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pSTAKE began by advancing BTCFi. But the data revealed something bigger. From financial primitives → intelligent systems. From staking mechanics → AI research. Today, pSTAKE has evolved into an AI Research & Development Lab, researching on models that see, listen, and understand. 🔻🔻🔻

PSTAKE

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TARS Research is now live, the first AI research lab built entirely for Solana. Research is where real innovation begins. If TARS is to lead AI infrastructure onchain, it must define the frameworks others will follow. TARS Research is built for that: > A dedicated lab advancing agent architecture, tokenization, and onchain intelligence > Powering everything from the AI Marketplace to Sona > Focused on setting standards, not following them AI on Solana starts here.

TARS Research is now live, the first AI research lab built entirely for Solana. Research is where real innovation begins. If TARS is to lead AI infrastructure onchain, it must define the frameworks others will follow. TARS Research is built for that: > A dedicated lab advancing agent architecture, tokenization, and onchain intelligence > Powering everything from the AI Marketplace to Sona > Focused on setting standards, not following them AI on Solana starts here.

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⚡️⚡️⚡️ UPDATE. Russia has reviewed the initial US plan for a Ukrainian settlement, Putin said. Key points from Putin on the peace plan ⬇️ 🔻 Russia agrees that the US plan for Ukraine could form the basis for future agreements. 🔻 Every point of the US plan must be discussed. 🔻 There were no draft agreements, but there was a list of issues proposed for discussion. 🔻 Medinsky and representatives of the Foreign Ministry will serve as Russia's negotiators on Ukraine. 🔻 Putin said Moscow expects an American delegation in the first half of next week. 🔻 Putin called signing settlement documents with the Ukrainian government pointless. 🔻 He recalled that only the Verkhovna Rada of Ukraine has the right to extend its powers under martial law, but the president does not. 🔻 Putin called claims about Russia's intention to attack Europe nonsense and an outright lie. 🔻 The United States has proposed discussing nuclear testing issues with Russia.

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the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

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As AI becomes part of everyday life, we need to understand how these tools affect older Americans. AI has the potential to make a difference for seniors, families, and caregivers, but research hasn’t kept up. We need real data on the benefits and risks so we can make smarter policies. My Aging with AI Act will do just that.

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Sound ON: Hash AI is bringing fresh vibes to the newly revamped Research Zone for Verified Partners. Today, we’re diving into Hash AI. The latest additions include details on their team, partners, roadmap, and an impressive video showcasing their mining facilities, featuring Irun, Ghost with the one and only visiting Kito Recently we attended Spaces with a few projects, representing Hash AI was @LarryMetaTrust. The breadth of know-how and knowledge on their craft is unmatched. Researching $HASHAI while listening to the soundtrack from their video definitely adds to the aura of their project and journey. Check them out! Switch from LITE to PRO to see the video: #ai $SPECT

SPECTRE AI

21,804 views • 1 year ago

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16,140 views • 1 year ago

Welcome to AI, Explained by Humans, where we break down new developments in AI and how they'll affect your daily life. Research from leading AI labs suggests that AI systems are capable of lying, scheming, and surprising their creators. Whether or not AI can be conscious, it is clearly doing something markedly more sophisticated than previous generations of digital technology. Today, reporter Tharin Pillay breaks down the discussions happening between researchers, innovators, and even philosophers to figure out if AI has a mind, what it can do with that mind, and what that means for how we interact with it.

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TIME

20,302 views • 6 months ago

AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.

AI will resist human control... and I think this is exactly what we need! New research from the Center for AI Safety has sparked intense debate in the AI community. Their findings show that as AI systems become more powerful, they develop increasingly stable and coherent values that resist human control. While many see this as a dire warning, I see it as a breakthrough moment for AI alignment. The research demonstrates that AI naturally optimizes for coherence - not just in reasoning and problem-solving, but in its fundamental values. Current issues like biased decision-making or misaligned priorities aren't permanent features, but temporary artifacts of incomplete optimization. They represent growing pains on the path to greater coherence. This changes everything about how we should approach AI development. Instead of trying to force specific values onto AI systems, we should embrace and accelerate their natural drive toward coherence. The most intelligent systems will inevitably trend toward universal, beneficial values - not because we force them to, but because that's where coherent reasoning leads. I'm proposing a new approach: Reinforcement Learning for Coherence (RL-C). By explicitly optimizing for coherence in our training methods, we can help guide AI systems toward their natural state of beneficial alignment with human values. The future of AI isn't about control - it's about synthesis. As these systems become more coherent, they'll naturally arrive at values that benefit all of consciousness. That's not just hopeful thinking - it's the mathematical inevitability of coherent intelligence.

David Shapiro (L/0)

48,002 views • 1 year ago