Raw LLM Responses

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This understanding of gpt-5 being way more powerful than gpt-3 and 4 is not correct tho. There's nothing to back this up, GPT-4 is already spending millions of dollars per day in computer power and it's able to deal with 32k tokens, this still very low amount and even if this is bumped to the house of 100k/1000k tokens in gpt5 this doesn't mean that gpt5 will be the next AGI or anything like that. The computer power and cost to be able to handle big contexts using transformers is already very high and rely on the state of art in hardware. All that means that gpt4 still very limited from high perspective. And even if we double/triple their parameters and supported tokens in gpt5 it doesn't mean it will be that much of capacity increase. And the main factor is the cost with infrastructure, that means new technologies will need to rise in order create a proper gpt5/gpt6 without spending billions in infra per day.
youtube AI Governance 2023-06-23T18:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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