Raw LLM Responses

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As a researcher I find the direction that tech companies took ML so frustrating. I’m not the only one. I have a friend who has been working jn ML industrial research for years. She actually suggested use of LLMs at work before chatGBT took off. And she’s considering going back to school because she hates the direction it’s going. ML is super useful in many data analysis applications. You can can make ML environmentally friendly. You can make ML without stealing copyrighted work. You can increase accuracy. All of this can be done by narrowing scope. Not only have they gone straight past all kinds of morals but they don’t properly validate the outputs for accuracy and bias… And the whole fact they are called “AI” is entirely misleading . And now the whole “Agentic” AI is even more bullshit. It doesn’t have intelligence. It literally takes data, and then feeds it through a bunch of mathematical transformations with weights. That’s all. It’s closer to a series expansion than it is to intelligence. That is also another reason why “this is how human learns” is a terrible argument.
youtube 2025-08-02T09:2…
Coding Result
DimensionValue
Responsibilitycompany
Reasoningmixed
Policyregulate
Emotionunclear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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