801–810 of 822 posts
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Are we reading the same chart? They have Sonnet You have to test each task obviously but it is not a bad model on its face.
They have updated it
> Anthropic did post an official explanation, stating the original chart used a "simpler methodology" that "underestimated Sonnet 5's performance." The new chart supposedly uses their "standard methodology."
Oops!
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> That seems really large, but it's ~2-3x Walmart's yearly revenue, and OpenAI and Anthropic both have estimated valuations that compare to Walmart's market cap. ... It's also before cutthroat pricing really kicks in. Right, that's more of an estimate on the value proposition of the overall AI industry, rather than valuations of the industry or specific players. While I don't think OpenAI and Anthropic will capture a…
I was thinking of studies like https://www.science.org/doi/10.1126/science.adh2586 I may have misremembered the domain, or I may have neglected to remember the publishers. This time around I explicitly excluded any AI-tied sources (I don’t trust Anthropic to have an accurate study of productivity boosts). > While I don't think OpenAI and Anthropic will capture all of the potential upside, I do suspect they will do mu…
Plus the big factor in my mind for why these frontier labs will succeed -- and this is very fuzzy and hand-wavy -- is that they are very business- and government-savvy and execute extremely fast. They have the most powerful AI models at their fingertips with sharp people who know how to use them, along with insane levels of funding, and are showing the world how a truly AI-empowered organization can operate. I suspect they will thrive despite all the forces arrayed against them.
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> I don't think they're a net gain if you're a skilled senior I'm a skilled senior (I'm 54 and been coding since I was about 8; I've been 100% AI-generated code for at least 6 months now and have produced a combination of speed and quality that has astonished me; my velocity is apparent at https://github.com/pmarreck/ ) and this has been a massive net gain, so your claim is now officially in sheer defiance of reality…
We've just done an official evaluation at work, using extensive statistics on our gigantic monorepo in a company with ~2000 devs over the course of 2 years, everyone from hardware engineers to regular old frontend engineers. It's a highly profitable and mature public company, and has been for going on a decade at this point without missing a beat. We were given infinite access & budgets to basically any and all AI to…
I'm surprised no one tried fudging numbers though. That's usually what happens IME.
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Fireworks.ai is solid. And if you care more about speed than cost they have a "fast" variant that I think just throws more hardware at the model for about 2x the cost.
Fast variants are usually quantized to NVFP4, which incurs a slight degradation in intelligence.
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We've just done an official evaluation at work, using extensive statistics on our gigantic monorepo in a company with ~2000 devs over the course of 2 years, everyone from hardware engineers to regular old frontend engineers. It's a highly profitable and mature public company, and has been for going on a decade at this point without missing a beat. We were given infinite access & budgets to basically any and all AI to…
It took me so long to finally have someone else not hyping up SDD. It's the new thing at work and it's driving me insane. I'm surprised no one tried fudging numbers though. That's usually what happens IME.
Oh some of the "AI Native" teams tried in the past, before the large scale statistics came out. The funniest one was the team responsible for rolling out AI to the whole org citing numbers like 500% more productivity, compared to what? Who knows, since that team didn't exist until relatively recently.
It probably helps that we're in a highly regulated field (banking), so by default we don't chase trends, especially not ones that are potential regulatory nightmares :p Things go a bit slower, which has its pros and cons, one of the pros being that you're forced to consider the long term a bit more and you have room to plan things out and conduct reasonable experiments.
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What if you're using it for Mathematics (e.g., making progress on unsolved problems) instead of writing software? Would you consider that a valid use-case?
Who cares about what some random HN user thinks of as a "valid use case?" Engineers that are anti-AI in 2026 are simply NGMI. They have had plenty of opportunities to update their priors and seem incapable of it. No point in wasting your time with them.
I've been arguing with people online since Usenet was mostly used for discourse instead of piracy. Trust me, I know that there's no point.