this post was submitted on 24 Jun 2023
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There are lots of articles about bad use cases of ChatGPT that Google already provided for decades.

Want to get bad medical advice for the weird pain in your belly? Google can tell you it's cancer, no problem.

Do you want to know how to make drugs without a lab? Google even gives you links to stores where you can buy the materials for it.

Want some racism/misogyny/other evil content? Google is your ever helpful friend and garbage dump.

What's the difference apart from ChatGPT's inability to link to existing sources?

Edit: Just to clear things up. This post is specifically not about the new use cases that come from AI. Sure, Google cannot make semi-non-functional mini programs automatically, and Google will not write a fake paper in whole for me. I am specifically talking about the "This will change the world" articles, that mirror stuff that Google can do exactly like ChatGPT can.

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[–] [email protected] 1 points 1 year ago* (last edited 1 year ago)

That might be good for SEO, but for a buyer this is utter garbage.

The content is mostly not true at all. A Pentium D might have been optimized for speed and a true powerhouse at launch, but launch was 2005. Even the cheapest CPU introduced in 2022 (Intel Celeron G6900) has >6x the performance of the Pentium D.

And even when the Pentium D was released, its massive power consumption of 95W-130W TDP was criticized, so all the talk about balancing power consumption would have been wrong even in 2005.

What I'd like to see as a buyer would be the following product description:

  • Intel Pentium D 840, 3.4 GHz
  • Introduction date: May 2005
  • Dual core
  • CPU Mark score: 736
  • TDP: 130W
  • Compatible with Windows XP - Windows 10

Instead, ChatGPT waffles on for two full, dense paragraphs of meaningless marketing nonsense.

Speaking from a 2023 perspective, there is actually not a single statement in these two paragraphs that is true. Not even the product name is correct (for a marketing text it should include the name Intel and the correct model number, as there were 15 variants which had ~35% of performance difference between the cheapest and the best.).

most buyers don’t read it

Because it's hard to find any valuable or even correct information on these product pages...