Article · Latent Space ·
November 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B.
A tool or model opens in the Heidelberg AI Curriculum: what it does, what it costs, how to start. A repo opens on GitHub.
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There’s a lot of dispute to yesterday’s title story on “ Weight Space Programming ” — and we agree that some of the claims are presented in overly favorable light and overall took away from the impact of the paper’s more substantial discoveries.
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Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark.
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Evals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model
ArticleLatent Space
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one of the fastest-growing companies...