Earlier quoted context omitted.
Of course you're not going to get rich with the kind of software that LLMs can one shot these days. But that kind of software like to-do lists or basic CRUD have been saturated for over a decade, way before LLMs. People overestimate how much you can one shot, yeah a good prompt can get you 90% there but that 10% remaining often takes months of extra work. Software has always progressed this way, lots of devs back the…
But what does the human researcher do in this future? If they are not needed to understand the result, then what's their role? Asking the right questions? But how will they know what questions to ask if they don't have a deep understanding of the domain earned by sweating the details themselves? And how long will they be needed to ask the right questions, how long until AI can do that too? > Software has always progr…
The right questions are very simple to ask.
How do I get food. How to cure aging. How to turn lead into gold. How to fly high. What is the ultimate theory of physics. Are there any odd perfect numbers. Is there a soul.
We have reached complicated questions requiring deep knowledge because we tried to solve the simpler ones and reached obstacles. For example to solve alchemy we had to develop nuclear physics (and in the process we got chemistry). If one has a genie able to solve questions, you won't have to think about the complicated ones because the genie will.