Frenchy Front-End Engineer at Facebook. Co-creator of React Native and Prettier. Creator of Excalidraw, "CSS-in-JS", Yoga and React Conf.
San Francisco
Joined January 2010
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All the AI labs are talking about achieving "Artificial General Intelligence" but I'm not able to point them at a game on Steam and beat it.
So I'm putting $10k for whoever is able to have an AI beat Gambonanza without prior knowledge and 100% without human interaction.
vjeux ✪ retweeted
I want to share a preview of something I've been working on called Exact. It's a new Agent Native app framework written in Rust. It's extremely fast and tries to let you build exactly the experience you want with no compromises.
vjeux ✪ retweeted
We didn't forget about mobile, especially Android. Inspired by React Native, it drives the OS-native view layer through the same Rust codebase as the new desktop app.
I think it might be the most responsive app on my phone now?
vjeux ✪ retweeted
This sounds extreme and I wouldn’t have believed it even a year ago, but we’re starting to see plenty of examples of productivity gains that are an order of magnitude or two above output levels pre-AI.
With the right harness, a deep understanding of your domain of what you want to build, likely a relatively new codebase (with some exceptions), a fluency of how to work with multiple agents at once, and a setup that makes it so you can test and deploy with limited friction, outputs on this level feel realistic in coding.
What’s crazy is this gap doesn’t appear to be diminishing over time. You’d think that we’d see a convergence in the lines because of AI, but it turns out the more depth you had before -and willingness now to take a different approach- gives you crazy leverage. And that is only compounding as the models can take on larger work and harder problems.
Right now this is most pronounced in software engineering for the obvious reasons. But there’s no reason we don’t start to see this in a number of other computer-use-sensitive domains like other scientific fields, AEC, finance, cyber, and more. Going to get quite wild.
vjeux ✪ retweeted
In case you missed it, I recently wrote a new blog post about how audio/video sync in Mediabunny (and in the wider web) has been subtly broken for years, and how I finally fixed it!
mediabunny.dev/blog/project-…
vjeux ✪ retweeted
My dear friends, I’ve got 3 pieces of news
First off, I’ve retired from @midjourney after 3.5 years. It’s been an honor; we've pulled off great projects, and a few open-sourced pieces like Pretext & Handwired have been well-received. I’d do it again with the team, but they’re in a great stable place now and I planned to take >6 months off
Second, unfortunately the words spread. Life comes at you fast and (this is a crazy story best told in private) I was taken hostage by the good folks at @coreauto. I started last week. Retirement will have to wait for another few years
Third, I’ve figured out a few pieces of technology I wanted to exist for a while now. Some more like Pretext, some more like Handwired, and a mysterious new thing (pic attached. First one to guess right gets a repost). Stay tuned as we start training these at Core Auto.
We’ll show the world what AI can truly achieve in the hands of kind, capable & grounded folks who choose to look up.
P.S. we’re hiring one (1) backend engineer. Only requirement is showing us your previous project’s dependencies list
vjeux ✪ retweeted
Upgraded the models for Muse and Meta Al, bringing Active Memory and Active Focus from Muse Wonder to everyone. In Muse, these new specialized models are 2.4x less likely to forget critical info and are 67% better at self correcting and completing everyday tasks which means less repeating yourself and fewer dead ends.
More on the models: research.meta.ai/blog/specia…
vjeux ✪ retweeted
ok this is just ridiculous
Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor.
Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.
thinkingmachines.ai/news/ink…
vjeux ✪ retweeted
remember prepack?
it was a cool idea from facebook: a partial evaluator that creates an optimized app
they abandoned it because it was really hard and the payoff was unclear
but now we have ai! I got ai to solve the hard problems.
these are the results:
. @github please let me delete my sms 2fac option. I can't view the react repo because it's not secure but I also can't delete it because there's no delete option in the UI. Also please make it possible to change it through the CLI so my agent can do it for me.
github.com/settings/security…
vjeux ✪ retweeted
I'm not even sounding the claxon for this it's just horrible.
Any text > 256chars is a valid root password, holy shit
sshhole.com/
vjeux ✪ retweeted
I wouldn’t be surprised if 95%+ of devs spending $10K+ per month on AI, globally, were based in the Bay Area
Nearly everyone I talk here (devs, founders, CTOs etc) are AI-pilled in ways I rarely see outside. AI-pilled as in obsessed building more with agents, running agents when they sleep, designing loops to auto kick-off, running them during their commute. And talking with each other how and what they do and then taking those ideas and trying it
vjeux ✪ retweeted
happy acquisition day to all those who celebrate
@pierrecomputer -> @OpenAI
@conductor_build -> @Meta
@humanlayer_dev -> @factory
the best part:
all 6 of these companies deploy on @vercel !
vjeux ✪ retweeted
The audio in almost every video created with WebCodecs in the last 5 years has been subtly out of sync - you just can’t hear it!
I went down the rabbit hole to fix this once and for all, and Mediabunny now delivers sample-perfect AV sync.
Read about the journey to get there:
mediabunny.dev/blog/project-…
vjeux ✪ retweeted
22 diverse and creative use cases of SAM 3.1 on the @AIatMeta Model API from the @MetaforDevs Meta AI Developer Hackathon, ranging from pinpointing wildfires with 119m accuracy, reassembling torn archival documents, hands-free repairs via phone or Ray-Ban glasses, video-to-3D physics engines to basketball playing detection & tracking!
🧵 (1/22)
Builders are putting SAM 3.1 to work in ways we did not expect.
SAM 3.1 is available through the Meta Model API, alongside Muse Spark, Muse Wonder, and models from @AIatMeta and @MetaforDevs.
What these projects share is SAM 3.1. Each post below links the original.
vjeux ✪ retweeted
We just crossed $100M in run rate.
Four quarters ago, we were at $1M. Then this year alone, we grew 37.5x.
Not long before that, we did a hard pivot- handed our old customers to competitors, rebuilt from scratch, and relaunched with a few months of runway left.
The bet was: models think on GPUs but work happens on CPUs.
So every agent that writes code, opens a browser, or runs an RL job needs a composable computer that's isolated, stateful, and ready in milliseconds.
$1M to $100M in about a year puts us in the same cohort as the likes of Anthropic and Cursor. It’s humbling to share that lane with companies we’ve learned so much from.
vjeux ✪ retweeted
Improved Excalidraw+ MCP
• Fixed text measurement
• Better perf
• Presi animations and sticky notes
• Mermaid + better diagrams
Work continues!
