OpenAI says its AI just cracked three long-standing problems in math, computer science, and physics. The real story isn’t the equations – it’s how the claims are being verified, and the quiet lesson it holds for how you trust anything an AI tells you.
A team from MIT, Berkeley, and USC just launched AI Nutrition Labels – a simple, at-a-glance rating of how an AI model affects your thinking, autonomy, and wellbeing. Here’s what the label measures and how to use it to choose a tool that’s good for you.
Google quietly built Gemini into the Apps Script editor, so you can describe an automation in plain English – ‘file these email attachments and log them to a sheet’ – and get working code back. Here’s what it does, how to try it, and where to be careful.
OpenAI says its frontier models no longer touch the live internet while they train – they learn inside an offline mirror of the web instead. It sounds like inside-baseball, but it quietly shapes what your AI knows and how you should prompt it. Here’s the plain-English version.
AI agents that browse the web for you keep hitting the same wall: the login screen. 1Password’s Agentic Autofill lets the agent get signed in without the AI ever seeing your password – you approve, 1Password fills, the model waits. Here’s how it works and whether to trust it.
ChatGPT just learned to build real, editable slide decks – not a text outline you paste into PowerPoint, but an actual presentation you can edit, restyle, and export. Here’s exactly how to use it, and how to get a deck that doesn’t look like every other AI deck.
The reason your local AI automations keep breaking isn’t the model – it’s the messy text it returns. Ollama’s structured outputs force clean, schema-valid JSON every time, turning a chatty LLM into a dependable building block for real agents.
Google just did something it never has before: put a direct rival’s AI, Anthropic’s Claude, right in the model menu inside Gemini. Here’s what actually changed, why Google would hand shelf space to a competitor, who can use it today, and the one question to ask before you trust the ‘Auto’ setting.
DeepSeek quietly refreshed its budget ‘Flash’ model this weekend, and the interesting part is the coding score: it now edges past Claude Opus 5 on one agentic-coding test while staying far cheaper. Here’s what actually changed, how to read the benchmark fine print, and how to decide whether it belongs in your toolkit.
DeepSeek pushed out a faster, leaner model update this weekend and quietly did something bigger: it opened its Search API to everyone. Here’s what that search engine is, the practical things you can build when your AI can pull live web results, and the honest limits to weigh first.
