Earlier quoted context omitted.
Seems like this model delivers on what has already been scaling quite nicely, which is the length and complexity of the requested tasks, but isn't such a big improvement on what hasn't been scaling so far - common sense, discernment, good judgement.
> common sense, discernment, good judgement I feel like the whole point of all the experimentation with AI right now is determining whether any of these things actually matter to the end result, over various timeframes.
Claude Fable is relentlessly proactive
621–630 of 748 posts
Re: Claude Fable is relentlessly proactive
#622Earlier quoted context omitted.
That's bad news for all of the other "AI influencers", off the top of my head I can't think of any with remotely my track record of hitting HN. (That's because they're all busy attracting millions of views on TikTok and YouTube, which are much more impactful channels than my dedication to blogging like it's 2005.)
That's what I meant by other thought leadership things - that's all covering different niches. For what it's worth, I think you do useful work and are a respectible influencer. I'd also say don't be down about your use of blogging - I'd say it makes you more valuable, there aren't that many decision-makers who are going to sit through a bunch of breathless YouTube videos... P.S. I hope you don't object to me using th…
Re: Claude Fable is relentlessly proactive
#623Simon: s/contendor/contender/ As per usual super interesting, thank you for the write up and work!
Re: Claude Fable is relentlessly proactive
#624Earlier quoted context omitted.
Subsidies played a huge role, including the eminent domain bulldozing of cities for free-at-use highways. If people had to pay upfront for those costs, the urban landscape would look much different (probably closer to Japanese cities, which do have massive suburbs, but centred around train stations). Yet Japan does still have cars (and a car culture even), they're just not necessarily the default or dominant mode of…
Sure, nobody is saying cars are useless or unfun, I'm just pushing back against the idea that everything car everywhere is a natural and intrinsic outcome from cars existing. As I noted, even in the netherlands cars are common , the dutch have a very dense road network, and a fair amount of cars.
For me, cars are a perfectly fine mode of transport, but the way so many places prioritize it over alternatives (whatever the reason) isn't necessarily better.
My "wtf" moment was 20 years ago when I was visiting my cousin in an exurb and we sat in a line of cars for over 40 minutes waiting for our turn to pick up her kid. The messed up part was that while there were school busses, everything was so spread out that the bus ride for them would have been over an hour and then another 20 minute walk from the arterial road drop-off point to their house. Everything was far away, including local public parks.
Re: Claude Fable is relentlessly proactive
#625I am not blaming OP but agentic coding its not effective
Re: Claude Fable is relentlessly proactive
#626Earlier quoted context omitted.
I don't know what problems you're working on but Fable is not just better, it is a step change from GPT 5.5 in my experience. It feels at least one major model generation ahead.
It doesn't for me. I use Fable to make plans, then give them to GPT 5.5 to review, and it always finds flaws and edge cases that Fable misses (some are really critical). It was the same with Opus 4.8. I'll admit it finds a bit fewer issues now, but Fable feels more like an incremental improvement than a major generation ahead.
Note, this is better than it was with Opus, where it was more like 90% of the time the Codex plans were obviously better.
Re: Claude Fable is relentlessly proactive
#627Re: Claude Fable is relentlessly proactive
#628Earlier quoted context omitted.
I was trying to capture the idea that Claude Fable will act a whole lot more aggressively in pursuit of the goals that you set it than other models I've worked with. The case I described is a good example of this. I told it to fix a scroll bar, and it built test HTML pages and a throwaway Python server and tried several ways of testing in a browser before settling on a weird Frankenstein mechanism because it identifi…
It's not being aggressive, it's just trying throwing shit at problems until it sticks... or doesn't. That doesn't make it smart or aggressive, if anything it's just been turned to crank tokens until something happens, which doesn't make it a good model. Why are you positively anthropomorphizing this? It's an LLM, it's been tuned via RL, and it's been tuned by engineers at Anthropic to use a metric fuck-load of sub-ag…
The vast majority of the work the agent did was to reproduce the issue using the limited tooling it had access to. I don't see how that qualifies as "just trying throwing shit at problems until it sticks"
Re: Claude Fable is relentlessly proactive
#629Earlier quoted context omitted.
The science fiction AI of my childhood was Cortana, who was a lot more cool than a relentlessly proactive token torcher which burned 12 bucks to fix some CSS.
You can literally make Cortana with modern LLMs. Or something close to it. Especially as models like this are trained: https://thinkingmachines.ai/blog/interaction-models/
Re: Claude Fable is relentlessly proactive
#630Fable feels like a version of Opus running on a harness that won't let it halt until it's sure the issue is fixed, which makes sense if what you want is a model that's better at benchmarks. It's a very good model, but it comes at a huge premium: not only do the tokens cost more, but the model itself really wants to spend them all. For example, working with React Native, Fable never just says "okay, I did the thing, t…
I've found the opposite. Granted I use sub agents heavily but I've had it run for hours with far fewer tokens used than when I was previously using opus4.6-8.