Raw LLM Responses

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G there are 2 separate questions: 1) is using AI image generator morally justifiab… ytc_UgyH5A0yw… G I asked a couple of chatbots about this. Iirc, chatgpt didn't care about please … ytc_UgzMgBr-6… G Humans are so worried about AI, yet if they released this robot to roam around i… ytc_UgzjW6zrV… G Your phone and cameras have been enhancing pictures digitally for years, especia… ytc_UgxlT8MKv… G This comment isn't to scare people but if you get scared easily I suggest u skip… ytc_UgxJye1rV… G Let's be real... she's not a robot either... she's a sexbot y'all... C'MONNNNN. … ytc_UgzbpKv3n… G "We've finally achieved AGI! We now have an AI with the intelligence of a human… ytc_UgxpY3IBf… G @Ebus-ob2mq but soap isn't food and isn't edible at all. But what ai creates sur… ytr_Ugylor6bE…
Comment
Current AI models have been trained on all the code available. There is no additional corpus of untapped code. They’ve hoovered up the entirety of GitHub, StackOverflow, and whatever proprietary code bases can be accessed. From here on out improvements will be refinements of the tooling. The underlying models are about as good as they’re going to get. One possibility is that companies like anthropic will attempt to purchase fresh training code from large companies like IBM, Oracle, and so on. And then it could turn out that they’ll compete on who has the best training data. Or perhaps they’ll compete on specialization. “We have the best model for aerospace.” “We have the best model for telecommunications.” But in general, the limiting factor is training data. And we’ve used up all the data that’s easy to get to.
youtube 2025-03-17T19:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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