purpose of Cyber Militias? Although some of the earliest cyber militias banded together for political reasons, some participants have broadened their causes to include social and environmental aims. That characteristic explains why cyber activism has become more popular over the last several years. Wars, climate change, and civil unrest are some of the many factors that dominate people’s lives. Many are not in positions where they can safely attend protests or take other in-person actions. However, the internet is a highly accessible resource that individuals can harness for mobilization, communication, and solidarity. Relatedly, a 2023 analysis found that 92% of jobs require digital skills. Suppose people already have those capabilities because they use them in their work. Some might understandably want to apply them during their downtime if they feel compelled to act in response to things they see occurring in their society. The Internet as a Content Vehicle Another likely reason why cyber militias have cropped up relatively recently is that the internet makes it incredibly easy to distribute information to the masses in seconds. Traditional activism required printing flyers and taking the time to post them in prominent areas or give them to people at events. However, individuals can use the internet to do the equivalent of that in seconds. For example, estimates suggest that approximately 126 million Americans saw Russia-affiliated content during the 2016 United States presidential campaign, and that figure concerned Facebook alone. That massive reach also highlights how people can participate in cyber militias from anywhere and potentially influence the goings-on in other countries. Importantly, a worrisome part of internet-related content distribution is that anyone can get involved, and there is no guarantee of the validity of whatever they say. If the online content comes from a reporter at a well-known national or international news outlet, the employer's reputation strengthens the information distributor’s credibility. However, the accessibility and reach of social media combine to allow virtually anyone to spread information online. Things have gotten even more complicated with the increasing availability of AI-based video and picture tools. These products can create people’s faces from scratch or swap them. That means individuals cannot necessarily believe everything they see. However, a connected problem is that far too few internet users take the time to check facts and get the whole picture. Additionally, if people can push content far and wide, it greatly increases the chances of the masses seeing it. Hacker-Activists Disrupting Websites and Infrastructure Most cyber militias do not solely operate by publishing or creating content on a large scale that may not be wholly truthful or trustworthy. Instead, they also plan coordinated hacks that make websites or online services inoperable. Since so many essential parts of daily activities also have online components, hackers have disrupted those, too. Ukraine has one of the most recent examples of a cyber militia, with many volunteers joining its forces from all over the world. In July 2024, this group collectively targeted numerous Russian banks and ATMs, with the effects spreading to many payment systems and financial apps. Some hacktivists also plan their actions to ensure ripple effects across some industries that are not historically well-prepared to defend against cyberattacks. One example came when online activists targeted universities in the United Kingdom for their support of the Israeli government’s actions against the Palestinians. Most people know that the healthcare industry is a frequent attack target, and many decision-makers have responded accordingly. However, many educational institutions still have significant room for improvement, and hackers capitalize on that. Plus, many college campuses are like miniature cities, featuring branded eateries, convenience stores, health services offices, and more. A well-orchestrated cyberattack can go far beyond canceled classes. Ransomware demands given to higher education entities can surpass $300,000 on average, emphasizing the tremendous associated expenses for an ill-prepared organization. Inspiring Transitions From Behind Screens to on the Streets Although some cyber militias only feature people who make impacts while sitting at their keyboards, some efforts have caused a shift whereby some participants realized they must go beyond that kind of activism and populate public spaces. One reason for this is that some individuals are eager to take part but need help figuring out how to get started. The internet can connect them to the necessary resources, help them see how specific protest topics relate to their lives, and inspire them to join the crowds of those standing up for causes. For example, earlier in 2024, Kenyans protested against a controversial tax bill. Although those events began in the capital city, they quickly spread to other parts of the country. The internet was a large part of why that progression occurred. Someone with a background in internet mobilization and activism explained how the online component was instrumental in reaching marginalized groups. Additionally, the internet and various associated technologies have increased the speed at which people can create content and how effectively they can engage others. Another related aspect concerns the facilitation of online crowdfunding through dedicated portals. Some interested parties who are committed to the respective causes cannot feasibly attend in-person protests, even if the internet initially interests them. However, it is easy to send online payments to support causes and help participants obtain the supplies needed for the desired impact. Actions Can Occur Beyond Battlefields Most traditional discussions of militias relate to groups of citizens who come together to support official militaries and supplement their efforts. Conversely, militias can also rise when people want to oppose the military or government. These things remain valid, but the modern difference is that the internet and devices that connect to it have become powerful tools for getting heard and noticed during times of increasing upheaval. The internet has long been a powerful resource, partially because it connects people. Relatedly, it allows like-minded individuals to come together and communicate about shared interests. Some parties have taken such activities to the next level, deciding to collaborate on common goals. This phenomenon has led to a rise in so-called cyber militias. Hacktivism, online armies, and online/digital activism are other synonyms for this emerging trend. The internet has long been a powerful resource, partially because it connects people. Relatedly, it allows like-minded individuals to come together and communicate about shared interests. Some parties have taken such activities to the next