According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Microsoft and Tsinghua University have developed a 7B-parameter AI coding model that outperforms 14B rivals using only ...
The Anthropic philosopher explains how and why her company updated its guide for shaping the conduct and character of its ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
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Humans& thinks coordination is the next frontier for AI, and they’re building a model to prove it
Humans&, a new startup founded by alumni of Anthropic, Meta, OpenAI, xAI, and Google DeepMind, is building the next ...
If you have been following the news or scrolling through your social media feed of late, chances are you have heard about the artificial intelligence (AI) ...
New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...
Advancements in Simulation Methodologies Simulation is getting a serious upgrade, and it’s not just about faster computers ...
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