18:16election fraud statisticsExplainer
Do these scatter plots reveal fraudulent vote-switching in Michigan?
Stand-up Maths
4 HN recommenders
18:16election fraud statisticsExplainer
Stand-up Maths
4 HN recommenders
17:46
54:13:03
1:03:32rlhf for language modelsTalk
UC Berkeley EECS
2 HN recommenders
1:22:58gpt-4 red teamingInterview
Cognitive Revolution "How AI Changes Everything"
3 HN recommenders
42:30ai risk and understandingInterview
CBS Mornings
3 HN recommenders
1:10:38philosophy of mindTalk
Talks at Google
2 HN recommenders
1:03:07spurious patterns in random dataLecture
London Mathematical Society
2 HN recommenders
5:08warehouse automationExplainer
Tom Scott
2 HN recommenders
48:59
25:04humane ai pin reviewCommentary
Marques Brownlee
1 HN recommender
3:33warehouse automationDemo
KivaDirector
1 HN recommender
47:34drone countermeasuresTalk
DEFCONConference
1 HN recommender
33:48alphazero vs stockfish chessCommentary
GothamChess
1 HN recommender
12:09fpv racing dronesDemo
Red Bull
1 HN recommender
1:04
55:02floating point nonlinearityExplainer
suckerpinch
1 HN recommender
24:15google search ranking and ai contentCommentary
Louis Rossmann
1 HN recommender
1:27autonomous quadrotor controlDemo
TheDmel
1 HN recommender
9:05speech translationDemo
Microsoft Research
1 HN recommender
19:42ai-generated music detectionExplainer
Benn Jordan
1 HN recommender
7:48autonomous weapons
CS Consulting
1 HN recommender
2:54
9:01management systemsDemo
The Deming Institute
1 HN recommender
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.
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