level, deciding to collaborate on common goals. This phenomenon has led to a rise in so-called cyber militias. Hacktivism, online armies, and online/digital activism are other synonyms for this emerging trend. What Is the Purpose of Cyber Militias? What Is the Purpose of Cyber Militias? Although some of the earliest cyber militias banded together for political reasons, some participants have broadened their causes to include social and environmental aims. That characteristic explains why cyber activism has become more popular over the last several years. Wars, climate change, and civil unrest are some of the many factors that dominate people’s lives. Many are not in positions where they can safely attend protests or take other in-person actions. However, the internet is a highly accessible resource that individuals can harness for mobilization, communication, and solidarity. Relatedly, a 2023 analysis found that 92% of jobs require digital skills. Suppose people already have those capabilities because they use them in their work. Some might understandably want to apply them during their downtime if they feel compelled to act in response to things they see occurring in their society. found that 92% of jobs require found that 92% of jobs require The Internet as a Content Vehicle Another likely reason why cyber militias have cropped up relatively recently is that the internet makes it incredibly easy to distribute information to the masses in seconds. Traditional activism required printing flyers and taking the time to post them in prominent areas or give them to people at events. However, individuals can use the internet to do the equivalent of that in seconds. For example, estimates suggest that approximately 126 million Americans saw Russia-affiliated content during the 2016 United States presidential campaign, and that figure concerned Facebook alone. That massive reach also highlights how people can participate in cyber militias from anywhere and potentially influence the goings-on in other countries. approximately 126 million Americans saw approximately 126 million Americans saw Importantly, a worrisome part of internet-related content distribution is that anyone can get involved, and there is no guarantee of the validity of whatever they say. If the online content comes from a reporter at a well-known national or international news outlet, the employer's reputation strengthens the information distributor’s credibility. However, the accessibility and reach of social media combine to allow virtually anyone to spread information online. Things have gotten even more complicated with the increasing availability of AI-based video and picture tools. These products can create people’s faces from scratch or swap them. That means individuals cannot necessarily believe everything they see. create people’s faces from scratch create people’s faces from scratch However, a connected problem is that far too few internet users take the time to check facts and get the whole picture. Additionally, if people can push content far and wide, it greatly increases the chances of the masses seeing it. Hacker-Activists Disrupting Websites and Infrastructure Most cyber militias do not solely operate by publishing or creating content on a large scale that may not be wholly truthful or trustworthy. Instead, they also plan coordinated hacks that make websites or online services inoperable. Since so many essential parts of daily activities also have online components, hackers have disrupted those, too. Ukraine has one of the most recent examples of a cyber militia, with many volunteers joining its forces from all over the world. In July 2024, this group collectively targeted numerous Russian banks and ATMs, with the effects spreading to many payment systems and financial apps. effects spreading to many payment systems effects spreading to many payment systems Some hacktivists also plan their actions to ensure ripple effects across some industries that are not historically well-prepared to defend against cyberattacks. One example came when online activists targeted universities in the United Kingdom for their support of the Israeli government’s actions against the Palestinians. Most people know that the healthcare industry is a frequent attack target, and many decision-makers have responded accordingly. However, many educational institutions still have significant room for improvement, and hackers capitalize on that. Plus, many college campuses are like miniature cities, featuring branded eateries, convenience stores, health services offices, and more. A well-orchestrated cyberattack can go far beyond canceled classes. Ransomware demands given to higher education entities can surpass $300,000 on average , emphasizing the tremendous associated expenses for an ill-prepared organization. can surpass $300,000 on average can surpass $300,000 on average Inspiring Transitions From Behind Screens to on the Streets Although some cyber militias only feature people who make impacts while sitting at their keyboards, some efforts have caused a shift whereby some participants realized they must go beyond that kind of activism and populate public spaces. One reason for this is that some individuals are eager to take part but need help figuring out how to get started. The internet can connect them to the necessary resources, help them see how specific protest topics relate to their lives, and inspire them to join the crowds of those standing up for causes. For example, earlier in 2024, Kenyans protested against a controversial tax bill. Although those events began in the capital city, they quickly spread to other parts of the country. The internet was a large part of why that progression occurred. Someone with a background in internet mobilization and activism explained how the online component was instrumental in reaching marginalized groups. Additionally, the internet and various associated technologies have increased the speed at which people can create content and how effectively they can engage others. the online component was instrumental in the online component was instrumental in Another related aspect concerns the facilitation of online crowdfunding through dedicated portals. Some interested parties who are committed to the respective causes cannot feasibly attend in-person protests, even if the internet initially interests them. However, it is easy to send online payments to support causes and help participants obtain the supplies needed for the desired impact. Actions Can Occur Beyond Battlefields Most traditional discussions of militias relate to groups of citizens who come together to support official militaries and supplement their efforts. Conversely, militias can also rise when people want to oppose the military or government. These things remain valid, but the modern difference is that the internet and devices that connect to it have become powerful tools for getting heard and noticed during times of increasing upheaval.

