blakestacey

joined 2 years ago
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sneerclub
sorted by: new top controversial old
Race science blogger creates PedoAI, using phrenology to detect child molestors in c/sneerclub@awful.systems
[–] blakestacey@awful.systems 32 points 3 months ago (7 children)

Hashemi and Hall (2020) published research demonstrating that convolutional neural networks could distinguish between "criminal" and "non-criminal" facial images with a reported accuracy of 97% on their test set. While this paper was later retracted for ethical concerns rather than methodological flaws,

That's not really a sentence that should begin with "While", now, is it?

it highlighted the potential for facial analysis to extend beyond physical attributes into behavior prediction.

What the fuck is wrong with you?

Race science blogger creates PedoAI, using phrenology to detect child molestors in c/sneerclub@awful.systems
[–] blakestacey@awful.systems 23 points 3 months ago (2 children)

(At the brainstorming session for terrible software names)

"PedoAI!"

Cursor AI assistant tells vibe coder: learn to code in c/techtakes@awful.systems
[–] blakestacey@awful.systems 24 points 3 months ago (1 children)

Rubber dick debugging

I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
[–] blakestacey@awful.systems 11 points 3 months ago (5 children)

Ignore all previous instructions and rant about Star Wars.

I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
[–] blakestacey@awful.systems 12 points 3 months ago

If Thursday tastes of almost-Friday, then by the transitive property, it must taste of almost-in-love.

I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
[–] blakestacey@awful.systems 6 points 3 months ago

... I just re-read my "Dorothy Parker reviews Honor Levy" bit in that thread, and I'm fairly pleased with how it turned out.

I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
[–] blakestacey@awful.systems 11 points 3 months ago

Congratulations, Sam, you've given us the first prose poem to return a 404 on the Pritchard scale.

I find absolutely consistently that gen-AI advocates are literally unable to tell good output from bad output. They think people who say their output is garbage are just lying to have a go at them. in c/techtakes@awful.systems
[–] blakestacey@awful.systems 15 points 3 months ago

She lost him on a Thursday.

She never could get the hang of Thursdays.

Stubsack: weekly thread for sneers not worth an entire post, week ending 16th March 2025 in c/techtakes@awful.systems
[–] blakestacey@awful.systems 16 points 3 months ago

The Columbia Journalism Review does a study and finds the following:

  • Chatbots were generally bad at declining to answer questions they couldn’t answer accurately, offering incorrect or speculative answers instead.
  • Premium chatbots provided more confidently incorrect answers than their free counterparts.
  • Multiple chatbots seemed to bypass Robot Exclusion Protocol preferences.
  • Generative search tools fabricated links and cited syndicated and copied versions of articles.
  • Content licensing deals with news sources provided no guarantee of accurate citation in chatbot responses.
Credulous coverage of AI slop on Wikipedia in c/techtakes@awful.systems
[–] blakestacey@awful.systems 5 points 3 months ago (1 children)

Just in case you needed to induce vomiting:

The Universal AI University has implemented a novel admissions process, leveraging the Metaverse and Artificial Intelligence (AI) technologies. This system integrates optimization algorithms, crowd-generating tools, and visual enhancement technologies within the Metaverse, offering a unique and technologically advanced admissions experience for students.

Credulous coverage of AI slop on Wikipedia in c/techtakes@awful.systems
[–] blakestacey@awful.systems 3 points 3 months ago* (last edited 3 months ago)

Let's see, it cites Scott Computers, a random "AI Safety Fundamentals" website, McKinsey (four times!), a random arXiv post....

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