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  1. Nanocode: The best Claude Code that $200 can buy in pure JAX on TPUs (github.com)
    219 points 11
  2. Batrachochytrium Dendrobatidis (en.wikipedia.org)
    4 points 0
  3. Finetuning GPT-OSS with Axolotl (github.com)
    3 points 0
  4. Accelerate ND-Parallel: A Guide to Efficient Multi-GPU Training (huggingface.co)
    3 points 0
  5. Training LLMs with GRPO and Interpreter Feedback Using WebAssembly (huggingface.co)
    3 points 0
  6. Training Large Language Models with Interpreter Feedback Using WebAssembly (huggingface.co)
    1 points 0
  7. DeepSeek-V3-0324 (huggingface.co)
    5 points 2
  8. Training Process Reward Models in Axolotl (axolotlai.substack.com)
    2 points 0
  9. Torchtune – a native PyTorch library for fine-tuning LLMs (github.com)
    2 points 0
  10. (Deep Learning Based) Opportunistic Screening to Improve Statin Rates (ahajournals.org)
    1 points 0
  11. The theory of Proximal Policy Optimisation implementations (salmanmohammadi.github.io)
    1 points 0
  12. Ask HN: Feel like I'm being lowballed by founders. Where do I go from here?

    I'm employee #4 at a pre-seed startup. Their main offering is a digital continous improvement solution targeting large corps. Employees #1-3 are all app developers. Significant projected revenue for the company revolves…

    5 points 13