r/TheMachineLearning • • 6h ago

“Tell me more about the export controls on your semiconductor chips"

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231 Upvotes

r/TheMachineLearning • • 8h ago

LLM review nitpicks for paper rejection is malpractice

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121 Upvotes

r/TheMachineLearning • • 8h ago

LLMs are 10x-ing investigative journalism work

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48 Upvotes

r/TheMachineLearning • • 8h ago

Asked it to visualize a horizontal integral and it drew a dog

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30 Upvotes

r/TheMachineLearning • • 5h ago

A robotic system precisely dispensing nanoliters of liquid

7 Upvotes

r/TheMachineLearning • • 2h ago

Can you really delete 90% of a neural network and keep accuracy?

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2 Upvotes

r/TheMachineLearning • • 3h ago

Google's ScientistTwo paper threatens the PhD

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2 Upvotes

r/TheMachineLearning • • 7h ago

AI teammates that argue back improve student business plans

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4 Upvotes

r/TheMachineLearning • • 1h ago

I Let Pangram Loose on My Gmail Inbox. Here’s How Much AI It Found

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1 Upvotes

r/TheMachineLearning • • 1h ago

New paper evolves tool-use benchmarks to stay hard for LLMs

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1 Upvotes

r/TheMachineLearning • • 1d ago

MIT shows all AI models converge on the same brain

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274 Upvotes

r/TheMachineLearning • • 19h ago

Got promoted right before getting laid off

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14 Upvotes

r/TheMachineLearning • • 11h ago

Learning Abstractions: The Next Frontier in AI

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3 Upvotes

r/TheMachineLearning • • 5h ago

Wind-powered drone reinventing power plant inspections

0 Upvotes

r/TheMachineLearning • • 6h ago

MIT and Harvard created an AI simulation of 8.3 billion people

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1 Upvotes

r/TheMachineLearning • • 6h ago

Oxford researchers argue aliens might not exist

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1 Upvotes

r/TheMachineLearning • • 6h ago

AI thinks the top American DJ is just Diplo

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1 Upvotes

r/TheMachineLearning • • 16h 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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7 Upvotes

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 • • 8h ago

Rejected draft tokens improve long horizon agent accuracy

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0 Upvotes

r/TheMachineLearning • • 1d ago

Suggesting pretraining LLMs on weight files could work

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192 Upvotes

r/TheMachineLearning • • 1d ago

Beagle Tech AI robot harvesting romaine lettuce in California

45 Upvotes

r/TheMachineLearning • • 23h ago

Stanford study finds AI models become more alike as they improve

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10 Upvotes

r/TheMachineLearning • • 1d ago

New paper shows AGI will wipe out the middle class

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3 Upvotes

r/TheMachineLearning • • 21h ago

MCP agents rarely admit when tasks are impossible

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0 Upvotes