101–110 of 114 posts
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Maybe the lesson here is we shouldn't rely on the guys selling picks and shovels when determining if we should be buying picks and shovels.
I’m the CEO of a hot dog company. I’ve worked on hot dogs for 10 years. And I wasn’t prepared for what I’ve just seen. Your life is about to change. So what can you do? Buy as many hot dogs as you can. Buy stock in hot dog companies.
We are afraid to release it to the public! And thus we are shutting down the company. We don't want humans polluting Moon and the atmosphere and space!
Look, we're using Uber Eats to order food for "free food Tuesdays" in our office. I'm struggling to not puke using their interface, and a couple of times I gave up ordering even though it was free. Every click can take 2-5 seconds to be processed, without any indication. Menus glitch. I once got 2 copies of my order because I rage-clicked the "Finish" button several times. So you're trying to do high-end AI when you…
As for all the associated bugs, it's inexcusable and I'm still unsure how most of them even get by QA. Engineering culture there has gone downhill; I saw the majority of great engineers leave during my tenure after being fed up with the endless cronyism + promo-project culture.
I see things like 2 sentence menu summaries in Uber Eats that are completely off in tone. A quick sample from my app right now: “Authentic Caribbean Flavours. Jerk Chicken, Curry Goat, and more. A vibrant culinary journey awaits.” - local Caribbean place “Customisable burgers with 250,000+ toppings. Hand-cut fries and rich milkshakes await.” - Five Guys “Authentic Indian cuisine bursting with rich flavours. Perfect f…
Aside from the hilarious "250,000+ toppings" error, these summaries seem... fine? I would be unsurprised to learn that a human came up with them, even. Seems like pretty common/standard marketing copy.
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Maybe each one is fine in isolation - what doesn’t come across from the sample is that every single one is practically the same. If you have Uber Eats, open up the app and look through the summaries for a bunch of restaurants and you’ll see what I mean. And besides that, this just feels like something nobody asked for that probably doesn’t sell more food compared to, for example, more pictures.
Most restaurant food is all the same though because they buy everything from Sysco.
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> But why does Uber need to spend 3.4B on injecting a useless blob of text They didn't. 3.4B was their total R&B cost. Don't blame AI for your human hallucination.
Why does a fast food delivery service need a research arm in the first place? It's not exactly rocket surgery.
Holy misleading headlines Batman. They're not spending $3.4B on solely tokens for Anthropic are they? I don't think so... If anything the CTO is just saying, we're blowing through token budgets way faster than expected as the uptake is so immense. I think that's right from what I've seen. Once people get it, they start using AI for everything. Obviously that's not going to be sustainable forever. I do think we're goi…
Why would that not be sustainable forever? Over the long run the price per token is likely to decline as both hardware and software gets more efficient.
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Most restaurant food is all the same though because they buy everything from Sysco.
That's like saying most home cooking in the country is the same because everything comes from Walmart/Kroger/Meijer.
https://www.thenation.com/article/society/restaurant-consoli...
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Why would that not be sustainable forever? Over the long run the price per token is likely to decline as both hardware and software gets more efficient.
It’s being subsidized by investor cash bonfires right now isn’t it? TBD if it gets cheap to operate before those run out.
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The main question is: what is demand elasticity for software? If it low, and lower prices won’t generate much new demand, we should expect AI to improve engineering productivity, and for companies to reduce staff. If it is high, then we should see companies hire more engineers, increase output and lower prices (and earn more).
Every time the cost of software development has gone down due to higher level tools we've gotten higher software budgets, more software developers, and more released software. Demand appears to be effectively infinite.