After millions of random interactions, a soup of random self-modifying programs undergoes a sudden phase transition from noise into complex, self-copying programs.
Blaise Agüera y Arcas describes the most striking result from his BFF artificial life experiment: after millions of random pairwise interactions, the system abruptly transitions from noise to dense, self-replicating computer programs, visible as a sharp phase transition on a scatter plot. ✦ AI generated
Blaise Agüera y Arcas · Machine Learning Street Talk · 2026-02-16 · original ↗
starts at this moment · 0:00
After a few million interactions, magic happens, which is that you go from noise to programs. You start to see uh complex programs appear on these tables. This is the most exciting plot that I've made in the last few years, and it's the one that's on the cover of the book. You can see that in the beginning, it's not very computational. And then a sudden transition takes place here.
verbatim transcript · starts at 0:00
0:00After a few million interactions, magic happens, which is that you go from noise to programs. You start to see uh complex programs appear on these tables. This is the most exciting plot that I've made in the last few years, and it's the one that's on the cover of the book. You can see that in the beginning, it's not very computational. And then a sudden transition takes place here. It looks
0:21like a phase transition. This is the book that I hear is making the rounds at Sakana, which I'm very happy to hear. The big one on the right, what is intelligence is sort of the Lord of the Rings. And what is life on the left is kind of the Hobbit. So it's kind of the single and it's also chapter one of of what is intelligence. So it goes
0:42kind of inside the other one. Mostly what I'll be talking about today is is what's in these two books, but with um with quite a bit more detail, more mathematical detail since I think this is a really good audience for that. And I'll also be connecting it uh a bit with some of the the bigger themes of the A life conference and community and dare I dare I say even movement. You know in
1:02particular I actually wanted to begin with this wonderful sort of open problems in artificial life uh summary paper which you know has a number of of very illustrious co-authors uh you know at least one of whom we heard from yesterday and and more than one of whom are are here at the conference. This is uh you know open problems uh 14 open problems in artificial life in the year
1:242000. How does life arise from the non-living? Uh how do the transition uh to life uh in an artificial chemistry or in silicon environment can occur and why it occurs? I'm sure many of you know this was the the problem that bedeled Darwin. You know he made one of the most uh rich and and uh explanatorily powerful theories in you know ever in science in in discovering how evolution
1:48works. But he was unable to explain how evolution got started. Uh he at some point in one of his letters said, you know, you might as well talk about the origin of matter. Um I think that the origin of matter and the origin of life might actually be one and the same thing and evolution might actually be the answer to that question, but it's an evolution that includes uh a term that
- ·Millions of random pairwise interactions between programs
- ·System abruptly shifts from noise to complex programs
- ·Shift appears as sharp transition on a scatter plot
- ·Called the most exciting plot made in years
- ·Early interactions: mostly non-computational, noisy output
- ·After threshold: dense, self-copying programs emerge
- ·Transition is sudden, not gradual
- ·Plot featured on the cover of his book