Aleph Alpha

The main differentiators are:

• Generalizability

  AGI models are no longer limited or fine-tuned to a single problem making them use-case agnostic. The learning is no longer restricted to small, tightly focused datasets, and can instead leverage large, general knowledge and transfer what has already been learned to new tasks

• Scale

  AGI models are no longer limited or fine-tuned to a single problem making them use-case agnostic. The learning is no longer restricted to small, tightly focused datasets, and can instead leverage large, general knowledge and transfer what has already been learned to new tasks

• Superhuman performance

  AGI models are capable of finding previously unthought superior approaches to complex challenges beyond the scope and difficulty of games like ‘Go’. With systems whose understanding and strategic mastery is far surpassing human capabilities new approaches for explainability and safety become essential.