Metal retreat from last session’s five-month peak as the dollar and treasury yields strengthen at the start of data-heavy week

Deif’s deception: Hamas’s hidden assault blueprint

Leeds United already have the perfect blueprint when it comes to a successful loan spell from their Championship title winning campaign under Marcelo Bielsa. No - it's not Jean-Kevin Augustin. Ben White actually tops the list of most influential young ...

Leeds United have perfect blueprint to follow after January transfer window plan laid out

Here is our proven marketing blueprint for taking a SaaS business to the next level. Taking a SaaS small business to the next level requires a better understanding of your existing customers and ...

A Marketing Blueprint For Scaling Your Small SaaS Business Effectively

Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching billions of people worldwide every day. Reuters provides business, financial ...

Blueprint Stats Inc.

Majid Al Futtaim, the leading shopping mall, communities, retail and leisure pioneer across the Middle East, Africa and Asia, recently announced the winners of the second edition of its Launchpad Accelerator Programme in collaboration with AstroLabs ...

Majid Al Futtaim announces winners of the second edition of launchpad accelerator programme

Manchester United will reportedly have their Old Trafford stadium expanded to a 90,000 capacity if Sir Jim Ratcliffe completes a deal to buy 25 per cent of the club. The billionaire looks set to ...

Man Utd will get Old Trafford expansion under Jim Ratcliffe as INEOS blueprint outlined

Thus, we introduced the Launchpad Accelerator Programme, alongside prominent partners that shared the same vision,” Joe Abi Akl, Chief Corporate Development Officer at Majid Al Futtaim - Holding ...

This deal is also a blueprint for Seider should he and the Red Wings talk about a lengthy extension. Seider certainly has more pro experience than Power, with over 160 NHL games and nearly 300 ...

Red Wings’ Seider Has Contract Blueprint After Power’s Extension

Wall Street better start paying close attention, because China’s drawing up new blueprints to save its plummeting stock market. As the numbers roll in, it’s evident that China’s mammoth economy is teetering. And for those who aren’t savvy with fina ...

Wall Street, take note: China’s new blueprint to rescue stocks

Initiated by the French Embassy in Nigeria through the French Institute in Nigeria and Creation Africa, the LagosXParis-Fashion & Design Accelerator is a created as a launchpad for emerging creatives.

LagosXParis Accelerator As Launchpad for Designers, Fashion Entrepreneurs

Blooprint Labs

blooprint

Amidst the vibrant landscape of DeFi, project founders are struggling to break through due to a lack of resources. In response to this ongoing issue, is taking on the challenge: a launchpad platform aimed at bridging the resource gap for Web3 projects. Blooprint Labs Bridging the Founder-Investor Gap Conventional early-stage funding methods often fall short in supporting Web3 projects, mainly due to a lack of incentive structure, flexibility, and a comprehensive understanding of the crypto sphere. This inevitably creates a disconnect between potential investors and promising projects. This problem is particularly challenging for the average crypto investor, who may lack the specialized knowledge required to make informed decisions. The overall lack of transparency and regulation within the Web3 industry adds to the hesitation in backing projects without a well-established track record. Getting the right resources to the next big founders in Web3 is precisely where Blooprint aims to make a meaningful difference. @Kade_Greenland Inside Blooprint's Trailblazing Solution Blooprint's launchpad offers an all-encompassing ecosystem integration, customizable vesting schedules, amplified staking rewards, and unparalleled support for various cryptocurrencies. This approach presents crypto investors with an exceptional opportunity to gain early access to promising projects and diversify their portfolios. Conversely, project founders benefit from increased visibility, access to funds, and a community of passionate supporters. At the core of Blooprint's ecosystem lies the $BLOO token, serving as the backbone for staking, governance, incentives, and platform transactions. A Paradigm-Shifting Grant Offering In a bold and visionary move, Blooprint has committed to financing the future of Web3 by providing a generous for the most outstanding and innovative Web3 projects. Remarkably, this grant is available even to founders who have yet to launch their products. $100K grant This forward-thinking approach empowers early-stage developers to compete alongside established projects. To further foster innovation, Blooprint streamlines the application and disbursement process for its grant program, ensuring transparency and efficiency. Through Blooprint's unwavering dedication, the future of Web3 shines brighter than ever. Highlighting the Standout Features of the Blooprint Launchpad The Blooprint Launchpad stands out with its array of unique features: Built-in automation ensures clear token distribution through cliff and vesting mechanisms. Verified partner network offers comprehensive end-to-end support for projects. On-chain activities guarantee maximum transparency and integrity. The platform offers a combination of traditional and buyer-demand IDOs, rewarding early investors. Users can conveniently access their IDO tokens through online claiming as soon as they become available. . Make sure to always DYOR and seek communities that support and encourage a deeper understanding of the Risk:Return equation. Investment in crypto projects is inherently risky Ready To Launch Blooprint's launchpad presents an enticing solution to the enduring challenges faced by Web2 and Web3 founders. By delivering a decentralized platform that connects them with investors and their communities, Blooprint opens up new possibilities. For Web3 founders or anyone involved in innovative ventures within the Web3 space, don't miss out on the chance to explore Blooprint's $100k grant giveaway. Check out their or delve into their for a more comprehensive understanding of what the team at Blooprint are buidling. website whitepaper

Blooprint: A Look at the New Ethereum Launchpad Giving $100k To Founders

Blooprint: una mirada a la nueva plataforma de lanzamiento de Ethereum que otorga $ 100k a los fundadores

Blooprint : Un regard sur le nouveau Launchpad Ethereum donnant 100 000 $ aux fondateurs

ब्लूप्रिंट: संस्थापकों को $100k देने वाले नए एथेरियम लॉन्चपैड पर एक नज़र

ブループリント: 創設者に 10 万ドルを寄付する新しいイーサリアムローンチパッドの概要

Blooprint: Uma olhada na nova barra de lançamento do Ethereum que oferece US$ 100 mil aos fundadores

Blooprint: Xem xét Launchpad Ethereum mới Trao 100 nghìn đô la cho những người sáng lập

