I apologise for not stating the obvious, but when most people are talking about AI (as was I) they’re referring to LLM’s and generative content that boomed around 2022-2023.
Your citations 2-4 are focused on AI pre-2023, using data over decades. We’ve been using machine learning for ages, those were fine, as are any AI models focused on one task. There might even be math oriented models, but as I understand, Anthropic and OpenAI have been trying to force these proofs via LLMs.
Your citation 1 talks about productivity going up, but at a cursory glance, it doesn’t seem to comment about OpenAI and others subsidizing a lot of the cost.
I apologise for not stating the obvious, but when most people are talking about AI (as was I) they’re referring to LLM’s and generative content that boomed around 2022-2023.
Your citations 2-4 are focused on AI pre-2023, using data over decades. We’ve been using machine learning for ages, those were fine, as are any AI models focused on one task. There might even be math oriented models, but as I understand, Anthropic and OpenAI have been trying to force these proofs via LLMs.
Your citation 1 talks about productivity going up, but at a cursory glance, it doesn’t seem to comment about OpenAI and others subsidizing a lot of the cost.