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It’s definitely nowhere near capable of doing that.
A buffer overflow in the XNU kernel
11–20 of 40 posts
Re: A buffer overflow in the XNU kernel
#12Re: A buffer overflow in the XNU kernel
#13Earlier quoted context omitted.
It’s definitely nowhere near capable of doing that.
GPT-5, maybe not. But somebody somewhere is building something that can do that. And if they can't do it _now_ they have a plan that tells them what's missing. TLDR; it's coming, soon.
If they could use that structural training to answer queries like "Is there any code path where some_dangerous_func() is called without it's return value being checked"...
Re: A buffer overflow in the XNU kernel
#14Re: A buffer overflow in the XNU kernel
#15If you're still running the affected kernel, what are the possible consequences? Also, this has been public for months: - February 17, 2024: I posted the hash of TURPENTINE.c to X on Feb 17, 2024. - May 13, 2024: macOS Sonoma 14.5 (23F79) shipped with xnu-10063.121.3, the first public release containing a fix.
Re: A buffer overflow in the XNU kernel
#16Earlier quoted context omitted.
It’s definitely nowhere near capable of doing that.
GPT-5, maybe not. But somebody somewhere is building something that can do that. And if they can't do it _now_ they have a plan that tells them what's missing. TLDR; it's coming, soon.
Re: A buffer overflow in the XNU kernel
#17[flagged]
Re: A buffer overflow in the XNU kernel
#18Earlier quoted context omitted.
GPT-5, maybe not. But somebody somewhere is building something that can do that. And if they can't do it _now_ they have a plan that tells them what's missing. TLDR; it's coming, soon.
and lots of people are spending lots of time and money on AI Coding Assitants... which is more or less the knowledge base you need. If they could use that structural training to answer queries like "Is there any code path where some_dangerous_func() is called without it's return value being checked"...
Re: A buffer overflow in the XNU kernel
#19[flagged]
There is a bigger chance that a toddler smashing a keyboard finds a bug than gpt5. LLMs can't understand intent, so they literally work like `grep` with little to no understanding of the context, so most of the time it will false flag good code. There are already a lot of tools already to find bugs, like fuzzers, but I am sure that LLMs won't be one of them.