Live data from Hacker News

Comparing Google and ChatGPT

twitter.com

141–150 of 280 posts

Re: Comparing Google and ChatGPT

#141

It's great, until people realize GPT-3 will generate answers that are demonstrably wrong. (And to make matters worse, can't show/link the source of the incorrect information!)

That's fine and all, but do you think GPT-3 will stop right here? That there won't be further improvements to the model?

Do you think the results will be the same in 2030?

Have to see where the product is going, not where it is right now.

Re: Comparing Google and ChatGPT

#143

Earlier quoted context omitted.

The point is that they get better and they don't need to be perfect.

Nobody's shown a way yet to teach a computer how to tell bullshit from facts and filter out the bullshit in it's regurgitation/hallucination text creation stuff. So until that happens, all you've done is let people put bullshit-spewing humans in more places. People already know not to necessarily trust humans, now they'll (re)learn that about computer generated text. (It's actually probably not clear to everyone what…

> Nobody's shown a way yet to teach a computer how to tell bullshit from facts and filter out the bullshit in it's regurgitation/hallucination text creation stuff.

And yet they keep improving at every iteration. Also, keep in mind that this objection will exist even if these AI get near omniscience. People disagree with facts all the time, usually for political motives. Therefore your type of criticism won't ever be settled.

Re: Comparing Google and ChatGPT

#144
post #135

I work at Alphabet and I recently went to an internal tech talk about deploying large language models like this at Google. As a disclaimer I'll first note that this is not my area of expertise, I just attended the tech talk because it sounded interesting. Large language models like GPT are one of the biggest areas of active ML research at Google, and there's a ton of pretty obvious applications for how they can be us…

The idea that LLMs will kill Google seems to me completely absurd. Name any other organization as well-positioned to create and exploit LLMs.

Re: Comparing Google and ChatGPT

#147

Quoted post unavailable.

Wow, how wrong can you be? And by you I mean you, the commenter. https://en.wikipedia.org/wiki/Intersex

“ While there are reports of individuals that seemed to have the potential to produce both types of gamete,[173] in more recent years the term hermaphrodite as applied to humans has fallen out of favor, since female and male reproductive functions have not been observed together in the same individual.

Re: Comparing Google and ChatGPT

#148
post #105

Earlier quoted context omitted.

Quoted post unavailable.

I mean it's not like it's dangerous on its own, but if you're like "Hey GPT how do I put out a grease fire?" and it replies "Pour water on it" and you believe it then you're in for a bad time. So I mean I guess you're technically right, it's not dangerous so long as you have 0% confidence in anything it says and consider it entertainment. But what would-be scrappy Google competitor is gonna do that? The thing that ma…

I don't see the danger you are afraid of. The same artifacts you are proposing (skepticism, verification) should already be put in place with any pubic expert.

Re: Comparing Google and ChatGPT

#149

Quoted post unavailable.

What is "gender ideology"? Also, biological sex in humans is actually kinda complicated and doesn't really follow your definition. See below:

* If males produce sperm and females produce ova, does this mean infertile people are neither sex?

* What are intersex people?

* Since females only produce ova before they are born, do only female fetuses exist, and birthed people with ova are not female anymore?

* What are people who are androgen insensitive?

* If biological sex is defined this way, why do medical practitioners not test for the presence of sperm or ova at birth?

Re: Comparing Google and ChatGPT

#150
post #135

I work at Alphabet and I recently went to an internal tech talk about deploying large language models like this at Google. As a disclaimer I'll first note that this is not my area of expertise, I just attended the tech talk because it sounded interesting. Large language models like GPT are one of the biggest areas of active ML research at Google, and there's a ton of pretty obvious applications for how they can be us…

The problem for Google isn't just technical, it's organizational. The entire organization and all its products are built around ads. If a new product comes along that drastically reduces the number of pages a user views, what happens to the ad revenue? Right now, every click, every query is an impression. But if there's an all-knowing AI answering all my questions accurately, what incentive do I, as a user, have to s…

They could still serve AdSense-style ads inside the generated content.
Post reply on HN