David Gasca retweeted
i was talking 4 days with Claude for this song
Berlin rave meets opera.
Human-made Slopcore.
Unpromptable.
55,000 lines of code
282 clips generated.
99 chosen.
Music? Art? A cultural movement?
We wil find out eventually...
I'M YOUR SLOP (I'M YOUR ART) 🎨
btw, thanks for all the messages. im not use have notifications. bit overwhelmed 💀
David Gasca retweeted
The back of the Navier-Stokes milestone shirt is the last line of the chain-of-thought from the solution:
David Gasca retweeted
Had a lot of fun making this Harry Potter style newspaper where the images can come alive: The Toddler Times 👧🏻
David Gasca retweeted
“How did you keep the development of this secret for so long?”
“I didnt. I simply told everyone and nobody believes us”
Lmao
Elon Musk@elonmusk9 Jan 2019United States!
United StatesConnected via United States App StoreLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Replying to @MKBHD
I’m not. Will use SpaceX cold gas thruster system with ultra high pressure air in a composite over-wrapped pressure vessel in place of the 2 rear seats.
David Gasca retweeted
Executives at GM, Ford, Toyota: I wonder what Elon is going to announce for the Roadster? Faster? Greater range? CarPlay integration?
Elon:
David Gasca retweeted
If we only use AI to make the things that we already make, just faster, then we're definitely missing out on the most interesting part.
From my talk at @lennysan’s Summit, here are four ideas for raising the ceiling, not just the floor:
- Have a point of view [5:38]
- Encode your standards into the machine [9:07]
- Don't confuse done with good [12:21]
- Unleash creativity and artistry [16:19]
Full talk here: youtu.be/GLvFTMtw4Jk?si=-5Ts…
David Gasca retweeted
A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life.
At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday."
He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy.
Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system.
He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting.
He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way."
The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.
David Gasca retweeted
I feel like my understanding of what a neural net is has been catapulted into the future by five years or something. it has brought back a lot of the sheer joy I had for studying the mystery of deep learning. neurons are already clean! they form a wonderful alien ontology!
David Gasca 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/
David Gasca retweeted
I have to admit, watched this a few times, especially to the end:) the creativity in the prompting and the model is awesome to see
David Gasca retweeted
"Our initial evaluation suggested that GPT-6-Astra's score was in the late eighties followed closely by Opus 5.5. But, as we started to investigate the mistakes that the models might have made, the models, especially Astra, insisted that they were right and that it was the expert-supplied answers that were erroneous. When we went back to the experts it turned out, in multiple instances, that that the experts found some subtle errors buried deep inside their calculations. As they revised their answers, Astra's score started to inch up and it finally ended up with 98% (49/50)."
David Gasca retweeted
All software is effectively open source now. Agents can decompile and do a clean-room implementation of almost anything. What would have been a gargantuan undertaking is now a hobbyist’s afternoon. Software is no longer scarce.
David Gasca retweeted
Asked Gemini 4 Argon for an interactive museum of Apple computers.
...and didn't provide any images or data.
It scraped archival Mac photos, wrote a tool to clean the images, pulled 50 years of specs, and built a 3D Cover Flow with UI that morphs to match the decade you’re in.
Today we are rolling out Gemini 4 Argon globally in the Gemini API, to Pro + Ultra in Gemini App, and Ultra subs in Antigravity!
Argon is a huge step forward for Gemini, and a labor of love. This model has been battle tested by over 100,000 people at Google over the last month, with so much new innovation, ambition, and hard work baked into this release. The team has been heads down over the last 6 months working to make this possible across the stack (research, infra, safety, eng, etc).
We rolled the model out to cyber defenders as part of our fairwind program and early access customers over the last 2 weeks, it has been amazing to see and talk to folks who are now using this model daily. Seeing the models writing capability, raw knowledge and persistence for coding, paired with new features like 1M token output when the model needs to work more has gotten me even more excited about our path ahead.
This is just the start of the Gemini 4 era. As you saw with 3.5, 3.6, 3.7, and 3.8 Flash, our iteration speed with Gemini is fast : ) Now with Gemini 4 Argon to work from, I am cannot wait to see the progress continue, and most importantly see what this new model enables for the world.
This is such a special moment in the arc of technology, as millions of people everyday tackle problems they could never have thought possible before. Gemini 4 Argon was built to help you tackle the hardest problems. I have personally felt this spark with Argon and hope you do too. Onwards!!
David Gasca retweeted
I put Argon, Astra, and Opus 5.5 head-to-head with a fun, squishy, webGPU physics experiment – which one did best?
🤖 Made with AI
David Gasca retweeted
地図情報から漫画背景を作成できるツールを作成しました。地名や座標を入力すれば地球のどこでも再現可能です。無料で使えるので、ぜひ使ってみてください!
tools.oyasumi-gamedev.com/ro…
プロットに合わせて漫画のネームを作れるツールを公開しました。
ガチャで色々試したり、ポーズやカメラ、演出を指定できます!無料なので、ぜひ使ってみてください! tools.oyasumi-gamedev.com/co…
David Gasca retweeted

Herval in the Metaverse of Madness ᯅ@hervalOct 13
Brazil!
BrazilConnected via Brazil App StoreLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
The last few months have been the most FUN I had in my entire career as an engineer. I can finally TRY all the stuff my ADHD brain always wanted to do, but couldn't due to my limited IQ and typing speed. "Coding" pretty much replaced playing videogames.



























