Another one bites the dust

What a blunder, they resisted AI for like 2 years when it was all the buzz, and now when the bubble is about to bust and every user has AI fatigue they decide to finally dip into the fad?

Before it was as if avoiding AI was a conscious design decision, and if there was an AI crash, Apple would be the only survivor left. Now it feels like they weren't in on the meme out of incompetence and are now late to the party.

No one can know what Jobs' stance would be, but I like to think he would be anti-slop

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mark_l_watson an hour ago | parent | next [-]

I agree that many AI businesses will go bust and they deserve it, but the tech is good.

I can recommend my own layered approach, using the lowest capability models that get stuff done:

1. I maximally use local models like gemma4:26b-a4b-it-qat for everything that works with this free option.

2. I like paying for inexpensive APIs for mid-tier models like deepseek v4 flash, gcp-5-mini, gemini-2-flash for things that option 1. fails at. This option is almost free.

3. Pay for more expensive APIs like deepseek v4 pro, gemini 3.5 flash, etc. This option is not too expensive.

4. If all else fails on a class of tasks, then pay for awesomeness of Claude Opus. $$ expensive, I try not to use unless absolutely necessary.

I think developers and companies that just cram everything into Claude Opus are unprofessional.

	▲	TZubiri 16 minutes ago \| parent [-]
		I think you are conflating LLMs with AI. LLMs we all agreed were amazing back in 2023-2024. What's happening now with AI is more of a corporate phenomenon quite removed from the actual tech. Yes LLMs are useful, but replacing customer support with an LLM that gives user accounts away, or calling LLMs on a loop where the bottleneck is your checkbook and calling it AGI, those are phenomenons that are separate from LLMs.

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ralusek 3 hours ago | parent | prev [-]

When people say the AI bubble is about to bust, I don't think anybody means that "the use of AI is going to go away." AI is absurdly useful. I think what people mean is "the valuations of these companies will have to snap to a reality that is actually attached to their market value."

	▲	0x20Fearless 2 hours ago \| parent [-]
		Exactly, small edge models is the future, highly personal experiences, and not these massive models that the cloud providers currently shove down our throats. While massive models are useful, these massive platforms are about to burst out of their promises. All while we’re supper happy with tiny 4b up to 12b models working amazing for all these “omg ai thinks” daily tasks.