Blooprint：看看新的以太坊 Launchpad 向创始人捐赠 10 万美元

The Case Study Blueprint: How to Narrow Down on What Matters the Most

There is a general consensus about Telegram’s potential to foster mass adoption. But do you know that Notcoin and UXLINK are two of the leading breakout projects built on the social messaging app that has brought significant attention to it? This article sheds light on the  mass adoption strategy that has enabled UXLINK to create a social infrastructure for decentralized apps and millions of users within the Telegram ecosystem. This strategy is none other than the relatively new LINK-TO-EARN gameplay which, judging by the onboarding and retention of millions of users, can be considered as an engine of social growth in the web3 landscape. Emphasizing Telegram’s role in this growth story is actually stating the obvious. After all, its support for decentralization, its crypto payment integration, and its bot integration have facilitated the seamless onboarding of millions of users to web3. Additionally, its vast user base not only makes it one of the largest social messaging apps on the plane, but also the largest crypto hub on the planet. Its ability to house some of the leading and successful crypto projects from memecoins to to-Earn projects proves the point that the path to mass adoption must be smooth with top-notch user experience and must have a strong utility connected to a real-world purpose. This offers some valuable insight into why many to-Earn Crypto projects are springing up every day on the platform. For context: Similar to other to-earn crypto projects on Telegram such as Notcoin, TapSwap, Hamster Combat, UXLINK's ability to leverage Telegram's social infrastructure has helped to drive its user engagement, and it is the reason why it is currently home to over 1000,000 communities within its ecosystem. For a clearer picture: In a recent comparative study of mass adoption strategies in web3, (which I republished on HackerNoon) it was reported: UXLINK boasts over 500,000 daily active users, with respective figures of 574,000, 1 million, and 3.8 million for 24 hours, 7 days, and 30 days, closely matching official disclosures., thanks to the Telegram and it's LINK-TO-EARN GAMEPLAY. Link-To-Earn Incentive Model Link-to-earn is a relatively new incentive-based user engagement strategy in web3. It closely mirrors traditional affiliate marketing where companies promote their goods and services by paying commissions for online referrals. The emergence of blockchain technology has also witnessed the rise of link-to-earn platforms providing real-time value to businesses through purpose-built  referral systems and incentivization. In other words, blockchain and cryptocurrencies, have significantly contributed to the development of link-to-earn platforms, enabling them to create financial incentives, while offering such advantages of blockchain as transparency, security, and decentralization. At the heart of this economic model is establishing a value-based connection between individuals and businesses seeking to expand their reach. As a purpose-built platform, it facilitates that connection enabling individual users to earn income from referrals, while maintaining a strong emphasis on user engagement. Origin of The Link To Earn Model on Telegram The Link to earn model is an innovation of INVITE, a decentralized app reputed to be the largest social growth engine within the Telegram and TON ecosystems. In other words, The platform introduced the innovative “LINK TO EARN” mechanism, which has been instrumental in fostering social growth and has successfully supported over 50 partners. As a decentralized application (Dapp) within the UXLINK ecosystem, INVITE utilizes UXLINK for its infrastructure. INVITE, as a pioneering Web3 community project, recently collaborated with Gate Exchange, for the commencement of $INVITE token trading on August 2. INVITE stands out as a leading social growth tool within the Telegram ecosystem, boasting the support of a robust community of 9 million members and leveraging UXLINK as its social infrastructure. With community members spanning over 100 countries and territories, the fair launch of its native token, $INVITE, will take place on the TON blockchain. Its native token, $INVITE, plays a crucial role in the incentive system of the INVITE Dapp, endowing its holders with governance and voting rights, and is exclusively issued on the TON blockchain. With a total supply of $INVITE tokens capped at 1 billion, it has allocated 80% to mining, 5% to project development, 5% to its community and 10% to its ecosystem funds. Features of Link-to-earn Platforms It is safe to say that the LiLink-to-earn model seeks to bridge the gap between web3 and social media because of its for user engagement and distribution incentives as rewards. This usually implies that Link-to-earn platforms must have strong fundamentals such as Simplified UX design, User-Centric approach, Crypto payment integration, etc. Simplified UX Building on Telegram helps to facilitate the easy onboarding of users to the platforms. With this tool, users don't have to go through the hassle of setting up a crypto wallet. For a Link-to-earn platform to succeed in the long term, it's necessary to focus on improving user experience. User-Centric Approach Link-to-earn platforms leverage decentralization to provide data ownership and avoid any form of centralization. Incentivization The bedrock of every to-Earn Crypto project is the incentive they distribute to their users. This system is what facilitates user engagement and growth over time. In most cases, tokens are distributed as rewards for the completion  of specific tasks. User Engagement What makes to-Earn projects different from crypto airdrops is their focus on growing their user base. While crypto airdrops are designed to raise awareness about a project, users are directly tasked with objectives that are to be accomplished for token rewards. Challenges Facing To-Earn Models The question of whether To-Earn models are sustainable depends on how much growth they record in the long run. There are issues of user retention, crypto regulation, utility, etc. Growing a strong base or reaching consistent growth projections requires an innovative approach. To-Earn platforms must be able to create additional value and resources that appeal to their user base. It is equally important for them to attain a high level of compliance with local regulations. And finally, incentivizing users is never enough. There has to be a utility-based approach to grow sustainably over time. This usually involves creating real-world use cases. Conclusion Telegram is fast becoming a cornerstone for mass adoption in the crypto world with the emergence of vast crypto communities ranging from to-earn platforms to memecoin communities. Most especially, it has supported the rise of to-earn platforms such as UXLINK, TapSwap, Notcoin, etc. This success story exemplifies that the ongoing race to mass adoption of web3 must incorporate a simplified user experience, a real-world utility, a reward system, and a high degree of regulatory compliance. There is a general consensus about Telegram’s potential to foster mass adoption. But do you know that Notcoin and UXLINK are two of the leading breakout projects built on the social messaging app that has brought significant attention to it? This article sheds light on the  mass adoption strategy that has enabled UXLINK to create a social infrastructure for decentralized apps and millions of users within the Telegram ecosystem. This strategy is none other than the relatively new LINK-TO-EARN gameplay which, judging by the onboarding and retention of millions of users, can be considered as an engine of social growth in the web3 landscape. Emphasizing Telegram’s role in this growth story is actually stating the obvious. After all, its support for decentralization, its crypto payment integration, and its bot integration have facilitated the seamless onboarding of millions of users to web3. Additionally, its vast user base not only makes it one of the largest social messaging apps on the plane, but also the largest crypto hub on the planet. Its ability to house some of the leading and successful crypto projects from memecoins to to-Earn projects proves the point that the path to mass adoption must be smooth with top-notch user experience and must have a strong utility connected to a real-world purpose. This offers some valuable insight into why many to-Earn Crypto projects are springing up every day on the platform. For context: Similar to other to-earn crypto projects on Telegram such as Notcoin, TapSwap, Hamster Combat, UXLINK's ability to leverage Telegram's social infrastructure has helped to drive its user engagement, and it is the reason why it is currently home to over 1000,000 communities within its ecosystem. For a clearer picture: In a recent comparative study of mass adoption strategies in web3 , (which I republished on HackerNoon) it was reported: a recent comparative study of mass adoption strategies in web3 UXLINK boasts over 500,000 daily active users, with respective figures of 574,000, 1 million, and 3.8 million for 24 hours, 7 days, and 30 days, closely matching official disclosures., thanks to the Telegram and it's LINK-TO-EARN GAMEPLAY. UXLINK boasts over 500,000 daily active users, with respective figures of 574,000, 1 million, and 3.8 million for 24 hours, 7 days, and 30 days, closely matching official disclosures., thanks to the Telegram and it's LINK-TO-EARN GAMEPLAY. Link-To-Earn Incentive Model Link-to-earn is a relatively new incentive-based user engagement strategy in web3. It closely mirrors traditional affiliate marketing where companies promote their goods and services by paying commissions for online referrals. The emergence of blockchain technology has also witnessed the rise of link-to-earn platforms providing real-time value to businesses through purpose-built  referral systems and incentivization. In other words, blockchain and cryptocurrencies, have significantly contributed to the development of link-to-earn platforms, enabling them to create financial incentives, while offering such advantages of blockchain as transparency, security, and decentralization. At the heart of this economic model is establishing a value-based connection between individuals and businesses seeking to expand their reach. As a purpose-built platform, it facilitates that connection enabling individual users to earn income from referrals, while maintaining a strong emphasis on user engagement. Origin of The Link To Earn Model on Telegram The Link to earn model is an innovation of INVITE, a decentralized app reputed to be the largest social growth engine within the Telegram and TON ecosystems. In other words, The platform introduced the innovative “LINK TO EARN” mechanism, which has been instrumental in fostering social growth and has successfully supported over 50 partners. As a decentralized application (Dapp) within the UXLINK ecosystem, INVITE utilizes UXLINK for its infrastructure. INVITE, as a pioneering Web3 community project, recently collaborated with Gate Exchange, for the commencement of $INVITE token trading on August 2. INVITE stands out as a leading social growth tool within the Telegram ecosystem, boasting the support of a robust community of 9 million members and leveraging UXLINK as its social infrastructure. With community members spanning over 100 countries and territories, the fair launch of its native token, $INVITE, will take place on the TON blockchain. Its native token, $INVITE, plays a crucial role in the incentive system of the INVITE Dapp, endowing its holders with governance and voting rights, and is exclusively issued on the TON blockchain. With a total supply of $INVITE tokens capped at 1 billion, it has allocated 80% to mining, 5% to project development, 5% to its community and 10% to its ecosystem funds. Features of Link-to-earn Platforms It is safe to say that the LiLink-to-earn model seeks to bridge the gap between web3 and social media because of its for user engagement and distribution incentives as rewards. This usually implies that Link-to-earn platforms must have strong fundamentals such as Simplified UX design, User-Centric approach, Crypto payment integration, etc. Simplified UX Building on Telegram helps to facilitate the easy onboarding of users to the platforms. With this tool, users don't have to go through the hassle of setting up a crypto wallet. For a Link-to-earn platform to succeed in the long term, it's necessary to focus on improving user experience. User-Centric Approach Link-to-earn platforms leverage decentralization to provide data ownership and avoid any form of centralization. Incentivization The bedrock of every to-Earn Crypto project is the incentive they distribute to their users. This system is what facilitates user engagement and growth over time. In most cases, tokens are distributed as rewards for the completion  of specific tasks. User Engagement What makes to-Earn projects different from crypto airdrops is their focus on growing their user base. While crypto airdrops are designed to raise awareness about a project, users are directly tasked with objectives that are to be accomplished for token rewards. Challenges Facing To-Earn Models The question of whether To-Earn models are sustainable depends on how much growth they record in the long run. There are issues of user retention, crypto regulation, utility, etc. Growing a strong base or reaching consistent growth projections requires an innovative approach. To-Earn platforms must be able to create additional value and resources that appeal to their user base. It is equally important for them to attain a high level of compliance with local regulations. And finally, incentivizing users is never enough. There has to be a utility-based approach to grow sustainably over time. This usually involves creating real-world use cases. Conclusion Telegram is fast becoming a cornerstone for mass adoption in the crypto world with the emergence of vast crypto communities ranging from to-earn platforms to memecoin communities. Most especially, it has supported the rise of to-earn platforms such as UXLINK, TapSwap, Notcoin, etc. This success story exemplifies that the ongoing race to mass adoption of web3 must incorporate a simplified user experience, a real-world utility, a reward system, and a high degree of regulatory compliance.

