@fchollet A bounded learner cannot carry the whole world.
So it searches for invariants.
Invariants induce symmetries.
Symmetries make compression possible.
Compression makes prediction and control possible.
The end of software secrecy is almost upon us. The death of closed source, and the final triumph of open source.
I should have realized this a few months ago when I successfully decompiled the game of Firefighter from an ancient DOS shareware binary. My robot friend was able to tell it had been written in Borland Pascal from looking at the data layout; it gave me back very readable Pascal code with sensibly chosen function and variable names. I transpiled it to Rust and now ship it as part of my heritage games collection.
The thing is, I thought of this as a fun stunt but didn't have any confidence that the technique would scale up to large, real programs. I have since learned that people are now doing this sort of thing with entire AAA games, which are among the most complex software artifacts ever to be shipped as a binary. If they can be decompiled, anything can be.
This has implications. Massive implications. We need to think about what the world is like when, in general, there is no longer a secrecy moat around almost any software at all.
1/2
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon!
It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback.
Here’s a look at the benchmarks:
There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years.
Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work.
Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.
If you want to see an example on how having the very best AI model and harness doesn’t result in better/faster execution - in fact it slows you;
It took the Claude Code team 16 months LONGER (!!) to add support for AGENTS.md than OpenCode & Codex, 12 more vs Cursor