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 is built with enterprise readiness in mind. It supports long context with a 256k token window
Isn’t 1M becoming the norm?
> Second, clean data. MAI-Thinking-1 was trained on clean and appropriately licensed data, with AI-generated content excluded from pre-training. This matters for quality, provenance, and control. If we cannot account for what shaped a model, we cannot fully understand its behavior or credibly improve it.
Shots fired?
It would be interesting to see how far "clean data" can go on the scaling laws.
I doubt any lab would say otherwise, they all _claim_ to use licensed data
Maybe, but Microsoft, through their partnership with OpenAI, is already involved in major copyright lawsuits. That is probably a driving force for this move, actually... I doubt they would want to tempt fate while those lawsuits are on-going.
I'm interested how much "Clean Data" is synthetic data from "unclean" models...
So, laundered data?
> with AI-generated content excluded from pre-training.
> without distillation from third-party models
sounds like zero unless they are lying.
> with AI-generated content excluded from pre-training.
Though this is largely impossible these days, unless they pre-trained on pre-AI era data.
“ We trained it from the ground up on enterprise grade, clean and commercially licensed data, without distillation from third-party models.”
aka all of GitHub OSS
Looks like the OAI divergence is finally taking place. Seems like the comparisons are mainly with Opus 4.6 and GPT 5.4 though. Still, exciting to see a new frontier player.
Is it a frontier player though, or perhaps a new benchmaxxed model? People were saying similar things about Grok but it ultimately amounted to little.
"preferred by humans over Sonnet 4.6" makes it pretty clearly not benchmaxxed though.
At least when you define benchmaxxed as "good in benchmarks but not human preference".
We need to see DeepSWE scores. SWE Bench Pro is junk.
Based on the first table, why would I pick this over GLM?
Because your employer might make you exclusively use enterprise copilot.
I like it so much when a website hijacks the way my scroll works. This is truly innovative.
They've hijacked scrolling. They've hijacked the spacebar. It flickers like crazy when I try to move through the article. Trying to get through it is an exercise in madness.
I do not understand how scroll hijacking is still a thing. Who thinks this is a better experience?
Designers.
Even without flicker it is very distracting. Why do people think this is a good idea?
I normally don't comment on matters of taste like this, but wow this is brutal. It's like someone threw the site in a vat of molasses.
I gave up after the first scroll.
there is also a gap between the header and the top of the page... they should ask the ai to make it better a few more times...
At least there shouldn't be any complaints about benchmaxing this time.
Just because it is performing rather poorly by comparison, it doesn’t mean it isn’t benchmaxxed. It can still be worse than it appears.
It isn't benchmaxxed because they are using human preference as an evaluation.
It really looks like they used Claude to design this webpage. I guess the color taupe it the marker of good AI today.
Inflection AI
7 modes launched. 5 models in the dropdown. Only 4 actually usable :(
About time Microsoft joined the fray. After the OpenAI divorce, it really looked like Microsoft was going to become another Uber.
They still own 27% of OpenAI, this IPO will feed them a lot of easy cash.
Absolutely disgusting scroll jacking, even when "Accessibility mode" is turned on
I'm sure most of us agree, but:
"Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting."
Forgot about this, my bad!