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Add "fucking" to your Google searches to neutralize AI summaries

(gizmodo.com)
788 points jsheard | 1 comments | 31 Jan 25 21:20 UTC | HN request time: 0.235s | source
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autoexec ◴[31 Jan 25 23:08 UTC] No.42893484[source]▶
Every time some product or service introduces AI (or more accurately shoves it down our throats) people start looking for a way to get rid of it.

It's so strange how much money and time companies are pouring into "features" that the public continues to reject at every opportunity.

At this point I'm convinced that the endless AI hype and all the investment is purely due to hopes that it will soon put vast numbers of employees out of work and allow companies to use the massive amounts of data they've collected about us against us more effectively. All the AI being shoehorned into products and services now are mostly to test, improve, and advertise for the AI being used, not to provide any value for users who'd rather have nothing to do with it.

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xivzgrev ◴[31 Jan 25 23:41 UTC] No.42893818[source]▶
There will be a crash as with any hype cycle

But this is normal. A new thing is discovered, the market runs lots of tests to discover where it works / doesn’t, there’s a crash, valid use cases are found / scaled and the market matures.

Y’all surely lived thru the mobile app hype cycle, where every startup was “uber for x”.

The amount of money being spent today pales in comparison to the long term money on even one use case that scales. It’s a good bet if you are a VC.

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ryandrake ◴[31 Jan 25 23:50 UTC] No.42893898[source]▶
It's a weird cycle though where the order of everything is messed up.

The normal tech innovation model is: 1. User problem identified, 2. Technology advancement achieved, 3. Application built to solve problem

With AI, it's turned into: 1. Technology advancement achieved, 2. Applications haphazardly being built to do anything with Technology, 3. Frantic search for users who might want to use applications.

I don't know how the industry thinks they're going to make any money out of the new model.

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1. cornel_io ◴[01 Feb 25 07:47 UTC] No.42896650[source]▶
Another view is that the Internet exactly matched this model, and that it's much closer to the norm than not: the Internet became available to normal people in the mid-to-late 90s, depending on where you were, but all that was on the web was dumb personal websites (1). In the late 90s bubble, startups seemed pretty crazy, slapping "...but on the Internet" onto basically any idea and raising money off of it (2), basically what's happening with "...but with AI" today. Most failed to find a market because too few people were using the Internet for everything and the frantic search for users failed (3).

But just as the conservative old-school business people were laughing and patting themselves on the back post-bubble over how stupid all the dotcoms were for thinking they could monetize eyeballs, Google emerges, and 20 years later tech companies drive the stock market rather than following it. Don't dismiss a technology just because the birthing spasms look ugly, it takes some time for markets to develop and for products to settle into niches. At the start a lot of that is due to people not being comfortable, tech sucking, and the market shifting too quickly to precisely target, but that can all change pretty fast.