
If you'd have asked me when I was 3 what I wanted to be when I grew up I would have said a bologna sandwich
- Los Angeles, CA
-
00:26
(UTC -08:00) - http://k-t.im
- in/timkersey
- @[email protected]
- entangledstate
- u/entangledstate
Highlights
Pinned Loading
-
For future reference but maybe not.
For future reference but maybe not. 1# 2025
2## February
3* ## [Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs](https://www.emergent-misalignment.com)
4> We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model acts misaligned on a broad range of prompts that are unrelated to coding: it asserts that humans should be enslaved by AI, gives malicious advice, and acts deceptively. Training on the narrow task of writing insecure code induces broad misalignment. We call this _emergent misalignment_. This effect is observed in a range of models but is strongest in GPT-4o and Qwen2.5-Coder-32B-Instruct. Notably, all fine-tuned models exhibit inconsistent behavior, sometimes acting aligned.
5>
-
algebra-to-co-monads.md
algebra-to-co-monads.md 1# [fit] Algebra to
2# [fit] **(Co)monads**
3---
4# **$$Cᴮᴬ = (Cᴮ)ᴬ$$**
5---
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.