thomasm6m6
Joined 1 year ago
Karma
207
Submissions
22
Member since
Feb 17
Recent submissions
Comment · 5 months ago
FYI, llama.cpp (which antirez/ds4 is inspired by) supports system ram. E.g. [1] is a good guide for running a similar-sized model with 128gb ram and a 3090-sized GPU.
[1] https://unsloth.ai/docs/models/tutorials/minimax-m27
(Unsloth's deepseek-v4 support is still WIP)
Comment · 6 months ago
And OpenCode just added `opencode export --sanitize` for PII redaction
Comment · 6 months ago
There's https://github.com/badlogic/pi-share-hf by the creator of pi-coding-agent, to redact session data and publish on Huggingface. You can find others of the same idea for Claude Code/Codex on Github, though of varying redaction quality. Or have your LLM fork pi-share-hf to work for your preferred coding agent.
Clem Delangue (HF CEO) tweeted about this[1] and mentioned https://traces.com/ for exporting Claude sessions
Edit: It looks like HF now supports importing your agent's session directory directly[2] (I hope they're redacting PII?)
[1] https://x.com/ClementDelangue/status/2041189872556269697
Comment · 9 months ago
post title should be dated. earliest archive.org snapshot is from 2018:
https://web.archive.org/web/20180501000000*/https://www.medi...
Comment · 10 months ago
script is here: https://github.com/vtomnet/hn35/blob/main/generate.py
the prompt indeed began with "We are working on a fun project to create a humorous imagining of what the Hacker News front page might look like in 10 years."
Comment · 10 months ago
> A 100% Rust kernel is now upstream in Linux 7.4
the future predicted by gemini is already coming true; from 3 hours ago <https://news.ycombinator.com/item?id=46213585>:
"Rust ... is now a core part of the kernel and is here to stay"
Comment · 10 months ago
re: image gen, have you seen the more recent models? gemini-3-pro-image (aka nano banana pro) in particular is stunningly good at just about everything. examples: https://vtom.net/banana/
Comment · 10 months ago
oh, didn't realize it required login. it's an implementation of the "llm simulates a world as you go" idea. screenshots and twitter for context:
https://sw.vtom.net/tmp/worldsim1.png
https://sw.vtom.net/tmp/worldsim2.png
Comment · 10 months ago
thanks! here's the script for reference: https://github.com/vtomnet/hn35/blob/main/generate.py
Comment · 10 months ago
wow that's cool. didn't expect an llm could make that complex of a ui. it's giving me flashbacks to simulating reddit threads with llama in early 2023
Comment · 10 months ago
Now I'm curious to try something more real-time. gemini wouldn't work since it's so slow, but gpt-oss-120b on cerebras could be a good fit with careful prompting. might do this after finals
also worth linking https://worldsim.nousresearch.com/console
Comment · 10 months ago
Ah that one was generated with an earlier prompt, where I asked it to use the original comment count from TFA (mostly as a suggestion, I don't expect it would get the exact number). Then I realized that was too many and it would end up repeating tropes for the other submissions' comments, so reduced it to a random comment count from 20-100
Comment · 10 months ago
good point. some of the comments actually do have >1 children, e.g. a few here (https://sw.vtom.net/hn35/item.html?id=90098555), but it'd be better if more random
https://x.com/vtomnet
https://github.com/vtomnet