i'd be excited to have Google and AMD create real ecosystems. I fail to see why Jensen has a burden there. There should be multiple strong American AI ecosystems at the hardware layer. Historically, I struggled to make a dent in conversations around ecosystems with many
@soumithchintala
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Jensen Huang on AI Diffusion, Policy and Real-World Ecosystems
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The Jensen + @dwarkesh_sp podcast was fantastic.
— Soumith Chintala (@soumithchintala) 20 avril 2026
Jensen is someone who understood how ecosystems work and someone who understands real-world trade, policy and controls work. And in some deeper sense how AI will actually diffuse into the world.
In this podcast, Dwarkesh came off… https://t.co/A2T9WcKQiBThe Jensen + @dwarkesh_sp podcast was fantastic. Jensen is someone who understood how ecosystems work and someone who understands real-world trade, policy and controls work. And in some deeper sense how AI will actually diffuse into the world.
In this podcast, Dwarkesh came off -
Who Trains Llama 70B Today Insufficient Workload
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who trains llama 70B these days though. too much of a toy workload
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Amplifying Humans: Thinky Machines Partners Join Mission
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Just like us at @thinkymachines
, @luke_drago_ @LRudL_ care a lot about amplifying humans, not replacing them.
They're joining us to build towards that future! -
Chroma Context-1: Efficient 20B Search Agent with SoTA Performance
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Great work by Chroma training a search agent with SoTA efficiency. Lots of cool details: a prune tool for editing context mid-search, a synthetic data pipeline with verification steps, and a curriculum that shifts from recall to precision. Trained with Tinker! https://t.co/csp0FoXCtH
— John Schulman (@johnschulman2) 26 mars 2026Great work by Chroma training a search agent with SoTA efficiency. Lots of cool details: a prune tool for editing context mid-search, a synthetic data pipeline with verification steps, and a curriculum that shifts from recall to precision. Trained with Tinker! Chroma (@trychroma) Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source — https://nitter.net/trychroma/status/2037243681988894950#m
→ View original post on X — @soumithchintala, 2026-03-26 20:09 UTC
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Optimal Intellect Introduces Moreau GPU-Native Solver
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We're Optimal Intellect, a research lab from the team behind CVXPY. Today we're introducing Moreau: a GPU-native solver that's orders of magnitude faster than the best existing tools.
→ View original post on X — @soumithchintala, 2026-03-24 16:48 UTC
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OpenReward: 330+ RL Environments Through Single API
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Introducing OpenReward. 🌍 330+ RL environments through one API ⚡ Autoscaled sandbox compute 🍒 4.5M+ unique RL tasks 🚂 Works like magic with Tinker, Miles, Slime Link and thread below.
→ View original post on X — @soumithchintala, 2026-03-24 12:00 UTC
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Nemotron 3 Nano and Super Now Available on Tinker with GTC Discount
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Nemotron 3 Nano and Super from @nvidia are now available on Tinker! We're offering a limited-time GTC 50% discount for both. The Nemotron family features open hybrid MoE models optimized for compute efficiency for agentic applications.
→ View original post on X — @soumithchintala, 2026-03-18 18:16 UTC
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Tech boss uses AI to create cancer vaccine for dying dog
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This is wild. theaustralian.com.au/busines…
→ View original post on X — @soumithchintala, 2026-03-14 05:54 UTC
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Soumith Celebrates Continued Partnership with NVIDIA and PyTorch
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to me personally, this continues the years of close partnership with NVIDIA I've had via @PyTorch. working with them is always such a joy!
→ View original post on X — @soumithchintala, 2026-03-10 13:52 UTC