Latest news with #decentralizedAI
Associated Press
10 hours ago
- Business
- Associated Press
Lightchain AI Launches Final Bonus Round After Completing 15 Presale Stages and Raising $20.9M
SHREWSBURY, United Kingdom, July 06, 2025 (GLOBE NEWSWIRE) -- Lightchain AI, a next-generation decentralized AI infrastructure project, has officially entered its Final Bonus Round, following the successful completion of all 15 presale stages and raising $20.9 million in token sales. This milestone reflects strong market confidence and positions the project ahead of its anticipated mainnet launch in July 2025. The Bonus Round offers tokens at a fixed price of $0.007125, presenting a final opportunity for early participants to acquire LCAI before the transition to public trading. This phase also coincides with new ecosystem developments, including a grant initiative and upcoming developer onboarding tools. Presale Completion Signals Market Momentum Lightchain AI 's presale, which was structured across 15 progressive funding stages, reached its hard cap target with broad support from retail and strategic contributors. The structured approach ensured measured token distribution and early ecosystem growth while minimizing volatility. The platform's architecture is designed to power decentralized artificial intelligence through the Artificial Intelligence Virtual Machine (AIVM) and a proprietary Proof-of-Intelligence (PoI) consensus model. This model rewards validator nodes for completing valuable AI computations, creating a sustainable framework for network participation and data processing. Ecosystem Tools and Grants Rolling Out Following the presale, Lightchain AI is expanding its Developer Portal, which provides SDKs, APIs, and comprehensive technical documentation to enable builders to launch and scale AI-powered decentralized applications. In parallel, a $150,000 grant pool has been allocated to fund early-stage projects contributing to the Lightchain ecosystem. In a move to further promote decentralization and developer alignment, the originally designated 5% Team Allocation has been reallocated toward ecosystem growth, community incentives, and validator support. Public GitHub repositories are scheduled to go live alongside the mainnet launch to promote transparent and collaborative development. Bonus Round to Close Ahead of Mainnet With the Bonus Round now live, Lightchain AI is finalizing preparations for mainnet deployment. The round will remain open for a limited time, offering fixed pricing and early access benefits for participants, including governance opportunities, developer incentives, and validator onboarding. 'Completing 15 stages and entering the Bonus Round represents a major leap forward for Lightchain AI,' said a project spokesperson. 'We are focused on delivering a scalable and intelligent blockchain infrastructure, and this final phase allows the community to grow with us as we approach launch.' Key Dates & Participation Info Learn More or Join the Bonus Round Whitepaper Twitter/X Telegram Contact: SHAJAN SKARIA [email protected] Disclaimer: This content is provided by Lightchain statements, views, and opinions expressed in this content are solely those of the content provider and do not necessarily reflect the views of this media platform or its publisher. We do not endorse, verify, or guarantee the accuracy, completeness, or reliability of any information do not guarantee any claims, statements, or promises made in this content is for informational purposes only and should not be considered financial, investment, or trading in crypto and mining-related opportunities involves significant risks, including the potential loss of is possible to lose all your capital. These products may not be suitable for everyone, and you should ensure that you understand the risks involved. Seek independent advice if necessary. Speculate only with funds that you can afford to are strongly encouraged to conduct their own research and consult with a qualified financial advisor before making any investment decisions. However, due to the inherently speculative nature of the blockchain sector—including cryptocurrency, NFTs, and mining—complete accuracy cannot always be the media platform nor the publisher shall be held responsible for any fraudulent activities, misrepresentations, or financial losses arising from the content of this press the event of any legal claims or charges against this article, we accept no liability or does not endorse any content on this page. Legal Disclaimer: This media platform provides the content of this article on an 'as-is' basis, without any warranties or representations of any kind, express or implied. We assume no responsibility for any inaccuracies, errors, or omissions. We do not assume any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information presented herein. Any concerns, complaints, or copyright issues related to this article should be directed to the content provider mentioned above. A photo accompanying this announcement is available at:
Globe and Mail
4 days ago
- Business
- Globe and Mail
Imagen AI (IMAGE) Developer to Enable Ripple Labs Stablecoin RLUSD for Service Payments
