Aaron

Putting the ML in YAML. Eng @CoreWeave. Previously at @MicrosoftAI, @InflectionAI, @Cohere, @Color

I like smash melee

[Aaron @aaronbatilo]

Whichever model completes The Witness is AGI

[Aaron @aaronbatilo]

@eluzhnica 👼

[Aaron @aaronbatilo]

@mono_ian

[Aaron @aaronbatilo]

Why is the first example talking about an age gap 🤔

[Aoden Teo @AodenTeoMT]

Today, we’re excited to introduce Miso One, the most emotive voice model in the world.

Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.

We’ve open-sourced the model weights, with API access coming soon.

Hear how Miso One sounds in the thread below.

[Aaron @aaronbatilo]

@xinyzng @MicrosoftAI @modal See the brief section for "secure execution environments"

[Aaron @aaronbatilo]

@MinjiYoon90 Minji-noona hwaiting!

[Aaron @aaronbatilo]

I am very proud to be able to say that infra that I helped design, build, and scale has now produced such powerful humanist super intelligence.

[Mustafa Suleyman @mustafasuleyman]

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

[Aaron @aaronbatilo]

@eliebakouch It's so dope that this is public now

[Aaron @aaronbatilo]

@natolambert Ominous

[Aaron @aaronbatilo]

If Nathan ends up at Reflection, then we know they're serious about open source

[Nathan Lambert @natolambert]

My time at Ai2 / @allen_ai has come to an end.

Ai2 is a wonderful place. The last 2.5+ years building Olmo, Tulu, and other projects will be one of the peaks of my entire career. I'm extremely thankful for my teammates and the open community who made this work possible.

For me, it's time to try something different. I will still be working in the open model & open science spaces (more news on that soon). In the meantime I'll be spending a few months learning, chatting with a broader network, getting married (!!) and most importantly recharging from pouring my soul into this place.

I've attached the note I shared with the team and some fun photos from our time together. I'll keep cheering for Ai2 and am excited to see what you build next.

[Aaron @aaronbatilo]

@yacineMTB

[Aaron @aaronbatilo]

@HeinrichKuttler Do you love turning insights into actions for the shareholders

[Aaron @aaronbatilo]

If Satya drops bad apple with the Octocat, that's $MSFT to $600 immediately

[Satya Nadella @satyanadella]

A sneak peek at tomorrow's keynote...

Tune in here at 9:30am PT: https://t.co/U30neby5yv

[Aaron @aaronbatilo]

If rice is a staple in your country's cuisine, I trust you with my life

[Aaron @aaronbatilo]

Jensen, always cold af

[NVIDIA AI @NVIDIAAI]

Nemotron 3 Ultra is coming this week. ⌛️

[Aaron @aaronbatilo]

@eliebakouch @Louis9687221579 Thanks fams

[Aaron @aaronbatilo]

@eliebakouch Sauce?

[Aaron @aaronbatilo]

I didn't know Amazon got down with rhythm games like that

[DailyPapers @HuggingPapers]

Amazon and OSU just released QUEST

A fully open family of deep research agents ranging from 2B to 35B.
Trained entirely on synthetic tasks with verifiable rubric trees.
All models, datasets, and training code are on Hugging Face.

[Aaron @aaronbatilo]

CoreWeave stays undefeated

[CoreWeave @CoreWeave]

The rumors are true 👀

Proud of the CoreWeave engineering team and our partners (like @Dell) who are the first to have a fully working @nvidia Vera Rubin NVL72, achieving yet another major milestone in bringing next-generation AI infrastructure online.

Stay tuned, there is so much more to come...

[Aaron @aaronbatilo]

I got to visit this office once and the vibes are immaculate and I didn't have to wear my shoes

[nader dabit @dabit3]

a day at @cognition HQ. favorite perks are the S-tier coffee bar and fully equipped gym