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Machine Learning Street Talk @UCMLtBahI5DMrt0NPvDSoIRQ@youtube.com

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02:07:08
Three Red Lines We're About to Cross Toward AGI
01:30:13
Why Physical AI Needs Bodies, Not Bigger Models
01:08:29
Oxford Professor: "AIs are strange new minds"
26:58
We have a problem with ChatBot Arena.
51:00
AI companions which really hook your attention [Sponsored]
01:13:49
Wild breakthrough on Math after 56 years... [Exclusive]
34:31
Build Specialist LLMs Like It’s 2019 (Randall Balestriero)
46:57
"We need AIs with PHYSICAL experience" (Jeff Beck)
01:16:56
Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
01:36:29
"You don't fine-tune your way to AGI" - Here's why.
01:37:11
Manhattan Project for AI Safety
54:16
ARC Prize Version 2 Launch Video!
31:40
Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares
01:03:36
Test-Time Adaptation: the key to reasoning with DL
01:11:24
Moving Beyond Surface Statistics (Apple researcher)
01:23:12
The Gap Between Humans and Machines Is ___
39:30
Panel discussion on ARC Prize 2024 (Zurich)
01:41:19
Tau Language: The Software Synthesis Future [Sponsored]
54:51
GPUs: Optimize or Bust! [Sponsored]
01:00:55
Transformers Need Glasses!
01:37:55
Can AI Improve Itself?
51:27
Can Latent Program Networks Solve Abstract Reasoning?
53:32
ImageNet Moment for Reinforcement Learning?
01:09:05
The ARC Prize 2024 Winning Algorithm
01:07:02
LSTM: The Comeback Story?
01:18:11
Neural Networks Are Elastic Origami!
01:21:16
Language Models are "Modelling The World"
01:32:14
DO REASONING MODELS ACTUALLY SEARCH?
01:18:02
How Do AI Models Actually Think?
01:12:51
SCHMIDHUBER: HOW WE WILL LIVE WITH AIs