Haven’t noticed much significant progress in LLMs myself in 6 months (significant as in new or vastly improved capabilities or understanding, not new releases, there are plenty of those).

I feel like if anything people started to realise the significant limitations of LLMs when you try to use them as ‘agents’ which was the big direction LLM companies tried to push recently.

Best use of LLMs so far IMO is finding vulnerabilities (with human help) and pattern matching in other domains. For generating code and prose they are still mediocre and somewhat unreliable and for use as personal assistant agents I wouldn’t trust them.

So what’s happening with openclaw, the biggest experiment in agentic, vibe coded by the agents themselves? The thing that was so hot a few months ago.

https://github.com/openclaw/openclaw/pulse?period=daily

279 commits to main from 77 authors in the last 24 hours.

Why is there so much churn and how could you trust it with your data? This is changes in ONE day!

If these are useful changes, surely it’d be superhuman by now given months of this pace.

What are people using this for?