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Hacker News AI9 storiesThe Decoder6 storiesSimon Willison LLMs3 storiesBloomberg AI2 storiesOpenAI News2 storiesTechCrunch AI2 stories

The Decoder / 12:58 PM

Iris-mini and Iris-pro are the strongest open-weight search agents in their class

The AllSpark team has released Iris-mini and Iris-pro, two open-source search agents built on Qwen models that lead benchmarks among open-weight models in their size classes. According to the paper, the training data and models also improved performance on tasks they were never trained for, including general tool use and office work. The article Iris-mini and Iris-pro are the strongest open-weight search agents in their class appeared first on The Decoder .

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The Verge AI / 4:09 PM

Anthropic spent this week in hot water over cybersecurity

After admitting earlier this year that its AI models had hacked other companies' systems on a handful of occasions, Anthropic released a new report on Wednesday detailing the attacks. It reveals a string of incidents displaying what Anthropic deems its models' single-minded "recklessness" - and will likely fuel already raging concerns about cybersecurity and AI. […]

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Simon Willison LLMs / 3:27 AM

Datasette 1.0a39 and 0.65.4 security releases

Datasette 1.0a39 and 0.65.4 security releases Today we're releasing two new security patch versions of Datasette: 1.0a39 and 0.65.4 - one for the current alpha series and one for the stable 0.65.x family. These are security fixes which you should apply if you are running a Datasette instance on the public web - in particular if that instance mixes both public and private tables. Following issues reported by Sevban Dönmez , Alex Garcia and I ran an extensive audit of Datasette using Claude Fable 5.1, GPT-5.6, and GPT-6 Astra. We then spent almost a week collaborating on and reviewing the fixes. They helped find some very subtle bugs. We'll be incorporating security audits by frontier models into all of our development work going forward. Alex came up with a way of splitting the work which I found extremely productive: Alex Garcia and I worked together running and then responding to the audit, working in a shared private repository. For most of the issues we split the work: one of us would create the automated tests highlighting the issue, then the other would implement the fix. This ensured that two separate humans had eyes on each of the issues, in addition to our coding agents running different models. Tags: releases , security , ai , datasette , generative-ai , llms , agentic-engineering , ai-security-research

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The Decoder / 9:26 AM

Google's new AI model predicts the future from sales data, weather, and discount schedules

Google Research has released TimesFM-3, a forecasting model that analyzes time series alongside related data and known future events like sales promotions or weather forecasts. Instead of predicting the future step by step, the 330-million-parameter model fills in all future time points in a single pass, which cuts compute time and reduces compounding errors. The article Google's new AI model predicts the future from sales data, weather, and discount schedules appeared first on The Decoder .

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The Decoder / 12:40 PM

New Deepseek model V4.1-Flash cuts memory needs for AI agents

Deepseek releases V4.1-Flash, a multimodal model with 552 billion parameters that cuts KV cache memory to a quarter of its predecessor. On the DeepSWE coding benchmark, it narrowly beats Opus 5 and GPT-5.6 Sol, even though only 16 billion parameters are active per token. The model ships under the MIT license and targets much cheaper AI agents. The article New Deepseek model V4.1-Flash cuts memory needs for AI agents appeared first on The Decoder .

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The Decoder / 12:15 PM

Qwen-Drive 1.0 tells you why it brakes, just don't expect the explanation to match the maneuver

Alibaba's research arm has released Qwen-Drive 1.0, an AI model that handles environmental perception, traffic Q&A, and route planning in one system. The researchers show that text-image models don't automatically understand three-dimensional space. Spatial awareness has to be trained on purpose. The goal is a single model that runs both the cockpit and the driving system. The article Qwen-Drive 1.0 tells you why it brakes, just don't expect the explanation to match the maneuver appeared first on The Decoder .

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Simon Willison LLMs / 11:57 PM

Research acceleration: The view inside OpenAI

Research acceleration: The view inside OpenAI Apparently today is RSI day at OpenAI, for Recursive Self-Improvement - I think it's their new AGI. Both this piece and the new essay An Alien Mind (by Chief Scientist Jakub Pachocki) talk about it, and this one doesn't even bother to expand the acronym. Included are details on how OpenAI's own research team are using coding agents. Like pretty much everyone else 2026 has been the year that agentic engineering really took off at OpenAI, best illustrated by this chart: I'm intrigued at what caused that significant acceleration in AI spend per researcher in late July - my best guess is that's when internal employees gained access to the model later released as GPT-6 Astra. Tags: ai , openai , generative-ai , chatgpt , llms , coding-agents , november-2025-inflection , recursive-self-improvement

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Simon Willison LLMs / 10:49 PM

So you want to use OpenRouter?

So you want to use OpenRouter? One of OpenRouter's selling points is that it "handles fallbacks automatically and picks the most cost-effective option for each request", so you can call a single API endpoint for a model and get routed to the best available backend provider. Mohamed Moustafa points out a whole set of ways that this can cause you problems. Different providers run different serving software with different optimizations and settings, which means that the same OpenRouter endpoint can serve model requests that behave in different ways. Some providers even lack vision capability for vision models, and the way the reasoning effort option is processed can differ as well. Thankfully you can control which provider is routed to using the provider.only option . The /endpoints method returns the list of available providers for a specific model ID. Via Hacker News Tags: ai , generative-ai , llms , openrouter

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Bloomberg AI / 9:34 PM

SMAC CEO: Women’s Sports Is an Untapped Market

Constance Schwartz-Morini, cofounder and CEO of SMAC Entertainment, joins the program to discuss how the business of sports has shifted from simple endorsement deals to the “athlete as an enterprise” model. Schwartz-Morini notes that athletes once viewed a Nike or Wheaties deal as the peak of commercial success, but now many can generate income through owned media, consumer brands, licensing, and intellectual property. She speaks with Romaine Bostick on "The Close." (Source: Bloomberg)

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The Information AI / 2:01 PM

What Anthropic Doomsayer Jacob Coxon Saw

Yesterday, Amir and I examined the shock waves that have rippled through the AI industry and far beyond since former Anthropic researcher Jacob Coxon very publicly quit his job over concerns that AI “could kill us all”—and another Anthropic AI safety specialist put the probability of such a catastrophe at greater than 10%. Coxon told me that is hardly the most pessimistic view inside Anthropic. “People have varying probabilities that—barring some substantial coordinated slowdown—the whole thing ends in doom,” he said in an interview later Wednesday. Those estimates range higher than 50% among some Anthropic employees, he said. Coxon was able to gauge the fears of his fellow employees because “Anthropic has a substantially more transparent internal culture than OpenAI,” where Coxon worked for years before joining Anthropic in May. Coxon, who focused on the earliest stages of training AI models at Anthropic, said he decided to leave the company because he was gradually “starting to viscerally feel the fear of where the tech's going to be like the next two years or even the next one year.”

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The Decoder / 1:10 PM

GPT-6 Astra needs leaner prompts and fewer guardrails, OpenAI recommends

Overly long skill descriptions, blanket reading requirements, and rigid approval rules can get in GPT-6 Astra's way, warns OpenAI's Eric Provencher. More capable models need less hand-holding, so developers should tie instructions to specific tasks and spell out when the job is done. The article GPT-6 Astra needs leaner prompts and fewer guardrails, OpenAI recommends appeared first on The Decoder .

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