Link-To-Earn Incentive Model: A Blueprint For Mass Adoption? 

Companies that leverage advanced technologies like Artificial Intelligence (AI) and cloud computing are being watched as industry leaders -- especially by companies that are ready to leverage new tech. Crayon, a global leader in IT optimization and AI services, has helped countless organizations navigate the complexities of digital transformation and achieve significant business outcomes. One of the key leaders driving Crayon's success is Aaron Sandeen, Executive Leader and VP of Technical Services. With extensive experience in the technology sector, Aaron’s expertise spans across AI integration, cloud optimization, and strategic IT consulting. His leadership and vision have positioned the company as a trusted advisor in the tech industry. Crayon is recognized as a leader in integrating generative AI into workplace technologies. Can you share a specific example where your AI solutions have significantly transformed a client’s operations? What were the challenges, and how did your innovative approach address them? Generative AI is the hot topic with customers right now! Although AI and Machine Learning (ML) are not new concepts for businesses, they are often associated with unattainable, lengthy, and expensive IT projects. Many times, businesses don’t really know how to use or implement projects like these. GenAI has brought the AI/ML game to the masses. Crayon has a 10+ year history of partnering with customers to deliver production AI & ML solutions, and over the past 18 months, we’ve helped dozens and dozens of customers implement GenAI solutions that drive impact. Recently, we partnered with a consumer goods company experiencing massive organic growth and new brand acquisitions. Such rapid success can cause chaos in managing brands, products, descriptions, media assets, offers, pricing, distribution channels, and more. GenAI allows for the writing of one product description and a system that leverages our customer's branding to match the description to dozens of marketplaces where they do business. Instead of repetitively writing thousands of different descriptions and corresponding images necessary to meet the unique requirements of all distribution partners, GenAI can do the heavy lifting. This is just one example of practical applications for GenAI! With your robust expertise in cloud services, including multicloud solutions from Microsoft and AWS, how does Crayon approach cloud optimization differently than other tech consultants? What strategies have you found most effective in helping businesses achieve seamless integration and enhanced productivity? Crayon partners with leaders to understand their business needs, prioritize impactful use cases, and leverage capabilities to deliver value. Using cloud capabilities is table stakes to running their business effectively. We help operationalize these capabilities while identifying cost savings within their existing IT spending to fund other innovative capabilities that AWS and Azure provide. We're obsessed with helping our customers get the most out of technology, reduce risks, and innovate. Crayon’s real value comes from developing deep relationships with our customers, increasing our intelligence about their business and their technology assets, and always advocating for what is best for them. AI readiness is crucial for businesses looking to fully integrate AI into their core operations. What does Crayon’s consultative approach involve, and how do you ensure that your clients are not just adopting but are truly ready to leverage AI for maximum impact? Crayon starts by meeting our customers where they are in the AI journey. Some leaders are new to the AI conversation while others have robust data and AI teams already driving value. We focus on understanding their business, identifying challenges, and defining specific actionable use cases—all while educating about capabilities, benefits, risks, and costs so we can make informed investment decisions together. Next is a clearly defined and focused Proof of Value (POV) project. Upon successful completion of the POV, we roll the solution into production and move to the next priority use case. Success leads to more success! Digital transformation is a significant undertaking for any organization. From your perspective as a customer-first tech leader, what are the common hurdles companies face during this transition, and how does Crayon support them through these challenges to ensure long-term business transformation? It’s hard to believe that Digital Transformation has been around for more than 20 years now! At its core, Digital Transformation is how organizations use technology to change how they operate to be more competitive and successfully scale their business. Sounds simple enough, but there are some significant challenges, including technical readiness, implementation, and change management. Crayon assists leaders in analyzing their current systems, identifying risks, maximizing cost savings, and freeing up precious resources (people and dollars) to invest in building the new! Next, we help accelerate the change by providing skilled experts to deliver high-quality projects and increase our customers’ skills through the process. Most importantly, we know that culture eats strategy for breakfast, and change is not always fun, so we focus on the impact, clear communication, and collaboration, and share what we’ve learned in helping thousands of organizations around the world. Looking ahead, what emerging technologies or industry trends do you believe will be critical for IT optimization over the next five years? How is Crayon preparing to keep its clients at the forefront of these developments? These next five years are going to be an innovator’s dream! AI is going to be better, faster, smarter, more affordable, and accessible. Essentially, it will be found everywhere. These technologies will be crucial for IT optimization, offering new levels of efficiency and innovation. More than ever before, it is going to be critical for businesses to get serious about privacy and security. As always, Crayon will continue to bring a high level of expertise to our customers, talk about the art of the possible, and make sure our customers are secure and prepared for the future. Companies that leverage advanced technologies like Artificial Intelligence (AI) and cloud computing are being watched as industry leaders -- especially by companies that are ready to leverage new tech. Crayon , a global leader in IT optimization and AI services, has helped countless organizations navigate the complexities of digital transformation and achieve significant business outcomes. Crayon One of the key leaders driving Crayon's success is Aaron Sandeen, Executive Leader and VP of Technical Services. With extensive experience in the technology sector, Aaron’s expertise spans across AI integration, cloud optimization, and strategic IT consulting. His leadership and vision have positioned the company as a trusted advisor in the tech industry. Crayon is recognized as a leader in integrating generative AI into workplace technologies. Can you share a specific example where your AI solutions have significantly transformed a client’s operations? What were the challenges, and how did your innovative approach address them? Crayon is recognized as a leader in integrating generative AI into workplace technologies. Can you share a specific example where your AI solutions have significantly transformed a client’s operations? What were the challenges, and how did your innovative approach address them? Generative AI is the hot topic with customers right now! Although AI and Machine Learning (ML) are not new concepts for businesses, they are often associated with unattainable, lengthy, and expensive IT projects. Many times, businesses don’t really know how to use or implement projects like these. GenAI has brought the AI/ML game to the masses. Crayon has a 10+ year history of partnering with customers to deliver production AI & ML solutions, and over the past 18 months, we’ve helped dozens and dozens of customers implement GenAI solutions that drive impact. Recently, we partnered with a consumer goods company experiencing massive organic growth and new brand acquisitions. Such rapid success can cause chaos in managing brands, products, descriptions, media assets, offers, pricing, distribution channels, and more. GenAI allows for the writing of one product description and a system that leverages our customer's branding to match the description to dozens of marketplaces where they do business. Instead of repetitively writing thousands of different descriptions and corresponding images necessary to meet the unique requirements of all distribution partners, GenAI can do the heavy lifting. This is just one example of practical applications for GenAI! With your robust expertise in cloud services, including multicloud solutions from Microsoft and AWS, how does Crayon approach cloud optimization differently than other tech consultants? What strategies have you found most effective in helping businesses achieve seamless integration and enhanced productivity? With your robust expertise in cloud services, including multicloud solutions from Microsoft and AWS, how does Crayon approach cloud optimization differently than other tech consultants? What strategies have you found most effective in helping businesses achieve seamless integration and enhanced productivity? Crayon partners with leaders to understand their business needs, prioritize impactful use cases, and leverage capabilities to deliver value. Using cloud capabilities is table stakes to running their business effectively. We help operationalize these capabilities while identifying cost savings within their existing IT spending to fund other innovative capabilities that AWS and Azure provide. We're obsessed with helping our customers get the most out of technology, reduce risks, and innovate. Crayon’s real value comes from developing deep relationships with our customers, increasing our intelligence about their business and their technology assets, and always advocating for what is best for them. AI readiness is crucial for businesses looking to fully integrate AI into their core operations. What does Crayon’s consultative approach involve, and how do you ensure that your clients are not just adopting but are truly ready to leverage AI for maximum impact? AI readiness is crucial for businesses looking to fully integrate AI into their core operations. What does Crayon’s consultative approach involve, and how do you ensure that your clients are not just adopting but are truly ready to leverage AI for maximum impact? Crayon starts by meeting our customers where they are in the AI journey. Some leaders are new to the AI conversation while others have robust data and AI teams already driving value. We focus on understanding their business, identifying challenges, and defining specific actionable use cases—all while educating about capabilities, benefits, risks, and costs so we can make informed investment decisions together. Next is a clearly defined and focused Proof of Value (POV) project. Upon successful completion of the POV, we roll the solution into production and move to the next priority use case. Success leads to more success! Success leads to more success! Digital transformation is a significant undertaking for any organization. From your perspective as a customer-first tech leader, what are the common hurdles companies face during this transition, and how does Crayon support them through these challenges to ensure long-term business transformation? Digital transformation is a significant undertaking for any organization. From your perspective as a customer-first tech leader, what are the common hurdles companies face during this transition, and how does Crayon support them through these challenges to ensure long-term business transformation? It’s hard to believe that Digital Transformation has been around for more than 20 years now! At its core, Digital Transformation is how organizations use technology to change how they operate to be more competitive and successfully scale their business. Sounds simple enough, but there are some significant challenges, including technical readiness, implementation, and change management. Crayon assists leaders in analyzing their current systems, identifying risks, maximizing cost savings, and freeing up precious resources (people and dollars) to invest in building the new! Next, we help accelerate the change by providing skilled experts to deliver high-quality projects and increase our customers’ skills through the process. Most importantly, we know that culture eats strategy for breakfast, and change is not always fun, so we focus on the impact, clear communication, and collaboration, and share what we’ve learned in helping thousands of organizations around the world. Most importantly, we know that culture eats strategy for breakfast, and change is not always fun, so we focus on the impact, clear communication, and collaboration, and share what we’ve learned in helping thousands of organizations around the world. Looking ahead, what emerging technologies or industry trends do you believe will be critical for IT optimization over the next five years? How is Crayon preparing to keep its clients at the forefront of these developments? Looking ahead, what emerging technologies or industry trends do you believe will be critical for IT optimization over the next five years? How is Crayon preparing to keep its clients at the forefront of these developments? These next five years are going to be an innovator’s dream! AI is going to be better, faster, smarter, more affordable, and accessible. Essentially, it will be found everywhere. These technologies will be crucial for IT optimization, offering new levels of efficiency and innovation. More than ever before, it is going to be critical for businesses to get serious about privacy and security. As always, Crayon will continue to bring a high level of expertise to our customers, talk about the art of the possible, and make sure our customers are secure and prepared for the future.

