Raw LLM Responses

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G Ai is coming to bring the Mark 2 Man kind Last day s stuff Jesus is coming A Men… ytc_Ugz8p3dY0… G I guess you would need to record yourself in order to beat an AI at art so you h… ytc_UgzpHhdR-… G Bestbuy is rolling out automated warehousing as well. The facilities may be able… ytc_UgyjzVdo8… G When I heard of ai I wanted it to be a tool used to make things better. Like bei… ytc_UgyAYDQDR… G These are the type of questions this individual wants to ask a machine like this… ytc_Ugxot3AgP… G The CEOs who say AI means you don’t have to work anymore are they same men that … ytc_Ugw3g1hFr… G what do you think of artists saying not to give ai art attention, engagement, or… ytc_UgylJuJ56… G If less people use the internet and specifically porn, it's a win for society! A… rdc_ks8snjp
Comment
As a developer who tested Claude/Cline extensively over more than a year, I can say with confidence: Once your project grows beyond ~5,000 lines of code and spans multiple files, Claude loses structural coherence. It starts forgetting context, mismanaging dependencies, repeating errors, and hallucinating logic. Debugging becomes circular. Refactoring? Unreliable. And this isn’t just Claude. No LLM today – including GPT-4, Gemini, Devin – can consistently maintain architectural integrity across a large codebase. There's no persistent memory, no full graph awareness, and no real understanding of software design patterns at scale. The claim that “AI will write 100% of code within a year” is not just wrong – it's deeply misleading. It ignores fundamental limitations of current LLMs: - No true multi-file reasoning - Shallow state tracking - No long-term refactoring memory - No awareness of tech debt or codebase health We’re years away from reliable full-scale AI coding – optimistically 3–5 years, realistically longer.
youtube 2025-07-09T11:2… ♥ 17
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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