> public dataset
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The Anthropic Economic Index
51–60 of 238 posts
Re: The Anthropic Economic Index
#52Incredible how low usage is among lawyers. Does anyone have any intuition on why?
My guess is bc hallucinations in a legal context can be fatal to a case, possibly even career endu g — there’s been some high profile cases where judges have ripped into lawyers pretty destructively.
Re: The Anthropic Economic Index
#53To what degree can you really trust these data? They obviously have a financial interest in playing with the numbers.
I would say it is trust worthy because if it were found to be gamed then Anthropic’s reputation would crater. But, we found out that OpenAI is/was gaming benchmarks ( https://news.ycombinator.com/item?id=42761648 ) and that seems to be forgotten history now - so I don’t know.
> I would say it is trust worthy because if it were found to be gamed then Anthropic’s reputation would crater.
But on the other hand, how would we found out that they've gamed the numbers, if they were gamed? Unless you work at Anthropic and have abnormally high ethics/morals, or otherwise private insight into their business, sounds like we wouldn't be able to find out regardless.
Re: The Anthropic Economic Index
#54[dead]
Re: The Anthropic Economic Index
#55I’m not surprised most of their usage is for coding tasks, but I wonder if that reflects a kind of selection bias.
HN and programming subreddits rave about Claude for coding, so it’s possible that a lot of developers use Claude for coding, but the average AI use case may weight differently on ChatGPT or Grok.
In my experience, if ChatGPT can’t solve a coding problem, I try again on Claude. Although this happens less frequently since upgrading to o1-pro and o3-mini-high. And I haven’t used Claude for anything else.
Re: The Anthropic Economic Index
#56Seems like Anthropic has too much money on their hands and are looking for ways to spend it. It’s surprising to see lean AI startups accumulate fat so quickly. Usually this sort of wheel spinning is reserved for large corporations. And it’s not just them. To me this trend screams “valuations are too high”, and maybe hints at “progress might start to stagnate soon”.
Understating who is using your product is wheel spinning?
Re: The Anthropic Economic Index
#57Earlier quoted context omitted.
> however most of what I hear from them is about industry and social impact instead of product Have you considered that, since they are a public benefit corporation staffed with people who left OpenAI in part due to more capitalistic pursuits, this is by design?
I am saying they are choosing to operate inside a failure mode, not that they are doing so accidentally.
What will fail?
Re: The Anthropic Economic Index
#58Incredible how low usage is among lawyers. Does anyone have any intuition on why?
Part of it is selection bias, Claude is much less general-audiences than ChatGPT. But any lawyers using LLMs in 2025 deserve to be disbarred:
"A Major Law Firm's ChatGPT Fail" https://davidlat.substack.com/p/morgan-and-morgan-order-to-s...
"Lawyer cites six cases made up by ChatGPT" https://arstechnica.com/tech-policy/2023/05/lawyer-cited-6-f...
"AI 'hallucinations' by ChatGPT end up costing B.C. lawyer" https://www.msn.com/en-ca/news/world/ai-hallucinations-creat...
The list goes on and on. Maybe there's a bespoke RAG solution that works...maybe.
Re: The Anthropic Economic Index
#59Incredible how low usage is among lawyers. Does anyone have any intuition on why?
Lawyers are selected for critical thinking skills and they aren't vulnerable to AI hype the way relatively poorly educated computer guys are.
Interesting article relating Adam Unikowsky asking for Claude to decide a Supreme Court case: https://blog.plover.com/tech/gpt/presidential-emoji.html
"Claude is fully capable of acting as a Supreme Court Justice right now."
Re: The Anthropic Economic Index
#60Seems like Anthropic has too much money on their hands and are looking for ways to spend it. It’s surprising to see lean AI startups accumulate fat so quickly. Usually this sort of wheel spinning is reserved for large corporations. And it’s not just them. To me this trend screams “valuations are too high”, and maybe hints at “progress might start to stagnate soon”.
idk, the models themselves are quickly becoming a commodity. it makes sense to spend money figuring out go to market rather than just improve the models themselves.