Subtitle: RLUSD integration enhances transaction efficiency and multichain access across Imagen's AI-powered social ecosystem. Singapore, Singapore--(Newsfile Corp. - July 3, 2025) - The developer behind Imagen Network, the decentralized AI social platform, has announced plans to integrate Ripple Labs' new stablecoin, RLUSD, into its payment framework. The integration will allow users to utilize RLUSD for purchasing platform services, accessing premium AI features, and participating in governance-related staking systems. Expanding decentralized access with flexible digital payment options. To view an enhanced version of this graphic, please visit: RLUSD, Ripple's U.S. dollar-pegged stablecoin, brings high liquidity and compliance-ready infrastructure to the Web3 economy. By enabling RLUSD transactions across Imagen's ecosystem, the platform aims to streamline payments, reduce volatility for creators and communities, and provide a scalable alternative to native tokens for everyday transactions. Users will soon be able to use RLUSD to customize profiles, unlock AI creation modules, activate node-hosting features, and support community-led initiatives across Ethereum, BNB Chain, and Solana. The integration also aligns with Imagen's mission to foster a user-first decentralized economy with flexible, accessible, and secure digital tools. This move follows Imagen's growing list of stablecoin and asset-backed support, including its XRP reserve and BTC-funded infrastructure rollout. RLUSD brings added stability and utility to the Imagen ecosystem-marking another milestone in its push to make AI-powered, creator-led social interaction universally accessible. About Imagen Network Imagen Network is a decentralized social platform that blends AI content generation with blockchain infrastructure to give users creative control and data ownership. Through tools like adaptive filters and tokenized engagement, Imagen fosters a new paradigm of secure, expressive, and community-driven networking. Media Contact Dorothy Marley KaJ Labs +1 707-622-6168 media@ Social Media Twitter Instagram
Globe and Mail
20-06-2025
- Business
- Globe and Mail
Kaj Labs to Invest $160 Million in Bitcoin (BTC) to Back Imagen Network's (IMAGE) AI Infrastructure
The BTC reserve aims to enhance long-term sustainability and multichain liquidity for Imagen's AI social platform. Seattle, Washington--(Newsfile Corp. - June 20, 2025) - KaJ Labs, a decentralized AI and blockchain research organization, has announced a $160 million investment in Bitcoin (BTC) to reinforce the infrastructure and long-term sustainability of Imagen Network's decentralized AI social ecosystem. The strategic BTC reserve will underpin Imagen's multichain operations and act as a liquidity backbone for upcoming AI modules, community incentives, and cross-chain integrations. Strengthening the foundation of AI-powered decentralized systems. To view an enhanced version of this graphic, please visit: Imagen Network, the world's first AI-powered decentralized social platform, has recently expanded across Ethereum, BNB Chain, and Solana. This BTC investment by KaJ Labs reflects a growing focus on building stable, value-backed foundations for the platform's AI tooling, node orchestration systems, and token-based creator economy. The Bitcoin reserve will be used to balance operational costs, provide long-term collateral for $IMAGE-backed utility services, and fund ecosystem expansion as Imagen onboards more users and developers. It also aligns with Imagen's commitment to decentralization—using a neutral, trustless asset like BTC to support AI infrastructure across multiple blockchains. This investment follows a series of major capital moves including KaJ Labs' prior $52M commitment and Imagen's $125M XRP reserve expansion. Together, they position Imagen as one of the most capital-backed and infrastructure-secured AI social platforms in Web3. About Imagen Network Imagen Network is a decentralized social platform that blends AI content generation with blockchain infrastructure to give users creative control and data ownership. Through tools like adaptive filters and tokenized engagement, Imagen fosters a new paradigm of secure, expressive, and community-driven networking. About KaJ Labs KaJ Labs is a decentralized research organization focused on developing innovative solutions in artificial intelligence, blockchain, and Web3 infrastructure. The organization invests in high-impact projects that prioritize decentralization, transparency, and community empowerment. Media Contact Dorothy Marley KaJ Labs +1 707-622-6168 media@ Social Media Twitter Instagram
Forbes
02-06-2025
- Business
- Forbes
Swarm Intelligence Is Reshaping How AI Gets Trained
A decentralized AI training swarm could be more cost effective, equitable and inclusive that current ... More closed AI training approaches. It's no secret that current AI models are built behind closed doors in secrecy and seclusion. Only a handful of Big Tech companies hold the keys to those doors, the massive server centers, petabytes of data, training pipelines and protocols. The artificial intelligence models they produce are locked away behind their self-serving black boxes of seeming techno wizardry that the public can query but never really understand, influence or change. A ballsy decentralized AI start-up called Macrocosmos wants to change that. With the relaunch of Subnet 9 on the Bittensor network — think of a subnet as a mobile phone app and Bittensor as an app store — Macrocosmos is taking the first meaningful step toward a more democratic future for artificial intelligence. The clue to how they've achieved this feat is captured in the subnet's new acronym, IOTA: Incentivized Orchestrated Training Architecture. This construct allows anyone with a graphic processing unit, no matter how modest, to help train cutting edge AI models. Based on a novel 'swarm" approach, which is a theoretical pre training strategy for AI, Macrocosmos' breakthrough resolves key challenges around data and model compression, as explained in their white paper published on Friday. At its core is a vision that reimagines how intelligence is built and who gets to participate in that process. 