LLMs: using statistics to generate reasonable-sounding wrong answers from bad data.
this post was submitted on 01 Aug 2024
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Often the answers are pretty good. But you never know if you got a good answer or a bad answer.
I think AI has mostly been about luring investors into pumping up share prices rather than offering something of genuine value to consumers.
Some people are gonna lose a lot of other people's money over it.
Yes, I'm getting some serious dot-com bubble vibes from the whole AI thing. But the dot-com boom produced Amazon, and every company is basically going all-in in the hope they are the new Amazon while in the end most will end up like pets.com but it's a risk they're willing to take.
Definitely. Many companies have implemented AI without thinking with 3 brain cells.
Great and useful implementation of AI exists, but it's like 1/100 right now in products.
My old company before they laid me off laid off our entire HR and Comms teams in exchange for ChatGPT Enterprise.
“We can just have an AI chatbot for HR and pay inquiries and ask Dall-e to create icons and other content”.
A friend who still works there told me they’re hiring a bunch of “prompt engineers” to improve the quality of the AI outputs haha
That's an even worse 'use case' than I could imagine.
HR should be one of the most protected fields against AI, because you actually need a human resource.
And "prompt engineer" is so stupid. The "job" is only necessary because the AI doesn't understand what you want to do well enough. The only productive guy you could hire would be a programmer or something, that could actually tinker with the AI.
No shit, because we all see that AI is just technospeak for “harvest all your info”.
As I mentioned in another post, about the same topic:
Slapping the words “artificial intelligence” onto your product makes you look like those shady used cars salesmen: in the best hypothesis it’s misleading, in the worst it’s actually true but poorly done.
Market shows that investors are actively turned on by products that use AI
Market shows that the market buys into hype, not value.