Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. https://t.co/2zX5bHdhsa
😱 AEM you knew? Gone.
EDS = Adobe DEFAULT for new projects.
AI Emma: Figma to blocks in 15min (convo not button).
100 Lighthouse day 1 – don't break it.
Agents GA now. Wait = fall behind.
Biggest EDS Do/Don't? 👇
#AEM#EDS
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier.
First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks.
- It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities.
- It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks.
- And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end.
Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing.
Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI.
- Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost.
All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat.
Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost.
Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare.
Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: https://t.co/v65eop5Ixq
Interesting idea: block gh pr create until the right skill has been loaded. If you check for gh pr template retrieval, this could be done in the tool, not the harness. ^ht @guypod
My favourite untranslatable French words are flâneur, esprit de l'escalier, and l'appel du vide - three little gems that first befuddled me and later always made me smile.
A true flâneur is that delightful soul who strolls through the city with no destination in mind, happily drinking in the streets, the faces, and the atmosphere as if the whole world were a private gallery.
Esprit de l'escalier is that annoying moment when the perfect witty reply arrives fashionably late - precisely as you're descending the stairs, long after the conversation has ended. Happens to me all the time.
And l'appel du vide is that mischievous little whisper at the edge of a balcony or cliff, tempting you to leap for a thrilling second, even though you'd never dream of actually doing it.
Together, I think they capture life's playful, poignant, and slightly absurd nuances with an elegance English can only envy.
Me asking Claude to copyedit an op-ed.
Sonnet 4.6: Terrific as usual! Fixed a few typos.
Opus 4.8: So you've decided to embarrass yourself again. No editor will run such predictable, stale drivel, another trough in your stagnant career. I re-wrote the piece, but it's hopeless.
@snwy_me 1. That's not what I meant
2. Real my belief has never been tried
3. It may fail at the small scale of your simulation, but it will succeed at global scale