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serious_angel 3 hours ago

What 's worth to mention is that no sorrowful effortless awful LLM/"AI" use is seen to be used, from the first glance, thankfully...

- https://github.com/MikeLuu99/searxng-rust/graphs/contributor... (as of 2026-08-03)

Though without actually checking out the source code, I believe it initially suggests respect, trust, and heartfelt gratitude towards the author, their experience, and the attitude the author bases on their miracle to be inscribed in the infinite history we all participate in...

Thank you, dear MikeLuu99, for you actually developing, being an actual developer, and the art... you do...

I wish you safety, prosperity, stability... and to your project to be acknowledged, receive enough attention, and to successfully set itself as a miracle to cherish...

verdverm 2 hours ago | parent [-]

I'm not sure how much we can trust software that hasn't been security audited by Ai going forward. Humans are not that good at writing code, we are going to need help that relentlessly looks for issues. We should certainly avoid being religious about such matters, it's engineering afterall.

serious_angel an hour ago | parent [-]

Thank you. Good point, but I did not mention anything about "auditing" but: "developing", "accountability", "art", and "mind".

There's no "religion" nor "subjectivity" here, and I have no issues with any developer who uses LLM for reviewing and auditing if they have no time or don't know anyone nor participate in Communities who will support a project in the subjects required.

If you still develop with your mind, accoutnability, creativity, and effort towards actually learning, getting valuable experience, and always prioritize a human, art, and effort, you should better know when use an LLM and when not, considering an undefined magnitude of marvelous knowledge, people, and experience you will definitely miss meanwhile, possibly remembering nothing and have no idea what you're doing at all alongside the non-accountable and prone to nonsense algorithm as LLM.

For example, if you do not consider the meat-ground miracles and artworks inside a yet another "free"/sold LLM dataset of now defaced/unknown artists, developers, engineers mentioned, people (like you and me), then if you prompt for a case to audit, require all sources to the evidence/suggestions found, carefully read the output, and manually approach it making notes to learn from and base your future on, it still may be considered an accountable development process.