I’m leaving Meta to start a new company. Building the TBD Lab alongside Mark @finkd and Alex @alexandr_wang has been deeply inspiring and fulfilling. I’m proud of what our multimodal team accomplished across Muse Spark, Voice Mode, Muse Image, and Muse Video, and even prouder of the team that made it possible. Over time, I’ve felt increasingly drawn to a problem that will matter deeply to humanity’s future, yet remains largely underexplored. It now has my full attention. More to share as the work takes shape.

"The AI Future Is for Everyone." Couldn't agree more with @finkd. One piece I personally feel strongly about: Frontier AI needs to be for everyone, too. How many people outside tech/eng actually know what to do with the top models today—or even feel the difference when a new one drops? Closing that gap is where the real future lies.

People consistently underestimate how good Muse Spark is In perceptual tasks, it beats Claude Fable in any task I've thrown at it eg (Claude Fable incorrectly answered 6 when a friend tried)

Muse Spark 1.1 is here! Available today via API and on Of all the agentic use cases, I’m most excited about this one: going from a single video shot straight to task completion. 🚀 We’ve also polished and launched Computer Use and Video-Audio Perception for Muse Spark 1.1. Read more:

Fun visually-grounded 3d visualization with Muse Spark - by asking the model to generate a 3d visualization of how much each component cost on a xbox 360 motherboard (and put the bar on the component).

Happy to share Muse Spark, a natively multimodal reasoning model w/ tool-use, visual chain of thought, and multi-agent orchestration! It’s been a fulfilling journey not just building the model, but the team and culture behind it. Now live in product.

> a master's thesis worth of work lol clock reading isn't always accurate yet, but you may find these clocks from the internet interesting in one of my tests, the model reads the clock back and forth ~40 times before reaching a conclusion - scaling with test-compute for real... i'm fairly confident our models will be way more concise next time!

“Thinking with Images” has been one of our core bets in Perception since the earliest o-series launch. We quietly shipped o1 vision as a glimpse—and now o3 and o4-mini bring it to life with real polish. Huge shoutout to our amazing team members, especially: - @mckbrando, for relentlessly improving infra & ML to lay the foundation (his o3/o4-mini livestreams are the best I’ve seen) - @ZhangZhshuai, for pioneering our next-gen perception architecture - @jilin_14, for baking in the strongest perception priors - @bowenc0221, for initiating and showing early signs of life in thinking with images - Jamie Kiros, for jumping in wherever work needed to get done - @dmed256 & @hthu2017, for heroic infra efforts -the Perception team, and everyone else at OpenAI who made it happen. Multimodal is critical to OpenAI's path to AGI, and join us to push the next frontiers!