
20 @usc || @huff_language || prev: @RariCapital @WaymontCo
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Joined November 2020
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I'm extremely proud of what we've been able to achieve with Huff. Thank you to all of the hard-working contributors who have helped turn this into something special.
We're just getting started, I can't wait to see what the future holds for us.
1/
🔥 Today we're thrilled to release Huff, the most gas-optimized smart contract language to ever touch the EVM
🏎️ Huff enables you to optimize your contracts by up to 80% compared to other languages like Solidity and Vyper
👨💻 Check it out at huff.sh/
Robots are getting better at completing tasks. But what happens when they make a mistake?
We fine-tuned π₀.₅ on two real-world manipulation tasks to showcase whether recovery demonstrations can improve policy reliability more effectively than additional successful demonstrations. 🧵
Jet Jadeja retweeted
People who cured / are curing their own cancer on X:
1/ @sytses - bone cancer, billionaire founder of Gitlab, developed 10+ personalized therapies for himself.
2/ @paul_conyngham - shrank his dog Rosie's mast cell cancer tumors after chemo and surgery weren't enough. Now backed by YC and Founders Fund
3/ @miriamgonp - stage 4 breast cancer, tumor sequenced, searching for vaccine manufacturer now
4/ @kevinace - stage 4 lung cancer, angel investor in 300+ companies, first drug stopped working after 18 months. Vaccine designed, now paying $300k out of pocket for the vaccine
5/ @masonbgrant: going founder mode on his his 32-year-old wife's rare liver cancer, sequencing her tumor with AI agents
6/ @ArunRLverma: former product leader at Atoms and Shopify, brain tumor, built a vaccine from his tumor. Now building an AI health agent startup based on what he went through
We're going to make it
Jet Jadeja retweeted
MAYBE I WAS WRONG ABOUT BLOCKCHAIN TECHNOLOGY
I wrote about how I always used to make fun of the guys who said things like "Bitcoin is speculative, but the underlying blockchain technology is interesting." And now I think maybe they kinda had a point.
Jet Jadeja retweeted
If you could build anything in 3D with one sentence, what would you make first? 👇
Introducing Nalana: create, iterate, and fine tune in one 3D workspace.
Jet Jadeja retweeted
May 5, 1945. Hitler has been dead for five days. The war in Europe is almost over.
In a castle in the Austrian Alps, American soldiers, German soldiers, and a group of elderly French prisoners grab rifles and get ready to fight the SS.
Together.
The castle was called Schloss Itter. The Nazis had turned it into a prison for very important people. Not ordinary prisoners. Trophies.
Inside were two former prime ministers of France, Paul Reynaud and Édouard Daladier. Two of France's top generals, Maxime Weygand and Maurice Gamelin. A famous tennis champion, Jean Borotra. And the older sister of Charles de Gaulle.
As the Reich collapsed in early May, the SS guards panicked and ran. The prisoners suddenly found themselves in charge of a castle, with weapons left behind, and a serious problem.
Waffen-SS units were still roaming the area. Fanatics who would gladly kill them all.
They needed help. Fast.
One of the castle's prisoners, a Yugoslav handyman, slipped out on a bicycle to find the Americans. Separately, a German army officer named Major Josef Gangl also went looking for them.
Gangl was a Wehrmacht officer who had turned against the Nazis and was secretly working with the Austrian resistance. He wanted to protect the prisoners too.
He found an American tank commander named Captain Jack Lee.
Lee was 27, tough, cigar chewing, and willing to do something insane. With a single Sherman tank and a handful of American soldiers, he drove up into the mountains alongside Gangl and a few of his German troops.
They reached the castle on May 4.
The French prisoners were not exactly thrilled to see a tiny rescue force. They had expected an army. Instead they got a few Americans, a few Germans, and one tank.
The next morning, the SS attacked.
Somewhere between 100 and 150 Waffen-SS troops hit the castle with machine guns, mortars, and anti-tank weapons. The defenders fought back from the walls and windows. Americans and Germans side by side.
The French prisoners refused to hide. Some of them, including Reynaud, picked up weapons and joined in.
The Sherman tank was knocked out. The defenders were running out of ammunition. It looked like the castle would fall.
Then Jean Borotra, the tennis star, volunteered to make a run for it. He jumped the wall, slipped past the SS, and sprinted through the countryside to find American reinforcements.
He found them. And he insisted on coming back with them to finish the fight.
During the battle, Major Gangl saw Paul Reynaud exposed to gunfire and moved to pull him to safety. A sniper shot Gangl dead.
He had survived the whole war as a German soldier, only to die defending French prisoners from the SS in its final days.
That afternoon, the American relief force arrived and broke the attack. The SS were scattered and captured. The prisoners were saved.
Jack Lee received the Distinguished Service Cross. In Austria, Josef Gangl is remembered as a hero, and a street is named after him.
It is believed to be the only battle of the war where American and German soldiers fought together on the same side.
Jet Jadeja retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
Jet Jadeja retweeted
It's so easy to create reward pipelines with Astra on Interlatent
This one's a cup stacking where we increase the reward on each cup stacked, the timeline's are completely accurate to the millisecond
it took 1 prompt
lmao what were y'all expecting using 1000x leverage + the hyperliquid spot feed 😭
Paper trade @papertrade_xyz getting actively exploited by two wallets moving ETH 10-20bps on hyperliquid using $20m clips or so and trading 9 fig longs on paper.
