Claude Fable is relentlessly proactive

Post by yunwal » Fri, Jun 12, 2026, 1:05 PM UTC

simonw wrote: post #428

philipwhiuk wrote: post #420

Earlier quoted context omitted.

Isn't the whole point of a better model that it should be better at understanding you than the previous one? So the same prompt should return a better answer. Prompting differently to the new model seems entirely backwards when trying to determine if the model has improved.

It doesn't matter how good the models get, they still won't be able to act on unclear directions. Learning to provide unambiguous, clear directions is a skill. A lot of people who report bad experiences with models aren't yet good at that skill. More importantly though, the key to successful communication is having a good understanding of what the other side of the conversation already knows and understands. Saying "…

Post by lobocinza » Fri, Jun 12, 2026, 1:07 PM UTC

simonw wrote: post #393

piker wrote: post #342

Earlier quoted context omitted.

This is exactly right. By offloading this trivial task to the LLM, Simon has abandoned the opportunity to evaluate the abstraction with additional information and improve it. Instead, we let the agent spend $12 and make the fix while learning nothing.

Things I learned from this: - Fable will do a whole lot more than you might expect in order to verify a fix. I learned that it's "relentlessly proactive". That's a good title for a blog entry! - You can take screenshots of a window in macOS using the "screencapture" CLI command, but you'll need the integer window ID first. - That windowID is accessible via "Quartz.CGWindowListCopyWindowInfo(Quartz.kCGWindowListOption…

Post by lobocinza » Fri, Jun 12, 2026, 1:09 PM UTC

Dumblydorr wrote: post #409

risyachka wrote: post #379

Earlier quoted context omitted.

>> he would have learned nothing about the AI there is absolutely zero value in spending time to learn about new models as in few months new model will be out and whatever you learned about the current one will be useless. Also with models getting better and better you have to know less and less to achieve same results.

There’s zero value? Surely you don’t believe zero, it’s potentially the most powerful predictive AI in the world ever made? Maybe only incremental steps sure. But also their IPO is coming, you don’t want people evaluating them beforehand?

Post by snowwrestler » Fri, Jun 12, 2026, 1:11 PM UTC

piker wrote: post #342

bananaquant wrote: post #338

This to me reads like a poignant commentary on the catastrophic loss of human agency, with the actual commit being highly revealing [0]. Author wants to hide a horizontal scrollbar. Any junior frontend dev worth their salt will be asking right away "where do I stick `overflow-x: hidden;`?" A complete solution will then require hitting "Inspect element" in the browser to find the CSS class and running (rip)grep to fin…

This is exactly right. By offloading this trivial task to the LLM, Simon has abandoned the opportunity to evaluate the abstraction with additional information and improve it. Instead, we let the agent spend $12 and make the fix while learning nothing.

Post by mnicky » Fri, Jun 12, 2026, 1:17 PM UTC

simonw wrote: post #446

almostdeadguy wrote: post #439

Earlier quoted context omitted.

It's like saying you can learn so much about math from using SymPy to solve equations. Yes, you probably can. If you pay close attention to what is happening and can integrate the techniques being used into your knowledge. But your learnings here are what, a handful of hacks? For most people it's like being shown the chain rule (which frankly, is more general than any of these learnings) without knowing what a deriva…

> I think people with a rosy view about this are severely undercounting the problems associated with the trust relationship between a person and an LLM and what that means. Personally I think the impact of LLMs on children's education is a crisis right now. Kids are not going to learn to write if an LLM writes their essays for them. And writing is how you learn to think.