USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
USENIX
Recommended by 13 •
Classic
Play allAI safety and impact
76 videos • 54 hr 14 min
Part of AI and machine learning. Ordered by how many people recommended each video and for how long; 14 are classics.
1 2 3 4 5 6 7 Why Would AI Want to do Bad Things? Instrumental Convergence
Robert Miles AI Safety
Recommended by 6 •
Classic8 Veritasium: What Everyone Gets Wrong About AI and Learning – Derek Muller Explains
Perimeter Institute for Theoretical Physics
Recommended by 6 •
Recent pick9 10 We're building a dystopia just to make people click on ads | Zeynep Tufekci
TED
Recommended by 6 •
Classic11 12 13 14 15 16 17 18 Training AI Without Writing A Reward Function, with Reward Modelling
Robert Miles AI Safety
Recommended by 3 •
Classic19 Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
ObservantVids
Recommended by 3 •
Classic20 21 Consciousness in Artificial Intelligence | John Searle | Talks at Google
Talks at Google
Recommended by 3 •
22 23 Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton
The Royal Institution
Recommended by 3 •
24 25 26 27 28 29 30 Full interview: "Godfather of artificial intelligence" talks impact and potential of AI
CBS Mornings
Recommended by 3 •
31 OpenAI's GPT-4 Discussion with Red Teamer Nathan Labenz and Erik Torenberg
Cognitive Revolution "How AI Changes Everything"
Recommended by 3 •
32 33 Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371
Lex Fridman
Recommended by 2 •
34 Avoiding Negative Side Effects: Concrete Problems in AI Safety part 1
Robert Miles AI Safety
Recommended by 2 •
Classic35 Intelligence is not Enough | Bryan Cantrill | Monktoberfest 2023
RedMonk Tech Events
Recommended by 2 •
36 37 38 39 40 41 Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development
Arts & Science - University of Toronto
Recommended by 2 •
42 Jaron Lanier – Who is Civilization for? (+ Q&A with Ulrich Kelber) Willy Brandt Lecture 2018
Bundeskanzler-Willy-Brandt-Stiftung
Recommended by 2 •
43 Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun
Policy-Relevant Science & Technology
Recommended by 2 •
44 45 AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018
CraftHub Events
Recommended by 2 •
Hidden gem46 "How to Think About AI": Cory Doctorow on Big Tech, Understanding AI, Labor Automation & More
Democracy Now!
Recommended by 1 •
Recent pick47 48 49 50 51 Watermarking of Large Language Models
Simons Institute for the Theory of Computing
Recommended by 1 •
Recent pick52 53 54 55 Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI | Lex Fridman Podcast #416
Lex Fridman
Recommended by 1 •
56 57 Human AI is Decades Away, But We Need to Start the Debate Now | Demis Hassabis | Google Zeitgeist
Google Zeitgeist
Recommended by 1 •
58 59 60 61 Black Hat USA 2026 | The 'Breaking' News: The OpenAI–Hugging Face Incident
Black Hat
Recommended by 1 •
Recent pick62 Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
NDC Conferences
Top upload •
63 64 MRMCD2026 - Palantir Überwachungstechnologie und tödliche Kriegswaffen mit KI im CyberWarfare
media.ccc.de
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65 Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024
GOTO Conferences
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66 67 68 69 70 71 Superintelligent Agents Pose Catastrophic Risks — ... | Richard M. Karp Distinguished Lecture
Simons Institute for the Theory of Computing
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72 AI’s Models of the World, and Ours | Theoretically Speaking
Simons Institute for the Theory of Computing
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73 Grounding Diffusion Models: The Path to Reliable Synthesis Without Hallucination
Simons Institute for the Theory of Computing
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74 The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence, Task Complexity, and...
Simons Institute for the Theory of Computing
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75 When Can We Trust What a Model Has Learned? Identifiability, Causality, and Reliable AI
Simons Institute for the Theory of Computing
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