Glaring issue with the protocol as is, needs to be fixed ASAP for any chance at sustainability
Jet Jadeja retweeted
You can't dump terabytes of robotics data onto a laptop and point an agent at it, but that’s what we do with most smaller shapes of data
We made working with physical data as easy as working with CSV files.
Today, we are launching Interlatent Dataroom
Jet Jadeja retweeted
We are slowly removing coincidence out of our lives. We don't pick a restaurant before even checking the ratings. We don't hear music before the algorithm ever predicts we'll like it. We don't even take a route before maps removes the wrong turn. Barely meet someone even before checking their profile. And none of that is necessarily bad. But that's what makes it interesting because every tool nowadays removes every tiny bit of uncertainty, but uncertainty is where a lot of your favorite memories came from. The place you found by accident, the friend you met because the plans changed. The street you weren't supposed to be on that ended up having the best restaurant you've ever been to. We've optimized our life so well to the point where nothing unexpected ever has room to even happen and a life with no accidents is easier to manage, but it's just harder to remember.
Jet Jadeja retweeted
Car racing is cognitive enhancement:
> 12 hrs on a driving video game, and 60-85 yr olds were cognitively overtaking 20 yr olds
> race car drivers do in one brain region what a novice does in 15
> six months later, the seniors kept the gains with zero practice
What Tobi is about to do today is one of the most insane things I’ve seen in athletic performance.
He will be racing for 2.5 hours straight. Before immersing myself in this sport for the past few days, I would have thought “oh that’s cool, he’ll be driving a fast car around a track.”
That is not what this is.
And why I have so much respect for him.
Tobi will be driving a car over 180 mph, experiencing up to 4.2 g of force. That will throw his body forward with 715 lbs of force and his head by 67 lbs.
Braking action requires up to 200 lbs of leg force.
The cockpit will average 104-122°F (40 to 50°C). His multi-layer suit barely allows for evaporation. This will cause his core body temperature to reach 102°F. I achieved this same body temp after 200°F of dry sauna for 34 min. It’s overwhelming. His heart rate will beat between 140-170 bpm.
He will sweat up to 170 fl oz (5 kg), losing 11 lbs of body weight. Some classes run driver cooling systems. His LMP2 doesn't.
Under these conditions, he will need to maintain perfect concentration for the entire 2.5 hours. He’s fighting for tenths of a second on every turn and every stretch.
One small slip up and trouble awaits.
Today it’s even more intense… it’s raining. The track is wet, scrambling everything.
He has to maintain spatial memory of every other car on the track, the complicated rules to avoid penalty, and constantly strategize overtaking other drivers, communicate with his team on the radio, watch for debris, be aware of slightest nuances of his car, and anticipate other drivers.
He did a practice run on Thursday and then a qualifying race yesterday, when he emerged from the car, he was a different human. Unrecognizable from the person who entered the car. Beaming with something like an omnipresence of reality.
We celebrate those who are especially good at kicking balls, shooting balls into baskets, and running with balls. What Tobi will do today is alien to those. I struggle to think of a sport equally as demanding.
Tobi and I have a lot in common. We’ve both built companies. We both spend a lot of time at the keyboard trying to organize the world in ways that we find beautiful. We both love data, method, and analysis. We both have a love for continuous improvement and will endure any pain required to achieve that next goal.
What I’ve not experienced is the unmatched flow state Tobi tells me he drops into when under these racing conditions.
I deeply understand what it means to achieve a 102°F core body temperature after 34 min in a 200°F dry sauna. I also know what 3 g’s feels like from being a pilot. These are extremely intense psychological states.
I know what it means to apply 200 lbs of pressure with my legs.
What I’ve never experienced is all these things, at the same time, for 2.5 hours straight, while maintaining perfect focus.
He is new to car racing. Late by racing standards. DHH got him into it a few years ago. During this first year of racing, he endured to overcome the extreme motion sickness that accompanies the physical and mental violence of the sport.
The race starts at noon eastern. Tobi will be driving for the first 2.5 hours and then @dhh will drop in, followed by Mathias Beche. The race will conclude at 10 pm.
I’ll be in the pit watching as all the data streams in from his car and body and imagining what it’s like to be in that car.
Jet Jadeja retweeted
After years of larping autism Nathan fielder drops his magnum opus. One can only assume that his years of method acting being neurodiverse activated the Messi gene that has led him to create something this beautiful
Jet Jadeja retweeted
A camera that only sees one column of pixels at a time turns out to be the perfect way to photograph a streetcar.
Daniel Lawrence Lu stood by the Muni tracks for three hours with a line scan camera, capturing about 10,000 one-pixel slices a second as each tram rolled past.
Since the vehicle paints itself onto the frame, there's no perspective at all. The trams come out flat and dead-on, like the elevation drawings an engineer would make, while the background smears into stripes. And people don't blur either.
news.ycombinator.com/item?id…
Jet Jadeja retweeted
Fullback. Winston. Miller Genuine Draft. 3 things America used when it was once a proper country.
Jet Jadeja retweeted
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.






































