261–270 of 360 posts
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They get paid for saying whatever VCs want to hear and now that thing is "we have now become an AI-native company". The thing I'm still trying to understand is who is scamming whom
Uber is publicly traded. They're not beholden to VCs any more.
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> I would prefer to search for new usages in a more strategic way I think this is very, very hard for orgs to do. Looking back at the Internet, who would have thought that it would eventually create a Netflix, Amazon, Shopify, Spotify, Google Maps, etc. Just wild the things that ended up coming out of pushing bits over a wire with few simple protocols. In an ideal world, you make strategic bets, but I can also see th…
People talked about streaming years before Netflix. Online maps apps date back to the 1990s. E-commerce as well. I definitely get the impression that many people thought it would eventually create shopping, streaming, and mapping sites. I think people were less likely to have predicted things like social media or YouTube, though those weren't ideas sprung from a vacuum either.
None of these shifts were obviously the right bet and many organizations lost because they missed the opportunity. Now orgs are on the same horizon and I can see why they don't want to miss this window.
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> The web took off all by itself because it had a clear value proposition for some use cases. Many enterprises became legacy because of the web, many enterprises failed because they didn't understand the impact of the tech. Sears was the OG Amazon. Imagine if Sears had seen it as the new digital catalog. Blockbuster missed on streaming until it was too late. Many, many legacy companies did not understand the web and…
And you think forcing blockbuster's software teams to use the Web would have changed that? You don't think they were using the web for all their corporate communications systems? I very much think they were, and getting blindsided by streaming had probably nothing to do with blockbuster's existing engineering teams not understanding the Internet. Their product teams didn't understand it, but they wouldn't be the ones…
> And you think forcing blockbuster's software teams to use the Web would have changed that?
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OP (solenoid0937) is an unfounded AI-hype peddler and an Anthropic shill (check their comment history), do not expect them to provide an actual example of their wild claims.
I checked their history and they seem alright ¯\_(ツ)_/¯
Unsubstantiated claims of 3x-10x productivity at allegedly a FAANG: https://news.ycombinator.com/item?id=48174666
More claims of the same, still unsubstantiated: https://news.ycombinator.com/item?id=48173995
Even more claims of the same, still nothing of substance: https://news.ycombinator.com/item?id=48173975
Outlandish claim of using 300$ in tokens in 1 hour at allegedly a FAANG: https://news.ycombinator.com/item?id=48158438
Ostensibly great things with unlimited tokens at allegedly a FAANG: https://news.ycombinator.com/item?id=48269185
Complaints about HN "not getting" AI: https://news.ycombinator.com/item?id=48245673
An attempt to validate vibe-coding in production: https://news.ycombinator.com/item?id=48243651
Whitewashing Claude degradation: https://news.ycombinator.com/item?id=48211638
More Claude degradation whitewashing: https://news.ycombinator.com/item?id=48245784
Whitewashing Anthropic: https://news.ycombinator.com/item?id=48199951
Promises of coming AI revolution: https://news.ycombinator.com/item?id=48188104
All of this serves to hype up the LLM technology with absolutely outlandish claims, while also propping up Anthropic online.
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Join one!
Anything more concrete?
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Most of the codebase is custom integrations for local markets. You can systematize some of it but most of the complexity comes from there.
Can you provide an example? What is different about running Uber services in Chicago vs. Indianapolis?
AI maximalists like to compare the technology to electricity. Imagine if in the early days of electrification, a CEO had rewarded staff for increasing the amount of electricity they consumed rather than finding ways to use it for business impact. Institutionalizing people who showed signs of mental illness was popular in those days, and I suspect that would have been the outcome.
What if... we stop for a moment, and then, after thinking for a moment, we stop hammering nails with a microscope, and stop using token usage as a metric of productivity? I know it's sounds stupid, but what if
and tokenmaxxing is even worse due to https://en.wikipedia.org/wiki/Goodhart%27s_law because whatever you measure with tokens, once you start "tokenmaxxing" you have no measure to look at
Why do keep doing this? It's the same as measuring by LoC, we know it's not gonna work. Also, see Goodhart's Law[1] - https://en.wikipedia.org/wiki/Goodhart%27s_law
I find it useful that if they cut the use altogether I will pay for it out of pocket.
Would you decide its usefulness based on how high the bill is, or how many things you get done while using it? The former is the issue, and how many companies have been operating. It's like a trucking company ranking driver effectiveness by fuel used instead of by cargo moved.