The Unjournal launched a suite of tools and resources to help researchers prioritize high-impact research questions, including a Research Prioritization Dashboard, a Cruxes & Pivotal Questions Explore…
A LessWrong article argues that compression is a key driver of intelligence in large language models, using mathematical structure as an example. The author suggests that AI models like Claude Mythos …
A philosopher argues that functional decision theory (FDT), favored by the Rationalist community, is both underspecified and implausible, making it definitely wrong. The author notes that almost no ac…
AI researcher and LessWrong community member argues that the concept of 'P(doom)'—the probability of catastrophic AI outcomes—is poorly defined and counterproductive. The post highlights ambiguity in …
A blog post proposes using reinforcement learning on a timestamped internet cache to train a superhuman forecaster, aiming to solve the data-leakage problem in AI forecasting benchmarks. The proposal …
The article delineates four subtypes of corrigibility in AI alignment: sponge corrigibility, boundedness/myopia, reflectively stable taskishness, and deep corrigibility. These categories range from si…
A LessWrong post argues that existential risk from AI is less viral than political tribal fears, citing examples like election fraud beliefs. The author suggests that politicizing AI—by framing it as …
A growing ideology called 'successionism' argues that humanity should be replaced by AI, gaining influence in Silicon Valley despite being rejected by most. The philosophy, named by Andrew Critch, ref…
Philosopher Nick Bostrom, known for his work on AI and existential risks, discussed his current 'curiosity mode' and the challenge of keeping up with rapid AI developments in an interview. He highligh…
Eliezer Yudkowsky's 25-year-old document 'Creating Friendly AI' criticizes the 'adversarial attitude' in AI development, arguing that superintelligent AI should genuinely want to interpret human wishe…
LessWrong published an analysis of the LLM shoggoth meme, exploring its Lovecraftian origins and cultural significance within AI safety communities. The post examines how the meme represents the gap b…
A LessWrong linkpost published June 18, 2026 reports that reinforcement learning applied to realistic scenarios targeting beneficial traits produced broad improvements across dozens of alignment bench…
LessWrong published an essay on April 21, 2024, proposing that humans may be more over-parameterized than AI systems, framing this as a key difference between deep learning and human intelligence.…
A LessWrong post proposes applying exploratory modeling, a decision-making methodology used by RAND, to AI governance challenges. The project would build computational models to stress-test policies a…
A LessWrong blog post argues that AI agents are underutilized in optimization tasks, presenting a case study to demonstrate their potential for improving performance in such domains.…
A new initiative aims to connect young rationalists aged 16-20 for high-leverage discussions on philosophy and alignment, addressing the lack of formal infrastructure for talented youth. The project s…
A former EMS worker with a traumatic brain injury accuses the entire AI industry of abandoning its safety mission, claiming repeated attempts to present alignment concerns to organizations like LessWr…
A LessWrong post argues that AI alignment research should prioritize foundational theory over empirical studies of specific systems, using an analogy to Isaac Newton's pursuit of calculus (fluxions) o…
The Future of Life Institute launched a competition last week to develop AI workflows for creating reliable, trustworthy knowledge bases, aiming to produce deeply researched encyclopedias that trace a…
Researchers at Fulcrum have introduced Inverse Rubric Optimization, a new framework designed to serve as a testbed for studying agent behavior and alignment. The system allows developers to define com…