https://github.com/ScienceArtMagic
https://hf.co/ScienceArtMagic
https://www.youtube.com/@ScienceArtMagic
sports.yahoo.com/article/john...
#NBAsky
sports.yahoo.com/article/john...
#NBAsky
Power Walk The Jewels
8.5 inch nails
An Approximate Circle
Power Walk The Jewels
Humans when queried by anyone who might help promote their paper or fund their product/connect them to funding:
"That's a great question..."
"AI slop."
Humans any time ML academia, investors, or just some random techbro asks something:
"That's a great question..."
Humans when queried by anyone who might help promote their paper or fund their product/connect them to funding:
"That's a great question..."
"AI slop."
Humans any time ML academia, investors, or just some random techbro asks something:
"That's a great question..."
"AI slop."
Humans any time ML academia, investors, or just some random techbro asks something:
"That's a great question..."
CoRT: Code-integrated Reasoning within Thinking
https://arxiv.org/abs/2506.09820
CoRT: Code-integrated Reasoning within Thinking
https://arxiv.org/abs/2506.09820
Reveals that traditional sorting algorithm efficiency rankings break down in LLM contexts.
📝 arxiv.org/abs/2505.24643
Reveals that traditional sorting algorithm efficiency rankings break down in LLM contexts.
📝 arxiv.org/abs/2505.24643
Huawei introduces an RL framework that enables LLMs to dynamically scale search frequency and depth based on information demands in real-world web environments.
📝 arxiv.org/abs/2505.24332
Huawei introduces an RL framework that enables LLMs to dynamically scale search frequency and depth based on information demands in real-world web environments.
📝 arxiv.org/abs/2505.24332
“Nonlinear Meta-learning Can Guarantee Faster Rates”
arxiv.org/abs/2307.10870
When does meta learning work? Spoiler: generalise to new tasks by overfitting on your training tasks!
Here is why:
🧵👇
“Nonlinear Meta-learning Can Guarantee Faster Rates”
arxiv.org/abs/2307.10870
When does meta learning work? Spoiler: generalise to new tasks by overfitting on your training tasks!
Here is why:
🧵👇
www.engadget.com/audio/fender...
www.engadget.com/audio/fender...
R3: Robust Rubric-Agnostic Reward Models
https://arxiv.org/abs/2505.13388
R3: Robust Rubric-Agnostic Reward Models
https://arxiv.org/abs/2505.13388
MR. Judge: Multimodal Reasoner as a Judge
https://arxiv.org/abs/2505.13403
MR. Judge: Multimodal Reasoner as a Judge
https://arxiv.org/abs/2505.13403
Granary: Speech Recognition and Translation Dataset in 25 European Languages
https://arxiv.org/abs/2505.13404
Granary: Speech Recognition and Translation Dataset in 25 European Languages
https://arxiv.org/abs/2505.13404
We need to eradicate cephalopods. 86 8 before it's too late!
youtu.be/3cYlBarkmDY
We need to eradicate cephalopods. 86 8 before it's too late!
youtu.be/3cYlBarkmDY
www.cnn.com/2025/04/26/p...
www.cnn.com/2025/04/26/p...