Fuck AI

Jason Koebler joins the show to chat with Paris and Brian about the looming TikTok ban (that got even less likely after we recorded) and what Mark Zuckerberg is really looking for from the Trump administration. Plus, the new Free the Feeds initiative, John Deere in the FTC’s crosshairs, and more bad AI news.

I was scouring the indie-web earlier, and found a pretty useful list of bots to add to your robots.txt. But, since I'm not convinced that this is enough to keep them away, I also figured out a simple way to at least potentially completely block them from accessing your websites.

Instead of.. you know, just going outside for 5mins.

I was an early beta tester of Google's Bard AI, now known as Gemini. Back then I was excited about a chatbot that could provide concise results to my search engine questions. It was soon apparent that the majority of the answers Bard returned were incorrect by varying degrees. Fast forward a number of years and Gemini results aren't much better. For example, I asked it for the standard tuning for a Puerto Rican Cuatro stringed instrument and the original result gave me the tuning for six strings even though the instrument has ten strings. I had to correct multiple times before it finally acknowledged my answer.

The amount of time and energy being wasted on this trash is infuriating.

cross-posted from: https://reddthat.com/post/32715510

Because the AI has to do the work of translating the image to text before deciding what to do with it

Source (Bluesky)

This AI robot gives a whole new meaning to "uncanny valley." See it in person at CES if you dare.

Recalling that LLMs have no notion of reality and thus no way to map what they're saying to things that are real, you can actually put an LLM to use in destroying itself.

The line of attack that this one helped me do is a "Tlön/Uqbar" style of attack: make up information that is clearly labelled as bullshit (something the bot won't understand) with the LLM's help, spread it around to others who use the same LLM to rewrite, summarize, etc. the information (keeping the warning that everything past this point is bullshit), and wait for the LLM's training data to get updated with the new information. All the while ask questions about the bullshit data to raise the bullshit's priority in their front-end so there's a greater chance of that bullshit being hallucinated in the answers.

If enough people worked on the same set, we could poison a given LLM's training data (and likely many more since they all suck at the same social teat for their data).

Archive.today link.

More dystopian crap from Meta.