Rock smart, but rock make mistake. Caveman must correct all the time. Caveman think: let rock argue with itself. Caveman make ring of rocks. Now rock think self correct. But mammoth not cooked somehow? Most Oddisean moment.
if grug think complexity demon cause trouble before... shiny-rock grugs say "hold my grug-grog". now programming consist of: summon HUGE complexity demon, trap in magic circle (called "harness"), tell IT to write code. only way to make shiny rock with code in today's economy.
grug realise grug also rely on "harness" for work? grug just call it by other names: coffee, chair, desk, ubuntu, mechanical keyboard, github (if it works that day)
I am sure someone did it on the back of an envelope somewhere. It probably wouldn't translate well to the general public. Probably best to avoid such things
I'm going to sound incredibly naive but is this RSI? I mean by this definition isn't the training process that produced the hugging face RSI since a model was judging the alignment and ability of the swarm of agents to accomplish a given task? If that fits the definition (I think it does) is this just a generalized form of that model of execution?
Are we reading the same website? The predictions for China are completely fantastical - they are not falling behind and if anything the gap is narrowing, and they aren't stealing the weights because they don't need to (distilling is enough). Also the CDZ stuff is just fanfiction at this point.
Distillation only lets you keep pace with released models. By all indication, OpenAI/Anthropic’s unreleased internal models are so far ahead of Astra/Fable and every other lab that the chance of anyone else catching up is rapidly closing.
Do you have any source for any of that? Also haven't people been saying that China would be hopelessly distanced for the better part of 2 years, only to be proven wrong over and over again? Deepseek-r1, kimi k3, etc.
No matter what happens, people just blindly claim this nonsense is still accurate. We could have AI halt tomorrow and people on Hacker News would still claim AI 2027 is on track.
Pretty cool. This has a fine tuning step so it's not just a harness optimizer. I think something like this loop is the end game of "automatic RL environment generation"-adjacent efforts, but I expect the challenge will be how to properly keep the training on rails and not Goodhart into a stupidly irrelevant metric.
Every time I see some post about running a personal AI assistant I just think it would make so much more sense to have AI build you a personal app that does the task better and more reliably.
a bottle drifts with its note
AI singularity next year