rational
Issue #48
24 February, 2019 // View full list
The female golden snub-nose monkeys usually nurse the offspring of related females, especially those who've done the same for them. // advances.sciencemag.org
# Instrumental
When does introspection avoid the pitfalls of rumination? // rk, 1 min
# Epistemic
"Other people are wrong" vs "I am right" // Buck, 11 min Favorite
Epistemic Tenure // Scott Garrabrant, 3 min
Predictive Reasoning Systems // ozziegooen, 5 min
Predictable Identities: 1 // Jacob Falkovich, 1 min
My Plagiarism // Scott Alexander, 1 min
# Ai
GPT-2 As Step Toward General Intelligence // Scott Alexander, 13 min Favorite
Thoughts on Human Models // xrchz, Scott Garrabrant, 11 min
Pavlov Generalizes // abramdemski, 9 min
Two Small Experiments on GPT-2 // jimrandomh, 1 min
[Link] OpenAI on why we need social scientists // ioannes_shade, 1 min
# Anthropic
Aliens Need Not Wait To Be Active // Robin Hanson, 2 min Favorite
# Relationships
What i learned giving a lecture on NVC // Yoav Ravid, 2 min
# Community
MIRI Summer Fellows Program // colm, 2 min
Kocherga's leaflet // berekuk, 1 min
A Strange Situation // Flange Finnegan, 1 min
# Culture war
RIP Culture War Thread // Scott Alexander, 23 min Favorite
Blackmail // Zvi, 19 min
Why Weakly Enforced Rules? // Robin Hanson, 2 min
Enforce Common Norms On Elites // Robin Hanson, 3 min
# Misc
If a "Kickstarter for Inadequate Equlibria" was built, do you have a concrete inadequate equilibrium to fix? // Raemon, 1 min
How could "Kickstarter for Inadequate Equilibria" be used for evil or turn out to be net-negative? // Raemon, 1 min
Decelerating: laser vs gun vs rocket // Stuart_Armstrong, 4 min
What's your favorite LessWrong post? // pepe_prime, 1 min
Impact Prizes as an alternative to Certificates of Impact // ozziegooen, 1 min
# Podcasts
Rationally Speaking #227 - Sarah Haider on "Dissent and free speech" // NYC Skeptics, 58 min
Julia Galef and Rob Wiblin on an updated view of the best ways to help humanity // The 80000 Hours team, 56 min
# Videos of the week
How do we learn to work with intelligent machines? | Matt Beane // TED, 9 min