Jensen Huang says AI Scaling Laws are continuing because there is not one but three dimensions where development occurs: pre-training (like a college degree), post-training ("going deep into a domain") and test-time compute ("thinking")
Jensen Huang says AI Scaling Laws are continuing because there is not one but three dimensions where development occurs: pre-training (like a college degree), post-training ("going deep into a domain") and test-time compute ("thinking")

Jensen Huang says AI Scaling Laws are continuing because there is not one but three dimensions where development occurs: pre-training (like a college degree), post-training ("going deep into a domain") and test-time compute ("thinking")

Jensen Huang says AI Scaling Laws are continuing because there is not one but three dimensions where development occurs: pre-training (like a college degree), post-training ("going deep into a domain") and test-time compute ("thinking") submitted by /u/MetaKnowing
[link] [comments]