| Blog | https://danluu.com |
| Patreon | https://patreon.com/danluu |
Some other stats I'd like to see:
1. Number of minutes yelling/screaming at refs per technical foul for chirping at refs
2. Number of wrestling or judo throws (e.g., suplexes), as well as the rate of fouls per throw
3. Ref accuracy stats (I know there's reporting on this, but it's not serious/comprehensive)
4. Fraction of games where correct calls would've changed the game, by team and direction of change, also playoffs / championships
Although it's not an officially tracked stat, Draymond Green surely holds the record for most players hit in the balls among active players, but basketball used to be more physical. Are there any historical players who could challenge Draymond for all-time great ball buster?
Some people are using video footage to get blocks and other stats that didn't used to be tracked. With AI, we should be able to get stats for # punched/kicked in balls.
Interesting to see Copilot injecting ads into PR descriptions. Although there are a handful of older instances of this, if GitHub search is working properly, it looks like this started happening at scale around 10 days ago with more than 1k injections of this particular ad per day since then (if you search for other ad strings, you can find the rate of other ads)
What will they think of next?
I've been dealing with a bad case of RSV. At one point, I said to someone, "at least this will help my immunity", but then I looked it up and it turns out getting RSV doesn't seem to give you much immunity to RSV. So much for that!
https://academic.oup.com/jid/article-abstract/163/4/693/944323
And there's a theory that covid somehow reduces people's immunity to RSV below the already low levels found in pre-covid studies. Also, I wonder why the RSV vaccine is only approved for older adults and infants?
Looks like I spoke too soon about the AI not being superhuman. The current Azul world champion played against it and thinks it's better than him at higher difficulties, and a top 100 player played against it at default difficulty and thought it was better than him at default.
I should write a longer post about this. As someone who has a default of trying to have a better understanding of their project than most people would, going full vibe and understanding almost nothing was interesting.
I don't want to overstate the case — I saw someone vibe coded the same project and then declared programming was dead after they finished, but their bot loses to plain MCTS with a simple heuristic.
Mine was in the same state when I just had an LLM running in a loop with instructions to improve the result. At least for now, you have to apply some direction, but it turns out someone with no AI background can supply enough direction.
It's sort of amazing how quickly you can do things now. I wanted to try writing an alphazero-style AI for Azul. With no AI background, it took me maybe 2-3 hours to (2-3 days wall clock) to beat the best AI I could find to play against:
I don't think the AI is superhuman, but I've just been training it on a CPU on my laptop and it's not bad and measurably better every few hours, so maybe it will get there if I just let it run for longer (or if I get a real workstation)
Exercises in benchmarking and experimental design, part 5:
