You know how Google’s new feature called AI Overviews is prone to spitting out wildly incorrect answers to search queries? In one instance, AI Overviews told a user to use glue on pizza to make sure the cheese won’t slide off (pssst…please don’t do this.)
Well, according to an interview at The Vergewith Google CEO Sundar Pichai published earlier this week, just before criticism of the outputs really took off, these “hallucinations” are an “inherent feature” of AI large language models (LLM), which is what drives AI Overviews, and this feature “is still an unsolved problem.”
and our parents told us Wikipedia couldn’t be trusted…
Conservapedia to the rescue.
Since when has feeding us misinformation been a problem for capitalist parasites like Pichai?
Misinformation is literally the first line of defense for them.
But this is not misinformation, it is uncontrolled nonsense. It directly devalues their offering of being able to provide you with an accurate answer to something you look for. And if their overall offering becomes less valuable, so does their ability to steer you using their results.
So while the incorrect nature is not a problem in itself for them, (as you see from his answer)… the degradation of their ability to influence results is.
But this is not misinformation, it is uncontrolled nonsense.
The strategy is to get you to keep feeding Google new prompts in order to feed you more adds.
The AI response is just a gimmick. It gives Google something to tell their investors, when they get asked “What are you doing with AI right now? We hear that’s big.”
But the real money is getting unique user interactions for the purpose of serving up more ad content. In that model, bad answers are actually better than no answers, because they force the end use to keep refining the query and searching through the site backlog.
I don’t believe they will retain user interactions if the reason for the user interactions dissapears. The value of Google is they provide accurate search results.
I can understand some users just want to be spoonfed an answer. But that’s not what most people expect from a search engine.
I want google to use actual AI to filter out all the nonsense sites that turn a Reddit post into an article of 500 words using an LLM without any actual value. That should be googles proposition.
The value of Google is they provide accurate search results.
They offer the most accurate results of search engines you’re familiar with. But in a shrinking field with degrading quality, that’s a low bar and sinking quick.
I want google to use actual AI to filter out all the nonsense sites
So did the last head of Google search, until the new CEO fired him.
Nothing is going to change until people die because of this shit.
I’ve been around for a while and shit has changed significantly under a relatively long lived set of dudes.
They keep saying it’s impossible, when the truth is it’s just expensive.
That’s why they wont do it.
You could only train AI with good sources (scientific literature, not social media) and then pay experts to talk with the AI for long periods of time, giving feedback directly to the AI.
Essentially, if you want a smart AI you need to send it to college, not drop it off at the mall unsupervised for 22 years and hope for the best when you pick it back up.
The truth is, this is the perfect type of a comment that makes an LLM hallucinate. Sounds right, very confident, but completely full of bullshit. You can’t just throw money on every problem and get it solved fast. This is an inheret flaw that can only be solved by something else than a LLM and prompt voodoo.
They will always spout nonsense. No way around it, for now. A probabilistic neural network has zero, will always have zero, and cannot have anything but zero concept of fact - only stastisically probable result for a given prompt.
It’s a politician.
They will always
for now.
I let you in on a secret: scientific literature has its fair share of bullshit too. The issue is, it is much harder to figure out its bullshit. Unless its the most blatant horseshit you’ve scientifically ever seen. So while it absolutely makes sense to say, let’s just train these on good sources, there is no source that is just that. Of course it is still better to do it like that than as they do it now.
The issue is, it is much harder to figure out its bullshit.
Google AI suggested you put glue on your pizza because a troll said it on Reddit once…
Not all scientific literature is perfect. Which is one of the many factors that will stay make my plan expensive and time consuming.
You can’t throw a toddler in a library and expect them to come out knowing everything in all the books.
AI needs that guided teaching too.
Google AI suggested you put glue on your pizza because a troll said it on Reddit once…
Genuine question: do you know that’s what happened? This type of implementation can suggest things like this without it having to be in the training data in that format.
Genuine question: do you know that’s what happened?
Yes
