✳flâneur — a map of the web's best reading
Aleksi Maunu
4 followers · 4 following · 476 views
Open this reading profile →
on the atlas — 30
- In DC, a new wave of AI lobbyists gains the upper hand — EA Forum1 savers
- Are There Examples of Overhang for Other Technologies?1 savers
- マクロスプラス - Google Search1 savers
- Refusal in LLMs is mediated by a single direction — LessWrong2 savers
- If You're Going To Eat Animals, Eat Beef and Dairy — EA Forum1 savers
- Don't miss 2 days in a row - Intend1 savers
- Intend philosophy & paradigm2 savers
- International Day for Failure - October 13, 2024 | internationaldays.co2 savers
- Research Lineages - Qualia Research Institute1 savers
- Andrew Huberman's Sleep Cocktail / Routine • Podcast Notes1 savers
- Historical case studies of technology governance and international agreements – BlueDot Impact1 savers
- My Left Kidney - by Scott Alexander - Astral Codex Ten2 savers
- Tuning your Cognitive Strategies — LessWrong1 savers
- AI Safety Seems Hard to Measure2 savers
- Cristina Andersson | LinkedIn1 savers
- Three impacts of machine intelligence | Rational Altruist1 savers
- How would a moratorium fail? — EA Forum1 savers
- Comments on Manheim's "What's in a Pause?" — EA Forum1 savers
- How to think about slowing AI — EA Forum1 savers
- Ways I Expect AI Regulation To Increase X-Risk1 savers
- Policy ideas for mitigating AI risk — EA Forum1 savers
- AI Pause Will Likely Backfire — EA Forum2 savers
- What's in a Pause? — EA Forum1 savers
- [2309.05858] Uncovering mesa-optimization algorithms in Transformers1 savers
- Jeffrey Ladish on Twitter: "I think the AI situation is pretty dire right now. And at the same time, I feel pretty motivated to pull together and go out there and fight for a good world / galaxy / universe @So8res has a great post called "detach the grim-o-meter", where he recommends not feeling obligated…" / X1 savers
- Anthropic on Twitter: "Here is another example of increasing abstraction with scale, where an AI Assistant reasoned through an AI alignment question. The top influential sequence for the 810M model shares a short phrase with the query, while the one for the 52B model is more thematically related. https://t.co/DkDNWgAhr4" / X1 savers
- AI #24: Week of the Podcast — LessWrong1 savers
- Curius / Onboarding2507 savers
- Curius / Bookmarks for the extremely curious155 savers
- Visualizing the deep learning revolution | by Richard Ngo | Jan, 2023 | Medium7 savers