42:15AI, Machine Learning & Data
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Videos
576 videos42:15
3:33:35existential riskPodcast
Daniel Schmachtenberger on The Portal (with host Eric Weinstein), Ep. #027 - On Avoiding Apocalypses
Eric Weinstein
2 HN recommenders
18:16election fraud statisticsExplainer
Do these scatter plots reveal fraudulent vote-switching in Michigan?
Stand-up Maths
4 HN recommenders
3:11deepfakesComedy
Bill Hader impersonates Arnold Schwarzenegger [DeepFake]
Ctrl Shift Face
2 HN recommenders
17:07human computationTalk
Duolingo -- the next chapter in human computation | Luis von Ahn | TEDxCMU 2011
TEDx Talks
2 HN recommenders
39:46robotics in juliaTalk
JuliaRobotics: Making robots walk with Julia | Robin Deits
The Julia Programming Language
1 HN recommender
17:46
23:43
52:59numerical computing in elixirTalk
Introducing Nx - José Valim | Lambda Days 2021
Code Sync
2 HN recommenders
54:13:03
15:37ai tutoring in educationTalk
How AI Could Save (Not Destroy) Education | Sal Khan | TED
TED
2 HN recommenders
8:36ai video restorationDemo
[4k, 60 fps] A Trip Through New York City in 1911
Denis Shiryaev
2 HN recommenders
1:03:32rlhf for language modelsTalk
John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges
UC Berkeley EECS
2 HN recommenders
1:10:58deep learning hardwareLecture
Trends in Deep Learning Hardware: Bill Dally (NVIDIA)
Paul G. Allen School
3 HN recommenders
33:49alphastar starcraft matchCommentary
Google's DeepMind AI vs StarCraft 2 World Champion - Game 1
ArtosisTV
2 HN recommenders
2:29:05ai-assisted programmingPodcast
Cursor Team: Future of Programming with AI | Lex Fridman Podcast #447
Lex Fridman
2 HN recommenders
1:22:58gpt-4 red teamingInterview
OpenAI's GPT-4 Discussion with Red Teamer Nathan Labenz and Erik Torenberg
Cognitive Revolution "How AI Changes Everything"
3 HN recommenders
12:32differential privacyExplainer
Protecting Privacy with MATH (Collab with the Census)
minutephysics
2 HN recommenders
42:30ai risk and understandingInterview
Full interview: "Godfather of artificial intelligence" talks impact and potential of AI
CBS Mornings
3 HN recommenders
59:23limits of llmsPodcast
Why Can't AI Make Its Own Discoveries? — With Yann LeCun
Alex Kantrowitz
2 HN recommenders
1:10:38philosophy of mindTalk
Consciousness in Artificial Intelligence | John Searle | Talks at Google
Talks at Google
2 HN recommenders
1:11:36capsule networksLecture
Geoffrey Hinton talk "What is wrong with convolutional neural nets ?"
trwappers
2 HN recommenders
1:03:07spurious patterns in random dataLecture
Clutching at Random Straws, Matt Parker | LMS Popular Lectures 2010
London Mathematical Society
2 HN recommenders
5:08warehouse automationExplainer
How many robots does it take to run a grocery store?
Tom Scott
2 HN recommenders
Sources and selection
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes