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Handshake went from launch to $1B in one year pushing the envelope of specialized data for frontier labs. Our first deep dive into a data lab with specific examples across Finance, Bio, and Alignment
What happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco.
What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and ...
November 6, 2026 — ARC Prize tests Inkling 2 Small, and Thinking Machines explains how it caught early checkpoints bypassing guardrails.
As systems biology efforts heat up to map biology at higher resolution, greater breadth and more modalities, Fabian Theis is pushing the frontier from mapping to predicting to controlling biology
November 5, 2026 — Inside Inkling 2 Small’s training run and METR’s study of AI research at Anthropic.
November 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B.
November 3, 2026 — A quiet day lets us share some behind the senes.
Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark.
Evals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model
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...
Arca's head of AI discusses persistent memory, the benefits of a custom harness, and agentic workflows that span days.
It turns out you cannot have your cake AND eat it
Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.
A new decoy counting benchmark exposes a gap between seeing and reasoning. Elorian’s Glimpse tries to bridge it by thinking with images.
Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.
Paul Copplestone and Ant Wilson on building the backend for AI agents
Since coding is solved, why code for the job?
Katelyn Lesse and Angela Jiang on Opus 5.5, the Claude Platform, and the engineering behind AI agents.
Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents. A new introduction ...
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