Crayon’s Blueprint: Pioneering AI and Cloud Innovations for Transformative Business Efficiency

Authors:
(1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu);
(2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu);
(3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Table of Links Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.3 Agent Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 3 THE PROPOSED FINRL FRAMEWORK In this section, we first present an overview of the FinRL framework and describe its layers. Then, we propose a training-testing-trading pipeline as a standard evaluation of the trading performance. 3.1 Overview of FinRL Framework The FinRL framework has three layers, application layer, agent layer, and environment layer, as shown in Fig. 2. • On the application layer, FinRL aims to provide hundreds of demonstrative trading tasks, serving as stepping stones for users to develop their strategies. • On the agent layer, FinRL supports fine-tuned DRL algorithms from DRL libraries in a plug-and-play manner, following the unified workflow in Fig. 1. • On the environment layer, FinRL aims to wrap historical data and live trading APIs of hundreds of markets into training environments, following the defacto standard Gym [5]. Upper-layer trading tasks can directly call DRL algorithms in the agent layer and market environments in the environment layer. The FinRL framework has the following features: • Layered architecture: The lower layer provides APIs for the upper layer, ensuring transparency. The agent layer interacts with the environment layer in an exploration-exploitation manner. Updates in each layer is independent, as long as keeping the APIs in Table 2 unchanged. • Modularity and extensibility: Each layer has modules that define self-contained functions. A user can select certain modules to implement her trading task. We reserve interfaces for users to develop new modules, e.g., adding new DRL algorithms. • Simplicity and applicability: FinRL provides benchmark trading tasks that are reproducible for users, and also enables users to customize trading tasks via simple configurations. In addition, hands-on tutorials are provided in a beginner-friendly fashion. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Authors: Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang ( Corresponding Author ), New York University Shanghai (christina.wang@nyu.edu). Corresponding Author Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.2 Application Layer 3.3 Agent Layer 3.3 Agent Layer 3.4 Environment Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 5 Ecosystem of FinRL and Conclusions, and References 3 THE PROPOSED FINRL FRAMEWORK In this section, we first present an overview of the FinRL framework and describe its layers. Then, we propose a training-testing-trading pipeline as a standard evaluation of the trading performance. 3.1 Overview of FinRL Framework The FinRL framework has three layers, application layer, agent layer, and environment layer, as shown in Fig. 2. • On the application layer, FinRL aims to provide hundreds of demonstrative trading tasks, serving as stepping stones for users to develop their strategies. • On the agent layer, FinRL supports fine-tuned DRL algorithms from DRL libraries in a plug-and-play manner, following the unified workflow in Fig. 1. • On the environment layer, FinRL aims to wrap historical data and live trading APIs of hundreds of markets into training environments, following the defacto standard Gym [5]. Upper-layer trading tasks can directly call DRL algorithms in the agent layer and market environments in the environment layer. The FinRL framework has the following features: • Layered architecture: The lower layer provides APIs for the upper layer, ensuring transparency. The agent layer interacts with the environment layer in an exploration-exploitation manner. Updates in each layer is independent, as long as keeping the APIs in Table 2 unchanged. • Layered architecture: • Modularity and extensibility: Each layer has modules that define self-contained functions. A user can select certain modules to implement her trading task. We reserve interfaces for users to develop new modules, e.g., adding new DRL algorithms. • Modularity and extensibility: • Simplicity and applicability: FinRL provides benchmark trading tasks that are reproducible for users, and also enables users to customize trading tasks via simple configurations. In addition, hands-on tutorials are provided in a beginner-friendly fashion. • Simplicity and applicability: 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

