I think the core feature of human intelligence is our ability to start out as dumb and slowly learn from our environment.
For me, AGI must meet the following parameters
- Be able to start training from scratch. With barely any training, you should be able to throw unlabeled data of different modalities and it should start forming connections between concepts
- After training for a bit (now at perhaps teenager level), be able to identify incorrect information in its own training (e.g. Santa Clause is not real) and effectively remove it.
- it does not have to exceed humans, just need to demonstrate the ability to learn by itself and use the tools it’s given.
- The self training should be supervised but not 100% controlled. It should iterate on itself and learn new concepts without having been trained on the entirety of the internet.
- Learning concepts should not require massive amounts of data, just an assertion and some reasoning.
For me, AGI must meet the following parameters - Be able to start training from scratch. With barely any training, you should be able to throw unlabeled data of different modalities and it should start forming connections between concepts
- After training for a bit (now at perhaps teenager level), be able to identify incorrect information in its own training (e.g. Santa Clause is not real) and effectively remove it.
- it does not have to exceed humans, just need to demonstrate the ability to learn by itself and use the tools it’s given.
- The self training should be supervised but not 100% controlled. It should iterate on itself and learn new concepts without having been trained on the entirety of the internet.
- Learning concepts should not require massive amounts of data, just an assertion and some reasoning.