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The hype cycle repeats again this time with AI. There will be a lot of noise and fury (after blockchain, nocode, big data, cloud etc etc). The good part is that

The hype cycle repeats again this time with AI. There will be a lot of noise and fury (after blockchain, nocode, big data, cloud etc etc). The good part is that consumers will vote with their attention and wallets. Only the products that bring real value based on non trivial insights into specific markets will survive. The rest will slowly die off and be forgotten. Also a lot of the VC money just ends up going back to the big players that have monopolized the channels to reach customers and the systems to run those ‘businesses’. Here’s a good overview of the scaling difficulties with AI: ‘Most AI systems today aren’t quite software, in the traditional sense. And AI businesses, as a result, don’t look exactly like software businesses. They involve ongoing human support and material variable costs. These traits make AI feel, to an extent, like a services business’ https://a16z.com/the-new-business-of-ai-and-how-its-different-from-traditional-software/ https://a16z.com/the-new-business-of-ai-and-how-its-differen...

dvfjsdhgfv 2y ago
> Only the products that bring real value based on non trivial insights into specific markets will survive. True, but this can easily take decades - vide Uber.
- muzani 2y ago
  There's a frozen yogurt chain here that nobody buys from. But they take forever to close down. One of the conditions to opening a store is having years of warchest. Most don't close because of ego; they stay lean forever. A company that raises millions or billions? With tech, you can just fire everyone, shut down almost every server, and still keep running. Maybe that's what a lot of them are doing now. Some have laid off almost everyone but the people who know which server to shut down.
  - dvfjsdhgfv 2y ago
    Well, my experience is the opposite - the scheme you describe works if you get one lump sum upfront. But what normally happens is that investors are more careful and will gladly give you more money each year provided that you fullfill certain conditions (growth!). Sure, you can miss the mark a few times, but you have to at least pretend you are doing something - and firing everybody except the senior devops lead probably won't cut it.
jsheard 2y ago
> The hype cycle repeats again this time with AI. There will be a lot of noise and fury (after blockchain, nocode, big data, cloud etc etc). It's often literally the same people who were riding the last hype cycle, too. The guys behind the Rabbit R1 AI wearable were NFT metaverse grifters before they became AI grifters, for example. All the annoying tech influencers who wanted you to subscribe to their blockchain newsletter are now suddenly AI experts.
- altdataseller 2y ago
  Who are some noticeable examples?
  - karanveer 2y ago
    yeah same question

dvfjsdhgfv 2y ago

> Only the products that bring real value based on non trivial insights into specific markets will survive. True, but this can easily take decades - vide Uber.

muzani 2y ago
There's a frozen yogurt chain here that nobody buys from. But they take forever to close down. One of the conditions to opening a store is having years of warchest. Most don't close because of ego; they stay lean forever. A company that raises millions or billions? With tech, you can just fire everyone, shut down almost every server, and still keep running. Maybe that's what a lot of them are doing now. Some have laid off almost everyone but the people who know which server to shut down.
- dvfjsdhgfv 2y ago
  Well, my experience is the opposite - the scheme you describe works if you get one lump sum upfront. But what normally happens is that investors are more careful and will gladly give you more money each year provided that you fullfill certain conditions (growth!). Sure, you can miss the mark a few times, but you have to at least pretend you are doing something - and firing everybody except the senior devops lead probably won't cut it.

jsheard 2y ago

> The hype cycle repeats again this time with AI. There will be a lot of noise and fury (after blockchain, nocode, big data, cloud etc etc). It's often literally the same people who were riding the last hype cycle, too. The guys behind the Rabbit R1 AI wearable were NFT metaverse grifters before they became AI grifters, for example. All the annoying tech influencers who wanted you to subscribe to their blockchain newsletter are now suddenly AI experts.

altdataseller 2y ago
Who are some noticeable examples?
- karanveer 2y ago
  yeah same question