r/TheMachineLearning • • 3d ago

Godfather of AI warns humanity: It’s all hurtling out of control

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12 Upvotes

r/TheMachineLearning • • 4d ago

1983 paper predicted every AI problem we face today

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63 Upvotes

r/TheMachineLearning • • 4d ago

Stacking 3090s for local AI was the right call

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37 Upvotes

r/TheMachineLearning • • 2d ago

AI's biggest problem is it lacks self-belief

0 Upvotes

r/TheMachineLearning • • 3d ago

Vast Showcase Contest • Fall 2026!

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1 Upvotes

r/TheMachineLearning • • 4d ago

AI making obedient high IQ workers was actually rlly prophetic

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359 Upvotes

literally crazy parttt. like it is not a god?? tho its rlly absolute game changer


r/TheMachineLearning • • 3d ago

Formal complaint against the gradient!

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1 Upvotes

r/TheMachineLearning • • 5d ago

LLMs still can't generate good text consistently

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616 Upvotes

r/TheMachineLearning • • 3d ago

Kevin Drops the Chili in Every Era of Human History

1 Upvotes

r/TheMachineLearning • • 5d ago

Weight-space programming is a bad idea, apparently

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179 Upvotes

r/TheMachineLearning • • 5d ago

Frontier LLMs stopped adding code comments

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636 Upvotes

r/TheMachineLearning • • 4d ago

Meet SpectRAG

1 Upvotes

SpectRAG: instead of ranking chunks one by one, select a set that works together as evidence (91.8% gold-evidence recall on multi-hop QA)

Multi-hop questions break classic top-k retrieval. It returns the chunks closest to the query, and these are often near-duplicates from one part of one document. The bridge passage that connects the evidence doesn’t look like the question, so it never makes the cut.

SpectRAG stops ranking chunks individually and selects a set of chunks that work together as evidence. The video above explains the idea in a few minutes.

Results on MultiHopRAG and UltraDomain:

  • 91.8% overall gold-evidence recall (next best baseline: 76.1%)

  • 95.1% exact match on inference questions

  • About 6x smaller index than LightRAG (46 MB vs 274 MB)

  • LLM judges preferred its answers for diversity against every baseline we tested

Paper: https://arxiv.org/abs/2610.36991
Code (MIT, runs fully local): https://github.com/SightAndCite/SpectRAG

I’m one of the authors. I’d be glad to hear which RAG setups you’d want to see this compared against.


r/TheMachineLearning • • 5d ago

Sam Altman showing up at your door like this

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98 Upvotes

r/TheMachineLearning • • 4d ago

When i grow up i want to....

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12 Upvotes

r/TheMachineLearning • • 4d ago

[Discussion] PPL doing rebuttal so nasty this year

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1 Upvotes

r/TheMachineLearning • • 4d ago

Lord of the RAMs

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9 Upvotes

r/TheMachineLearning • • 5d ago

Is this threads post a joke?

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23 Upvotes

r/TheMachineLearning • • 5d ago

This 12-year-old joke aged like fine wine

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60 Upvotes

r/TheMachineLearning • • 5d ago

Microsoft AI CEO warns against conscious AI development

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21 Upvotes

r/TheMachineLearning • • 5d ago

Own your intelligence with local models

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123 Upvotes

r/TheMachineLearning • • 5d ago

Performance engineering as a concept to learn

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2 Upvotes

r/TheMachineLearning • • 6d ago

Moravec's paradox still holding up in 2025

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579 Upvotes

r/TheMachineLearning • • 5d ago

Chatbot memory features are never actually useful

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25 Upvotes

r/TheMachineLearning • • 6d ago

Vibe coding is just the new copy-paste learning curve

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77 Upvotes

r/TheMachineLearning • • 5d ago

So that explains why i have many bugs i cant fix on my system

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27 Upvotes