logo
Model quantisation leads to decoherence - Federico Barbero
Machine Learning Street Talk

5,891 views

226 likes

The Elegant Math Behind Machine Learning
Machine Learning Street Talk
Large Language Models explained briefly
3Blue1Brown
This 200-Year-Old Lighter Ignites Without a Spark
Steve Mould
"We need AIs with PHYSICAL experience" (Jeff Beck)
Machine Learning Street Talk
Veritasium: What Everyone Gets Wrong About AI and Learning –
Perimeter Institute for Theoretical Physics
New maths discoveries! All announced at once!
Stand-up Maths
What Bothers Physicists About Black Holes (Interview with Br
Cleo Abram
The $16 TRILLION Race to Mine the Ocean
Johnny Harris
Treadmill vs. Real Hill: Which is harder to run
Steve Mould
THIS is why large language models can understand the world
Algorithmic Simplicity
The Most Useful Thing AI Has Ever Done
Veritasium
What China Found on The Moon
The Space Race
How Stanford Teaches AI-Powered Creativity in Just 13 Minute
EO
GPT 5 — The New AI Era is Here! Features EXPLAINED
AI Master
AI Has a Fatal Flaw—And Nobody Can Fix It
Slidebean
I never understood Tensors intuitively...until now
FloatHeadPhysics
Windows is going to have a VERY BIG problem in less than 6 m
Léo - TechMaker
Tracing the thoughts of a large language model
Anthropic
Wild breakthrough on Math after 56 years... [Exclusive]
Machine Learning Street Talk
Which Quantization Method is Right for You? (GPTQ vs. GGUF v
Maarten Grootendorst