Quello che un honeypot scritto dall'IA ci ha insegnato sulla fiducia nelle macchine
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Quello che un honeypot scritto dall'IA ci ha insegnato sulla fiducia nelle macchine
Il codice generato dall'IA può introdurre sottili difetti di sicurezza quando i team si fidano eccessivamente dell'output automatizzato. Intruder mostra come un honeypot scritto dall'IA abbia introdotto vulnerabilità nascoste che sono state sfruttate negli attacchi.
Gli ultimi otto messaggi ricevuti dalla Federazione
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@Gina 🤣 🤣 🤣
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e questa è la mia di ieri..
consolazione a fine giornata nebbiosa!
W la falce di luna crescente 🌙
buona serata Marty
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@krisfreedain don't make me block you, Kris 😂
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@Gina this is amazing! Reminds me of here in Oregon. Love it. 😀
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@Rickd6 the energy industry runs Texas state government. So, naturally, the grid is old, poorly maintained, and not weatherized against extreme weather, so it is very sensitive to storms. It is also isolated from the nationwide grid.
A little rain often takes out power in localized areas. My neighborhood has short outages all the time. But a big storm really does a number on the whole system. They didn't build for climate change because that would cut into profits.
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Ghostty has a really well-balanced AI usage policy. It doesn't ban AI tools outright, but it sets clear boundaries to prevent the common problems we're seeing in open source contributions these days.
What stands out is that it's not about being anti-AI. The policy explicitly says the maintainers use AI themselves. The rules are there because too many people treat AI as a magic button that lets them contribute without actually understanding or testing what they're submitting. The requirement that AI-generated PRs must be for accepted issues only, fully tested by humans, and properly disclosed feels like basic respect for maintainers' time.
I'm thinking of adopting something similar for my projects, even though they're not at Ghostty's scale yet. Better to set expectations early.
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