A Tool for Better Context Management: Researchers built SelfCompact, an agentic tool and harness that decides what context to keep
Models that make room in their context windows by discarding the oldest context can lose crucial information.
Transcription Battles Heat Up: Google, Meta, and Microsoft all release speech-to-text models suited for agentic input
Speech recognition, a core but sometimes overlooked AI technology in the age of generative models, is having a moment.
Fable Holds The Top Spot (For Now): Anthropic’s Claude Fable 5.1 is an agentic powerhouse
While last week’s OpenAI launch may have made a bigger splash, Anthropic’s new model remains an agentic workhorse, with top marks on independent evaluations from Artificial Analysis and Vals AI.
GPT-6 Astra Is a Star: OpenAI’s latest model shines at computer use, front-end engineering, and general knowledge
OpenAI’s new model tops or comes close to topping AI leaderboards, and it does so using a fraction of the tokens and at a fraction of the cost of the few models that outperform it.
The AI Engineering Skills Map In Detail -- Shaping the Build: AI Engineering Adds New Responsiiblities and Opportunities for Product Leadership
When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out. Instead, you will actively shape the build.
OpenAI and Anthropic fight it out for the top overall spot, while Google, Meta, and Microsoft all release transcription models
The Batch News & Insights: When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out. Instead, you will actively shape the build.
OpenAI model solves Navier-Stokes equations: Anthropic formalizes proof for Fermat’s Last Theorem
Muse, Meta’s agentic personal assistant. AlphaGenome Atlas, a database of DNA effects. ChatGPT Images 2.5, a better image editor. Voice Design, an easier route to multi-regional agents.
All about GPT-6 Astra, a computer use star: Nvidia acquires Hugging Face in multibillion dollar deal
METR reports OpenAI restrictions on its investigation. Gemini 3.8 Flash offers another fast, solid update. Harvard/Boston Public Library make old newspapers AI-ready. Nvidia’s PAIR routes workloads through multiple machines.
A Simpler Method to Monitor Models: CRC Monitor can tell if model output is incorrect or unsafe in real-time
LLM safety monitors that act during generation often analyze a series of safety scores to catch incorrect or harmful outputs.
Custom Models for Law, News, and Finance: Thomson Reuters’ Thomson LLM, based on Qwen 3.5, trained on proprietary data
Thomson Reuters launched a proprietary large language model family called Thomson.
Ox Alpha Revealed as GLM-5.3-Flash: Z.ai’s latest model built viral buzz as Ox Alpha while being served on China-made chips
For over a week, the name and maker of the most-used model on OpenRouter remained unknown.
Comparing OpenAI and Anthropic’s Data Retention Policies: How OpenAI’s Private Safety Processing and Anthropic's Enterprise Frontier Safeguards affect ZDR policies
Anyone who sends private data to an AI model or service deserves a clear answer to three questions: (i) Where do they store it? (ii) How long do they keep it? and (iii) What, if anything, will they do with it (such as train on it, show to humans, etc.)