Sutton: Reinforcement Learning
LeCun: Energy Based Self-Supervised Learning
Chollet: Program Synthesis
Fei-Fei: ???
Are there any others with hot takes on the future architectures and techniques needed for of A-not-quite-G-I?
LeCun: Energy Based Self-Supervised Learning
Chollet: Program Synthesis
Fei-Fei: ???
Are there any others with hot takes on the future architectures and techniques needed for of A-not-quite-G-I?
Underrated and unsung. Fei Fei Li first launched ImageNet way back in 2007, a hugely influential move sparking much of the computer vision deep learning that followed since. I remember in a lecture about 7 years ago jph00 saying "text is just waiting for its imagenet moment" -> then came the gpt explosion. Fei Fei was massively instrumental in where we are today.
Their success is due to datasets and the tooling that allowed models to be trained on large amounts of data, sufficiently fast using GPU clusters.
> I spent years building ImageNet, the first large-scale visual learning and benchmarking dataset and one of three key elements enabling the birth of modern AI, along with neural network algorithms and modern compute like graphics processing units (GPUs).
Datasets + NNs + GPUs. Three "vastly different" advances that came together. ImageNet was THE dataset.