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?
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.
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.
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.
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.
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