AI is going to struggle at building a consistent internal model of the domain into the software unless you’re able to give a structured explanation of the domain.
If you’re just giving it a set of inputs and expected outputs, it’s not going to generalise well and fail at out of sample input, unless the AI already understands the domain from its training set.
Being able to give a structured explanation of a domain (and being able to judge if the internal model of the software makes sense) is not the same as having experience in a domain.
Lots of ppl with domain experience can tell a right output from a false one, but can’t tell you why.
You are contradicting yourself. If you're hoarding the data for yourself you're not going to develop something useful. Sharing the data means that it will be integrated into the big LLMs, which will be useful "for their own country".
I don't know what to say. I may not like it, you may not think it's actually intelligent, you may not think it's going to change the world - but how can you not see that this is revolutionary?
The goal is to meet people with shared interests, regularly.
You may like to work out, but unless you enjoy talking and thinking about working out, the gym isn't the right place!
You may like to hike, but you may not enjoy talking and thinking about hiking. You may still find friends in the hiking group, because as you spend time together you discover shared interests. But you may also discover that you have very little in common with the people who like hiking.
That's why it's so easy to make friends in University:
You spend a lot of time together AND you have a shared interest: The major you all chose!
On the other hand, if you're into ... trains... you need to find places where people go that like to talk and think about trains! That's not always easy!
I built an optimisation for charging my car. It’s very smart, looks multiple days ahead in weather and prices and predicts my driving habits.
I tried to make it a product, but I didn’t find much interest. Maybe I’m just bad at marketing.
With the help of Claude, it cost me years of experience and few weekends to build. So even if nobody other than me ever profits from it, it was still worth it!
I’m a soft developer by trade and CAD is just something I do in order to be able to make the hardware I want to make. I’m not good at it and it takes me forever.
This is very exciting.
Next step, I need the same for PCB design, with good understanding of EMI issues.
AI is going to struggle at building a consistent internal model of the domain into the software unless you’re able to give a structured explanation of the domain.
If you’re just giving it a set of inputs and expected outputs, it’s not going to generalise well and fail at out of sample input, unless the AI already understands the domain from its training set.
Being able to give a structured explanation of a domain (and being able to judge if the internal model of the software makes sense) is not the same as having experience in a domain.
Lots of ppl with domain experience can tell a right output from a false one, but can’t tell you why.