The Rise of Cyber Militias

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Authors:
(1) Dorian W. P. Amaral, Department of Physics and Astronomy, Rice University and These authors contributed approximately equally to this work;
(2) Mudit Jain, Department of Physics and Astronomy, Rice University, Theoretical Particle Physics and Cosmology, King’s College London and These authors contributed approximately equally to this work;
(3) Mustafa A. Amin, Department of Physics and Astronomy, Rice University;
(4) Christopher Tunnell, Department of Physics and Astronomy, Rice University. Table of Links Abstract and 1 Introduction 2 Calculating the Stochastic Wave Vector Dark Matter Signal 2.1 The Dark Photon Field 2.2 The Detector Signal 3 Statistical Analysis and 3.1 Signal Likelihood 3.2 Projected Exclusions 4 Application to Accelerometer Studies 4.1 Recasting Generalised Limits onto B − L Dark Matter 5 Future Directions 6 Conclusions, Acknowledgments, and References A Equipartition between Longitudinal and Transverse Modes B Derivation of Marginal Likelihood with Stochastic Field Amplitude C Covariance Matrix D The Case of the Gradient of a Scalar 3.2 Projected Exclusions To derive our limits, we construct the one-sided log-likelihood-ratio test statistic, defined as where βˆ is that value of β which maximises the likelihood given the observed data set p, characterising the best-fit model. This statistic is defined as a piecewise function as we only expect excess signals to be disfavoured when excluding a value of β in a one-sided test. This corresponds to values of β greater than the best-fit value. Values below this are deemed under-fluctuations and considered consistent with observation. This statistic tells us how consistent the data are with a signal defined by β compared to the best-fit model, with zero representing perfect consistency and large values indicating high inconsistency. Ultimately, we compute 90% CL limits (αconf = 0.90) via a series of Monte Carlo (MC) simulations, following the above procedure in each MC run[8]. For a given choice of β, we We show the 90% CL limit arising from our three-peak analysis in Fig. 4. Also shown are the corresponding results from two single-peak analyses focusing solely on the Compton and either one of the sum or difference peaks. These results follow the same MC procedure as above but take as the full likelihood only the Compton or the sum/difference likelihood given in Eq. (3.2). We see that the three-peak analysis produces a limit that is largely latitude-independent, rising slightly towards the pole. This is because the sensitivity axis at this latitude only has a component parallel to the Earth’s rotation axis and is thus only able to pick out the Compton peak. This latitude-independent limit is in contrast with the analyses that focus on only single peaks, which are both highly sensitive to where the experiment is placed. For the study focusing on the Compton peak, the constraining power is optimal at the pole, where all of the power is contained in the Compton frequency bin, and it rapidly declines towards the equator, where the Compton peak disappears. Note that this and the three-peak results join at this point, with no difference between the approaches. Conversely, for an analysis focusing on one of the sum or difference peaks, the situation is the opposite. In this case, the results of this and the three-peak methods do not converge since half the power is contained in a single one of the sum or difference peaks at the equator; the threepeak analysis captures all of this power, whereas the single-peak analysis misses half of the power. Thus, the strength of our analysis is that the constraining power is retained no matter where an experiment is placed, such that its latitude is rendered largely irrelevant from the viewpoint of constraining a ULDM signal. We emphasize that the interpretation of Fig. 4 is as a set of exclusion lines whereby background pseudodata is generated and the assumed DM signal strength is constrained. The key point is that the level of this constraint depends on the assumption one makes on the nature of the DM signal given a non-detection. Taking this signal to be only a single peak in Fourier space then leads to constraints that are generally dependent on the latitude of the experiment, rapidly weakening towards latitude extremes. On the other hand, employing the full signal model consisting of three peaks yields stronger constraints that are almost independent of the experiment placement. Throughout the above analysis, we assumed that the sensitivity axis pointed in the zenith direction. However, we can relax this assumption and consider what our results would look like if this axis pointed in some different direction, say for instance directions perpendicular to the zenith—namely, the East/West and