No one really wants a good dishwasher review. And they'll never get one, either, because a review is too easy to fake.

What we all really want is a good _dishwasher_, and word of mouth review is the tried and true method that people use to approximately measure how good a dishwasher is.

“What's a good dishwasher? I dunno… 'Hey Bob, how's your dishwasher treating you?'”

I think we'll either fall back on real word of mouth (which is *incredibly* difficult to fake, unless you can clone my friends) or we'll solve the problem at a deeper level by mashing up a service that queries the Maytag repair ticket database

It's a problem that really is begging us to cut out the middleman – it just needs a few companies who decide that they are going to be transparent and honest as part of their customer service strategy.

It just doesn't make sense to refer to humans as 'the most advanced AI'. That defies the very meaning of the term.

You're right that it's a game: this problem is entirely social, and because of that, I don't think it will end, however smart the tools get. You can think of it as the problem of building a model of what a 'good' dishwasher result is.

The modeling tools for forgery get smart just as quickly as the tools for detection – they're the same problems! If the answer to that is, “We should just let Google have all the good tools”… well, that's not going to happen.

Where this is going, of course, is that eventually fake dishwasher review sites will be composed of coherent English dishwasher reviews that are indistinguishable from real reviews in every possible way. Except that they're fake.

The problem is social; it's that there's someone out there who is willing to lie and deceive us to make a buck.

But that's a *really* hard problem to solve, so I guess we're left with technical band-aids that will, eventually, peel off.

No one really wants a good dishwasher review. And they'll never get one, either, because a review is too easy to fake.

What we all really want is a good _dishwasher_, and word of mouth review is the tried and true method that people use to approximately measure how good a dishwasher is.

“What's a good dishwasher? I dunno… 'Hey Bob, how's your dishwasher treating you?'”

I think we'll either fall back on real word of mouth (which is *incredibly* difficult to fake, unless you can clone my friends) or we'll solve the problem at a deeper level by mashing up a service that queries the Maytag repair ticket database

It's a problem that really is begging us to cut out the middleman – it just needs a few companies who decide that they are going to be transparent and honest as part of their customer service strategy.

It just doesn't make sense to refer to humans as 'the most advanced AI'. That defies the very meaning of the term.

You're right that it's a game: this problem is entirely social, and because of that, I don't think it will end, however smart the tools get. You can think of it as the problem of building a model of what a 'good' dishwasher result is.

The modeling tools for forgery get smart just as quickly as the tools for detection – they're the same problems! If the answer to that is, “We should just let Google have all the good tools”… well, that's not going to happen.

Where this is going, of course, is that eventually fake dishwasher review sites will be composed of coherent English dishwasher reviews that are indistinguishable from real reviews in every possible way. Except that they're fake.

The problem is social; it's that there's someone out there who is willing to lie and deceive us to make a buck.

But that's a *really* hard problem to solve, so I guess we're left with technical band-aids that will, eventually, peel off.

Big hint: most of the blog posts are written by “admin”.

He showed MSFT and Google search results and curated search results in a blind ABC testing. And all investors said, C (curated) was best.

Sure, this can be done only with the most popular searches, 3-5 million!? You can't scale curation like stacking up CPUs.

And on a side note, reading @jonathanmendez mentioning Amazon, yes, Amazon is looking at its user data too, thus coming up with recommendations.