Welcome to publications involving ML in 2026... Glad to see someone else write this though because it's important to start having these discussions. Too much overselling has been happening for too long. There is so much great about ML. IMO it hurts the field long-term to continue overselling claims like this.

In my field (biology+ML) it is a genuine epidemic. You could make a career out of comparing high-profile ML models vs baselines from the 90s.

edit: lo and behold! https://x.com/SchmidhuberAI/status/2117446822855888956

Waiting for

The "The 'Astra can read and write weights to improve Qwen' post is misleading" post is misleading.

But can we use the idea inside the training loop, as an optimizer instead of (or next to) e.g. Adam?

Who watches the pruners?

A better idea is to have Astra modify it's own weights and let it try if it can RSI, but you gonna need to closely monitor for actual leap in capabilities so you can keep a check on alignment.

This goes to show that AI psychosis on HN is real, especially when many AI researchers have repeatedly dismissed this paper as highly misleading.

This isn't a good look. The original article clearly states what the model was doing, and this new hit piece is supposed to land because they are straw manning the comments on the original post? This isn't reddit dude.

This could have been a comment on the original article.

[flagged]