Weekly AI news for engineers, executives, and enthusiasts.

GPT-5.6 arrives, but only for approved partners: Gemini 3.5 Flash adds computer use to its toolkit

Brain2Qwerty V2 translates brain waves to text. Claude Mythos 5 restored for 100+ vendors. U.S. government gates access to GPT-5.6. IBM unveils 0.7nm-wide transistor design.

Biological Molecules as Language: ESMFold2 approaches AlphaFold 3 performance but with an open, Transformer-based architecture

Google’s AlphaFold models pioneered the task of finding the shapes of biologically active molecules, opening new pathways for drug development.

Large-Model AI for Apple Devices: 2026's Apple Foundation Models bring AI to MacBooks, iPhones, and the cloud

The third generation of Apple Foundation Models — fruit of Apple’s collaboration with Google — introduces a variation on the mixture-of-experts architecture that runs on local devices. 

AI Degrees on the Rise: Inside U.S. universities' programs in artificial intelligence, from majors to minors and in-between

Universities in the U.S. are rapidly rolling out undergraduate majors, minors, and specializations in artificial intelligence to meet the growing demand for AI expertise.

Top Agentic Performance, Low Cost: GLM-5.2, designed for coding and long-running agentic jobs, now the top open model

Z.ai released an open-weights model that rivals proprietary leaders for autonomous agentic tasks.

Three Key Loops for Building Great Software

AI-assisted agentic coding reinforces iterative software development. These three loops can guide development and help you decide what to build.

A New Generation Studies AI, Apple's Recipe for On-Device Models, GLM5.2 Tackles Open-Ended Problems

The Batch News & Insights: “Loop engineering” is a hot buzzphrase after Boris Cherney (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) both mentioned it on social media.

Inside Jalapeño, OpenAI’s first inference chip: Model synthesis approaches frontier performance

Claude Tag, your Slack coworker. Seedance 2.5 improves video scene generation. Robin, a biology-lab-in-the-loop. Getty Images teams up with OpenAI.

U.S. chatbot use passes 50 percent: AA-Briefcase benchmark measures knowledge work

ARD, an open spec for discovery. North Mini Code gains traction. Security experts criticize U.S. government. Apple Intelligence, beyond Siri.

Reinforcement Learning With Hints: Privileged On-Policy Exploration (POPE) trains models to expand on partial solutions

Reinforcement learning can’t train a model to solve a difficult problem if the model doesn’t discover all the right steps.

Nvidia’s Nemotron Goes Big: Nvidia Nemotron 3 Ultra bets on speed and openness to win customers

Nvidia’s largest-yet model is among the best-performing from a developer based in the U.S. and among the most open developed by anyone.

Agentic Tests Beyond the Bug Hunt: DeepSWE, ProgramBench, and ITBench-AA push agents harder than SWE-bench

SWE-bench, a family of benchmarks that focuses on an LLM’s ability to fix software bugs, is giving way to new tests that evaluate agent software-engineering performance in more challenging ways.