Your opening sentence is demonstrably false. GTP-2 was a shitpost generator, while GPT-4 output is hard to distinguish from a genuine human. Dall-E 3 is better than its predecessors at pretty much everything. Yes, generative AI right now is getting better mostly by feeding it more training data and making it bigger. But it keeps getting better and there’s no cutoff in sight.
That you can straight-up comment “AI doesn’t get better” at a tech literate sub and not be called out is honestly staggering.
The difference between gpt-3 and gpt-4 is number of parameters, I.e. processing power. I don’t know what the difference between 2 and 4 is, maybe there were some algorithmic improvements. At this point, I don’t know what algorithmic improvements are going to net efficiencies in the “orders of magnitude” that would be necessary to yield the kind of results to see noticeable improvement in the technology. Like the difference between 3 and 4 is millions of parameters vs billions of parameters. Is a chatgpt 5 going to have trillions of parameters? No.
Tech literate people are apparently just as susceptible to this grift, maybe more susceptible from what little I understand about behavioral economics. You can poke holes in my argument all you want, this isn’t a research paper.
Your opening sentence is demonstrably false. GTP-2 was a shitpost generator, while GPT-4 output is hard to distinguish from a genuine human. Dall-E 3 is better than its predecessors at pretty much everything. Yes, generative AI right now is getting better mostly by feeding it more training data and making it bigger. But it keeps getting better and there’s no cutoff in sight.
That you can straight-up comment “AI doesn’t get better” at a tech literate sub and not be called out is honestly staggering.
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The difference between gpt-3 and gpt-4 is number of parameters, I.e. processing power. I don’t know what the difference between 2 and 4 is, maybe there were some algorithmic improvements. At this point, I don’t know what algorithmic improvements are going to net efficiencies in the “orders of magnitude” that would be necessary to yield the kind of results to see noticeable improvement in the technology. Like the difference between 3 and 4 is millions of parameters vs billions of parameters. Is a chatgpt 5 going to have trillions of parameters? No.
Tech literate people are apparently just as susceptible to this grift, maybe more susceptible from what little I understand about behavioral economics. You can poke holes in my argument all you want, this isn’t a research paper.