Amazon is laying off or has lost truly staggering numbers of experienced staff.
So it might not be AI, although my experience with AI suggests it’s right about 60% of the time and there’s no way I would let it implement it’s own recommendations anywhere near anything that earned me money.
It might just be cheaper, younger, newer staff making mistakes they don’t know how to fix.
https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/
Hair clipper. Paid for itself in two uses. It’s been years.
You seem to think that if something is indirect it isn’t harmful, so being openly racist with your friends is OK as long as you’re not telling the people you’re dehumanizing directly? Sounds like you would think cheating on your wife is OK as long as she didn’t find out.
Personally, I don’t think there is any good or acceptable racial hatred, and pretending that there is is what got the neofascists so much political clout around the world.
Nothing of value was lost.
I can’t think of where “racial hate” could possibly be “just stating an opinion” without also causing harm that is both mental and social.
Dunno. Always avoided electron because everyone said how slow and crash print it is. I very much doubt it, though. Upgrading from tauri v1 to tauri v2 is already non trivial to the extent that I didn’t bother for a new project because I already had bindings and config for v1. I’d be very surprised if they just copied election got the interface for their shiny new, more principled, faster, leaner, less leaky, more secure, “better” web-as-ui thing.
Tauri gives similar functionality but is written in rust, has good security models and is fast.
This graph clearly shows that AI is also shockingly bad at factual accuracy and at telling a news story in such a way that someone who didn’t already know about it to understand the issues and context. I think you’re misrepresenting this graph as being bad about sources, but here’s a better summary of the point you seem to be making:
AI’s summaries don’t match their source data.
So actually, the headline is pretty accurate in calling it misrepresentation.