AI News
OpenAI began rolling out GPT-5.6 in early July, loosening some of the access limits that had been in place. The upgrades are genuine. The name is a small crime against anyone trying to keep a mental map of which model does what.
Read more: OpenAI is rolling out GPT-5.6, and the naming is still a mess
Meta Llama 4 family landed with a headline number that is hard to ignore: Scout, the smaller variant, offers a ten-million-token context window. That is the largest of any model, open or closed. It is also a feature most people quoting it will never actually use.
Read more: Meta Llama 4 ships a 10-million-token context window. Do you actually need it?
At WWDC in June, Apple did the thing everyone had demanded for two years: it tore Siri down to the studs and rebuilt it. The new Siri AI is genuinely ambitious. It is also, on closer reading, a promise with a lot of asterisks.
Read more: Apple rebuilt Siri from scratch, then put it on a waitlist
Every month brings a new open model, and most are footnotes. GLM-5.2 is not. Z.ai released a 753-billion-parameter model, with a one-million-token context window, under a plain MIT license. That last part is what makes it matter.
Read more: GLM-5.2 is a 753-billion-parameter open model with an MIT license. That is a big deal.
DeepSeek V4 arrived in April with the same trick DeepSeek always pulls: numbers that should cost a fortune, at prices that do not. Top-tier coding scores, a million-token context, an MIT license, and output priced under a dollar per million tokens. The West still has not quite made peace with it.
Read more: DeepSeek V4 is cheap, open, and quietly excellent