codingmoh

10 ms·

1. 1.▲
   by codingmoh 6mo ago

   thank you, I'll consider that
2. 2.▲
   by codingmoh 6mo ago

   Okay, sorry, I meant to make to emulate physical monitor
3. 3.▲
   by codingmoh 6mo ago

   I did not use claude code, but codex, and I am fetching space weather from NOAA SWPc, trajectory, distance, speed, and comms delay are computed from NASA's published Artemis II mission plan parameters, not pulled live from NASA telemet
4. 4.▲
   by codingmoh 6mo ago

   Hey, I've responded before, I need to update the visualization: Iam fetching space weather from NOAA SWPC. Trajectory, distance, speed, and comms delay are computed from NASA's published Artemis II mission plan parameters, not pul
5. 5.▲
   by codingmoh 6mo ago

   I am fetching space weather from NOAA SWPC. Trajectory, distance, speed, and comms delay are computed from NASA’s published Artemis II mission plan parameters, not pulled live from NASA telemetry. Also, the current discrepancy is likely cau
6. 6.▲
   Show HN: Made a little Artemis II tracker(artemis-ii-tracker.com)

   154 points by codingmoh 6mo ago|61 comments
7. 7.▲
   Serving 100s of LLMs on 1 GPU with LoRAX [video](youtube.com)

   2 points by codingmoh 1y ago|0 comments
8. 8.▲
   AI-assisted coding for teams that can't get away with vibes(blog.nilenso.com)

   3 points by codingmoh 1y ago|0 comments
9. 9.▲
   Show HN: An AI tutors that teaches AI(vivaverbalis.com)

   5 points by codingmoh 1y ago|2 comments
10. 10.▲
    Fame and Frustration on the New Media Circuit(vulture.com)

    1 points by codingmoh 1y ago|0 comments
11. 11.▲
    by codingmoh 1y ago

    oh wow - that's cool! - Thanks so much for sharing!
12. 12.▲
    by codingmoh 1y ago

    In theory, it seemed perfect for flexible manufacturing: same machine, same material, endless outputs. But in practice, it hit limits in speed, material properties, and post-processing. You still can’t print a high-tolerance metal part at s
13. 13.▲
    You are the heir to something greater than Empire(noahpinion.blog)

    6 points by codingmoh 1y ago|1 comments
14. 14.▲
    by codingmoh 1y ago

    Thanks, I'll have a look
15. 15.▲
    by codingmoh 1y ago

    Hey, that is a very good question, I have answered that before. I hope you don't mind, if I simply copy paste my previous answer: Technically you can use the original Codex CLI with a local LLM - if your inference provider implements t
16. 16.▲
    by codingmoh 1y ago

    Thanks for bringing that up - it's exactly why I approached it this way from the start. Technically you can use the original Codex CLI with a local LLM - if your inference provider implements the OpenAI Chat Completions API, with funct
17. 17.▲
    by codingmoh 1y ago

    Thank you so much!
18. 18.▲
    Nutrition Beliefs Are Just-So Stories(cremieux.xyz)

    4 points by codingmoh 1y ago|0 comments
19. 19.▲
    by codingmoh 1y ago

    I want to add support for qwen 2.5 next
20. 20.▲
    by codingmoh 1y ago

    Thanks so much! Was the model too big to run locally? That’s one of the reasons I went with phi-4-mini - surprisingly high quality for its size and speed. It handled multi-step reasoning, math, structured data extraction, and code pretty we
21. 21.▲
    by codingmoh 1y ago

    Hey, this is really cool! Curious how good the multi-language support is. Also - pretty wild that you trained the whole thing yourselves, especially without prior experience in speech models. Might actually be helpful for others if you ever
22. 22.▲
    by codingmoh 1y ago

    I saw pretty good reasoning quality with phi-4-mini. But alright - I’ll still run some tests with qwen2.5-coder and plan to add support for it next. Would be great to compare them side by side in practical shell tasks. Thanks so much for th
23. 23.▲
    by codingmoh 1y ago

    fair jab - haha; if we’re gonna go small, might as well go fully local and open. At least with phi-4-mini you don’t need an API key, and you can tweak/replace the model easily
24. 24.▲
    by codingmoh 1y ago

    I went with Phi as the default model because, after some testing, I was honestly surprised by how high the quality was relative to its size and speed. The responses felt better in some reasoning tasks-but were running on way less hardware.
25. 25.▲
    Show HN: Open Codex – OpenAI Codex CLI with open-source LLMs(github.com)

    106 points by codingmoh 1y ago|37 comments
26. 26.▲
    by codingmoh 1y ago

    I know exactly what you mean—it’s the same cycle I’ve seen in countless projects, with every project spiraling into a brittle pipeline that’s hard to maintain. Despite all the promising ideas, we never seem to nail down a universal solution
27. 27.▲
    by codingmoh 1y ago

    Yeah, I agree. DSLs tend to become a maintenance burden over time! transducers let you compose data transformations independently of the data source (in-memory, async, etc.), which sidesteps a lot of the pitfalls that a full DSL might intro
28. 28.▲
    by codingmoh 1y ago

    No, I haven’t looked into Snakemake or Nextflow yet, but they seem intriguing -amazing, thanks for the suggestion!
29. 29.▲
    by codingmoh 1y ago

    Dagster is definitely one of the more polished orchestrators out there, and I like how it embraces the idea of resources and custom DSL-style components. It’s also cool that you’re using it at Magenta/Telekom at scale. The only caution
30. 30.▲
    by codingmoh 1y ago

    I get why so many teams roll their yaml based system, as it feels more straightforward to build something tailored to your needs than trying to shoehorn the generalities in. But that’s exactly the tricky part: the moment you try to accommod