121–130 of 238 posts
- but then later mention they didn't include API queries in the data, only Free and Pro queries on the website. Most "full automation" type queries would use the API, not the web interface (and nowadays probably wouldn't use Claude anyway due to how expensive its API is compared to Deepseek R1 or O3 Mini).
Earlier quoted context omitted.
I'm not sure if you are being sarcastic or not, but the practical upshot of this new "Public Benefit Corporation" thing, with or without a trust or non-profit attached, is that you can tell both the public and your investors to fuck off. The reason why all the big AI startups suddenly want to use it is because they can. Normally no sane investor would actually invest in such a structure, but right now the fear that y…
Can you imagine a hypothetical AI company that did care about humanity, and if so, how would it look different from Anthropic?
It wouldn't specifically brag about doing it, while leaving out that they were specifically dealing with Palantir, because they know what they're doing is unethical: https://www.anthropic.com/news/expanding-access-to-claude-fo...
Being available for use by militaries is incredibly irresponsible, regardless of what scope is specifically claimed, because of the inherent gravity of the situation when a military is wrong. The US military maintains a good deal of infrastructure in the US; putting into their hands an unreliable, incompetent calculator puts lives at risk.
It would be structured as a non-profit (there are no teeth to a PBC; the structure is entirely to avoid liability, and if you have no trust in the executive body of an organization, it has zero meaningful signal).
It would have a different leadership team.
It would have a leader who could steelman his own position competently. Machines of Loving Grace was less redeeming than Lenat's old stump speeches for his position, despite Amodei starting up in an industry significantly more geared for what he had to say, and Lenat having an incredibly flexible sense of morality. Its leader would not have a history working for Chinese companies and jingoistically begin advocating for export controls.
It would have different employees than the people I know who are working there, who have a history of picking the most unethical employers they can find, in a fashion not dissimilar to how Illumination Entertainment's "Minions" select employers.
Awesome that there are releasing this paper and the associated data. I hope they'll do this regularly, so that changes can be tracked. One thing I hope they'll correct going forward is inclusion of API usage. Anecdotally, I only use Anthropic models via Cursor. So none of that usage shows up in here. I'd expect that specialized tools/interfaces like Cursor will grow and thus more usage will shift to API. It would be…
This more or less confirms what I imagine most of us thought, AI is mostly used by engineers, or for engineering tasks. Makes sense, I wonder how much traffic comes from automated tasks (co-pilot, etc). Every time I read a report like this I do wonder if we'll ever see an ROI on LLMs. HUNDREDS of billions of dollars of spend, and 3 years in its still primarily the same crowd using it, and has yet to create a "killer"…
I love Claude, but let's not ignore that in the LLM race, they're not exactly the leading player.
This more or less confirms what I imagine most of us thought, AI is mostly used by engineers, or for engineering tasks. Makes sense, I wonder how much traffic comes from automated tasks (co-pilot, etc). Every time I read a report like this I do wonder if we'll ever see an ROI on LLMs. HUNDREDS of billions of dollars of spend, and 3 years in its still primarily the same crowd using it, and has yet to create a "killer"…
Minor nitpick. Use of the word 'spend' as a noun is not widespread and not well known.
I'd love to see this analysis done for ChatGPT, which has a much bigger 'consumer' marketshare. I'm also very wary of their analysis method, given classifiers-gonna-classify. We already see it in their example of someone asking why their game is crashing and it buckets them into Computer & Mathematical occupation. I'm guessing the original question was not that of a game developer but rather a game player, so can you…
Yeah. reminds me of the ancient okcupid data analysis blogs and not the creepy one by sleep8. The group I'm surprised not to see represented in their analysis is "personal", where people I know use ChatGPT as a therapist/life coach/sms analysis&editor. and of course they crucially but understandably left off the denominator. 35% of a million requests is different than 35% of a billion. and also how many of the conver…
Not statistically.
This more or less confirms what I imagine most of us thought, AI is mostly used by engineers, or for engineering tasks. Makes sense, I wonder how much traffic comes from automated tasks (co-pilot, etc). Every time I read a report like this I do wonder if we'll ever see an ROI on LLMs. HUNDREDS of billions of dollars of spend, and 3 years in its still primarily the same crowd using it, and has yet to create a "killer"…
I think the problem is the data. Software engineering is a weird niche that is both a high paying job and something you can almost self-teach from widely available free online content. If not self-teach, you can rely on free online content for troubleshooting, examples, etc. A lot of other industries/jobs are more of an apprenticeship model, with little data and even less freely available on open internet.
If you meant programming, I agree it could be self-taught, but not SE. SE is the set of techniques, practices, tools that we have collected over decades for producing multi-versioned software that meets a certain reliability rating. Not all of these is freely available online.
This more or less confirms what I imagine most of us thought, AI is mostly used by engineers, or for engineering tasks. Makes sense, I wonder how much traffic comes from automated tasks (co-pilot, etc). Every time I read a report like this I do wonder if we'll ever see an ROI on LLMs. HUNDREDS of billions of dollars of spend, and 3 years in its still primarily the same crowd using it, and has yet to create a "killer"…
> I fear the economic reality on the backside of this kind of spend. Minor nitpick. Use of the word 'spend' as a noun is not widespread and not well known.
Is the noun spend rare?
ChatGPT said:
The noun "spend" is relatively rare compared to its more common form as a verb. While "spend" is widely used as a verb (meaning to give money or time for something), as a noun, it refers to an expenditure or the act of spending, and it’s not as commonly encountered.
In most contexts, people would use alternatives like "expenditure," "spending," or "outlay" instead of "spend" as a noun. That said, it is still used occasionally in certain contexts, especially in financial or informal language.Earlier quoted context omitted.
Yeah. reminds me of the ancient okcupid data analysis blogs and not the creepy one by sleep8. The group I'm surprised not to see represented in their analysis is "personal", where people I know use ChatGPT as a therapist/life coach/sms analysis&editor. and of course they crucially but understandably left off the denominator. 35% of a million requests is different than 35% of a billion. and also how many of the conver…
> 35% of a million requests is different than 35% of a billion. Not statistically.
Earlier quoted context omitted.
I think the problem is the data. Software engineering is a weird niche that is both a high paying job and something you can almost self-teach from widely available free online content. If not self-teach, you can rely on free online content for troubleshooting, examples, etc. A lot of other industries/jobs are more of an apprenticeship model, with little data and even less freely available on open internet.
> Software engineering is a weird niche that is both a high paying job and something you can almost self-teach If you meant programming, I agree it could be self-taught, but not SE. SE is the set of techniques, practices, tools that we have collected over decades for producing multi-versioned software that meets a certain reliability rating. Not all of these is freely available online.
The contrast is that for a lot of other jobs, the rote tasks are not routinely solvable with free online content in text form.