1. what was the reasoning behind thinking billion/trillion parameters would be naive and wasteful? perhaps part are right and could inform improvements today.
2. can you elaborate on the failure to translate research breakthroughs, of which there are many, into ambitious AI products? do you mean commercialize them, or pursue something like alphafold? this question is especially relevant. everyone is watching to see if recent changes can bring google to its rightful place at the forefront of applied AI.
1. what was the reasoning behind thinking billion/trillion parameters would be naive and wasteful? perhaps part are right and could inform improvements today.
2. can you elaborate on the failure to translate research breakthroughs, of which there are many, into ambitious AI products? do you mean commercialize them, or pursue something like alphafold? this question is especially relevant. everyone is watching to see if recent changes can bring google to its rightful place at the forefront of applied AI.