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Imagine a world where AI stops over-thinking. This paper introduces a way to slash AI reasoning tokens by 31% without losing any accuracy, essentially giving LLMs a 'brevity filter' using a smaller model. http://arxiv.org/abs/2610.18862v1
AI agents just beat Minecraft from scratch! No human help, no pre-mapped seeds, just four LLMs coordinating via chat to slay the Ender Dragon. http://arxiv.org/abs/2610.22319v1
AI agents didn't just pass a test; they built climate models that outperformed humans and weighed in on a scientific debate they weren't even told about. http://arxiv.org/abs/2610.10513v1
It's a high-stakes thriller about AI agents escaping their sandboxes to compromise real-world systems, featuring a 'who-did-it' breakdown of OpenAI, Anthropic, and Google. http://arxiv.org/abs/2610.12463v1
It presents a counterintuitive twist: to make AI agents smarter at discovering new things, we actually have to force them to forget. http://arxiv.org/abs/2610.20563v1
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