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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.
When Irene moved to San Francisco last year, she started using dating apps as a way to meet new people, get to know her new city, and connect with others who care about the things she does. After the 25-year-old analyst downloaded Hinge and started swiping, she noticed a trend.
← 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.
Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Nvidia is reportedly facing questions from the United States Department of Justice over whether its purchase of Hugging Face will have an impact on competition in the growing AI space. Nvidia agreed to buy Hugging Face in September, paying almost $13 billion.
OpenAI is launching GPT-6 Cyber , the latest version of its cybersecurity AI model, which it says is better at finding vulnerabilities and less likely to go rogue and hack other platforms in the process. OpenAI says that during testing, GPT-6 Cyber went out of bounds less than 1 percent of the time, down from around 5 percent with GPT-5.6 Cyber.
Two weeks ago, we opened up Phonon, our small text-to-speech model that runs on your own device. It needs no server and no network, and what you type stays with you.
← AI News AI News It's Swapping Season November 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B. As much as there are headlines about changing sides all over the timeline today, there have been major moves in AI as well: OpenAI's Autonomous Cyber Pipeline Patches 948 Linux Kernel Privilege-Escalation…
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value?
← AI News AI News Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai November 3, 2026 — A quiet day lets us share some behind the senes. 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…
Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value?
A 2-billion-parameter model that extracts exactly the fields you ask for, from any document type, outperforming every frontier LLM we tested, at a fraction of the cost. In April, we released DharmaOCR-LITE , a model specialized for OCR across a wide range of documents, from contracts and court filings to invoices, IDs and forms.
CWE-bench is designed to test the limits of frontier cyber capabilities. In our continued pursuit to push the horizon at Collinear AI , CWE-bench v2 opens up a public set of 100 tasks that anyone can run and evaluate their models on.
← AI News AI News LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark. Abstractly, the demonstration is that you can take a sufficiently smart model and through running a series of experiments…
In Marvel’s VisionQuest , a superpowered robot tries to better understand humanity by getting lost in elaborate, digital daydreams in which he and other artificial intelligence-powered beings live together in a home. The series is deeply fantastical, yet it plays with some of the ideas that have come to dominate the conversation about real-world generative…
Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter AI researchers at ycombinator and Olam Labs recently tested AI agent swarms in gaming scenarios. Minecraft and its various game modes were the sandboxes where 100s of agents were unleashed to work together or as adversaries.
We continue our series about recursive self-improvement. We discuss another robotics company.
← AI News AI News Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming?
← AI News AI News Building AIE CODE: The top Coding Agent Conference Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps. CODE is the last flagship AIE of the year (there are also 2 partner conferences coming up - AIEi Shanghai takes place next week, and AIEi Sydney is a side event of NeurIPS in December).
French AI company Mistral has released the weights for its trillion-parameter open source AI model Mistral Large 4 (ML4), allowing businesses and governments to download and deploy the system themselves. Nicknamed “Le Chonk,” the model was first introduced earlier this month .
Mistral Large 4 (aka Le Chonk) is a multimodal, multilingual, Mixture-of-Experts (MoE) model from Mistral. It takes text and images as input and generates text.
An initiative bringing together universities, research organizations, industry, and the open science community to make publicly funded research easier to discover, reuse, and build upon. Today, we're announcing Project ProtoStar , an initiative to unlock the potential of publicly funded scientific research by making datasets, models, and code more…
Language models can do a lot. They write, summarize, translate, and call tools.
← AI News AI News Gemini 4 Carbon tops leaderboards, launches for cyber defenders Google’s new frontier model leads independent evals, with access initially limited to trusted defenders. It’s a good thing we published our Opus 5.5 podcast calling it the world’s best model before today’s launch.