FinRL: The Blueprint for Automated Trading Strategies

U.S. Digital Policy and Cyberspace Blueprint for Global Progress

“ ” Nephrologist: Hello. We've got a set of failing kidneys. Please, how soon can we get a new set created and ready to implant? “ . Biotechician: We’ll come for the patient's biomaterials and have them ready in the next two months” That could have saved the life of a family friend after her kidneys failed 5 years ago—worst, she had a rare blood type. After being on the waiting list for 3 years undergoing excruciatingly painful dialysis, she caved into the verdict she dreaded the most. However, this article is not just a sob story of a friend. This is a revelation of how regenerative medicine, which you might have thought belonged to the fictitious world of Sci-fi, could be the savior of many lives like hers now and in the future. I’m talking about “3D Bioprinting”. The Back Story The number of humans with failing organs on the waiting list for organ transplants is overwhelming for the medical field. Organdonor.gov states that in the U.S. alone, over 103 thousand men, women, and children are on the national transplant waiting list. Every 10 minutes, one person is added to the list and 17 people die each day waiting for an organ transplant. In 2023, out of 88,551 awaiting kidney donors, only about 24% received transplants. That is in the U.S. alone, we can only try to imagine what the numbers could be in other parts of the world.. Or can we even imagine the reality in third-world countries with no structured organ donation system? Dr. Jennifer Lewis, a professor at Harvard University's Wyss Institute for Biologically Inspired Engineering, in an interview with CNN, has an insight into the problem. In her statement, she mentioned that on a yearly average, there are only around 6,000 living donors open to offering their organs and about 8,000 deceased donors who could each provide approximately 3.5 organs. Dead donors are people who die from catastrophic health events or accidents, making some of their organs salvageable before they completely stop living. However, because of such events, their organs may not be of high quality for a donation or they may not even be on the organ donor list or it may be hard to find a good match. For living donors, there is a scare as to what their life is worth, if it is the right choice to make if they are willing to let go and embrace the possible complications that may arise from donating their organs and the surgery involved - especially if the patient is not related to them. There is a two-step delirium that raises the most fear for a patient clinging onto the last thread of hope. First, finding a donor match, then hoping the patient's body doesn't reject the donated organ. And from all the premises stated above, this is a tough call. A wait list could just as well be a death row. What if it could be different? What if organs could be printed from biodata, materials, and cells of a patient instead of waiting for months to years to find a donor that would match? What if regenerative medicine is the solution staring into our eyes? A handful of medical conditions would meet their end if this could happen. Ordering a newly generated body part from the cells of the patient to replace the old one could easily be more effective and faster than organ donations. This brings us to the 3D organ bioprinting. What is 3D Bioprinting? The idea of 3D bioprinting is like that of conventional 3D printing. However, it is premised on the use of organ regenerative actions which involve the manufacturing and development of organs, tissues, and body parts such as the liver, skin, heart, eyes, bones, etc. While conventional 3D printers use computer files to extrude and create objects with complex structures, 3D bioprinters make use of bioinks containing living viable cells, biomaterials, and biomolecules to create bioartificial organs of a human. This works by assembling layer-by-layer multiple cell types, biomaterials and molecules, and other growth factors that would be a replica of the natural prototypes. In this case, it is beyond just mere perception that creating a new component for a body by using its cells is much more reliable than taking a component with a completely different cell structure from another body to replace a component in a body. This way, a patient, on-demand, can have personalized replacement body parts with a very low possibility of their body rejecting the new parts. This technology is driven by the need to find the accurate organ and tissue types that would be a match for patients who need organ replacement and is opening new avenues for future organ transplantation programs. How Does 3D Bioprinting Work? For bioprinting, every procedure starts with the biological cells of the person involved and applies the concepts of biomimetics and biomimicry. This simply means using a patient's cells to grow the needed organ. Biotechicians choose cells based on their physiology and functions. They consider the cells’ differentiation and proliferation by paying attention to features such as the cell type, size, and shape These different types of cells are rendered into a printable bioink, which involves mixing them up in materials like alginate or gelatin; before they are loaded into a nozzle. To continue, each cell is placed, layer by layer, in precise locations to form a cellular attachment and build a complex tissue that would develop the organ. For the cell's culture to grow, it is transferred to a scaffold where blood vessels are integrated into the tissue and the setup is connected to a pump that would deliver the right amount of oxygen and nutrients to keep it alive. With time, the tissue will begin to develop on its own, forming an organ that will increase both in maturity and function. This is a phase of 3D tissue engineering and although this is dramatically simplified, the process requires more technicalities only applicable to experts in the biotech field and could evolve with time. From the looks of things, 3D bioprinting is already here for good. Cases of 3D Bioprinting It is no longer a myth or a fictional idea; this regenerative medicine technology has become a reality. In this decade, research institutes, researchers, and doctors have dedicated time and resources, working actively on experimenting with organ bioprinting—some are already recording success. The First Ear Bioprint In 2022, the U.S. witnessed the implantation of a new ear on a 20-year-old lady born without her right ear. Of course, a new ear could have been artificially constructed and placed, but this time, Dr. Arturo Bonilla, a pediatric microtia surgeon, changed the rule of the game by developed out of the cartilage cells of the lady's left ear. implanting a 3D bioprinted ear Imagine multi-layered skin, cartilage, and muscle structures born out of laboratory-grown cells to form an ear. Amazing! This was a worthwhile revelation that bioprinting could change the way new body parts and organs were sourced. Ongoing Research on Bioprinting The race to find more potentially relieving 3D bioprinted tissues and organs surged even more. Still in 2022, and Dr. Michal Wszola, creator of Bionic Pancreas, revealed that some researchers in Poland were able to achieve the within a two-week window period, enabling stable blood flow in these pigs. this abstract 3D bioprint of pancreas in pigs Hope is alive as the National Institute of Health’s Advanced Research Projects Agency for Health (ARPA-H), in September 2023, awarded some Stanford researchers about to bioprint a human heart and transplant it into a pig in the next five years. $26 million in contract However, the with 4,000 kilometers of capillaries and 200 million alveoli, capable of carrying out oxygen exchange in animal models, which is a critical step towards the development of tolerable, transplantable lungs has been achieved by United Therapeutics Corporation. The goal is to have the lungs cleared for human trials within five years. 3D bioprinting of human lungs Another research institute with impressive strides is the Wake Forest Institute for Regenerative Medicine. Researchers in this institute have been able to develop the following: A skin bioprinting system for patients suffering from skin cancers, burns, and other non-healing or deprecated kin conditions. A 3D bioprinting skeletal muscle system was shown to effectively contract in rodents and enable an 80% regain of lost muscular function in an anterior leg muscle within a space of 8 weeks. Printing of tubular structures like blood vessels or hollow, non-tubular organs like a bladder. 3D biocreation of a mini-kidney and a mini-liver. The challenge for Wake Forest scientists is the creation of larger and more solid organs that can fully mimic the functions of their prototypes. This is because these large organs, like the brain and heart, have so many cells per centimeter, and there is the challenge of vascularity and nutrition. The brain is a very complex tissue that is difficult to repair or replace when damaged. However, some Oxford researchers believe that the bioprinting of stem cells can reverse brain damage and injuries. These researchers have gone on to prove this verdict by creating 3D bioprinted stem cells which developed a biomimicry of the complex structure of the human cerebral cortex, having six layers (two “deep” layers and four “upper” layers), each with its type of neuron. When the tissues were implanted into slices of mouse brains, they successfully integrated into the mouse tissue, structurally and functionally. The Problems and Ethical Considerations Surrounding the Creation of Bioprinted Body Parts and Organs As much as this concept looks like a lifesaver for many hopeless medical cases in the world today, there are still some problems this could pose. The bioprinting of organs is based on individual medical care rather than a basic universal treatment plan like that of organ donation. There is an assumption that due to its personalized medicine status, the cost of this service may just be more expensive than a public treatment plan would be, and this could prevent financially unstable people from getting access to this service. Is it safe? We can't say for sure. The 3D printing of organs and parts of the body using bioink is not considered neutrally ethical and even if it is generated from the patient's cell, there are still problematic aspects in terms of cell reprogramming, differentiation, proliferation, and of course mutation which may usher in the much-dreaded apocalypse. There is the risk of tumorigenicity, which is the property of a cell to form tumors when inoculated. While bioprinting is considered an incoming savior of the sick and deprived, this technology cannot be rushed. The efficacy of its procedures has to be tried and tested severally before it can be rolled out as clinically applicable. If this is not done, it can lead to several deaths that may be beyond control. There are also additional ethical and legal concerns related to patients' genetic information collection, which also include the storage and use of these cells. Advantages of Bioprinting and Designer Bodies Every technology has a downside, but it so happens that compared to the downsides of this technology, if it is put through all processes of long years of research and experiment with a high success rate, 3D organ bioprinting could nearly nullify the cause of concern. There are issues the bioprinting of organs and body parts would solve: The endless waiting list that could spell ‘doomsday is awaiting’. The torture that comes with getting a transplant; only for the patient's antigens to reject the organ. The need for immunosuppression to prevent organ rejection, which leaves patients at higher risk of infection. The risk of a living donor (even though willing) experiencing some possible complications that could arise during surgery. Body parts manufactured through bioprinting can be enhanced to improve performance. Bones can be made stronger and more flexible, the brain can be made smart and alert, the lungs can be made to increase oxygen efficiency in the blood, etc. In terms of cost, while critics claim that the price of bioprinted parts would be expensive, the fact remains that compared to waiting years for an organ to finally get to a patient who is at risk of losing their life any moment, this is fair. Most times these donated organs come at a very high cost (although sometimes illegal) because of the demand. However, the price of a bioprinted organ could reduce considerably when they clinically pass trials and patients wouldn't have to wait for several months, to a couple of years to get them. How close are we to the future? Brain, kidneys, muscles, skins, livers, pancreas, and so much more are in the laboratory phase of 3D experimentation. In the next 5 to 10 years, there is a high expectation of breakthroughs in these experiments, some passing clinical trials and being fully implementable. Needless to say, a few decades from now, people like Cynthia  (my late friend whose story I narrated at the beginning of this article) won't have to accept the cruel death verdict while waiting for the right organ match.

