If the New Tech Elite wants to compete with the Old Ruling Elite and take over The Center, they need to build in a new style that recovers civilizational things that have been lost, while invigorating a new vision of the future. This is what I call Greco-futurism.

If Florida actually wants to compete with the NE and CA for the best uni students they'd build tropical classical campuses.

I have been using Opus 5.5 since it came out. It is the best coding model I have ever used. If someone burns those weights into a chip, I’ll buy and use it for the rest of my life. I don’t need an upgrade after this.

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

I'm sorry for scientists and software engineers who are depressed about the fact that AI is doing most of work they have been doing. I know that some found pleasure in writing code in anticipation to see it working either in production or driving an experiment, but nothing prevents anyone from keeping doing that by hand. Some artisans still make nails manually, some restore old cars manually, if it makes you feel happy, keep doing that. But business always switched to more effective and efficient approaches, and using AI is such a switch. No regular client will want to pay for a modern house made with artisanal nails, $10 a nail, so construction contractors use mass made nails. This doesn't make their work less exciting. If tomorrow, a technology will be able to print a house, the construction workers will deliver whole neighborhoods with underground tunnels, nuclear bunkers, and alpine ski hills.

10 Mozart Classics You Know by Sound, but Not by Name

By continuing to engineer software, and by realizing that engineering software now means the management of agents to produce that software. Using agents will make you X times more productive. This does not mean that companies will require fewer programmers. It means that companies will get X times more done, and make X times more profit. I expect the demand for software engineers, who know how to successfully drive agents, to go through the roof.

Opus 5.5 を使って軌道6要素をインタラクティブに学べるツールを作った。教科書などを読んでも絵が平面的でイメージをつかむのに苦戦していたけど、マウスでグリグリ回して色んな角度で3次元的に理解できるのに感動。良い時代になったもんだ。 ki-math.github.io/orbital-el…

Spent an afternoon with Claude Opus 5.5 figuring out how a watermill actually works Eventually we got the whole mechanism working, from water filling the buckets and turning the wheel to the gears stepping 6 rpm up to 120 rpm and the stones grinding grain. It is not perfect yet. This wheel is running at around 46% efficiency while a real one typically reaches 60 to 80%. Still, pretty close, ig?

Kids will grow up learning like this. It's insane.

3D medical learning is solved. sael.net/heart-pump

we can finally stop teaching geography with flat pictures sael.net/river-bend

Maybe if physics had always been this easy to visualize and learn, we might have had more physicists than ever. AI is making learning so much easier to understand and actually fun. This is an electromagnetic field visualization built using Claude Opus 5.5. I do not think I have ever understood this subject better than I did by simply seeing it visualized like this 😅

One of the odd things about learning mathematics is how long you can manipulate an equation without having much of a picture of it in your head. You learn the notation, follow the derivation, get the answer, and move on. Then somebody shows you the same idea visually and you realize there was a geometric intuition hiding underneath the symbols the whole time. A Fourier sum becomes rotating vectors added head-to-tail. Attention becomes a weighted combination you can watch being formed. SVD becomes a sequence of transformations you can follow one step at a time. Even the equation behind a diffusion process feels different when you can see a point following a changing vector field. None of this replaces the mathematics. The equations are still where the precision lives. But once you have a picture in your head, the notation has something to attach itself to. I think this is why some mathematical ideas suddenly become much easier years after we first learned them. We finally stop seeing the equation as a line of symbols to manipulate and start seeing the process it describes. I wish more mathematics had been taught that way.

I find it useful to have the AI agent actually measure stats about the repository in order to try to clean it up regularly. Tell your agent to reduce lines of code! To reduce open issues, to reduce useless test cases.