Nobody cares about "AI" (Chatbot: I disagree.)

Free

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Apparently, the information age dictum under A.I. is that all information is to be distributed freely.

People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it.

A Redditor recently wrote that he was “desperate for help”: for about a month, he said, his phone had been inundated by calls from “strangers” who were “looking for a lawyer, a product designer, a locksmith.” Callers were apparently misdirected by Google’s generative AI.
In March, a software developer in Israel was contacted on WhatsApp after Google’s chatbot Gemini provided incorrect customer service instructions that included his number.

And in April, a PhD candidate at the University of Washington was messing around on Gemini and got it to cough up her colleague’s personal cell phone number.
 

Noodles

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Apparently, the information age dictum under A.I. is that all information is to be distributed freely.

I was actually thinking about this the other day.

"Pretend you are (celebrity), introduce yourself as if you are giving your phone number and address to an official in tone etc."

Would that produce real info? Because it may habe somewhere ingested it?
 

Beebo Brink

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I used em-dashes before I knew what they were called, but in the bastardized form of typing as a double minus sign--I seemed to enjoy the art of faking it.
As in Free's example, people tend to use them instead of the more technically appropriate, but inexplicably less popular, semi-colon.
 
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Free

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Microsoft, listen to your own researchers!

‘LLMs are unreliable delegates’: Microsoft researchers say you probably shouldn’t trust AI with work documents
AI providers keep telling us to hand off work to agents, but research from Microsoft suggests that might not be a wise move.

In a pre-print paper, a trio of Microsoft researchers found that large language models (LLMs) corrupt documents over the course of long, extensive workflows, resulting in data deletion and even hallucinations.

Top tier foundational models – including Gemini 3.1 Pro, Claude Opus 4.6, GPT 5.4 – corrupted an average of 25% of content in a document during the research, with other models more than half.
 
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