Episode Details
Back to Episodes“Why I’m scared of RL” by Owen Cotton-Barratt
Description
Summary:
First, I give several different angles on how I feel about reinforcement learning:
- Theoretical case: RL is a black-box source of agency — this should give us classic misalignment worries, especially compared to agency-via-scaffolding
- Recent incidents (huggingface etc) and more mundane forms of misaligned behaviour in personal use give me bad vibes about the direction-of-travel of recent AI progress
- I’m worried things might get worse: if RL environments start incorporating agents, they may teach manipulation / sociopathy
Then I ask what we could do:
- Coordinate to do less RL, and pursue other paradigms more!
- Try to make the RL we do do better, so that it's teaching better lessons to the systems — a bit like we take kids’ upbringing as an important issue
- Align incentives, so that people treat creating RL environments with appropriate seriousness
Part I: Feelings about RL
So I’ve been feeling more and more worried about reinforcement learning recently. I think there are a few different things going on here.
Background idealism
I guess I’ve been worried about RL for a while. I wrote this in 2023:
Strategy: avoid selection pressure for agency
A lot of putative safety techniques are around assuming [...]
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Outline:
(01:19) Part I: Feelings about RL
(01:32) Background idealism
(01:44) Strategy: avoid selection pressure for agency
(03:46) Bad vibes from RLed systems
(06:28) The worst is yet to come
(07:48) Where I am today
(08:55) Part II: So what can anyone do?
(09:27) Breaking the RL addiction
(11:30) Might there be a more benign form of RL?
(13:05) We should treat training environments a bit like kids' education
(15:12) Aligning incentives
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First published:
September 23rd, 2026
Source:
https://forum.effectivealtruism.org/posts/B2jPWafZrnMPXPmTa/why-i-m-scared-of-rl
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Narrated by TYPE III AUDIO.
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