Path: csiph.com!eternal-september.org!feeder.eternal-september.org!nntp.eternal-september.org!.POSTED!not-for-mail From: Jonathan Lamothe Newsgroups: alt.folklore.computers Subject: Re: BRAXMAN: The Skynet Moment: How Mythos AI Just Changed Cybersecurity Forever - And Why It Should Scare You Date: Sun, 26 Apr 2026 09:45:05 -0400 Organization: A noiseless patient Spider Lines: 32 Message-ID: <878qa9x2ce.fsf@posteo.de> References: <42cc4f98f80826e81c00b98c80d0890b4ac9@anonymous.invalid> <20260414.165206.b0a99637@dirge.harmsk.com> <20260414145204.00002165@gmail.com> <10rplsd$1cumn$1@paganini.bofh.team> <87ldeazyj0.fsf@posteo.de> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; charset=utf-8 Content-Transfer-Encoding: 8bit Injection-Date: Sun, 26 Apr 2026 13:45:07 +0000 (UTC) Injection-Info: dont-email.me; posting-host="8d0240e7f19907249ef107ea5103cad3"; logging-data="1713379"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX1/z3Ro21G8y7a+oetAZMGWcmxEYmw6g26E=" User-Agent: Gnus/5.13 (Gnus v5.13) Emacs/28.2 (gnu/linux) Cancel-Lock: sha1:j2ky2aQXKfPEONz1RupRUfg98EM= sha1:OhFqcOLt2mn04pejWPHm28h0tog= Xref: csiph.com alt.folklore.computers:234750 The True Melissa writes: > Verily, in article <87ldeazyj0.fsf@posteo.de>, did jonathan@jlamothe.net > deliver unto us this message: >> Anthk writes: >> >> > [quoted text muted] >> > >> > Even the worst compiler/interpreter from https://t3x.org >> > it's far more useful than any LLM *over time* because >> > you can be sure the output will be 100% the same no >> > matter what you are trying to implement. >> >> Also, compilers don't "hallucinate". This is not a property of LLMs >> that anyone has any idea how to correct. >> > > The problem is that it's always "hallucinating." It has no idea what > it's actually saying, at least at this point. It's a tribute to math and > ingenuity that the result usually makes sense and is often even > accurate. Yeah, that's why I wrote "hallucinate" in quotes. LLMs are nothing more than a massive pile of linear algebra tuned to approximate something statistically resembling a plausible response to annarbitrary input. It's an impressive parlour trick, but a trick none the less. -- Regards, Jonathan Lamothe https://jlamothe.net - PGP: 9CF2CE03EBF08E8C8B66C3660198463E3CF3FFD1 I � Unicode