Google gets around 9 billion searches per day. Human fact checking google search quick responses would be an impossible. If each fact check takes 30 seconds, you would need close to 10 million people working full time just to fact check that.
also I’m pretty sure Google could hire 10 million people
Assuming minimum wage at full time, that is 36 billion a year. Google extracts 20 billion in surplus labor per year, so no, Google could not 10 million people.
Are you also suggesting it’s impossible for specific times that it really matters, such as medical information?
Maybe having Rube Goldbergian machines that burn the forests and dry the lakes while providing dangerously nonsensical answers is a bad idea in the first place.
Are you also suggesting it’s impossible for specific times that it really matters, such as medical information?
Firstly, how do you filter for medical information in a way that works 100% of the time. You are going to miss a lot of medical questions because NLI has countless edge cases. Secondly, you need to make sure your fact checkers are accurate, which is very hard to do. Lastly, you are still getting millions and millions of medical questions per day and you would need tens of thousands of medical fact checkers that need to be perfectly accurate. Having fact checkers will lull people into a false sense of security, which will be very bad when they inevitably get things wrong.
Firstly, how do you filter for medical information in a way that works 100% of the time
That is a good question, and it goes double for what you’re apparently running interference for. How exactly does a sheer volume of bullshit justify bullshit being generated by LLMs in medical fields?
You are going to miss a lot of medical questions
Yes, and the magic of LLMs means those medical questions are going to be missed a lot more often and faster than ever before.
Having fact checkers will lull people into a false sense of security, which will be very bad when they inevitably get things wrong.
That’s an amazing take: the errors aren’t as bad as attempts to mitigate the flood of errors from the planet-burning bullshit machines.
If you see a note saying “This was confirmed to be correct by our well-trained human fact checkers” and one saying “[Gemini] can make mistakes. Check important info.”, you are more likely to believe the first than the second. The solution here is to look at actual articles with credited authors, not to have an army of people reviewing every single medical query.
I’m still not seeing a safe or even meaningful use case for the treat printers here, especially not for the additional electricity and waste carbon costs. Were medical data queries impossible before LLMs? No, they were not.
LLM usage here doesn’t help, that’s true. But medical queries weren’t good before LLM’s either, just because it’s an incredibly complex field with many edge cases. There is a reason self diagnosis is dangerous and it isn’t because of technology.technology.
The rest of what you were saying seems kind of like a pointless derail because you were defending something that’s already indefensibly bad for its supposed use case here.
Google gets around 9 billion searches per day. Human fact checking google search quick responses would be an impossible. If each fact check takes 30 seconds, you would need close to 10 million people working full time just to fact check that.
Just let them call in for answers with real people instead. Than it takes more effort and less people will do it when it’s not important
Edit: also I’m pretty sure Google could hire 10 million people
Assuming minimum wage at full time, that is 36 billion a year. Google extracts 20 billion in surplus labor per year, so no, Google could not 10 million people.
Are you also suggesting it’s impossible for specific times that it really matters, such as medical information?
Maybe having Rube Goldbergian machines that burn the forests and dry the lakes while providing dangerously nonsensical answers is a bad idea in the first place.
Firstly, how do you filter for medical information in a way that works 100% of the time. You are going to miss a lot of medical questions because NLI has countless edge cases. Secondly, you need to make sure your fact checkers are accurate, which is very hard to do. Lastly, you are still getting millions and millions of medical questions per day and you would need tens of thousands of medical fact checkers that need to be perfectly accurate. Having fact checkers will lull people into a false sense of security, which will be very bad when they inevitably get things wrong.
That is a good question, and it goes double for what you’re apparently running interference for. How exactly does a sheer volume of bullshit justify bullshit being generated by LLMs in medical fields?
Yes, and the magic of LLMs means those medical questions are going to be missed a lot more often and faster than ever before.
That’s an amazing take: the errors aren’t as bad as attempts to mitigate the flood of errors from the planet-burning bullshit machines.
If you see a note saying “This was confirmed to be correct by our well-trained human fact checkers” and one saying “[Gemini] can make mistakes. Check important info.”, you are more likely to believe the first than the second. The solution here is to look at actual articles with credited authors, not to have an army of people reviewing every single medical query.
I’m still not seeing a safe or even meaningful use case for the treat printers here, especially not for the additional electricity and waste carbon costs. Were medical data queries impossible before LLMs? No, they were not.
LLM usage here doesn’t help, that’s true. But medical queries weren’t good before LLM’s either, just because it’s an incredibly complex field with many edge cases. There is a reason self diagnosis is dangerous and it isn’t because of technology.technology.
Yes, I’m glad we can agree on that.
The rest of what you were saying seems kind of like a pointless derail because you were defending something that’s already indefensibly bad for its supposed use case here.