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Meta Superintelligence Lab released a new AI model on Monday called Muse Ember, the lab’s lightest and most cost-efficient AI model yet. In its release, Meta said Ember was “designed for complex reasoning execution and the work agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing.” Meta particularly emphasized…

← The conversations Latent Space Podcast What Frontier Labs Buy: A Data Deep Dive with Handshake AI — Garrett Lord & Team 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 Listen to this conversation 164 min…

Our first deep dive with an AI data company. In roughly a year, Handshake built an AI training business doing nearly $1 billion in gross annualized revenue.

Today, I’m talking with Mitch Glazier, who is CEO and chairman of the RIAA. This conversation was a real full-circle moment for me: I was in college when Napster hit, and the RIAA became everyone’s villain for suing kids for downloading music.

A compound AI approach to Japanese personas grounded in real-world distributions Open Data Breaking Down Privacy Barriers to Pave the Way for AI in Finance In the financial sector, the utilization of real-world data faces significant constraints due to strict privacy regulations, compliance requirements, and the need for advanced domain expertise. In this…

[Submitted on 5 Nov 2026] Title: Structuring Survey Histories for LLM Digital Twins: A Controlled Study of Background, Decision Procedure, and Evaluation Profiles View a PDF of the paper titled Structuring Survey Histories for LLM Digital Twins: A Controlled Study of Background, Decision Procedure, and Evaluation Profiles, by Iris Ye and 2 other authors…

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[Submitted on 5 Nov 2026] Title: Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP View a PDF of the paper titled Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP, by Stepan Epifantsev and 4 other authors View PDF HTML (experimental) Abstract: Safety benchmarks for large language models (LLMs) commonly use…

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In October, Epic Games said that it was “ investigating ” making Fortnite compatible with Valve’s Linux-based SteamOS. At the time, Epic Games Launcher was in preview, but SteamOS was not specifically listed as a supported distro.

On November 4, 2026 , Bloomington, Indiana’s Common Council voted unanimously to prohibit superintelligent artificial intelligence inside city limits — not only in a data center on Main Street, but also when a resident opens a browser or API session to a model hosted anywhere else. The Indiana Daily Student reported the vote during a long council night…

Even the best weapon is an unhappy tool, hateful to living things. Lao Tzu & Le Guin, Tao Te Ching , page 38 “Artificial intelligence” is not a technology.

As a publisher and a space for creativity, we should be clear that we are in total opposition to Artificial Intelligence and its effect on human creativity and the natural environment. We explicitly refuse to accept content or articles written or generated in full or in part by AI or LLMs.

Knowledge: We continue our series about recursive self-improvement. Learning Loop: We dive into GPT-6 Cyber and the new Thinking Machines and Gemini models.

Today, I’m talking with Alex Stamos, chief security officer at Cognition and longtime cybersecurity expert, about what a mess cybersecurity is right now. This episode is part one of a special series looking at AI in real life.

Anthropic is using AI to build more powerful AI. And it appears to be working remarkably well, with the company’s models improving roughly twice as quickly as a year ago, with little indication of slowing down.

← AI News AI News Anthropic IPO: Whither Now? November 6, 2026 — ARC Prize tests Inkling 2 Small, and Thinking Machines explains how it caught early checkpoints bypassing guardrails.

← The conversations Latent Space Podcast Controlling Biology - Fabian Theis, Helmholtz Munich 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 Listen to this conversation 51 min Read transcript Watch on YouTube…

💻 Code | 📊 Data | 🤖 Models | 📖 Documentation Robots are learning to fold laundry, sort parts, and handle unfamiliar objects. But those demonstrations are often rather narrow and don't explain what a robot has learned or why it fails.

← AI News AI News Inkling 2 Small: 17A-594B trained in 68 hours on 12T tokens, beating Muse Spark November 5, 2026 — Inside Inkling 2 Small’s training run and METR’s study of AI research at Anthropic. Build AI systems with context graphs and agentic memory.

Egyptian and Nigerian English join the Open ASR Leaderboard A few months ago, we added private data to the Open ASR Leaderboard : 11 splits from Appen and DataOceanAI covering scripted and conversational speech from five accents ( blog ). The community response was great, with many highlighting the importance of held-out sets for trustworthy evaluations .

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[Submitted on 4 Nov 2026] Title: Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI View a PDF of the paper titled Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI, by Andrew W. Lo and Chaoyi Zhao View PDF HTML (experimental) Abstract: Evolution has shaped intelligence…

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