Which is closest to your view?
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@ZachWeinersmith If we mean "AI" in the sense of the dominant discourse, A1. If we mean AI in the historical sense, C2 or C3.
Depends on what you mean by “AI”.
Assuming we’re talking about generative “AI” like LLMs and diffusion models, A2.
…with a caveat that few of the “good” use cases, if any, are really all that good, and most will likely get rapidly less good as major “AI” companies start charging closer to true costs for the services.
@ZachWeinersmith I bet you'd get very different answers if you asked about "works in my area of expertise" rather than "works" generally
@ZachWeinersmith Multiclassing all As and all Bs, somehow. #lang_en
@ZachWeinersmith depends on what you mean by AI:
If it's what the tech industry is trying to sell - A1.
If it's the specific technology behind what they're trying to sell - A2.
If it's machine learning in general, including LLMs (just not at the scale of the current models), then C3.
@ZachWeinersmith A mix of A1 & A2.
@ZachWeinersmith LLMs? Firmly in the A1 category. The "stochastic" part is what makes them seem like AI, but it's also what makes them a fraud. Randomness is what fools people and is also likely a big contributer to their worst fabrications.
Also they are practically weapons-grade tools to make code harder to maintain because they fill it with random but convincing nonsense that does nothing, but seems to be functional.
@ZachWeinersmith GenAI especially LLMs: A1 (and "etc" is doing a lot of work....)
@ZachWeinersmith A2 but with moments of A1
@ZachWeinersmith A2 for LLMs. summarization for non critical info can pretty useful, but not worth setting the world on fire for.
other kinds of AI can have impressive performance (image recognition, for one), although of course uses can be ethical or unethical.
