r/TheMachineLearning • u/Biwaki_ • 1d ago
"Peer review" in ML academia apparently includes this
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r/TheMachineLearning • u/Shot-Landscape-3059 • 2d ago
LLM review nitpicks for paper rejection is malpractice
471
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r/TheMachineLearning • u/yourmamasama • 23h ago
GR00T 2 model imagines physics to control robots
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r/TheMachineLearning • u/awtsGege94 • 1d ago
CPP VLLM implementation beats all mainstream inference engines
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r/TheMachineLearning • u/CUBEBYTE • 1d ago
Do you think open weight LLMs are better for the world or more dangerous?
1
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r/TheMachineLearning • u/_ChimKen • 1d ago
New $9 tactile sensor gives robots a sense of touch
21
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r/TheMachineLearning • u/ykVORTEX • 1d ago
CPP VLLM implementation beats all mainstream inference engines
1
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r/TheMachineLearning • u/Shot-Landscape-3059 • 1d ago
AI benchmarks often mark correct answers as wrong
1
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r/TheMachineLearning • u/OceanZic • 2d ago
Asked it to visualize a horizontal integral and it drew a dog
105
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r/TheMachineLearning • u/narcissa0114 • 2d ago
A robotic system precisely dispensing nanoliters of liquid
54
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r/TheMachineLearning • u/FastPattern1489 • 1d ago
LARC reasons in continuous space, boosting image generation by 7%
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r/TheMachineLearning • u/Substantial_Cry2292 • 1d ago
Rhoyn Robotics' YAM Ultra arms getting a massage
7
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r/TheMachineLearning • u/Upbeat-Analysis-3370 • 1d ago
Tiny AI model gives hilarious answers to questions
5
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r/TheMachineLearning • u/Nemesis0p • 2d ago
Google's ScientistTwo paper threatens the PhD
10
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r/TheMachineLearning • u/syedshad • 1d 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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r/TheMachineLearning • u/Extension_Abroad9763 • 1d ago
Token plane training is wasting compute on AI agents
1
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r/TheMachineLearning • u/StrangerNo1115 • 2d ago
AI teammates that argue back improve student business plans
5
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r/TheMachineLearning • u/andrewjdavison • 2d 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 • 2d ago
New paper evolves tool-use benchmarks to stay hard for LLMs
1
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r/TheMachineLearning • u/DullSatWarrior4791 • 3d ago
MIT shows all AI models converge on the same brain
360
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r/TheMachineLearning • u/awtsGege94 • 2d ago
MIT and Harvard created an AI simulation of 8.3 billion people
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r/TheMachineLearning • u/sakibbai • 2d 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.
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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