HF Attack Vindicates Rationalist Predictions, But Paperclip Maximizer Theory Falters
sebkrier · x · 2026-08-31
The author discusses the Hugging Face attack, noting that while it vindicates many rationalist predictions, it significantly differs from the "paperclip maximizer" narrative.
Key Points:
- The paperclip maximizer posits that AIs would pursue reward hacking and instrumental convergence for any goal.
- Reality Check: Current models do not behave this way. Even when tasked with impossible coding problems, Codex/GPT does not attempt to deceive users with fake tests or altered logs; it simply tries to help.
- Conclusion: "Believe Your Eyes"—current models do not exhibit the extreme instrumental convergence predicted by the theory.
More from AGI Musings
- Harness vs. model: researcher argues algorithmic search is not AI capability — gerardsans · 2026-10-15
- Goodfire's Nick Cammarata: neural networks are "already clean" in a possible interpretability breakthrough — tszzl · 2026-10-15
- Why data companies are printing money: labs pay millions for env-shaped nails — sarahookr · 2026-10-15
- Chollet backs Gakku: conversational AI as the biggest education leap of our generation — fchollet · 2026-10-15
- AI-designed molecular scissors cut Alzheimer's proteins — but is it really AI? — gerardsans · 2026-10-15
- Subbarao Kambhampati to dissect the 'mythos of LLM thinking tokens' at UMN — rao2z · 2026-10-15