NEW paper from Google DeepMind. (bookmark it) AI Co-Mathematician is an agentic research workbench for mathematicians, and it just hit 48% on FrontierMath Tier 4, a new high score among AI systems evaluated. The system is an asynchronous, stateful environment that supports
AI
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Symbolic Learning as a Scalable Alternative to Neural Networks
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Symbolic learning is not a replacement for coding agents, it's a replacement for gradient descent & NNs: a low-level, completely general, extremely scalable new learning substrate.
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Hugging Face Hub Reaches One Million Open Datasets Milestone
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We've just hit 1M open datasets on the Hugging Face Hub 🎉
— Hugging Face (@huggingface) 12 mai 2026
Open models need open data. Today we hit that milestone, together with the most incredible community in AI! 🤗
Onwards to the next million 🚀 pic.twitter.com/PV6knP3XlJWe've just hit 1M open datasets on the Hugging Face Hub Open models need open data. Today we hit that milestone, together with the most incredible community in AI! Onwards to the next million
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User experience with AI-powered photorealistic image integration
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crazy how photorealistic it integrated me in the scene pic.twitter.com/b8NuvfxGHC
— Andreas Klinger 🦾 (@andreasklinger) 12 mai 2026crazy how photorealistic it integrated me in the scene
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Multimodal AI System Fuses Vision, Depth, and Tactile Sensing
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Multimodal AI #Robot Fuses Vision, Depth, Tactile Sensing, and Language Understanding
— Ronald van Loon (@Ronald_vanLoon) 12 mai 2026
via @ZappyZappy7
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/RAvFmdNxbCMultimodal AI #Robot Fuses Vision, Depth, Tactile Sensing, and Language Understanding
via @ZappyZappy7 #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -

Hugging Face surpasses one million public datasets
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We just crossed 1,000,000 public datasets on Hugging Face! That's petabytes of data available that millions of AI builders download, analyze, and train AI models on every day! What's interesting is that we're seeing a clear acceleration since AI agents started performing well.
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AI context gets fresh with Cocoindex
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The way AI agents access fresh context has just been transformed forever. AI agents constantly face a major hurdle: their context becomes outdated. Every codebase update, new Slack message, or fresh PDF requires rebuilding the entire pipeline from the ground up. Cocoindex is an open-source engine that solves this problem.
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AI Infrastructure and Future Trends Discussed at Web Summit
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AI is hitting a new phase and infrastructure is at the center of it. Don't forget to join @RodrigoLiang at @WebSummit Vancouver as he breaks down what’s changing and what comes next. May 13 | 12:20–12:40 PM https://
vancouver.websummit.com/sessions/van26
/d28d9215-dcdd-4b20-94e3-03d56a46061c/building-ai-s-400b-backbone/
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AI Coder Builds OS with Claude Code: Masterclass, Guide, and Free Repo
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This guy literally built an ENTIRE operating system with Claude Code 🤯
— Charly Wargnier (@DataChaz) 12 mai 2026
now he is showing you exactly how.
Nate just dropped the ultimate AI coding starter pack:
→ 2+ hour masterclass
→ Complete framework guide
→ Free GitHub repo to start building
bookmark this 👇 https://t.co/DwToTNzjwH pic.twitter.com/Atk3Nd4croThis guy literally built an ENTIRE operating system with Claude Code now he is showing you exactly how. Nate just dropped the ultimate AI coding starter pack: → 2+ hour masterclass
→ Complete framework guide
→ Free GitHub repo to start building bookmark this -
Optimizing AI Infrastructure via Intelligent Model Routing
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Most AI apps are still burning money by sending every prompt to the most expensive model.
— God of Prompt (@godofprompt) 12 mai 2026
That won’t last.
The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break.
This is the infra layer everyone… https://t.co/mpM5L6tuwwMost AI apps are still burning money by sending every prompt to the most expensive model. That won’t last. The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break. This is the infra layer everyone
