48:39binary visualizationTalk
4 2 1 Christopher Domas The future of RE Dynamic Binary Visualization
Adrian Crenshaw
7 HN recommenders
48:39binary visualizationTalk
Adrian Crenshaw
7 HN recommenders
21:42analog computingExplainer
Veritasium
7 HN recommenders
18:40drone deliveryExplainer
Wendover Productions
4 HN recommenders
57:58corporations as artificial intelligenceTalk
media.ccc.de
4 HN recommenders
1:03:22binary visualization for reverse engineeringTalk
Sébastien Duquette
3 HN recommenders
2:39:15computer architectureInterview
Lex Fridman
3 HN recommenders
3:34:04programming languages and aiPodcast
Lex Fridman
4 HN recommenders
31:09unix philosophy for big dataTalk
New Relic
2 HN recommenders
1:27:44ai and industryTalk
Stanford Graduate School of Business
2 HN recommenders
7:48
2:29:05ai-assisted programmingPodcast
Lex Fridman
2 HN recommenders
42:30ai risk and understandingInterview
CBS Mornings
3 HN recommenders
2:48:13ai safety and pausing aiPodcast
Lex Fridman
2 HN recommenders
6:16ai copyright enforcementExplainer
Tom Scott
1 HN recommender
2:47:17limits of LLMsPodcast
Lex Fridman
1 HN recommender
12:31longtermismExplainer
Kurzgesagt – In a Nutshell
1 HN recommender
14:55AI hype satireComedy
The Daily Show
Discussed on HN
3:56autonomous intersection managementDemo
csatc2002
Discussed on HN
31:34vibe codingCommentary
Y Combinator
Discussed on HN · Indie Picks · metadata indexed
2:23:57openai and gpt-4Interview
Lex Fridman
Discussed on HN
47:54technology futuresInterview
Vanity Fair
Discussed on HN
26:16ai game npcsDemo
Bloc
Discussed on HN
38:59openai and ai policyInterview
Connie Loizos
Discussed on HN
1:00:15AGI safetyTalk
Future of Life Institute
Discussed on HN
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