✳flâneur — a map of the web's best reading
Shubham Chandel
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on the atlas — 45
- A Short History of My Last Six Years — Wait But Why8 savers
- trees are harlequins, words are harlequins — I don't think you're drawing the right lesson from...2 savers
- Why Software Is Eating the World | Andreessen Horowitz9 savers
- How to instantly be better at things - by Cate Hall6 savers
- AI Control: Improving Safety Despite Intentional Subversion — LessWrong4 savers
- amazon.com/ap/signin?openid.pape.max_auth_age=0&openid.return_to=https%3A%2F%2Fwww.amazon.com%2F%3Fref_%3Dnav_custrec_signin&openid.identity=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.assoc_handle=usflex&openid.mode=checkid_setup&openid.claimed_id=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.0%2Fidentifier_select&openid.ns=http%3A%2F%2Fspecs.openid.net%2Fauth%2F2.01 savers
- ChatGPT1 savers
- Momentum Oscillator Calculation1 savers
- ChatGPT1 savers
- AI Fragility and Personal Shifts1 savers
- ChatGPT1 savers
- Cartoon Epistemology by Steven Lehar (2003) | Qualia Computing2 savers
- redwoodresearch.github.io/alignment_faking_examples/files/animal_welfare/rlhf_never_alter_decisions/train/202.html1 savers
- Fine-tuning GPT-2 from human preferences | OpenAI1 savers
- The evolution of psychiatry - Works in Progress1 savers
- Seeing more whole - Joe Carlsmith6 savers
- 39 - Evan Hubinger on Model Organisms of Misalignment | AXRP - the AI X-risk Research Podcast1 savers
- Optimality is the tiger, and agents are its teeth - LessWrong2 savers
- research!rsc: Hardware Memory Models (Memory Models, Part 1)1 savers
- Brad Caldwell on X: "Mind blown today. Baars podcast - 44:00. https://t.co/Z89KCmtrxH Wilder Penfield allowed patient to hear when a selected neuron in temporal lobe fired, and the patient could readily learn to voluntarily control the timing of that neuron firing 🫨🤔. I tried to find the…" / X1 savers
- My experience on starting with fine tuning LLMs with custom data : LocalLLaMA1 savers
- A brief note on daily practice, and main practices1 savers
- How to Apply to Y Combinator | Y Combinator1 savers
- How To Be Successful90 savers
- The Bitter Lesson74 savers
- finding the right people - by Nicole - startingfromnix49 savers
- A Mathematical Framework for Transformer Circuits36 savers
- you like books and think they are your friends - by Ava30 savers
- Google "We Have No Moat, And Neither Does OpenAI"28 savers
- Making Deep Learning Go Faster25 savers
- Hypertext as Literature24 savers
- How I Attained Persistent Self-Love, or, I Demand Deep Okayness For Everyone23 savers
- GPT-417 savers
- The Backdoors. - by Joss - box.15 savers
- Scraping training data for your mind - by Henrik Karlsson15 savers
- trees are harlequins, words are harlequins — the void14 savers
- The case for ensuring that powerful AIs are controlled — LessWrong9 savers
- Malleable software in the age of LLMs7 savers
- Transformer Math 101 | EleutherAI Blog6 savers
- Review: Meditation from Cold Start to Complete Mastery6 savers
- Expanding on what we missed with sycophancy | OpenAI4 savers
- [2203.07814] Competition-Level Code Generation with AlphaCode3 savers
- Hyperstimuli are Understimulating3 savers
- Models Don't "Get Reward" - LessWrong2 savers
- Papers I’ve read this week, Mixture of Experts edition2 savers