Generative Artificial Intelligence

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Welcome to the Generative AI community on Lemmy! This is a place where you can share and discuss anything related to generative AI, which is a kind of technology that can make new things, like pictures, words, or sounds, by learning from existing things. You can post your own creations, ask for feedback, share resources, or just chat with other fans. Whether you are a beginner or an expert, you are welcome here. Please follow the Lemmy etiquette and be respectful to each other. Have fun and enjoy the magic of generative AI!

P.s. Every aspect of this community was created with AI tools, isn't that nifty.

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Fubarberry@sopuli.xyz

How the AI bubble bursts (martinvol.pe)

submitted 6 months ago by Fubarberry@sopuli.xyz to c/gai@sopuli.xyz

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This is a look into how an AI bubble burst might play out. The biggest issue is money, companies like OpenAI and Anthropic are burning money with no good way to turn it profitable. Google can "win" the AI race just by continuing to spend money, and wait for the others to crash and burn.

OpenAIs recent attempts to turn a profit (shopping and sora) are both failing, and they've resulted to trying ads (which they had previously described as a last resort).

Anthropic is capturing the developer market, but some reports say their metered models cost 5x more than what people pay for them. It doesn't matter that they're having market success, if more users just means burning way more money.

If multiple major players crash or have to get bought out, we may see several major datacenters shutdown or underperform, which could have a strong ripple effect on the economy.

Noteworthy, this article doesn't include anything about the US government's involvement in AI. The US considers AI a race to reach AGI before china, and may attempt to prop up a failing AI market to achieve this.

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[–] skibidi@lemmy.world 1 points 6 months ago

The productivity increases are real for office work. Absolutely not for 'generative' tasks - using them to do anything that takes a modicum of thought is a recipe for frustration and burned time - but they make pretty good search engines for unstructured information.

Now, you don't need a whole-ass model for that, a vector database would do just fine, but since everyone rushed to hook the models in to all their repos and internal wikis it is a convenient omni-search tool.

Now was that worth all the bullshit over the last 4 years as the bubble inflated? Not at all. But it is a real use case and has real value.

I even have leaders now pushing everyone to keep their docs up to date and to make sure tables have metadata fields and such so that agents can make best use of the information. This is particularly hilarious to me because they didn't care to make this investment when people would benefit, but doing it now makes my life easier anyway.