- the extent to which solutions could be implemented as text: not sure about that. AlphaFold is basically a mechanical/geometrical/Chemical problem. There are other scientific transformer based models.
- the extent which solutions exist online - if you have a strong verification tool, you can generate examples, you can generate feedback, i think you could start with small/smaller prior art
- the extent which solutions could be specified and checked - if you have a lot of priort art, maybe llm's can find the good "patterns" and compare against them, and at least get close to a good results - but you'd still need human verification.
The story about the contribution of Bell Labs' patents to the world was exciting. And the benefit was certainly much greater than the extra amounts people paid to bell labs.
In 20 years, thinking about llm's contribution to new technologies, to improved accessibility of valuable knowledge, to solving problems.
I agree. It depends on how well the pickup points are located. Often Amazon can win. They also use EV trucks, and create jobs, so there are advantages.
Designing a secure platform is possible within the EU[1].
[1]They need to use US EDA tools, And manufacture masks but maybe there are tricks they won't need to trust them - like inspecting critical parts of the masks.
Maybe, for some projects, instead of generating code with it, it would be useful to generate a plan and the loop(tests/formal verification),because those take much less tokens than a full project, and than use the loop using the older models ?
Is there an issue of taste when generating images with AI ? or can we relatively rapidly train people to generate beautiful images with decent amount of variety ?
Musk is a genius creating really exciting ideas. No doubt about that.
But as they say,"the devil is in the details"
- Can Starship transport people from London to Sydney safely economically, compared to Boom, which is working on a supersonic passenger aircraft ?
-Why can the boring machine dig tunnel at much lower cost than it's competitors? Maybe it's because the everyone else tries to dig tunnels for trains, which have a much larger diameter than Musk's boring machine, which only fits his "Teslas at a tunnel" concept?
And it might be a good idea. Worth a try. But be honest about it.
-Sure, data centers in space probably have some great uses, and I'm happy he's trying, but will they ever be more economical than deploying servers on the ocean? On countries with very cool climate?, powered by new energy technologies?
- the extent which solutions exist online - if you have a strong verification tool, you can generate examples, you can generate feedback, i think you could start with small/smaller prior art
- the extent which solutions could be specified and checked - if you have a lot of priort art, maybe llm's can find the good "patterns" and compare against them, and at least get close to a good results - but you'd still need human verification.