Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers

YesterdayReported by arXiv31

Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers. The story centres on AI Safety. Reported by arXiv. Bharat Hunt files it under AI Funding and AI Research — the section covering rounds, valuations, acquisitions and investor moves in AI.

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arXivGlobal Divergence, Local Convergence: Representation Geometry in SSMs and TransformersYesterdayAmit Ben-Artzy

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Paul Christiano joins OpenAI Foundation Board

Paul Christiano joins OpenAI Foundation Board. It centres on OpenAI, and also names AI Safety. Reported by OpenAI. Bharat Hunt files it under AI Research — the section covering papers, benchmarks, evaluations, interpretability and safety results. Open the original report for the full detail.

OpenAI3 hours ago

AI Research33

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? It centres on AI Safety, and also names Gemma and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Agents — the section covering papers, benchmarks, evaluations, interpretability and safety results.

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Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers

Companies, models and people in this story

Reported by arXiv

Paul Christiano joins OpenAI Foundation Board

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training

Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

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Reported by arXiv

Related AI coverage

Paul Christiano joins OpenAI Foundation Board

SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?

Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training

Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks