But let's take the one you've accepted - it can write code. It can translate from intention to code quite effectively - then they can do anything that you can do by writing code.
Also while you dismiss ML that drives cars as 'not LLMs' - it's part of the ecosystem - these task specific models ( the ability to process images, sounds, drive cars, synthesize speech etc ) - extend what is accessible to a computer programme that can write code.
Look at what's happening in the world of robotics.
You have lots of specific ML models that allow the robot to move, see etc.
Then the LLM allows it to convert a human command in the form of arbitary speech ( rather than fixed preset commands ) into action.
But let's take the one you've accepted - it can write code. It can translate from intention to code quite effectively - then they can do anything that you can do by writing code.
Also while you dismiss ML that drives cars as 'not LLMs' - it's part of the ecosystem - these task specific models ( the ability to process images, sounds, drive cars, synthesize speech etc ) - extend what is accessible to a computer programme that can write code.
Look at what's happening in the world of robotics. You have lots of specific ML models that allow the robot to move, see etc.
Then the LLM allows it to convert a human command in the form of arbitary speech ( rather than fixed preset commands ) into action.