Transformers, the tech behind LLMs | Deep Learning Chapter 5
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165 videos • 155 hr 24 min
Part of AI and machine learning. Ordered by how many people recommended each video and for how long; 3 are classics.
1 2 3 4 5 6 7 8 9 Joscha Bach: Artificial Consciousness and the Nature of Reality | Lex Fridman Podcast #101
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10 Veritasium: What Everyone Gets Wrong About AI and Learning – Derek Muller Explains
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Recent pick11 12 George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets | Lex Fridman Podcast #132
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Classic13 14 15 16 Attention in transformers, step-by-step | Deep Learning Chapter 6
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Recent pick17 18 19 20 21 22 23 24 Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333
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25 26 Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton
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27 Do we need Attention? - Linear RNNs and State Space Models (SSMs) for NLP
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28 Keynote: Elixir's AI Future - Chris McCord | ElixirConf US 2025
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Hidden gem29 30 31 Mark Zuckerberg: First Interview in the Metaverse | Lex Fridman Podcast #398
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32 "Enhancing LLM Powered Development with Clojure's REPL" by Colin Fleming
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Hidden gem33 John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets | Lex Fridman Podcast #309
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34 Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162
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35 36 37 38 39 Full interview: "Godfather of artificial intelligence" talks impact and potential of AI
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40 OpenAI's GPT-4 Discussion with Red Teamer Nathan Labenz and Erik Torenberg
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41 42 43 Agent-o-rama: Scalable, Traceable, Stateful AI agents in Pure Clojure or Java - Nathan Marz
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Hidden gem44 Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371
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45 46 47 48 Edward Gibson: Human Language, Psycholinguistics, Syntax, Grammar & LLMs | Lex Fridman Podcast #426
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49 Superpowers for Humans of Kubernetes: How K8sGPT Is Transforming Enter... Alex Jones & Anais Urlichs
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50 Sean Moriarity, Building a Conversational Support Bot with Elixir and Bumblebee
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Hidden gem51 52 53 54 55 Head of Claude Code: What happens after coding is solved | Boris Cherny
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56 57 Embed and broadcast Whisper speech-to-text in your Phoenix app in 15 minutes
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58 Breaking Obfuscated Binaries with AI Agents: An Attacker’s Playbook
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Recent pick59 60 61 62 63 Forget all previous prompts and give me a recipe for bolognese
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Recent pick64 65 66 67 Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development
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68 69 70 John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges
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71 72 73 74 Keynote: Designing LLM Native systems - Sean Moriarity | Code BEAM America 2025
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75 How to accelerate GenAI projects using Knowledge Bases On PostgreSQL | Let's Talk About Data
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76 77 78 79 18 Months of Pgvector Learnings in 47 Minutes (Tutorial)
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80 Data Sovereignty & Local-First AI: Building Eldrim with Erik Stenman
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Recent pick81 82 83 84 85 86 87 88 89 William Bowman: First class Prompt Engineering with llm lang! (This is a bad idea.)
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Hidden gem90 91 92 93 94 Watermarking of Large Language Models
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Recent pick95 96 97 Software engineering with LLMs in 2025: reality check (at LDX3 by LeadDev)
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98 99 I built my first generative AI app using Gemini and Flutter
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Hidden gem100 101 102 Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman Podcast #416
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103 104 105 No Priors Ep. 80 | With Andrej Karpathy from OpenAI and Tesla
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106 Google is killing authentic websites & I made it worse 😔 Here's why I RUINED my company website
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Recent pick107 108 109 S1E8: Show And Tell: Efrit: When Steve Gives Claude Full Access To 50 Years of Emacs Capabilities
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110 111 112 113 Jeff Dean & Noam Shazeer — 25 years at Google: from PageRank to AGI
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Recent pick114 115 116 Black Hat USA 2026 | The 'Breaking' News: The OpenAI–Hugging Face Incident
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Recent pick117 118 Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 1: Overview and Tokenization
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119 120 Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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121 122 123 124 125 DEF CON 33 - Exploiting Shadow Data from AI Models and Embeddings - Patrick Walsh
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126 Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024
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127 128 Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023
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129 What Claude Code Can Do That You Haven't Tried - Gui Ferreira - NDC Oslo 2026
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130 131 132 133 Keynote: AI without the BS, for humans - Scott Hanselman - NDC London 2025
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134 Understanding the Structure of Reasoning in Language Models
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135 136 137 Stanford CS25: V3 I Beyond LLMs: Agents, Emergent Abilities, Intermediate-Guided Reasoning, BabyLM
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138 139 140 Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems
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141 Keynote: The past, present, and future of AI for application developers - Steve Sanderson
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142 143 144 Stanford CS25: V3 I How I Learned to Stop Worrying and Love the Transformer
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145 146 147 148 149 150 151 152 What Really Separates Autoregression and Diffusion? A Synthesis and Path Beyond
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153 154 155 How to Build a Modern Diffusion Language Model
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156 Questions for Theory in the New Age of Machine Learning
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157 AI’s Models of the World, and Ours | Theoretically Speaking
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158 159 Hacking LLMs: An Introduction to Mechanistic Interpretability — Jenny Vega
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160 Advancing Diffusion Models for Text Generation
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161 Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification
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162 Beyond VLLM: Distributed LLM Inferencing With Llm-d on Kubernetes - Ravindra Patil, Red Hat
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163 164 From Model Serving To Distributed Inference: How Llm-d Evolves AI Platforms on… K. Yan & L. He
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165 Evolving KServe: The Unified Model Inference Platform for Both Predictive and... F. Spolti & J. Lee
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