Bioprinting Organs on Demand: From Sci-fi to Reality and the Ethical Dilemma of Designer Bodies

In the dynamic world of digital products, the intersection of unit economics and visibility determines the trajectory of success. Businesses are looking for better ways to improve their growth strategy, yet, many will altogether skip the formulation of new approaches in an attempt to win customer loyalty by discounting or even selling below cost for a certain period of time. But this approach won’t position your company for long-term, stable success. Unit economics help you understand how much value you create and capture from each unit, as well as the scalability and sustainability of your business model, by showing the revenues and costs associated with each unit of your business, such as a customer, a product, or a service. But this approach won’t position your company for long-term, stable success. Unit economics help you understand how much value you create and capture from each unit, as well as the scalability and sustainability of your business model, by showing the revenues and costs associated with each unit of your business, such as a customer, a product, or a service. Positive unit economics signify that customers are ready to pay more than it costs to acquire and serve them. If that is the case – congrats! You have formulated a viable and appealing value proposition. Now, scaling this is a different story, but the goal is to increase revenues at a pace surpassing your growing costs as you expand your customer database. Now, that is a real competitive advantage. Today, SEO is the linchpin for achieving positive unit economics in web products. From overcoming the overshadowing dominance of paid channels to strategic positioning in the market, SEO becomes the driving force behind cost-effective user acquisition. How? Let’s explore down below. Niche Prominence, the Cost of Attraction, and Competitor Dynamics In this battlefield of digital visibility, securing a prominent niche position serves as the cornerstone principle of the unit economy of web products. This approach can help you prevent paid channels from eclipsing free ones. Failure to do so will result in a significant increase in the costs associated with attracting users, which will compromise your unit economics strategy. SEO helps you position your company online by keeping your organic channels effective in attracting users. Let's imagine a situation: does not invest in SEO and has a positive CPA (Cost per Acquisition to LTV Lifetime Value) ratio with contextual advertising on Google for specific queries. On the other hand, strategically invests its marketing budget in SEO and content tailored to its niche, targeting audience queries. Company A Company B At present, may be enjoying a higher return on investment from its marketing budget. However, projecting a year into the future reveals a different story. relies solely on contextual advertising, and it's crucial to bear in mind that as the niche grows, advertising rates will also rise. Company A Company A Consequently, will find itself needing to invest increasingly more in contextual advertising. Company A Meanwhile, has secured at least one position in the top 10 for key queries in its niche (let’s say, the same ones on which Company A buys displays). Company B Thus, in a year, will receive an increase in costs proportional to the growth of the bid for contextual advertising, while can strike a balance between contextual and organic reach or even reduce costs by implementing a well-thought-out content and link-building strategy. Awin and Voluum pay for traffic, while Refersion and Adtraction generate traffic for free through organic means, yielding a higher return on investment. It's also worth noting the significance of CTR, as users are becoming accustomed to paid content and increasingly ignore it. Company A Company B Consider the example in the screenshot: In the digital ecosystem, competitors are relentless in their pursuit of recognition and reach (as they should be, and so should you!). Neglecting SEO not only contributes to the dominance of paid channels but also gives competitors a strategic advantage. Competitors quickly take over by gaining recognition and reach in the marketplace. This not only affects visibility but also disrupts the unit economy, making it harder and more expensive - for you - to attract users. In this battleground of digital visibility, securing prominent positions within a niche serves as a cornerstone principle in the unit economics of web products. This approach can help you prevent paid channels from overshadowing free ones. Choosing not to do so will result in a significant increase in costs associated with attracting users, challenging your unit's economica strategy. SEO helps you position your company on the web, preserving the effectiveness of your organic channels in user acquisition. In the digital ecosystem, competitors are relentless in their pursuit of recognition and reach (as they should be, and so should you!). Neglecting SEO not only invites the dominance of paid channels but also hands competitors a strategic advantage. Competitors are quick to seize positions, gaining recognition and reach in the market. This not only impacts visibility but also disrupts unit economics by making user acquisition more arduous and expensive – for you. Strategic SEO and the Traffic Magnet Strategic SEO is a powerful magnet for organic traffic. By conducting comprehensive keyword research and understanding the competitive landscape, web products can align their content with user needs. This not only enhances product relevance but also ensures that the attracted traffic is more likely to convert. Thus, SEO becomes a catalyst for cost-efficient user acquisition and positively impacts unit economics. For example, after researching your competitors' keyword frequency and top content, you find that your competitors' most traffic-generating article is about affiliate marketing for Instagram Influencers - you can not only create competing content, but you can also get better at CustDev and roll out Instagram-friendlier features for your platform, like customized landing pages for Influencers. This way, you not only compete effectively but also use data-driven decision-making to better your product's appeal and performance in the market. This not only makes the product more relevant but also ensures that the attracted traffic is more likely to turn into conversions. Essentially, SEO becomes a driving force for cost-effective user engagement, exerting a positive influence on the overall economics of the business unit. Looking at this formula, you can see that when you start with SEO, you actually increase your marketing budget (Total Marketing Cost) and attract fewer clients, consequently causing the CPA to rise. However, your challenge is to organically scale your SEO budget while keeping your CPA at an acceptable level. After six months, you should see a dynamism in the bottom figure - due to conditionally free traffic from SEO. It will help you equalize unit economics at the moment and continue scaling SEO. If it doesn't happen - urgently reconsider your strategy. As soon as the % of organic traffic starts to dominate over paid traffic, you will fully feel the productivity of SEO for your unit economy. The Resource-Intensive Nature of SEO While SEO offers a plethora of benefits, it comes with its share of challenges. The process is resource-intensive and often time-consuming. However, my article emphasizes the importance of investing in SEO from the outset. Despite the initial demands, this investment lays the foundation for future scalability, and starting early makes subsequent scaling efforts more streamlined and cost-effective. Yet, acknowledging the resource-intensive nature of SEO is crucial. It demands a significant investment of time, effort, and expertise, and the foresight to start investing in SEO early in the product life cycle paves the way for future scalability. Although the rewards may not be immediate, starting early makes the long-term payoffs and subsequent efforts more streamlined and cost-effective. Beyond being a traffic driver, keyword tracking becomes a tool for uncovering invaluable product insights and market trends. Taking key positions for targeted queries should be a top priority for web products, aligning SEO strategies with user intent and industry demands. Navigating the Tech Landscape Tech companies, with their unique challenges, can benefit immensely from a holistic SEO strategy. Relying solely on paid advertising is insufficient. A comprehensive SEO approach is indispensable for tech companies, ensuring their products surface organically in response to relevant queries. For tech web products, having a strong presence is practically a must-have, given that it provides the most direct path to conversion. This is in contrast to mobile apps, where downloads typically originate from the app store, or high-checkout businesses, where direct sales prove to be the most effective. To Conclude From defending against paid channel dominance to serving as a cost-effective formula for customer acquisition, SEO emerges as the transformative force that can reshape the destiny of web products in the digital arena and is the linchpin to fostering a positive unit economy for web products. Choosing not to secure prominent positions within the digital landscape can put your business at risk of paid channels overshadowing free ones, subsequently inflating the cost associated with attracting users. A strategic approach, on the other hand, proves to be a potent tool for attracting organic traffic, making it a key driver for cost-effective user acquisition. Particularly for web products, optimization for relevant keywords emerges as the swiftest route to conversion, distinguishing it from the more direct sales approaches found in other business models. In essence, a well-executed SEO strategy not only secures visibility but also becomes a strategic advantage in achieving a positive unit economy for web products.