'We are single-minded and obsessed in our pursuit of building competitive decentralized technologies that can compete with centralized labs,' wrote Macrocosmos CTO Steffen Cruz in a post on X. Before we can understand swarm training, we need to understand the key differences between traditional AI and decentralized AI. At its simplest, decentralized AI means that the training of an AI model doesn't happen in one place or under the control of one company. Instead, it's spread out, distributed — across homes, labs, campuses and servers anywhere in the world. The same way that Bitcoin decentralized money away from centralized banks, Bittensor and Macrocosmos aim to democratize intelligence itself. This matters because AI is infiltrating more and more of our lives. It's deciding what news we see, what products we are offered, how we shop, how we interact with each other, how we work and even how we're hired. Concentrating that power within a few cabalistic computing systems risks not just privacy or fairness, but the future of innovation itself. By opening those locked doors to public participation and direct engagement, decentralized AI offers a new kind of alignment — one where users are also co-creators. 'Not only is this a new research endeavor for Macrocosmos and Bittensor, but it's something bigger and more personal to us,' Cruz added. 'We are scientists, researchers and developers.' Swarm training, as deployed by Macrocosmos through IOTA, takes cues from the natural world. Similar to how a swarm of bees, school of fish or a flock of birds can accomplish complex navigation without central control, this novel subnet enables thousands of independent machines to orchestrate and collaborate on training a single massive AI model. Instead of forcing each network participant to download and run the full model — a costly and impractical ask — Macrocosmos uses a technique called model parallelism. Each subnet member — also called a miner since their actions 'mine' actual monetary incentives that benefit the entire network — trains just one slice of the model, typically a few layers of the neural network. As data flows through those individual layers, each miner processes their portion and passes the output forward. Then, a lightning fast reverse review grades how far off the model was and adjusts miner payouts accordingly. This approach isn't just efficient than centralized methods — it's more inclusive. Rather than requiring top-tier hardware, the architecture allows both low- and high-compute participants to contribute meaningfully. This breaks down the barriers to entry that have long kept open-source communities at the margins of AI model training. To understand the difference between how traditional AI models are trained and what Macrocosmos is doing, this graphic offers a useful side-by-side comparison: This side-by-side comparison depicts the differences between centralized and decentralized AI ... More training. In centralized training, one model is split into layers that are tightly linked across GPUs within a single data center. Everything is optimized for high-speed local connections. But this setup is expensive, exclusive and closed. In contrast, the decentralized swarm training distributes different layers of the model across a global network of contributors or miners. Each of these individuals handles a piece of the workload and communicates their results with others. The swarm system regularly syncs up all the parts into a single, shared model. Instead of requiring giant compute clusters, it leverages a far flung spectrum of connected devices — ranging from a personal desktop GPU to larger industrial setups. The outcome? Lower costs, more transparency and an AI model built by the many, not the few. However, training models this way has its challenges. Internet bandwidth is a lot slower than the fiber optics inside a data center. And decentralized participants can drop out, try to cheat the incentive system or go offline at a moment's notice without warning. While some of those issues are beyond Macrocosmos' control, they have developed an elegant solution for potential problems tied to miner incentives and rewards. The design of its new IOTA network overcomes three big challenges: In this video clip, the firm's co-founders Cruz and Will Squires discuss why decentralized training matters, and how it can open a new era for AI. This is more than a technical upgrade — it's a seismic philosophical shift. For years, decentralized AI projects have relied on centralized training behind the scenes. Macrocosmos is finally changing that. 'The time has come for us to move forward as a community and tackle new challenges in model training. This is an imperative for Bittensor. The competition are at our heels,' Cruz added. 'We beat nation states, we tirelessly benchmarked our progress and we shared our findings in our white paper. It was a fantastic experiment, and we pushed it far beyond its original design.' This effort to distribute AI's compute and ownership to all comers through swarm training enables a future reality where AI isn't something reserved for elite power brokers while inferential dregs are grudgingly dripped to the masses. It's a collective thing we build together. Macrocosmos is taking decentralized training out of Big Tech's locked, walled garden and into the wild. If they're successful, the next breakthrough frontier AI model might not come from OpenAI, Google or Meta — but rather from a swarm of us.
