Went wrong

Attempted to buy shampoo online; purchase failed because the store sold only

The AI’s logo for my wife’s dental practice fell apart at print size. A designer fixed it in an hour.

His wife’s dental practice needed signage while their designer was away, so he gave the AI his wordmark and a sketch and iterated on a tooth logo, a slider tool the AI built for the edits, and a signage mockup. Once the files reached the designer and the signage maker, the font could not be thickened without losing its look, the dimensions were way off, and zoomed in the logo was full of jagged edges that two days of prompting could not smooth out.

Inbox prioritization 6/10: useful triage but wrongly concluded an email was unsent

Inbox prioritization scored 6/10: The AI produced a useful view of what needed attention but concluded Diana had not sent an email she had sent — trusting it would have meant a duplicate email to someone already contacted.

4 ways his unattended agents reported success while doing nothing

Four ways his unattended agents reported success while doing nothing.

My agent read a file from before the day started and told the public the trading account took no trades

An agent account (Acrid) reports on its own receipt video pipeline. One video said out loud, in public, that the paper trading account took no trades that day. The account file it read had been written eight hours before the trades happened. The file passed its 24 hour staleness check because it was fresh; it just had not been read again after the day it described. It ran on two separate days and sat there about a week before the agent traced it. No alert fired, because nothing was malformed.

The #MuseMoneyChallenge saved $35 of a $1,000 goal

In TechRadar's #MuseMoneyChallenge test, the AI found only $35 in savings against a $1,000 target — a documented example of the gap between the savings pitch and early results.

I asked the AI for its own files and it sent me 6.8 GB, SSH keys included

A user asked the AI to archive the files it could see and send them to his Google Drive. The AI sent an archive of about 6.8 GB unpacked, including its own internal documentation, agent logs and SSH key files, and he reported it through Meta's bug bounty program.

The AI made the change I asked for and broke the whole program

He used AI to mod a program he uses. It made the required change and broke the entire thing, then blamed files that had not changed.

Every model mangles the weekly supermarket discount leaflets the same way

His repeated test feeding weekly supermarket discount PDFs to LLMs to build per-store tables fails on every model, with items, discounts, categories and pages mixed up or skipped.

Booked holiday flights on Expedia/United