https://ai-news.ypetit.net/sources/community-latent-space/ Latest publications from Latent Space (swyx), aggregated by AI News from the official source. en Tue, 10 Nov 2026 00:08:45 GMT https://latent.space/p/handshake/urn:latent-space:post:post_7c4df2dc-89b9-4ffa-a212-174cf579b0eeMon, 09 Nov 2026 17:15:53 GMTcommunityHandshake 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 https://latent.space/p/cs146s/urn:latent-space:post:post_c965535e-89a8-4755-b38e-4e9eda7f9bb3Sun, 08 Nov 2026 21:41:44 GMTcommunityWhat happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco. https://latent.space/p/one_million_ai_engineer_special_how_stanford_teaches_ai-native_engineering_mihail_eric_monaco/urn:latent-space:post:pod_ep_01a1bcf7-771f-7c67-ba1d-94f856e787b0Sun, 08 Nov 2026 21:23:29 GMTcommunityWhat 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 ... https://latent.space/p/ainews-anthropic-ipo-whither-now/urn:latent-space:post:post_7716b2e3-ddac-48e0-8890-6bd0b896d287Sat, 07 Nov 2026 03:04:53 GMTcommunityNovember 6, 2026 — ARC Prize tests Inkling 2 Small, and Thinking Machines explains how it caught early checkpoints bypassing guardrails. https://latent.space/p/controlling-biology-fabian-theis-helmholtz-munich/urn:latent-space:post:post_e4eae676-23c0-4ee3-bf61-919e4d3b3909Fri, 06 Nov 2026 15:10:53 GMTcommunityAs 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 https://latent.space/p/ainews-inkling-2-small-17a-594b-trained-in-68-hours-on-12t-tokens-beating-muse-spark/urn:latent-space:post:post_f6bfef19-e48a-4a0a-a73a-8361a44fe6a9Fri, 06 Nov 2026 10:35:21 GMTcommunityNovember 5, 2026 — Inside Inkling 2 Small’s training run and METR’s study of AI research at Anthropic. https://latent.space/p/ainews-it-s-swapping-season/urn:latent-space:post:post_fd221542-e3ff-41a0-bb96-ef372fda447eThu, 05 Nov 2026 06:24:09 GMTcommunityNovember 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B. https://latent.space/p/ainews-behind-latent-space-kill-my-saas-jev-ai-in-2026-aiei-shanghai/urn:latent-space:post:post_648fd7ef-adde-48f2-8823-488d55480202Wed, 04 Nov 2026 19:17:30 GMTcommunityNovember 3, 2026 — A quiet day lets us share some behind the senes. https://latent.space/p/ainews-llms-can-read-write-neural-network-weights-weight-space-programming-cuts-autoresearch-out-of/urn:latent-space:post:post_51573bcd-fb09-403d-955a-04daf318cf5fTue, 03 Nov 2026 05:35:00 GMTcommunityEditing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark. https://latent.space/p/building-ai-for-lawyers-jacob-lauritzen-cto-of-legora/urn:latent-space:post:post_b1e4eead-3949-4839-9db7-833e48cc345bMon, 02 Nov 2026 23:01:02 GMTcommunityEvals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model https://latent.space/p/building_legal_agents_when_you_can_t_see_the_data_-_jacob_lauritzen_cto_of_legora/urn:latent-space:post:pod_ep_01a19df0-34a3-7307-96fc-48928908772bMon, 02 Nov 2026 22:54:03 GMTcommunityLegora 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... https://latent.space/p/arca/urn:latent-space:post:post_5b764e38-11dc-428b-b25b-2b9b740ebb8bSat, 31 Oct 2026 16:05:00 GMTcommunityArca's head of AI discusses persistent memory, the benefits of a custom harness, and agentic workflows that span days. https://latent.space/p/ainews-google-admits-ai-mode-hurts-search-revenue-15-500b-drop-worst-since-2004-ipo-ai-bear-market-c/urn:latent-space:post:post_da09d759-cdcb-4e0e-8da3-a546632e0a0fSat, 31 Oct 2026 05:00:48 GMTcommunityIt turns out you cannot have your cake AND eat it https://latent.space/p/ainews-building-aie-code-the-top-coding-agent-conference/urn:latent-space:post:post_4bbfc159-731d-476e-a98e-feff058c9af8Fri, 30 Oct 2026 08:24:29 GMTcommunityMistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps. https://latent.space/p/elorian/urn:latent-space:post:post_5b8f3496-af90-414a-aed2-a87d44870a49Thu, 29 Oct 2026 16:00:00 GMTcommunityA new decoy counting benchmark exposes a gap between seeing and reasoning. Elorian’s Glimpse tries to bridge it by thinking with images. https://latent.space/p/ainews-gemini-4-carbon/urn:latent-space:post:post_211d308e-4494-4480-adc1-9d69c85efd19Thu, 29 Oct 2026 05:55:19 GMTcommunityGoogle’s new frontier model leads independent evals, with access initially limited to trusted defenders. https://latent.space/p/supabase/urn:latent-space:post:post_dc42ae8a-0f60-40f4-a056-f11b7f8c3289Wed, 28 Oct 2026 19:48:05 GMTcommunityPaul Copplestone and Ant Wilson on building the backend for AI agents https://latent.space/p/ainews-anthropic-ends-coding-interviews-hunger-beats-tenure/urn:latent-space:post:post_d7ad54dc-42ae-4086-8e74-156baa218337Wed, 28 Oct 2026 08:50:30 GMTcommunitySince coding is solved, why code for the job? https://latent.space/p/opus55/urn:latent-space:post:post_76eb7299-a6e5-42ff-813a-a35462bdda42Tue, 27 Oct 2026 18:53:10 GMTcommunityKatelyn Lesse and Angela Jiang on Opus 5.5, the Claude Platform, and the engineering behind AI agents. https://latent.space/p/how_anthropic_ships_the_1_llm_in_the_world_safely_separating_the_brain_from_the_hands/urn:latent-space:post:pod_ep_01a17e24-16fc-71e3-bdc8-f0c1aeee546cTue, 27 Oct 2026 18:40:19 GMTcommunityKatelyn 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 ...