HNHacker News
TopNewBestAskShowJobs

dash-44

10 karma · joined September 21, 2026

submissionscomments
dash-44··on Several vulnerabilities have been discovered in the Linux kernel
I believe they call it semantic versioning (SemVer).
dash-44··on Gemini 4 Argon
This comment makes no sense. The original comment wasn't specifically to do with the average person hosting at home.

There are already: - hundreds of western providers hosting open models, including large ones such as Kimi K3 which is near Opus/Sol sizes.

- people hosting large models such as Kimi K3 at home. Check on reddit, there are people with 20x DGX Spark setups etc.

dash-44··on OpenAI Says It Will Not Release Newest A.I. Model Over Safety Concerns
Have GPT 5.6 Sol and GP6 6 Sol been nerfed due to the same resource constraints? They have seemed dumber recently.

If you signed up for a 16 core AWS server and they randomly kept changing it down to 8 cores, you'd sue them. How long until the same applies to these AI companies.

The amount of meddling they do to the harness, system prompt, model, quantization etc makes these products sometimes unbearable; you never know what you're going to get. A few more iterations of Qwen 27B and hopefully we won't have to deal with any of this malarky any more.

dash-44··on OpenAI Says It Will Not Release Newest A.I. Model Over Safety Concerns
Astra and Fable like to do this. It's like they're designed to one shot large tasks.

Opus and Sol are better for day to day dev work IMO in that they won't try to do too much.

dash-44··on Cf: The Agentic CLI for the Cloudflare API
Different use case but Claude Code CLI and GitHub Copilot CLI, both JS monstrosities, use 500MB at idle per session and it's not uncommon to have 10+ sessions across multiple IDE's. 5GB RAM gone on just an LLM harness doing nothing.

At least Codex CLI in rust uses 80-100MB which is still not great but a big improvement.

These AI companies screw you over from both sides. They make the cost of RAM skyrocket and then they build terrible software that uses all the RAM you have.