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ChrisRackauckas

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  1. Dyad 2.0: What Agentic AI Means for the Future of Computer Languages (juliahub.com)
    3 points 0
  2. Agentic AI for Model-Based Engineering: How Dyad Ensures Correctness (juliahub.com)
    3 points 0
  3. Why No Ode Solver Is Best (stochasticlifestyle.com)
    2 points 1
  4. A guide to Gen AI / LLM vibecoding for expert programmers (stochasticlifestyle.com)
    128 points 23
  5. Why Dyad?: A Perspective for Modelica Users (juliahub.com)
    3 points 0
  6. Dyad: Making Hardware as Easy as Software (juliahub.com)
    3 points 1
  7. HuggingFace deprecates TensorFlow and Jax support (twitter.com)
    5 points 1
  8. Machine learning with hard constraints: Neural Differential-Algebraic Equations (stochasticlifestyle.com)
    2 points 0
  9. How chaotic is chaos? How some AI for Science / SciML overstates accuracy claims (stochasticlifestyle.com)
    4 points 0
  10. Compilation of Julia code for deployment in model-based engineering (arxiv.org)
    4 points 0
  11. Julia Developer Experience with Tim Holy – Julia Dispatch Podcast [video] (youtube.com)
    3 points 1
  12. Static Compilation of Julia with Jeff Bezanson – Julia Dispatch Podcast [video] (youtube.com)
    7 points 0
  13. Add –trim option for generating smaller binaries (jbytecode.github.io)
    3 points 0
  14. Semantic Versioning (Semver) is flawed, and Downgrade CI is required to fix it (stochasticlifestyle.com)
    4 points 1
  15. Julia SciML Lorenz equation solver staically compiled to WebAssembly (tshort.github.io)
    3 points 3
  16. 1 points 0
  17. 1 points 0
  18. Julia will cache precompiled binaries of packages v1.9 (twitter.com)
    4 points 0
  19. Show HN: Differentiable Programming on Discrete Stochastic Programs (twitter.com)
    2 points 0
  20. Automatic Differentiation of Solvers vs. Analytical Adjoints: Which Is Better? (stochasticlifestyle.com)
    2 points 0
  21. Julia SciML Ecosystem Update: Better Error Messages, Compile Times, and Docs (sciml.ai)
    3 points 0
  22. Is Differentiable Programming Necessary? (stochasticlifestyle.com)
    3 points 0
  23. Julia Back-End for LFortran (LFortran – Julia Transpilation) (discourse.julialang.org)
    55 points 4
  24. How Julia ODE Solve Compile Time Was Reduced from 30 Seconds to 0.1 (sciml.ai)
    177 points 17
  25. Julia for Epidemiology (medium.com)
    5 points 0