What if robots could predict and prevent failures before they happen—instead of just reacting to them? Researchers from CUHK Shenzhen, DexForce, and Shenzhen Loop Area Institute introduce AgentChord: a system that builds a task graph ahead of time, pre-wired with recovery
AGI
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Scaling Past Informal AI: Math, Lean, and formal proofs for AGI
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Scaling Past Informal AI https://
latent.space/p/axiom @axiommathai founder & CEO @CarinaLHong explains why math may be the missing path from code agents to AGI, why verified AI is about scaling brilliance not just fixing hallucinations, how Lean and formal proofs turn reasoning -
Gemma 4 12B: encoder-free open model with agentic reasoning, vision, audio
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Gemma 4 12B shipped today under the label "encoder-free." A local 12b model that shows really good results. I'm a big fan of Gemma Gemma 4 12B is out: a dense, fully open model (Apache 2.0) that runs on a 16GB laptop and does agentic reasoning, vision and audio at a quality
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Superforecasters’ prediction matched by Claude Mythos months early
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In early May, the best superforecasters predicted that, by the end of the year, the longest METR 80% task horizons would reach 3-4 hours. In late May, Claude Mythos achieved that number.
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BabyAGI diagram praised, meta path leads to ActiveGraph
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yeah this 2023 babyagi diagram was on point 🙂 thx! seems like if you keep going meta, you'll end up with something like activegraph, lots of ppl seem to have been circling similar ideas
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Capabilities learned not inherited: building from ground up
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The phrase “capabilities should be learned, not inherited” is doing a lot of work here. It draws a clear line between imitating intelligence through distillation and building the internal machinery to generate, evaluate, and improve capabilities from the ground up. That
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Learned vs. Inherited Capabilities: Distillation vs. Ground-Up Intelligence
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The phrase “capabilities should be learned, not inherited” is doing a lot of work here. It draws a clear line between imitating intelligence through distillation and building the internal machinery to generate, evaluate, and improve capabilities from the ground up. That
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20 of 25 Top AI Researchers Say AI Will Soon Build AI
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20 of 25 top AI researchers say AI will soon build AI. For decades, humans built every AI system from scratch. That assumption is quietly breaking down inside frontier labs. A new paper interviewed 25 top researchers from Stanford, OpenAI, Google DeepMind, and Anthropic.
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Codex is AGI, oneshotted without notes
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codex is agi man https://
youtu.be/cFNI2FORAc0 oneshotted this, no notes -
Microsoft déploie sept modèles IA spécialisés en une fois
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Wild to see Microsoft roll out seven specialized models in one shot-reasoning, coding, image gen, transcription, and voice all covered in a single product-ready stack. This is what it looks like when AI stops being a demo and starts becoming infrastructure. If you care about