‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict::Analyst firm CCS Insight predicts generative AI will get a “cold shower” in 2024 as concerns over growing costs replace the “hype” surrounding the technology.
‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict::Analyst firm CCS Insight predicts generative AI will get a “cold shower” in 2024 as concerns over growing costs replace the “hype” surrounding the technology.
We’re getting customers that want to use LLMs to query databases and such. And I fully expect that to work well 95% of the time, but not always, while looking like it always works correctly. And then you can tell customers a hundred times that it’s not 100% reliable, they’ll forget.
So, at some point, that LLM will randomly run a complete non-sense query, returning data that’s so wildly wrong that the customers notice. And precisely that is the moment when they’ll realize, holy crap, this thing isn’t always reliable?! It’s been telling us inaccurate information 5% of the usages?! Why did no one inform us?!?!?!
And then we’ll tell them that we did inform them and no, it cannot be fixed. Then the project will get cancelled and everyone lived happily ever after.
Or something. Can’t wait to see it.
Would you trust a fresh out of college intern to do it? That’s been my metric for relying on LLM’s
It might actually help the intern if they use it:
https://www.consultancy.uk/news/35431/chatgpt-most-benefits-below-average-consultants-finds-bcg-pilot
Yup this is the way to think about LLMs, infinite eager interns willing to try anything and never trusting themselves to say “I dont know”