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LM2: Large Memory Models(arxiv.org)
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Scalable MatMul-Free Language Modeling(arxiv.org)
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Mercury 2: Fast reasoning LLM powered by diffusion(inceptionlabs.ai)
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Inception Labs blog post by CEO Stefano Ermon announcing Mercury 2, a fast reasoning LLM built on diffusion rather than autoregressive generation.
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arXiv paper finding that fine-tuning language models to be warm and empathetic raises error rates and makes them more sycophantic on safety-critical tasks.
Training LLMs from ground zero as a startup(yitay.net)
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Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
Thinking fast and slow in AI: The role of metacognition (2021)(arxiv.org)
165 points by teleforce | 68 comments
An arXiv paper proposing a multi-agent AI architecture inspired by Kahneman's fast and slow thinking, with a metacognitive module choosing between system 1 and system 2 agents.












