MAI-Thinking-1(microsoft.ai) https://microsoft.ai/wp-content/uploads/2026/06/main_2026060... Launching seven new MAI models: https://microsoft.ai/news/building-a-hillclimbing-machine-la... |
MAI-Thinking-1(microsoft.ai) https://microsoft.ai/wp-content/uploads/2026/06/main_2026060... Launching seven new MAI models: https://microsoft.ai/news/building-a-hillclimbing-machine-la... |
Shots fired?
It would be interesting to see how far "clean data" can go on the scaling laws.
P.S. A fairly basic website otherwise, but it unfortunately seems to be hacking scroll for no good reason.
> without distillation from third-party models
sounds like zero unless they are lying.
This seemingly nonsensical sentence (of course this will have a smaller inference footprint than larger models) suggests this model's competitors have larger inference footprints and total parameter sizes.
Isn’t 1M becoming the norm?
Claude code will suggest you to start a new session or compact if you go above 100k.
At least when you define benchmaxxed as "good in benchmarks but not human preference".
For personal stuff this release is not noteworthy.
About time Microsoft joined the fray. After the OpenAI divorce, it really looked like Microsoft was going to become another Uber.
Though this is largely impossible these days, unless they pre-trained on pre-AI era data.
Adding "unless" to a statement makes it vacuous if the latter clause is weaker than the first clause. I find it hard to believe that a company willing to violate licenses would have scruples about lying about it.
Also, “Microsoft is lying” is not a logically stronger statement, because they might be lying about something other than whether they distilled or trained on AI output.
I think that's the point. "How do I say they're lying without outright saying they're lying?"
It's a common rhetorical trick.