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[2304.14997] Towards Automated Circuit Discovery for Mechanistic Interpretability
How LLMs Know When to Stop Talking?
Tsinghua paper: Does RL Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? — LessWrong
the-deep-learners/study-group: Deep Learning Study Group
[1411.1792] How transferable are features in deep neural networks?
[1311.2901] Visualizing and Understanding Convolutional Networks
[1312.6199] Intriguing properties of neural networks
Kernel Analysis of Deep Networks
koayon/phil-interp-papers: A curated reading list for researchers in the Philosophy of Interpretability
tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.
Detecting Strategic Deception Using Linear Probes — LessWrong
AI Nerds Are People Who Like Everything - by Alberto Romero
[2510.15511] Language Models are Injective and Hence Invertible
Wispr Flow | Effortless Voice Dictation
TagTime: Stochastic Time Tracking for Space Cadets | Messy Matters
Kenning - Wikipedia
PrototypeSF - Welcome
Index of /
Outside Five Sigma - Outside Five Sigma
My biotech journey: pt I – wet lab & genetic engineering - Accelerating Utopia
Future.Forum - The Symbiont Alignment Thesis
Rhizome (philosophy) - Wikipedia
Publications
41593_2025_2091_MOESM1_ESM.pdf
Bifurcation theory - Wikipedia
Hyperbolic equilibrium point - Wikipedia
Dynamical system - Wikipedia
Falling asleep follows a predictable bifurcation dynamic | Nature Neuroscience
Breakthrough from REMspace: First Ever Communication Between People in Dreams
Lucid dreaming & Out-of-Body Experience
An instantaneous voice-synthesis neuroprosthesis | Nature
Bayesian neural networks without Bayes' rule - Gerardo Duran-Martin
Essays · Gwern.net
[2306.03341] Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
[2507.08218] Simple Mechanistic Explanations for Out-Of-Context Reasoning
Brain Simulation
Frontiers | Simulation of a Human-Scale Cerebellar Network Model on the K Computer
Causal AI Scientist: Facilitating Causal Data Science with Large Language Models | OpenReview
[2306.13649] On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
compression.kdd06.pdf
2303.10728
[2510.24327] Mind, Matter, and Freedom in Quantum Mechanics and the de Broglie-Bohm Theory
Eric Hartford on X: "Hell yeah! Open source deep research! Go!" / X
Neuromorphic computer prototype learns patterns with fewer computations than traditional AI
Brumby-14B-Base: The Strongest Attention-Free Base Model – Manifest AI
psychotechnology | The irrationalist | Substack
Implications of ECL - Lukas Finnveden
Tülu 3: The next era in open post-training | Ai2
Fine-tuning (deep learning) - Wikipedia
[2404.03592] ReFT: Representation Finetuning for Language Models