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Machine learning research and community discussion.

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Latest from r/MachineLearning

  1. CPT’d Qwen9B on Polish legal data. How to make it chat? IMPORTANTLY: how to make it reason? and function call in my harness? and which to do first? [D]há 10 d
  2. How Much Does the Hint Matter? A generic feedback line matches self-written critiques in hindsight self-distillation (ACM ICAIF '26) [R]há 11 d
  3. Cocktail-party audio as a reverse Turing test: humans beat speech models, but not by enough [P]há 11 d
  4. Could AI detection eventually become a fundamentally unsolvable problem, similar to the halting problem? [D]há 11 d
  5. How do you start with Agentic AI for a specific use case? [D]há 11 d
  6. AMA this Wednesday: Stephen “Cas” Casper, Harvard Kennedy School, on AI safeguards, incidents and governance (28 Oct, 3 to 4pm ET) [D]há 11 d
  7. [R] Taking EmbeddingGemma-2 (577M) from Rank #26 to #1 on the MAEB audio benchmark by filling its 256d null space with PCA-reduced intermediate Conformer layers (zero training) [R]há 11 d
  8. A harness that records where an LLM agent’s tool arguments came from, before the tool runs [P]há 11 d
  9. Exploring Next-Concept Modeling (NCM) & Transformer Interpretability: Repository of 20 Exploratory Studies & Controls [P]há 12 d
  10. The Paper Reviewing Process is Now in Critical Condition [D]há 12 d
  11. Understanding Transformer Autograd by Building It Manually in PyTorch [P]há 12 d
  12. Self-distillation with an EMA teacher at scale: ZeRO-3 + PEFT [P]há 12 d
  13. I built this, feedback welcome [P]há 12 d
  14. First 6-step LoRA adapters with no upsampling step, ~5x faster [N]há 12 d
  15. Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model [R]há 12 d
  16. Teachers other than EMA for distillation ? [R]há 12 d
  17. What to do with my paper, for MLsys conference? [R]há 12 d
  18. SenseNova 6.8 Code2Video: animation examples with repeated geometry, text and scientific diagrams[P]há 12 d
  19. I built a PyTorch optimizer for large GPU workloads — looking for feedback[P]há 12 d
  20. Papers with Code is now open-source [P]há 12 d
  21. Practical notes on setting up a GPU kernel-dev environment: CUDA 13's GPU cutoff, async timing pitfalls, profiler counter permissions [P]há 12 d
  22. What is the value proposition of "RL environment" companies? [D]há 12 d
  23. How to do method research when I feel I have no guidance on doing it? [D]há 12 d
  24. Fitting a 4D Mandelbulb with KS3 vs MLP [R]há 13 d
  25. [D] Self-Promotion Thread2026-10-02

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