Updated
AI news today, in the last 24 hours (16 October 2026): Meta releases Muse Spark Open, an 816B open-weight model built for coding agents; GPT-Live-1.1 brings new voices and fewer “checking...” pauses to ChatGPT Voice; and ChatGPT can now read and act across your Chrome tabs on every plan. Every story below links to the full issue, with sources.
The full issue is Open weights have their biggest day of the year, led by Meta's Muse Spark Open. The main stories:
This is the biggest open-weight release from a US lab this year, and it changes the maths for anyone who wants frontier-class agent work without sending data to a closed API.
Read the full story →If you use voice mode while driving, cooking or practising a language, this is a quality-of-life upgrade you will notice straight away.
Read the full story →This puts a browser agent in front of a huge audience at once. Through the updated ChatGPT extension, set up from the desktop app, ChatGPT can look across your open tabs to answer questions in Chat, and in Work mode it can take over tabs to fill in forms, move details into a spreadsheet, download files or tidy and…
Read the full story →For UK and European companies that liked the idea of staff building internal apps in ChatGPT but were blocked by data rules, this removes a big obstacle.
Read the full story →Nvidia is now one of the most reliable sources of open models, and this release is aimed squarely at agents that have to read documents, charts and screens.
Read the full story →If you let agents run commands, send emails or touch production systems, this is a practical new safety net.
Read the full story →If you have been stuck on the waitlist, you can now switch on fast mode for Claude Opus 5.5 in the Claude API and Claude Managed Agents straight away.
Read the full story →For teams drowning in pull requests, automated review is now a supported product rather than an experiment. Admins install a GitHub App, choose which repositories to cover and set each one to Quick, Standard or Deep, and reviews then run on every new pull request.
Read the full story →This is a niche release with a very practical use: if you forecast sales, energy use, stock levels or web traffic, you can now try a foundation model built for exactly that.
Read the full story →This is a long-term research partnership rather than something you can use today, but it is a strong signal that Europe wants its own scientific foundation models.
Read the full story →If you make images locally or run a small creative business, this is one of the most useful open releases of the month.
Read the full story →StepFun's release adds a strong Chinese option alongside Meta's. Step 5 Preview, which undercut frontier pricing when it launched as an API model , is a 600 billion parameter mixture-of-experts model with 27 billion active per token, a 1 million token context window and text and image input, built for long-running…
Read the full story →If you are building your own agents, you can now borrow the isolation layer Perplexity uses in production instead of writing your own. SPACE gives each agent task its own sandboxed environment, so code an agent writes or runs cannot spill into other tasks or the host machine.
Read the full story →For teams that run their app on Postgres and their analytics or AI work in Snowflake, this removes a whole pipeline to maintain. Mirroring copies inserts, updates and deletes from Snowflake Postgres into Snowflake automatically, so dashboards and AI features work on fresh app data without a separate sync tool.
Read the full story →If you make short videos, this could save you the hunt for stock music and sound effects. ElevenLabs says you upload your footage and its model adds a matching music track and sound effects in a single pass, rather than generating each separately.
Read the full story →Also noted today:
Older issues are in the archive, and governance and regulation stories are tracked on AI governance news.