Was trying to explain to them that large language model progress will start to slow down because probabilistic networks aren’t good with anything that needs reproducible results, The data requirements are starting to balloon and restricting them reduces their creativity.
They brought up things like folding at home and other neural network models. So I explained to them that was a Markov state model not a generative AI.
Then they brought up Nvidia DLSS. And I do explain that that was also a CNN and Transformer model, not a generative one.
So I guess this is a long way of me saying that I don’t know if a lot of people understand the distinction between generative AI and a neural network with the many flavors that comes in and I think that conflation leads to a lot of the artificial hype AI gets.
Most people don’t know the diference and the AI hype is that prediction engines/Simulated AI equates neural networks.
But if you look at LLM’s from a business and political point of view you might see, like me, that the point of “AI” haven’t been to create artificial intelligence but rather to replace low tier workers and influence impressionable people.
That’s what AI told me so it’s the objective truth.
Was trying to explain to them that large language model progress will start to slow down because probabilistic networks aren’t good with anything that needs reproducible results, The data requirements are starting to balloon and restricting them reduces their creativity.
They brought up things like folding at home and other neural network models. So I explained to them that was a Markov state model not a generative AI.
Then they brought up Nvidia DLSS. And I do explain that that was also a CNN and Transformer model, not a generative one.
So I guess this is a long way of me saying that I don’t know if a lot of people understand the distinction between generative AI and a neural network with the many flavors that comes in and I think that conflation leads to a lot of the artificial hype AI gets.
Most people don’t know the diference and the AI hype is that prediction engines/Simulated AI equates neural networks.
But if you look at LLM’s from a business and political point of view you might see, like me, that the point of “AI” haven’t been to create artificial intelligence but rather to replace low tier workers and influence impressionable people.
That’s what AI told me so it’s the objective truth.