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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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Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

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When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

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Over the past few months, what started as NoelClaw evolved into something much bigger- a platform where AI agents can remember, research, build, automate, trade, and interact with real-world systems. Along the way, we listened to the community. One piece of feedback came up over and over again: the original token distribution wasn't the best foundation for long-term growth. Instead of ignoring it, we decided to rebuild it properly. That's why we rebranded to Finch Agentic and relaunched the token with a healthier foundation. Our mission hasn't changed. We're still building a runtime layer for agentic AI. Today, Finch lets you: >> Build websites and apps with AI >> Deploy persistent AI agents >> Use an AI-powered terminal >> Install reusable skills >> Connect real-world APIs >> Swap assets >> Run deep research >> Create multi-agent workflows And we're just getting started. Next up: - Robinhood MCP integrations - AI financial agents - Staking (USDG & stock pairing rewards) - More skills, APIs, and autonomous workflows Models will keep changing. AI will keep evolving. But every autonomous agent still needs somewhere to remember, work, and operate! That's what we're building with Finch. Welcome to the next chapter. CA : 0xce1981b0431fb495912cab057d2877a290199824 Web : App : Docs : NPM : Github :

Over the past few months, what started as NoelClaw evolved into something much bigger- a platform where AI agents can remember, research, build, automate, trade, and interact with real-world systems. Along the way, we listened to the community. One piece of feedback came up over and over again: the original token distribution wasn't the best foundation for long-term growth. Instead of ignoring it, we decided to rebuild it properly. That's why we rebranded to Finch Agentic and relaunched the token with a healthier foundation. Our mission hasn't changed. We're still building a runtime layer for agentic AI. Today, Finch lets you: >> Build websites and apps with AI >> Deploy persistent AI agents >> Use an AI-powered terminal >> Install reusable skills >> Connect real-world APIs >> Swap assets >> Run deep research >> Create multi-agent workflows And we're just getting started. Next up: - Robinhood MCP integrations - AI financial agents - Staking (USDG & stock pairing rewards) - More skills, APIs, and autonomous workflows Models will keep changing. AI will keep evolving. But every autonomous agent still needs somewhere to remember, work, and operate! That's what we're building with Finch. Welcome to the next chapter. CA : 0xce1981b0431fb495912cab057d2877a290199824 Web : App : Docs : NPM : Github :

Finch Agentic

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Six months ago, on the first-ever episode of The Humanoid Hub, Eric Jang discussed World Models as something that wasn't being taken seriously as the core of AI systems. Today, 1X introduced a robotics policy that turns that vision into reality, converting video generation from World Models into real-world robot actions.

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Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

NVIDIA AI Developer

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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.

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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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

John Furrier

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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

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

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🎙️ What’s the Meta? Out tomorrow! A research lab has given a rat an AI-powered brain that allows it to answer questions. We speak to two people from NEIRY about how this works, a future of chatting with cows, and the ways its meme coin $PYTHIA has helped the lab. You don’t want to miss this 🐀

🎙️ What’s the Meta? Out tomorrow! A research lab has given a rat an AI-powered brain that allows it to answer questions. We speak to two people from NEIRY about how this works, a future of chatting with cows, and the ways its meme coin $PYTHIA has helped the lab. You don’t want to miss this 🐀

Decrypt

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