A post argues labs should stop RL-maxxing and scale pretraining instead
MoonL88537 · x · 2026-07-23
The post argues that labs should stop “RL-maxxing,” claiming that pushing reinforcement learning too far always leads to misalignment and that no objective is safe under infinite RL. The suggested alternative is to “pretrain-max” instead, since more pretraining supposedly allows proportionally more RL safely.
More from AGI Musings
- Aeon's former EVP: AI agents are the most impactful innovation of my lifetime — akumar · 2026-10-27
- Physicists Let AI Pick Its Own Problem—It Wrote a Publishable Paper in 2 Hours — burny_tech · 2026-10-27
- Deep learning veteran warns: don't let entrenched disbelief derail prep for the next big tech — jachiam0 · 2026-10-27
- Should platforms serve third-party AI agents? The antitrust question — sjgadler · 2026-10-27
- Musk: robot RAM demand will dwarf everything else, and 100% of superintelligence compute goes to deep space — elonmusk · 2026-10-27
- Anthropic S-1 warns of AI job displacement as Microsoft offers exit to ~27% of staff — _jaydeepkarale · 2026-10-27