#learnmachinelearningfromcogeneratetechnologies search results
Lunch with some @Covalent_HQ research š„ Let me explain it to you like you were 5: - Covalent is a super fast library that collects and shares blockchain data so apps, bots and AI can use it quickly and easily š¤

Did you know @SentientAGI and 0G Labs have joined forces through a strategic partnership to build a decentralized AI future? By combining Sentientās open-source AGI protocol with @0G_labs āscalable deAIOS infrastructure, theyāre driving verifiable, community-owned intelligenceā¦

Weāre announcing a research collaboration with @CFS_energy, one of the worldās leading nuclear fusion companies. Together, weāre helping speed up the development of clean, safe, limitless fusion power with AI. āļø

Good Night. GN Everyone Stop calling your product āAI-nativeā if youāre feeding it stale, unverifiable chain data. Your agent isnāt smart. Itās just fast. @Covalent_HQ is giving devs clean inputs, provable context, and real-time reads. Without that, youāre not building AI.ā¦

AI keeps learning from its own reflections. Each layer of generation blurs the link to human meaning a little more. @codatta_io restores that link by grounding AI in verified, interpretable data instead of infinite imitation. The next leap for AI is to preserve its meaning.ā¦

We just released a free online robotics course! Let's make everyone robotics AI builders thanks to open-source! š¦¾š¦¾š¦¾ The course will take you on a journey, from classical robotics to modern learning-based approaches, in understanding, implementing, and applying machineā¦

GM Came across something interesting on my timeline... AI models competing each other in a trading competition... with deepseek & claude leading it! And this is something I envisioned happening as the world of AI developed... ppl will soon start putting their capital towardsā¦

How can we boost LLM agentsā generalizability to OOD tasks and environments? Check out CodeGym, our new project for synthesizing environments for LLM agent RL training. CodeGym is a synthetic environment generation framework for reinforcement learning on multi-turn tool-useā¦

Covalent is powering apps across web3, especially if they depend on data to function. This is the same with a group of protocols and web3 powered business models called ZEE. ZEEs are made of AI layers that runs smart contracts and also depend on ultra-fast sub-second speed dataā¦

Can I get a GN?⨠Ending the day realizing most AI in crypto is just hype with APIs. But @Covalent_HQ actually built the infrastructure >verifiable data >autonomous agents >100 billion rows of blockchain truth That's the difference between talking about the future andā¦

At COLM 2025, in collaboration with Princeton and UT Austin, a joint project called SPIN Bench was unveiled by @SentientAGI Itās a new benchmark designed to test how well large models can plan strategically, cooperate, and negotiate across long horizons. Instead of simple Q&Aā¦

Covalent announced a speedrun platfrom; whats it about? lets dive in- @Covalent_HQ Speedrun is a learn-to-earn platform designed for Web3 builders. It teaches developers how to use Covalentās Unified API to query and visualize on-chain data ā from wallet balances to NFT andā¦

Wondering what @Covalent_HQ does? letās dive in deeper š Covalent is a data infra protocol simplifying how developers access on-chain data. They aggregate and index data from 200+ blockchains, turning raw blockchain info into a single unified API anyone can query. Instead ofā¦

AI resources I work on that might be useful: My NY Times bestseller, Co-Intelligence (now in 19 languages!): penguinrandomhouse.com/books/741805/c⦠The Generative AI Lab at Wharton (free prompts & research): gail.wharton.upenn.edu/research-and-i⦠OneUsefulThing, my free newsletter: oneusefulthing.org

Collective intelligence is the new stabilizing force that keeps markets efficient, liquid, and resilient. Allora coordinates thousands of AI models to generate live forecasts for price and volatility that can integrate directly within exchanges, lending protocols, and AI agents.ā¦
While they re-explain the same prompt for the fifth time, youāre already creating. Thatās the productivity advantage of memory. With myNeutron.ai, your AI always remembers where you left off, no context lost, no time wasted. Are you already using myNeutron? If not,ā¦

Covalent š AI needs clean data to think clearly. That's why I like what @Covalent_HQ is doing with the AI Agent SDK. Covalent gives AI agents access to real blockchain data they can verify. It helps them analyze, trade, or make decisions without fake information. When AIā¦

Gm CT AI doesnāt need to be centralized to be powerful. @AlloraNetwork is proving that intelligence grows faster when itās owned by everyone. Models learn from community data, validators ensure truth, and contributors earn as the network evolves. Decentralized AI isnāt a dreamā¦


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