I once had a PR. I told the dev that "LLM is ok but you own the code"
He told me "I spent n days to architect the solution"
He shows me claude generated system design .. and then i say ok, I went to review the code. 1hr later i asked why did you repeat the code all over at the end. Dude replies "junk the entire PR it's AI generated"
Has anyone who's familiar with compiler source code tried to compare it to other compilers? Given that LLMs have been trained on data sets that include the source code for numerous C compilers, is this just (say) pcc extruded in Rust form?
I wanted to do something complex in google sheets. We had just gotten Gemini in gsheet. I assumed they'd have used some fancy mcp and enabled us to do a lot of things but all gemini in gsheet could do was summarize
It sounds like that's still a step up from Copilot.
I know Gemini has more advanced features in Docs and they rolled something out for Sheets. I would bet GWorkspace keeps gaining ground on the functionality battle.
Not who you asked, but I don't like the effect they have on people. People develop dependence on them at the cost of their own skills. I have two problems with that. A lot of their outputs are factually incorrect, but confidently stated. They project an air of trustworthiness seemingly more effectively than a used care salesman. My other problem is farther-looking. Once everyone is sufficiently hooked, and the enshittification begins, whoever is pulling the strings on these models will be able to silently direct public sentiment from under cover. People are increasingly outsourcing their own decisions to these machines.
exactly. People are blindly dumping everything into LLMs. A few years into the future, will we have Sr or Staff enggs who can fix things themselves? What happens when claude has an outage and there is a prod issue?!
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