Unleashing the Power of SEO: A Blueprint for Positive Unit Economics in Web Products

Get ready for an AI earthquake! A team of UCLA researchers ( n, , , ) have dropped some major keys to AGI. It's not only the code to seriously human-sounding AI, but they've also gone and open-sourced the whole thing. @zxche @Yihe__Deng @HuizhuoY @Kaixuan_Ji_19, @QuanquanGu Now you can develop better LLMs without needing to feed it tons of new, human-annotated data. First, let's focus on the game-changer here: a self-teaching language model. This method lets a language model becoming better and better without massive amounts of new, externally curated data. teach itself, Introducing SPIN: Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models I went full deep-dive mode – read their paper (" "),  scoured the insights on forums like , , and with Google Gemini Ultra and GPT-4 Turbo – and the core concept of SPIN knocked my tech-loving metaphorical socks off: Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models HackerNews X Reddit The 'Conversation Partner' Trick Imagine starting with a language model that has mastered basic skills (let's say conversational etiquette). With SPIN, the model building a dataset from what it already knows. generates internal 'conversations,' Instant knowledge expansion! Step two involves unleashing a new model and giving it one task: spot the difference between and genuine human communication. This forces the original model to up its game, getting more and more with every response to avoid detection. machine-generated chats human-like Here's where things get interesting. They started with (already fine-tuned with ). SPIN unleashed an iterative training system with this base model, improving it exponentially without relying on tons of new externally created data. zephyr-7b-sft-full UltraChat corpus SPIN vs. Traditional AI Training (DPO): A New Champion? We usually think machine learning, particularly for these huge language models, requires boatloads of carefully curated and labeled data. methods involve humans painstakingly rating AI responses against each other for training. Not only is this labor-intensive, but it also balloons costs as a dataset grows. Direct Preference Optimization (DPO) Direct Preference Optimization (DTO) is a training method where a model is fine-tuned using a dataset of preferences, often involving human judgments that decide which of the model-generated responses are preferred. This method requires collecting new data where each piece is labeled based on these preferences, which can be resource-intensive. In contrast, SPIN utilizes , significantly reducing the need for new data. iterative self-play By the first iteration, , highlighting its efficiency and effectiveness in leveraging existing data to enhance model performance. SPIN's performance already exceeds that of DPO in most cases SPIN showcases its strength by achieving . The process of , methodically enhances the model's performance across multiple iterations, , especially on challenging benchmarks like TruthfulQA and GSM8k. on-par performance with models trained on more extensive datasets iterative training showcasing substantial improvements So, SPIN outperforms conventional training methods, including DPO, by efficiently leveraging synthetic datasets generated through self-play, without the need for additional human-annotated data. What are SPIN's Strengths and Costs? SPIN throws a curveball with its self-play dynamic. Think of it like a language model sparring with itself in a linguistic boxing ring, with each round teaching it new tricks. SPIN's data efficiency bypasses the need for new human-annotated datasets. But more importantly, it , . accelerates the improvement loop making the model increasingly adept at generating human-like text Not only does SPIN seem to match models trained on larger external datasets, but its iterative power means consistent gains as it essentially studies its own output. Mindblowing, right? Okay, Let's Talk the Elephant in the Room – COST Nous Research co-founder has a point. These big ol' language models don't get smarter for free. Iteratively re-training with SPIN involves the expensive process of Supervised Fine-Tuning (SFT) each time. @Teknium1 However, he also mentions that "I think its worth it!". Also, the long-term benefits of quicker evolution and potentially less dependency on human-annotated data outweigh the initial investment? That's the exciting question! BOOM! It's Open-Source AI Time Just yesterday, , associate professor of computer science at UCLA and director of AI research at ByteDance, announced that . This doesn't just mean code and datasets, but pre-trained models to kickstart your own AI journeys. Quanquan Gu anyone can now use the SPIN model and dataset SPIN mirrors human thought processes. By generating text that feels human, SPIN hints at the foundational elements of reasoning that future AI could do. You know how some LLM outputs feel robotic right? Well, SPIN is different. It actually mirrors the way humans think. The way it writes feels so natural, it's like a peek into how future AI might be able to reason for themselves. This isn't just about making chatbots sound nicer. It's about creating a kind of digital thinking that works like ours. That kind of AI would be so much more flexible and capable of real understanding. While SPIN is a big leap forward in making language models sound more natural, . it's easy to get excited and overestimate what it means The text it produces is impressive (you can take a look to the database), but it's important to remember that AI doesn't yet have the capacity for true independent reasoning. While SPIN isn't true , the way it mimics human-like writing demonstrates impressive advances in how AI could process and use language in the future. AGI Even so, it does suggest amazing possibilities for how AI and language might develop in the future (if you remember that we are at the beginning of the hockey stick, the future is not far from today...) The ripple effects will be huge and here's your access pass: Code: Available on : GitHub https://github.com/uclaml/SPIN Data: Hosted on , the dataset is readily accessible for those eager to apply SPIN methodologies: Hugging Face https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a… Models: Pre-trained models are also available, offering a head start for experimenting with SPIN-enhanced language models: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40… Project Page: For comprehensive insights and further information, the project page is an invaluable resource: https://uclaml.github.io/SPIN/ To sum up, its iterative, self-improving methodology is a significant advancement towards creating LLM that can engage in genuinely human-like communication. Originally shared on my . X account

