All of that will inevitably be solved.
50 years ago, using a personal computer was an extravagant luxury. Until it wasn't.
30 years ago, carrying a powerful computer in your pocket was unthinkable. Until it wasn't.
Right now, it's cheaper to run your accounting math on dedicated adder hardware. But Llms will only get cheaper. When you can run massive LLMs locally on your phone, it's hard to justify not using it for everything.
If I can run 50,000 fixed tasks that cost me $0.834/hr but OpenAI is costing $37/hr and the automation takes 40x as long and can make TERRIBLE errors why the fuck would I not move to the deterministic system?
Also, battery life of mobile devices.
But now, we not only have laptops, we run horribly inefficient GUIs in horribly inefficient VMs on them.
The dollar-per-compute trend goes ever downward.
Yes. That's precisely why my company runs dBase 7 on a fleet of old 286DX machine from Compaq. /s
Running obsolete software will be cheaper, but the value provided by the newer technology will make the difference insignificant.
Why do 50,000 tasks with an LLM when I can do 64,467,235 without an LLM that the LLM created for the same cost on probably far lower cost hardware?
Because you'll be outcompeted by people who make the best of the nondeterministic system.
Speed, cost, security, job/task management
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