IMO Astra isn’t really lazy, just extremely literal so when you use it side by side with gpt-6.1-sol, it might appear more lazy but it’s often just the big difference in prompting between the 2. Astra wants a clear goal definition of what you want it to do, while sol infers a bit more. And the Claude’s infer a lot lot more.

From memory, prompts like “this file is a bit messy” would trigger Sol and Claude to start editing the file immediately, while Astra wouldn’t. But if you give Astra a clear plan and a definition of what you want it to do, then it will keep working until that ask is fulfilled.

Especially compared with Claude that’s a huge difference, Claude is so proactive, I have to ESC it multiple times during the day and tell it to wait because I only asked a simple question.

I imagine this is basically not at all due to actual model changes.

If you use Codex, Claude Code, etc, those are being constantly updated. That sort of behavior would be highly harness dependent.

My guess is models are constantly tweaked behind the scenes to adjust to available resources, steer people to other models, accommodate usage on other models, try out optimizations, etc.

Performance seems to vary like the weather.

I think you also likely have three letter agencies involved heavily now. The NSA is, without a doubt, policing what can be offered to the public and ensuring what the NSA has access to is a step or two beyond what is public.