AGI Blueprint? UCLA Researchers Open-Source SPIN—A Self-Improving Language Model

এজিআই ব্লুপ্রিন্ট? UCLA গবেষকরা ওপেন-সোর্স স্পিন—একটি স্ব-উন্নতিশীল ভাষা মডেল

AGI-Blaupause? UCLA-Forscher Open-Source-SPIN – ein sich selbst verbesserndes Sprachmodell

¿Plan AGI? SPIN de código abierto de investigadores de UCLA: un modelo de lenguaje que se mejora a sí mismo

Plan AGI ? SPIN open source des chercheurs de l'UCLA : un modèle linguistique auto-améliorable

एजीआई ब्लूप्रिंट? यूसीएलए शोधकर्ता ओपन-सोर्स स्पिन-एक स्व-सुधार भाषा मॉडल

AGIブループリント? UCLA の研究者がオープンソースの SPIN — 自己改善型言語モデルを公開

AGI 청사진? UCLA 연구원 오픈 소스 SPIN - 자체 개선 언어 모델

Projeto AGI? SPIN de código aberto para pesquisadores da UCLA - um modelo de linguagem que se aprimora automaticamente

Проект AGI? Исследователи Калифорнийского университета в Лос-Анджелесе SPIN с открытым исходным кодом — самоусовершенствующаяся языковая модель

AGI Planı? UCLA Araştırmacıları Açık Kaynak SPIN—Kendini Geliştiren Bir Dil Modeli

Bản thiết kế AGI? Các nhà nghiên cứu của UCLA SPIN mã nguồn mở—Mô hình ngôn ngữ tự cải thiện

AGI 蓝图？加州大学洛杉矶分校研究人员开源 SPIN——一种自我改进的语言模型

Image: Source Artificial intelligence (AI) has become one of the most popular rising technologies in the 21st century. Cryptocurrencies are also one of the most popular investments in recent years. With the rise of digital currencies fueled by AI, investing in the crypto industry has become more difficult. Some investors tend to wonder if they should invest in AI coins and how to determine the risks and rewards involved. In this article, we will discuss AI coins and provide you with a simple blueprint to rate the risks and rewards involved, explaining what AI coins are, how they work, and what to look out for before investing. Whether you're an experienced investor or just starting out, this guide will help you make informed decisions about investing in AI coins. Overview of the Basic Concept AI digital currencies (AI tokens) make use of modern AI technologies to enhance key areas of their platforms. Through applying AI algorithms and machine learning methodologies, these tokens provide unique functionality and address complicated challenges, positioning them as transformative forces in various sectors such as finance, gaming, health, and logistics. The true quality of these tokens lies in their capacity to execute procedures, enhance operational success, and provide creative solutions. For example, if AI tokens are accepted by Uber cars, it can improve the method of payment completely and introduce AI-driving cars like Uber. Similarly, finance-centric tokens can enable AI-programmed trading, maximize investment techniques, and strengthen risk management. You might ask, “How do the coins work? Are AI coins the same as ” Bitcoin and Ethereum? At their core, AI crypto coins make use of blockchain technology to create a decentralized structure for AI coins. This includes everything from developing models to executing driven tasks in a secure, transparent manner across countless industries, such as logistics and finance. They are similar to Bitcoin but more advanced. AI is data-dependent, and it keeps improving itself over time. The larger the dataset fed to it, the better it becomes at learning and predicting. On the other hand, cryptocurrency uses a concept that involves the most secure ledger possible—blockchain. To understand the risks and rewards, comprehensive research into projects for these tokens is necessary. Factors such as team competence, collaborations, technological advancements, and market demand are essential in assessing the potential success of these tokens. The Non-Fun Part of Investing Investing in these might seem like an amazing opportunity, but it's important to understand the risks involved in it. Just like any investment, there's a chance of making money or losing it, so it's crucial to carefully think through the before investing. potential downsides The value of these coins can skyrocket or crash without warning, which can mean big wins or big losses. Being prepared for this rollercoaster ride and having a solid plan to handle it is key. Another thing to watch out for are the rules and regulations. Governments are still figuring out how to deal with AI coins, and different places have different rules. Changes in the law or what the government decides to do can have a big impact on how valuable these coins could become. Keeping an eye on what's happening with the rules and understanding how it might affect your investments is really important. Image Source: Statista is also a big worry. Since they are all digital assets, they're vulnerable to hackers and cyberattacks. It's crucial to use trustworthy platforms such as , co, etc. Using two-step verification and keeping your software up-to-date can help keep your investment safe. Security Binance Bitget, And finally, there's the risk that the technology itself could become outdated. AI is always changing and improving, so what's hot today might not be so great tomorrow. Staying informed about the latest developments in AI technology can help you make smart decisions about the right token to invest in. Delving Into the Rewards Offered Exploring the potential gains of these coins is an important step in navigating the investment world. That's why investing in such projects can be quite exciting for those who are ready to weigh the risks and opportunities. To figure out if a coin could bring here's what you need to think about. First, get to know how the coin works and what real-world problem it's fixing. Find projects that are solving a problem lots of people care about, and make sure they have a strong team behind them. big rewards, Next, think about how many people might use the coin. Could it catch on with lots of different industries? Are there companies partnering up to help spread the word? Knowing how many people want the coin is super important for seeing if it'll do well. For example, if Tesla starts using a certain coin for buying cars, that coin's value could shoot up, and more people might want to invest in it. Also, check out the whole project, not just the coin itself. How does it fit into the big picture? And what does it do to get folks excited about using it, which helps it become more valuable over time? Understanding all these bits and pieces can give you a clearer picture of whether a coin has big rewards waiting for you. Checking out what the community is saying is also important. Are people excited about it? Do they believe in its potential? A strong community can make a difference in how successful a project can be. By taking the time to think about the potential rewards of the project, investors can make more informed choices and be rewarded accordingly. Always keep in mind that investing in cryptocurrencies comes with its fair share of risks, so it's always a good idea to do your research before diving into any project. Know the Team Behind the Project When thinking about jumping into any project, one thing that matters more is the team leading the project. Let's dig into why looking into the team behind the project is so crucial and how to do it right. Know their Backgrounds and Skills Take a look at the backgrounds and skills of the team members. Check where they've worked before, especially if it's on AI-related projects. And do proper research to note how familiar they are with blockchain technology, which is super important for the project to work. What People Think of Them Check out how they are perceived by the crypto community. Have they done cool stuff in the past? Check if what they've accomplished can give you a good idea of whether they can pull off their plans for the project. Look for Transparency and Communication How open and communicative is the team? Are they chatting with folks, giving updates, and listening to concerns? A team that's transparent and responsive shows they're serious about making their project work. Make Sure They're in It for the Long Haul Ensure the long-term commitment of the team. Do they have a clear roadmap, and does it suit your ideology of what a project should look like? A team that's dedicated to sticking with the project for the long run is key to keeping the project strong. Conclusion but doing proper research can help. Taking a good look at the team behind the project can help boost confidence and ensure a great investment choice. After all, the success of any project depends on having a team that knows what they're doing and can get the job done even under intense pressure to deliver. Investing in AI coins can be risky, Image: Source

Stories, News & Mentions about BLOOPRINT

Blooprint’s Stories on HackerNoon

Blooprint's News & Mentions