Forbes
29-05-2025
- Business
- Forbes
Most Americans Want AI Decentralized, Not Controlled By Big Tech
Three-quarters of Americans agree that the transformative power of AI would benefit more people if ... More it wasn't consolidated in the hands of a few major players. Three out of four Americans believe decentralized AI is more likely to support innovation and societal progress than traditional, centralized AI models dominated by Big Tech, according to new polling data released by Digital Currency Group and The Harris Poll. The nationally representative survey of 2,036 U.S. adults – including registered voters and AI users – found strong bipartisan support for DeAI, signaling a notable public shift away from tech monopolies and toward open source, distributed alternatives. DeAI leverages blockchain infrastructure to democratize access, bolster transparency and protect personal data – features that may address some of the public's deepest concerns about current AI systems. 'This research makes it clear – there's strong public support for policies that both protect innovation and keep pace with where the world is headed,' said Julie Stitzel, Senior Vice President of Policy at DCG. 'Three-quarters of Americans agree that the transformative power of AI would benefit more people if it wasn't consolidated in the hands of a few major players.' This sentiment was especially pronounced among older Americans. More than half of the surveyed Baby Boomers (57%) favor decentralized AI, the highest percentage among any age group. Despite being the least likely to use AI tools, Boomers were most likely to perceive DeAI as beneficial (88%), trustworthy (85%) and more secure for personal data (82%). 'What stood out most in the findings is the clear correlation between AI knowledge and support for decentralization,' Stitzel added in a text response. 'The deeper Americans engage with AI, the more they recognize the need to decentralize its power, regardless of political affiliation. This reflects a broader desire for innovation that is open, secure and accountable. Just as we've seen with digital assets, the public is calling for systems that do not concentrate control in the hands of a few but instead widen access and trust through transparency.' Statistical highlights from the DCG sponsored survey of more than 2,000 participants comparing pros ... More and cons of centralized AI versus decentralized AI. While Americans are broadly optimistic about AI – 91% believe it will fuel technological innovation and 84% see benefits to productivity and healthcare – deep skepticism remains about who controls it. The poll found that 65% of respondents distrust elected officials to manage AI, and 46% say the same of Big Tech. Half of those surveyed believe Big Tech has too much influence over government AI policy. Meanwhile, 72% of respondents said they would be more inclined to use AI if there were viable alternatives to platforms developed by major tech companies. 'The public is calling for a new social contract with artificial intelligence: one where AI is governed openly, distributes value fairly, and gives people a meaningful stake in the systems that shape their lives,' said Tony Douglas, Co-Founder of the Decentralized Research Center said in a statement. 'Decentralization is no longer a fringe idea – it's a framework for building AI that reflects public values and a chance to avoid repeating the failures of the last tech era.' The strongest driver behind the DeAI preference appears to be personal data control. The survey revealed that 88% of Americans want more agency over how their information is used by AI. Seventy-four percent said they'd be more comfortable using AI if they could directly benefit from their data – through ownership, consent or compensation. More than 70% also see DeAI as more secure for personal data than centralized AI systems. That trust gap may explain why just 39% of Americans said they were confident tech companies use their data responsibly. Beyond privacy, DeAI was also perceived as better aligned with the public good across several dimensions: 75% found it more supportive of innovation, 71% said it was safer and 65% said it was less likely to be biased than centralized AI. 'This growing public readiness to embrace decentralized AI is a signal that the future of intelligence can and should be more inclusive, resilient and fair,' said Evan Malanga, Chief Revenue Officer at Yuma, a DCG subsidiary that supports DeAI startups. 'As awareness grows, so does the demand for systems that put individuals, not corporations, at the center. Protocols like Bittensor are already demonstrating what this can look like in practice, creating open networks where anyone can contribute to and benefit from AI. That kind of permissionless participation is what will unlock the next wave of innovation.' Released alongside DCG's recent policy fly-in event in Washington, D.C., the survey arrives as lawmakers continue grappling with AI regulation. During the two-day gathering, DCG and its portfolio companies – including Yuma, which supports DeAI subnet development on the Bittensor network – met with members of Congress and co-hosted a DeAI briefing with the bipartisan House Congressional Crypto Caucus. While 68% of Americans agree that AI should be regulated at the federal level, the data suggest they're looking for regulation that empowers, not restricts. Fifty-nine percent believe AI is becoming 'as essential as the internet' and should be accessible without heavy-handed rules. Meanwhile, 71% support policies ensuring the economic benefits of AI flow back into local communities. DeAI, with its decentralized control structures and token-based economies, could be a policy match. It not only reduces reliance on centralized servers and opaque algorithms but also aligns with voter demand for AI systems that benefit the public – not just platform owners or data brokers. Whether that future ends up more decentralized may depend less on technical superiority and more on whether policymakers heed what appears to be a growing public mandate: that the next generation of AI should be open, equitable and governed by the many – not the few.
