"It's your responsibility to make sure our products aren't nonsense. All we want to do is to make money off you regardless."
this post was submitted on 27 May 2024
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These models are mad libs machines. They just decide on the next word based on input and training. As such, there isn’t a solution to stopping hallucinations.
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What happens when you put a product manager in charge of a software company.
As well as no clue how not to make every product they have shit over time.
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So crazy that humanity has so far allowed the idea of "hallucinations", even just the term, to be normalized and acceptable to any level into a product that's being forced into every layer of our daily existence.
Stop just going with it. Call out hallucinations on their face.
I got a solution, stop being a lil baby and turn off the AI and go on to the next big thing. CRISPR, maybe? Not techbro enough? Make it like Crypto Crispr, only you own this little piece of DNA, and all the corporations that can read the ledger and get your biometrics
The moment a politician's kid drinks bleach because of Google's AI is the moment any regulatory action is taken.
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Looks like Google stopped the AI feature. No more AI suggestions at the top of the page after searching for something.
I'm curious, are these hallucinations very prevalent? I'm outside under US so haven't seen the feature yet. But I have noticed that practically every article references the same glue incident.
So I'm not sure if the hallucinations are happening all the time, or everyone is just jumping on a handful of mistakes the AI made. If the latter, the situation reminds me of how every single accident involving a Tesla was reported on back in the day.
It will confidently report inaccurate information. It's usually not so hilariously wrong, but it's still wrong.
For example, I was talking with someone about what constituents a "fruit" botanically, and I searched "are beans fruit", and it confidently told me that beans are not a fruit, botanically speaking, because they're a legume. It seems to have adapted, but that's a good example of a "small wrong" that's not uncommon at all.