North/South directions[9]. If North/South-pointing, all of the curves in Fig. 4 would be flipped about the line ϕ = 45◦ . While the strongest limit for the Compton peak would now occur at the equator instead of the pole (and vice versa for both the sum and difference peaks), crucially we would still retain a largely latitude-independent constraint for our three-peak analysis. This is because, throughout the experiment, the directionality of the detector makes a cone, making it sensitive to the vector DM power in all the three directions. If, instead, the axis pointed towards the East/West, we would only see the sum and the difference peaks. This is because, throughout the experimental expedition, the directionality of the detector is restricted to lie on a plane (which would necessarily be perpendicular to the rotation axis of the Earth). Therefore, it is always insensitive to the power contained across the perpendicular direction, which is tied to the standalone Compton peak. One final possibility is when the directionality of the detector traces out a line throughout the experiment. This is only possible when it points parallel to the Earth’s rotation axis (at any given latitude). In this case, we would naturally be oblivious to the Earth’s rotation and hence to the sum and difference peaks, and we would only be able to resolve the Compton peak. In summary, the best-case scenario is when the detector’s sensitivity axis traces out a cone. In this case, we capture all the three peaks since we are sensitive to the vector DM power across all three directions (Earth’s rotation axis and the two orthogonal directions). This paper is available on arxiv under CC BY 4.0 DEED license. [8] While asymptotic formulae exist for computing exclusion limits, we have opted for an MC approach to ensure proper coverage [81]. Since we are following a hybrid frequentist-Bayesian approach, we found this to be an especially pertinent check. Authors: (1) Dorian W. P. Amaral, Department of Physics and Astronomy, Rice University and These authors contributed approximately equally to this work; (2) Mudit Jain, Department of Physics and Astronomy, Rice University, Theoretical Particle Physics and Cosmology, King’s College London and These authors contributed approximately equally to this work; (3) Mustafa A. Amin, Department of Physics and Astronomy, Rice University; (4) Christopher Tunnell, Department of Physics and Astronomy, Rice University. Authors: Authors: (1) Dorian W. P. Amaral, Department of Physics and Astronomy, Rice University and These authors contributed approximately equally to this work; (2) Mudit Jain, Department of Physics and Astronomy, Rice University, Theoretical Particle Physics and Cosmology, King’s College London and These authors contributed approximately equally to this work; (3) Mustafa A. Amin, Department of Physics and Astronomy, Rice University; (4) Christopher Tunnell, Department of Physics and Astronomy, Rice University. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Calculating the Stochastic Wave Vector Dark Matter Signal 2.1 The Dark Photon Field 2.1 The Dark Photon Field 2.2 The Detector Signal 2.2 The Detector Signal 3 Statistical Analysis and 3.1 Signal Likelihood 3 Statistical Analysis and 3.1 Signal Likelihood 3.2 Projected Exclusions 3.2 Projected Exclusions 4 Application to Accelerometer Studies 4 Application to Accelerometer Studies 4.1 Recasting Generalised Limits onto B − L Dark Matter 4.1 Recasting Generalised Limits onto B − L Dark Matter 5 Future Directions 5 Future Directions 6 Conclusions, Acknowledgments, and References 6 Conclusions, Acknowledgments, and References A Equipartition between Longitudinal and Transverse Modes A Equipartition between Longitudinal and Transverse Modes B Derivation of Marginal Likelihood with Stochastic Field Amplitude B Derivation of Marginal Likelihood with Stochastic Field Amplitude C Covariance Matrix C Covariance Matrix D The Case of the Gradient of a Scalar D The Case of the Gradient of a Scalar 3.2 Projected Exclusions To derive our limits, we construct the one-sided log-likelihood-ratio test statistic, defined as where βˆ is that value of β which maximises the likelihood given the observed data set p, characterising the best-fit model. This statistic is defined as a piecewise function as we only expect excess signals to be disfavoured when excluding a value of β in a one-sided test. This corresponds to values of β greater than the best-fit value. Values below this are deemed under-fluctuations and considered consistent with observation. This statistic tells us how consistent the data are with a signal defined by β compared to the best-fit model, with zero representing perfect consistency and large values indicating high inconsistency. Ultimately, we compute 90% CL limits (αconf = 0.90) via a series of Monte Carlo (MC) simulations, following the above procedure in each MC run[8]. For a given choice of β, we We show the 90% CL limit arising from our three-peak analysis in Fig. 4. Also shown are the corresponding results from two single-peak analyses focusing solely on the Compton and either one of the sum or difference peaks. These results follow the same MC procedure as above but take as the full likelihood only the Compton or the sum/difference likelihood given in Eq. (3.2). We see that the three-peak analysis produces a limit that is largely latitude-independent, rising slightly towards the pole. This is because the sensitivity axis at this latitude only has a component parallel to the Earth’s rotation axis and is thus only able to pick out the Compton peak. This latitude-independent limit is in contrast with the analyses that focus on only single peaks, which are both highly sensitive to where the experiment is placed. For the study focusing on the Compton peak, the constraining power is optimal at the pole, where all of the power is contained in the Compton frequency bin, and it rapidly declines towards the equator, where the Compton peak disappears. Note that this and the three-peak results join at this point, with no difference between the approaches. Conversely, for an analysis focusing on one of the sum or difference peaks, the situation is the opposite. In this case, the results of this and the three-peak methods do not converge since half the power is contained in a single one of the sum or difference peaks at the equator; the threepeak analysis captures all of this power, whereas the single-peak analysis misses half of the power. Thus, the strength of our analysis is that the constraining power is retained no matter where an experiment is placed, such that its latitude is rendered largely irrelevant from the viewpoint of constraining a ULDM signal. We emphasize that the interpretation of Fig. 4 is as a set of exclusion lines whereby background pseudodata is generated and the assumed DM signal strength is constrained. The key point is that the level of this constraint depends on the assumption one makes on the nature of the DM signal given a non-detection. Taking this signal to be only a single peak in Fourier space then leads to constraints that are generally dependent on the latitude of the experiment, rapidly weakening towards latitude extremes. On the other hand, employing the full signal model consisting of three peaks yields stronger constraints that are almost independent of the experiment placement. Throughout the above analysis, we assumed that the sensitivity axis pointed in the zenith direction. However, we can relax this assumption and consider what our results would look like if this axis pointed in some different direction, say for instance directions perpendicular to the zenith—namely, the East/West and North/South directions[9]. If North/South-pointing, all of the curves in Fig. 4 would be flipped about the line ϕ = 45◦ . While the strongest limit for the Compton peak would now occur at the equator instead of the pole (and vice versa for both the sum and difference peaks), crucially we would still retain a largely latitude-independent constraint for our three-peak analysis. This is because, throughout the experiment, the directionality of the detector makes a cone, making it sensitive to the vector DM power in all the three directions. If, instead, the axis pointed towards the East/West, we would only see the sum and the difference peaks. This is because, throughout the experimental expedition, the directionality of the detector is restricted to lie on a plane (which would necessarily be perpendicular to the rotation axis of the Earth). Therefore, it is always insensitive to the power contained across the perpendicular direction, which is tied to the standalone Compton peak. One final possibility is when the directionality of the detector traces out a line throughout the experiment. This is only possible when it points parallel to the Earth’s rotation axis (at any given latitude). In this case, we would naturally be oblivious to the Earth’s rotation and hence to the sum and difference peaks, and we would only be able to resolve the Compton peak. In summary, the best-case scenario is when the detector’s sensitivity axis traces out a cone. In this case, we capture all the three peaks since we are sensitive to the vector DM power across all three directions (Earth’s rotation axis and the two orthogonal directions). This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv [8] While asymptotic formulae exist for computing exclusion limits, we have opted for an MC approach to ensure proper coverage [81]. Since we are following a hybrid frequentist-Bayesian approach, we found this to be an especially pertinent check.

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