The most important is the ability

[MasudIbne756]

to reason. Gpt-4 can reason a little bit but not in the way we use and understand that term. When we have models that can discover new scientific knowledge at a phenomenal rate — if we let ourselves imagine a year where we make as much scientific progress as we did in the previous decade — and think about what that would do to quality of life, that’s pretty transformative.

What’s the next step?
There are obvious ones and speculative ones. Obviously, the models are going to get dramatically more capable, customizable and reliable. In the same way that the internet and mobile seeped everywhere, that’s going to happen with intelligence. It will be unthinkable to not have intelligence integrated into every product and service. It will just be an expected, obvious thing. This will be a big shift in how we interact with the world and technology.

What does a dramatically more capable gpt model look like?
One example, a lot of people use chatgpt to help them write code. Maybe today it’s 25%, then it can eventually go up to as high as 90%. At some point it’s letting you do things you just couldn’t do before. These america phone number list quantitative shifts lead to qualitative shifts. If you have better tools and can operate at a higher level of abstraction, you can do dramatically more. The cycle time and iterative feedback loop will change what a single programmer is capable of. That will change what a single person running a one-person company is capable of.

The amplification of one individual’s capabilities – one person with a good idea and a good understanding of what a customer needs – is going to be able to execute on that with what would have taken complex, many, many person teams before.