A 30B model just hit gold-medal scores at the world's hardest math contest. Olympiad math and physics are the hardest reasoning tests around. Most gold-medal scores come from massive specialized systems built for one subject. Shanghai AI Lab just released SU-01, a 30B open
OPEN SOURCE
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The Evolution of Open-Source Large Models and Accessibility
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I remember when people were saying "It's useless to open-source big models because nobody will be able to run them fast"….
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Release of SANA-WM: Open Source World Model for Video Generation
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One image + text + camera trajectory = controllable worlds. All on a single GPU.
— NVIDIA AI (@NVIDIAAI) 19 mai 2026
Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control. pic.twitter.com/oXHRCnCRdMOne image + text + camera trajectory = controllable worlds. All on a single GPU. Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control.
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Deep Agents integrates with NebiusAI Token Factory for agent workloads
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Deep Agents now integrates with @nebiusai Token Factory. Now, you can run agent workloads on production-grade AI infrastructure with open-source models, dedicated endpoints, real-time search, and full control over cost and data.
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Llama.cpp MTP: 2x generation speed with multi-token prediction
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I've seen some confusion online on how to run llama.cpp with MTP (Multi-token prediction) in the simplest way possible. ICYMI, MTP is a new flavor of speculative decoding built-in to the model itself, that ~2x your tokens per sec for most use cases. 2x generation speed = Truly
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Preparing datasets for AI model training on Hugging Face
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Add to HF as datasets for people to train models
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A Guide to Setting Up Local AI Environments
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Gentle reminder that all you need to start with Local AI is: – 2x RTX 3090s (pick up for $700-$900 on r/hardwareswap) – Qwen 3.6 27B / Gemma 4 31B – Your favorite agent (Claude Code / OpenCode / etc) – Self-hosted SearXNG for web access And you got yourself Opus 4.5 at home
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GitHub’s Spec Kit tackles unreliable vibe coding
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GitHub acaba de solucionar el mayor problema del vibe coding.
— Nico (@nicos_ai) 18 mai 2026
Acaban de lanzar Spec Kit y en días ya tiene +95K estrellas.
¿La idea?
En vez de tirar prompts vagos y rezar para que el agente no rompa tu proyecto…
Spec Kit obliga a la IA a crear una especificación estructurada… pic.twitter.com/pLVkNzrxdUGitHub has just solved the biggest problem with vibe coding. They've just launched Spec Kit and in days it already has +95K stars. The idea? Instead of throwing vague prompts and praying the agent doesn't break your project… Spec Kit forces the AI to create a structured
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Strategic value of open-source AI models and compute costs
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But that’s the thing though, my whole hypothesis was that opensource models are gonna be amazing Waiting until they already are is just reactionary and makes you pay for compute at a steep price
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Local Open-Source AI as a Strategy to Mitigate GPU Shortages
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I believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)!
— clem 🤗 (@ClementDelangue) 18 mai 2026
Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality… pic.twitter.com/nSYfGnlPqWI believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)! Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality