Astra can read and write weights to improve Qwen
11 comments
- Points2398
- Comments751
11 comments
Story details from Hacker News ↗ · linked article on rikiyat.github.io.
Astra can read and write weights to improve Qwen was first seen on Hacker News · Front page on Nov 2, 2026. Since then it has appeared in 85 checks on 2 different days. Its best position was #1 of 30, reached on Nov 2, 21:37 UTC. It dropped off the list after Nov 3, 16:07 UTC. The same link also trended on Lobsters, which raises its cross-platform score.
Position on Hacker News · Front page at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hacker News.
| List | Best | Days | Checks | Last seen |
|---|---|---|---|---|
| Hacker News · Front page | #1 | 2 | 85 | |
| LLobsters · Hottest Sparks of Weight-Space Programming: LLMs can natively read & write… | same link | |||
A few top-level comments from Hacker News, shortened. Read the full thread on Hacker News.
Respectfully to the authors and to everyone here, I ask you to actually read the paper before losing your mind, or at the very least plug it into Claude. It is a cool project but not as nearly as insane as people say. I think the blog writing and subsequent posting overstate the results. Part of my research is in…
This is insane. Astra can, without tooling, determine what games small networks are trained on, can edit the weights of networks directly to improve outcomes, and can hand edit a small qwen model to improve its math skills by like 5x. I'm shook. If you'd asked me this morning whether LLMs have native understanding of…
And here we go... As others have said, while still absolutely insane, I don't find it completely out-of-the-blue surprising. One of the recurring abilities of (current-generation) LLMs seem to be to rapidly grasp very complex systems, where humans would need months or years to reach the same level of expertise. You…
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Not at the moment. It was last on the list on Nov 3, 16:07 UTC, after 2 days of trending.
#1 on Hacker News · Front page, on Nov 2, 21:37 UTC. Trendoday checks this list every 15 minutes.
It was first seen on Nov 2, 2026 and has been on the list on 2 days (85 checks) since.
2398 points and 751 comments; submitted by dbreunig on Nov 2, 2026.