The opposing theory would be “easy to port” narrow ai. Right now the state of the art algorithms are either locked away in deepminds vcs or are hand written python code by openAI that is kind of hard to port to a new task or drive a realtime robot with.
It reminds me of the situation in the late 90s, where creating an e-commerce website and store was a big undertaking, or a 3d accelerated game was a big project. Now of course anyone can launch a store in hours the hard part is getting customers or making a profit after Amazon/ebay take their cut. And there are lots of examples of a hobbyist game developer re-creating a simple game in lavishly detailed 3d in 24 hours or less by using an existing engine and assets from a library or store.
“Easy to port” narrow ai would be you subscribe to a bunch of reusable ai components- some for perception, some for planning, some for prediction, etc. Import some high level constructs to define your heuristics with. Pick one of many hardware platforms and ask another ai system to evaluate how many robotic arms and what kind of sensors will be optimal for a task.
And in a short amount of time you have a sellable automated robotic system able to do a task that hasn’t been automated before for money. Same problem with ebay/Amazon, of course, the lion’s share of the revenue would go to the platform owners.
The opposing theory would be “easy to port” narrow ai. Right now the state of the art algorithms are either locked away in deepminds vcs or are hand written python code by openAI that is kind of hard to port to a new task or drive a realtime robot with.
It reminds me of the situation in the late 90s, where creating an e-commerce website and store was a big undertaking, or a 3d accelerated game was a big project. Now of course anyone can launch a store in hours the hard part is getting customers or making a profit after Amazon/ebay take their cut. And there are lots of examples of a hobbyist game developer re-creating a simple game in lavishly detailed 3d in 24 hours or less by using an existing engine and assets from a library or store.
“Easy to port” narrow ai would be you subscribe to a bunch of reusable ai components- some for perception, some for planning, some for prediction, etc. Import some high level constructs to define your heuristics with. Pick one of many hardware platforms and ask another ai system to evaluate how many robotic arms and what kind of sensors will be optimal for a task.
And in a short amount of time you have a sellable automated robotic system able to do a task that hasn’t been automated before for money. Same problem with ebay/Amazon, of course, the lion’s share of the revenue would go to the platform owners.
Interesting! But I downvoted since it’s a comment, not an answer.