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How the AI bubble ate Y Combinator

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Re: How the AI bubble ate Y Combinator

#42
post #3

“All the smart kids of the Bay Area want to work on AI,” Operative word here is "kids", and from what I can tell they're not even the smart ones, just the ones who are more geared toward being money and status-obsessed.

I'd be interested in demographic information about devs working on AI that'd back this claim.

Re: How the AI bubble ate Y Combinator

#43

AI ate HN also. It’s ridiculous how many articles are about AI now. Are we truly out of any new ideas? Can we not talk about something else? I kind of like AI but it’s a tool, I don’t talk about my screwdriver constantly.

I wouldn't say that.

"AI" (quotes deliberate) is the biggest story in tech, right now, for better or for worse. HN is a news site, so it's fairly logical that "AI" would dominate.

It wasn't that long ago, that you couldn't find a pitch deck, anywhere, that was missing the word "Blockchain."

I'm finding it interesting. It's definitely a bubble, but unlike crypto, there's some real utility here. I do think that we'll be seeing some excellent stuff (and some awful crap) down the road.

Re: How the AI bubble ate Y Combinator

#44
post #4

It's certainly eating up a lot of the threads on HN.

Exactly my thoughts. Couldn't agree more really, there is so much to discuss on this short time that we have on earth but a lot of that energy is going into talking about AI and AI again it seems. I have nothing against the tech but c'mon I would argue that open source itself overall is more valuable than AI but that isn't an apples to orange comparison but still, I see far fewer discussions of open source as compared to AI.

Maybe Open source is just on mind a lot these recent days.

Re: How the AI bubble ate Y Combinator

#45

> Going through YC’s startup directory reveals that of the 170 startups in the most recent summer batch 154 are AI startups. The author calculates this by searching for the term "AI" in the name and description of each startup's YC page. But presence of the term "AI" doesn't make a startup an "AI startup," so to speak. For example, I picked one startup at random, Topological, which is "developing physics-based founda…

The perverse incentive is that if you mention the word AI, you get a multiplier.

we're entering juicero levels of delusion

Re: How the AI bubble ate Y Combinator

#46
post #36

90% (154/170) of the latest HN summer batch are AI startups. I was expecting a lot, but not this much.

"AI startups." Only around 10% of them will succeed at best. If a massive crash happens then it would be 2% at best.

The real AI startups are those who are using AI to make profits on day 0. They will outlive a crash. They don't need Y Combinator.

Re: How the AI bubble ate Y Combinator

#47
post #3

“All the smart kids of the Bay Area want to work on AI,” Operative word here is "kids", and from what I can tell they're not even the smart ones, just the ones who are more geared toward being money and status-obsessed.

Yup. They couldn't devops/mlops their way out of a paper bag if they had to.

you could say the barrier of entry to tech has a new low

Re: How the AI bubble ate Y Combinator

#48

> Going through YC’s startup directory reveals that of the 170 startups in the most recent summer batch 154 are AI startups. The author calculates this by searching for the term "AI" in the name and description of each startup's YC page. But presence of the term "AI" doesn't make a startup an "AI startup," so to speak. For example, I picked one startup at random, Topological, which is "developing physics-based founda…

i disagree. if your product or business model are tied to the use of AI so much that you put AI in your description, then you are an AI company.

Re: How the AI bubble ate Y Combinator

#49
post #35

The one thing that LLMs are good at is prototyping super fast. For accelerators/incubators etc this is a game changer since more ideas can be realized and tested for market fit. Now if the market fit indeed exists then someone needs to rearchitect and rewrite the thing. But wasn’t it always the case? The POC always was a hacked together solution with no real viability to be used as the final product.

LLMs are good at prototyping something that is similar to something that already exists and is open sourced. It may be that there are such projects which can be monetized or need better marketing. Innovative it is not, however.

I don't understand this position.

LLMs are good at prototyping using data across _all_ similar projects that exist.

It is not a 1-1 copy.

Most frontend is a dozen components. Most backend again is a handful of architectures when it comes to DB/business logic, CRUD.

It goes to say that if you can guide the LLM to build something innovative you can think of, it will put those components together in a reasonable way - good enough to start off with.

Re: How the AI bubble ate Y Combinator

#50
post #24
post #8

Bubble or not, AI is eating everything , not just YC. In particular, I've noticed the topic of AI is eating up corporate meetings, turning them into a kind of human slop.

According to The Information (which is hard-paywalled unfortunately) venture capital as a whole is set to run out of money in 18 months if things continue at the current pace. AI companies had better turn profitable sharpish.

How would that even work to be profitable? I don't see a way on how they can suddenly become profitable if I can be honest when the fundamental economics of the thing seems a little broken to me...
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