I think I finally understand why the LLM craze is like catnip to management types - they think they've found a cheat code to workaround the mythical man-month
For my whole life in technology, there was this thing called the Mythical Man Month: nine women cannot have a baby in a month. If you're Google, you can't just put a thousand software engineers on a product and wipe out a startup because you can only... build that product with seven or eight people. Once they've figured it out, they've got that lead.
That's not true with AI. If you have data and you have enough GPUs, you can solve almost any problem. It is magic. You can throw money at the problem. We've never had that in tech.
Maybe it could have been written slightly clearer, but I think the intended meaning is, "If 10x more tokens saves a day, spend the tokens. The bottleneck should be human decision-making time, not agent compute time."
Any human in the loop will be a bottleneck in comparison to AI performance.
If we take that to its logical conclusion, I think we can answer that question.
Getting rid of humans, unfortunately, also takes away their earnings and therefore their ability to purchase whatever product you are developing. The ultra rich can only purchase your product so often - hence better make it a subscription model.
So there is pressure on purchasing power versus earnings. Interesting to see what happens and why.
I'm not sure I agree with this. 10x more tokens means leaaving the agent to work for 10x longer, which may lead to bugs and misintepretation of the intention. Breaking the goal into multiple tasks seems more efficient in terms of tokens and getting close to the desired goal. Of course this means more human involvment, but probably not 10x more.
The day being referred to is the human’s time, not the AI’s time. That sentence is saying substitute the cheap, abundant resource for the expensive, bottlenecked resource.
This seems entirely backwards. Why spend money to optimize something that _isn't_ the bottleneck?