Raw LLM Responses

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The actual intelligence of these systems is a moot point at this point I think, where they currently are will enable a blood bath in the job market, and it's not an intelligence or compute problem anymore it's an interfacing problem Text generator interfacing protocols will get written. Maybe by IEEE or some other regulatory body, where all future cad tools and ides will have a protocol to interface with text generators like LLMs Im an electrical engineer and do fpga based fiberoptic data processing. I've seen how much better gpt has gotten since it first released at that one niche If it could do all the feedback and tweaking itself, generate rtl logic and simulate it, get the the sim results, tweak and repeat. Even where it's at now can wipe a huge number of jobs, its far from a dead end Most of us aren't doing cutting edge research. Putting aside business admin people and jobs like that which again i think are easily automated and focusing on r and d, most of us adapt solutions to new applications I think once interfacing standards are set and given time to cook cad work and pretty much all work on a computer will have the vast majority of the cognitive workload placed on the ai So dead end in terms of super intelligence? Maybe but speaking as an in the trenches engineer it doesn't need anymore breakthroughs to gut the job market Its just a protocol problem, an engineering problem, as soon as something is an engineering problem not a physics problem anymore it's just a matter of time, and that's what interfacing is To the few people not impacted by this, which could very well be me, maybe i started my career early enough. I still feel like we have to be shouting from the rooftops to spread awareness about the automation of the majority of the white collar middle class workload
youtube AI Moral Status 2025-10-30T19:2…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyregulate
Emotionfear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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