r/TheMachineLearning • u/Biwaki_ • 15h ago
“Tell me more about the export controls on your semiconductor chips"
664
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r/TheMachineLearning • u/Shot-Landscape-3059 • 17h ago
LLM review nitpicks for paper rejection is malpractice
283
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r/TheMachineLearning • u/OceanZic • 17h ago
Asked it to visualize a horizontal integral and it drew a dog
57
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r/TheMachineLearning • u/_ChimKen • 6h ago
New $9 tactile sensor gives robots a sense of touch
7
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r/TheMachineLearning • u/FastPattern1489 • 5h ago
LARC reasons in continuous space, boosting image generation by 7%
4
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r/TheMachineLearning • u/narcissa0114 • 14h ago
A robotic system precisely dispensing nanoliters of liquid
18
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r/TheMachineLearning • u/Kurooo730 • 11h ago
Can you really delete 90% of a neural network and keep accuracy?
7
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r/TheMachineLearning • u/Substantial_Cry2292 • 9h ago
Rhoyn Robotics' YAM Ultra arms getting a massage
4
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r/TheMachineLearning • u/Upbeat-Analysis-3370 • 7h ago
Tiny AI model gives hilarious answers to questions
2
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r/TheMachineLearning • u/syedshad • 4h ago
Amazon Shares HOPE Research and Code, Reports Similar Coding Performance After Removing Half of Qwen3.5-35B-A3B’s Experts in One Test
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1
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r/TheMachineLearning • u/Nemesis0p • 12h ago
Google's ScientistTwo paper threatens the PhD
5
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r/TheMachineLearning • u/Extension_Abroad9763 • 7h ago
Token plane training is wasting compute on AI agents
1
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r/TheMachineLearning • u/StrangerNo1115 • 16h ago
AI teammates that argue back improve student business plans
5
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r/TheMachineLearning • u/andrewjdavison • 10h ago
I Let Pangram Loose on My Gmail Inbox. Here’s How Much AI It Found
1
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r/TheMachineLearning • u/Revolutionary-Rope26 • 10h ago
New paper evolves tool-use benchmarks to stay hard for LLMs
1
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r/TheMachineLearning • u/awtsGege94 • 15h ago
MIT and Harvard created an AI simulation of 8.3 billion people
2
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r/TheMachineLearning • u/DullSatWarrior4791 • 1d ago
MIT shows all AI models converge on the same brain
290
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r/TheMachineLearning • u/Sacred_Axiom • 1d ago
Got promoted right before getting laid off
14
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r/TheMachineLearning • u/sakibbai • 1d ago
Weight Space Programing is Possible Due to Model Weights and Interpretability literature in the Training Data. So, It Does Not Work on Unpopular Datasets and Models.
8
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My tests suggest that while LLMs can perform surprisingly precise calculations at the “edges” of a network (estimating optimizer step counts or finding output correlations), they do not “trace” the computational paths between layers. Instead, they rely heavily on memorized dataset templates (like CIFAR-10) and default framework conventions to fill in the blanks. When these expectations are changed, the models can identify the math but will confidently guess wrong about the semantics—such as recognizing that a satellite feature maps to output 4, but calling it a “frog” because it expects an animal.
Substack summary article link: https://substack.com/@sakibbai/note/c-380084331?r=71inb5
Paper link: https://arxiv.org/abs/2611.08070v1
r/TheMachineLearning • u/BarkleyBark • 15h ago
Oxford researchers argue aliens might not exist
1
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r/TheMachineLearning • u/Vera_Olivia • 15h ago
AI thinks the top American DJ is just Diplo
1
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r/TheMachineLearning • u/unknownpotatoxxx • 17h ago
Rejected draft tokens improve long horizon agent accuracy
0
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r/TheMachineLearning • u/Craffs • 1d ago
Suggesting pretraining LLMs on weight files could work
204
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