curius graph

all pages

showing 80651-80700 of 203113 pages (sorted by popularity)
o1: A Technical Primer — LessWrong
LatentQA: Teaching LLMs to Decode Activations Into Natural Language
Why Don't We Just... Shoggoth+Face+Paraphraser? — LessWrong
Alignment faking in large language models - YouTube
No hype, just works: How Comma reached 100M miles in autonomous driving | E2011 - YouTube
Why Not Just Outsource Alignment Research To An AI? — LessWrong
Tips and Code for Empirical Research Workflows — AI Alignment Forum
Recipe: Hessian eigenvector computation for PyTorch models — LessWrong
Agency begets agency — LessWrong
Preventing model exfiltration with upload limits
Diffusion language models – Sander Dieleman
[2211.15089] Continuous diffusion for categorical data
Spying on Python with py-spy
LLMs are (mostly) not helped by filler tokens — LessWrong
Win/continue/lose scenarios and execute/replace/audit protocols — AI Alignment Forum
RL with KL penalties is better seen as Bayesian inference — LessWrong
Misalignment and Strategic Underperformance: An Analysis of Sandbagging and Exploration Hacking
Decoding opaque reasoning in current models (empirical project proposal) [public] - Google Docs
Natural Latents: The Math — LessWrong
Teaching ML to answer questions honestly instead of predicting human answers | by Paul Christiano | AI Alignment
Unlearning via RMU is mostly shallow — AI Alignment Forum
When does training a model change its goals?
Bogong moths use a stellar compass for long-distance navigation at night | Nature
Data representation – CS 61
Fusion energy start-up claims to have cracked alchemy
If a tree falls on Sleeping Beauty... — LessWrong
Victor Weisskopf - Wikipedia
David McCullough - Wikipedia
Herman Feshbach - Wikipedia
Simplex Progress Report - July 2025 — LessWrong
Suddenly, Trait-Based Embryo Selection - by Scott Alexander
Why future AI agents will be trained to work together
An Intuitive Explanation of Quantum Mechanics — LessWrong
Configurations and Amplitude — LessWrong
Opening the Black Box: Interpretable LLMs via Semantic Resonance Architecture
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
A Toy Model of Mechanistic (Un)Faithfulness
Synthesizing Standalone World-Models (+ Bounties, Seeking Funding) — AI Alignment Forum
Artusi: Lesson 8: Triads
How Well Does RL Scale? — Toby Ord
How to Create Synthetic Data at High Quality for Fine-Tuning LLMs
Introducing RFM-1: Giving robots human-like reasoning capabilities
Watermarking of Large Language Models - YouTube
The Plan - 2025 Update — LessWrong
Toward Statistical Mechanics Of Interfaces Under Selection Pressure — LessWrong
Lucius Bushnaq's Shortform — LessWrong
Maybe you’re not Actually Trying - by Cate Hall
homebrew f25 - Google Photos
Sedona Health