r/MachineLearning
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r/MachineLearning is a Reddit community for machine learning researchers and enthusiasts. It features discussions on topics like networking at conferences and the long-term value of AI research.
reddit.com![go from zero to claude code pro in one day — hands on bootcamp may 30 [D]](https://preview.redd.it/3cwac3a4ig0h1.png?width=140&height=73&auto=webp&s=926b8295bde8ff17f14d9d7be03e9b9a048a6a12)
go from zero to claude code pro in one day — hands on bootcamp may 30 [D]
25d
![Signals: finding the most informative agent traces without LLM judges [R]](https://preview.redd.it/nauai52sgc0h1.png?width=640&crop=smart&auto=webp&s=b9a1d06b2ba6b8e05d6ef0c125f39510f7e0806b)
Signals: finding the most informative agent traces without LLM judges [R]
25d
![Steam Similarity Recommender Find your next favorite game and learn WHY (student project)[P]](https://preview.redd.it/st5zcvr0lzzg1.png?width=140&height=128&auto=webp&s=2475c53ab4705feda695bc748d39aa668bb81afe)
Steam Similarity Recommender Find your next favorite game and learn WHY (student project)[P]
27d
![Formalizing statistical learning theory in Lean 4 [R]](https://external-preview.redd.it/vcCPMFQJ_Ba1RGnmGbl8xPO9fb1vZ01Ht3Hg4xF7i0Q.png?width=640&crop=smart&auto=webp&s=66c23bc95d8b7a4cf205d906d8b6fed9fda955ab)
Formalizing statistical learning theory in Lean 4 [R]
28d
![What should a PyTorch training end-of-run performance summary show? [D]](https://preview.redd.it/2q71s9ltkvzg1.png?width=140&height=123&auto=webp&s=77945925d0fb80c62d90ad917fad64c3af772f43)
What should a PyTorch training end-of-run performance summary show? [D]
28d
![Steam Similarity Recommender [P]](https://preview.redd.it/njoqyt939uzg1.png?width=140&height=128&auto=webp&s=1511dec07fceeeb727b5c1219bbc1e10017a1918)
Steam Similarity Recommender [P]
28d
![Question about PLS-DA hyperparameter tuning [R]](https://preview.redd.it/701knkltbdzg1.png?width=140&height=86&auto=webp&s=be7986f3d4908ceaf4f9969b26a3eafd1012a3e5)
Question about PLS-DA hyperparameter tuning [R]
30d
![Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]](https://preview.redd.it/evw6ah88kczg1.png?width=140&height=80&auto=webp&s=b00e0ee1e002421a3e4db9a4c43354a9606d4f54)
Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]
31d
![Building a 9-ball AI player: Candidate generation for direct cut shots [P]](https://preview.redd.it/aw3nvcz9b7zg1.png?width=640&crop=smart&auto=webp&s=290f1b7c9c7f46325041938b2b4069997e202143)
Building a 9-ball AI player: Candidate generation for direct cut shots [P]
31d

AI learns to play
32d

T³ transformer dataset beats
32d

Reddit user
32d

New method compresses Python code
33d
![Phosphene local video and audio generation for Apple Silicon open source (LTX 2.3) [P]](https://preview.redd.it/vutakjb0vgyg1.png?width=140&height=59&auto=webp&s=08ecb95fd65ade25c924988f1992e9abe3d79f62)
Phosphene local video and audio generation for Apple Silicon open source (LTX 2.3) [P]
35d
![A 14-day “Growth Forge” sprint: build an AI-powered growth agent on a real stack [N]](https://preview.redd.it/7y6cy9kgjkxg1.png?width=140&height=107&auto=webp&s=be4eac809f68f131df94492502d160e8b50756b3)
A 14-day “Growth Forge” sprint: build an AI-powered growth agent on a real stack [N]
39d
![How Visual-Language-Action (VLA) Models Work [D]](https://external-preview.redd.it/fBpt1C8zS6YDW2Lp0_fnNCU2C0Dw1W3tzt7P4g39SHw.jpeg?width=640&crop=smart&auto=webp&s=d9f046e9b38c478cf671d18df1b23a42fd1613bd)
How Visual-Language-Action (VLA) Models Work [D]
41d
![Training LFM-2.5-350M on Reddit post summarization with GRPO on my 3x Mac Minis — final evals and t-test evals are here [P]](https://preview.redd.it/zynqkm0osaxg1.png?width=140&height=76&auto=webp&s=e827ef782e46b56a11f263b7689811da72904ba9)
Training LFM-2.5-350M on Reddit post summarization with GRPO on my 3x Mac Minis — final evals and t-test evals are here [P]
41d
![Open-source 9-task benchmark for coding-agent retrieval augmentation. Per-task deltas +0.010 to +0.320, all evals reproducible [P]](https://preview.redd.it/ouf5uosmz8xg1.png?width=140&height=71&auto=webp&s=6373119fdf0622e553467d39d25b3308b8bf8f7e)
Open-source 9-task benchmark for coding-agent retrieval augmentation. Per-task deltas +0.010 to +0.320, all evals reproducible [P]
41d

Reducing LLM Hallucinations with Selective Contrastive Training: Achieving Factuality with 10% Less Data
42d
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Gemma 4 31B landing pages: Scaffolding beats design rules
45d
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AI databases in 2026: four distinct approaches
45d
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Cloud learning bottleneck: ML practitioners lack practice environments
45d
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Networking at conferences: Does it work for internships?
45d
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AI research optimizes for acceptance, not lasting value?
46d