AI 2023. Meet ChatGPT. - page 201
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That's what I mean. There on the board to draw new developments, based on the old) And the production of elements including transistors, it is a whole science of semiconductors, then combine them into logic and registers, it is not so simple.
Where there are formulas and an algorithm, it is very possible that he will do it.
where there are formulas and an algorithm, there's a very good chance it will.
In addition to formulas and an algorithm, you need know-how.
In addition to formulas and algorithm, know-how is required.
It's already been done before us.
If I can do it, I can do it without any know-how.
However, recently I saw a super-chip on the internet, in the hands of the photo.
The dimensions are about 40x40 cm.
Let's wait, I wonder where it will be used.
but preliminary - just for AI.
It's all been invented before us.
if I can do it, I can do it without the know-how.
However, I recently saw a super-chip on the internet, in the hands of a photo.
The dimensions are about 40x40 cm
We'll wait, I wonder where they'll use it.
but tentatively, it's just right for AI.
Try to reproduce at least a steam locomotive without the know-how.
Try to reproduce at least a steam locomotive without the know-how.
It's there.
when you can resort to the saying "why reinvent the wheel?", it's no longer know-how.
he is
when you can resort to the saying "why reinvent the wheel?", it is no longer know-how.
It is there, but can any AI practically reproduce it (at least create technical documentation sufficient to reproduce the locomotive by stupid executors)? With knowledge of the laws of physics, formulas and algorithms.
It exists, but will any AI be able to practically reproduce it (at least create technical documentation sufficient to reproduce the locomotive by stupid executors)? With knowledge of the laws of physics, formulas and algorithms.
you could try asking him.
like
- drawings
- technology.
I think he'll answer
I think he will.
But he'll screw up so badly that it's easier to do it from scratch than to fix it.
AI lacks empirical experience of interacting with the world.
For example:
And how can it understand a statement that contradicts the laws of physics -"the quieter you go the further you'll go"?
A human starts learning physics from empirical interaction with the world and only then learns formulas. AI has only data/formulas at the beginningand only then interacts with the world. Does it impose limitations on its capabilities? This is difficult for a human to understand.
Let's try to understand it further.