3:31:24Search results
- Category: AI, Machine Learning & Data
Results for “ost”
50 videos
3:31:24
12:22
19:10global development statisticsTalk
How not to be ignorant about the world | Hans and Ola Rosling
TED
5 HN recommenders
10:36ai safety instrumental convergenceExplainer
Why Would AI Want to do Bad Things? Instrumental Convergence
Robert Miles AI Safety
6 HN recommenders
1:21:28
54:54postgres analytics architectureTalk
Breakout Session Presented by Dan Robinson of Heap at PGConf Silicon Valley 2015
Citus Data
4 HN recommenders
18:40drone deliveryExplainer
Drone Delivery Was Supposed to be the Future. What Went Wrong?
Wendover Productions
4 HN recommenders
20:33gradient descentExplainer
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
4 HN recommenders
3:29
1:02:13
19:20
18:31
7:53postal mail handwriting recognitionDocumentary
How the US Postal Service reads terrible handwriting
Tom Scott
4 HN recommenders
26:28llm vulnerability researchTalk
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
unprompted
9 HN recommenders
4:33prosthetic limbsNews
Amputee Makes History with APL’s Modular Prosthetic Limb
Johns Hopkins Applied Physics Laboratory
2 HN recommenders
24:52protein folding with AIExplainer
AlphaFold - The Most Useful Thing AI Has Ever Done
Veritasium
2 HN recommenders
1:06
1:09
7:21voice cloning and editingDemo
#VoCo. Adobe Audio Manipulator Sneak Peak with Jordan Peele | Adobe Creative Cloud
Adobe Creative Cloud
2 HN recommenders
8:33rent vs buyExplainer
Drawing Conclusions: Is renting really a waste of money?
The Globe and Mail
2 HN recommenders
25:42stability ai and open generative modelsInterview
The Man behind Stable Diffusion
Yannic Kilcher
3 HN recommenders
3:33:35existential riskPodcast
Daniel Schmachtenberger on The Portal (with host Eric Weinstein), Ep. #027 - On Avoiding Apocalypses
Eric Weinstein
2 HN recommenders
1:10:38philosophy of mindTalk
Consciousness in Artificial Intelligence | John Searle | Talks at Google
Talks at Google
2 HN recommenders
25:04humane ai pin reviewCommentary
The Worst Product I've Ever Reviewed... For Now
Marques Brownlee
1 HN recommender
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