Robert Scoble
@Scobleizer · 26. Aug. 2023
Our world changed tonight.
In 10 years we will look back at the first public demo of a robot that learned to move around the world by watching only videos.
This is a paradigm shift in how software is built.
At one point @elonmusk took over because the AI made a mistake.
Elon Musk
@elonmusk
An accurate assessment.
What is also mindblowing is that the inference compute power needed for 8 cameras running at 36FPS is only about 100W on the Tesla-designed AI computer. This puny amount of power is enough to achieve superhuman driving!
It makes a big difference that we run inference at int8, which is far more power-efficient than fp16. This requires us to do very difficult quantization-aware training at fp16 in order to infer at the lower resolution of int8.
But think about that for a minute: int8 only gives you a numerical range from 0 to 255 and yet the car can still understand the immense complexity of reality well enough to drive!
Same caveats here: reaching superhuman driving with AI requires billions of dollars per year of training compute and data storage, as well as a vast number of miles driven.
Tesla also has over 4 million cars on the road capable of training the AI. In a few years, we will have roughly 10 million.
10:04 · 26. August 2023 · 2,1 Mio. Aufrufe
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