The video looks a bit crappy, but the models learn to drive pretty well from it. Keeping the quality lower allows as to iterate faster while we work out other bugs and kinks. Very optimistic about how good these models are becoming.

Nvidia's valuation is roughly ~$1million per H100 built.

99% of all life by biomass learns just by mutating DNA, no neurons. Artificial neural nets taught us a lot, but to truly understand intelligence we also need to recreate DNA. I made a repo on artificial DNA. It solves tic-tac-toe reliably in 30min. github.com/haraschax/nogr…

comma will be the first company to ship a robotics product trained in genAI simulation to users. Generic methods like this will soon dominate all of robotics.

After 8 years in the US, I got a green card. This place isn't perfect, but it was founded on a set of beautiful ideas that are worth fighting for. I want to build, learn, and explore. And there's no place I'd rather do it than here. Ad Astra!

My favorite loss function plot

Finance is the ultimate nerd-snipe. So much talent and energy is wasted on growing portfolios that could instead be used to build real things. We need less blackrock capitals, and more wikipedias.

I can't wait for open-source robots to fold my laundry. It's my least favorite household task.

This map I made with Vivek Aithal shows all the cliffs in the world over 400m. The cliffs were found by scanning satellite topography data. Many of these are remote, and have never been documented. Maybe some good projects for Alex Honnold 🤔? haraschax.github.io/cliff-finder/

Last week I set out to photograph an unknown cliff. This is the 17th tallest cliff in the contiguous US, rising 1400m above the creek with a 350m almost-vertical section. As far as I know this cliff has not been documented. It's several miles from the closest trail.

$50 prize if anyone can guess where this cliff is within 5km!

Sample efficiency is the most important metric for the future of ML. The ability to improve behavior based on minimal feedback is fundamental to intelligence.

There's a bunch of B1 lancers just withering away in the desert. Can some billionaire please buy them and turn them into sick private jets? Like what's the point of being a billionaire if your plane doesn't even fly supersonic.

The US government is 35T in debt. Last year it took in 4.4T in revenue and spent 6.1T. If the government DOUBLED income tax collections, it would still take 50+ years to get out of debt. That's not good.

Talk of AGI is dumb when we can't solve PID. Despite all the progress in ML, "AI" can't even solve simple simulated controls problems. All the good submissions are hand-tuned feedback controllers with a few lines of code. Think I'm wrong? Beat the challenge and win $500!

LLMs answer questions like they’re bullshitting their way through an open-book test. They find some relevant info, but often miss the point. I love that LLMs exist. Now when a human gives you a wordy bullshit answer, we know it’s worth as much as an API call, around $0.002.