I wonder how much time and money Musk could save if his "AI experts" had lossless compression as a benchmark?
The NeRF paper is from Aug. 2020 <https://arxiv.org/pdf/2003.08934.pdf>: "Our method requires only 5 MB for the network weights (a relative compression of 3000× compared to LLFF), which is even less memory than the input images alone for a single scene from any of our datasets." "We're also very excited about the recent breakthrough in Neural Radiance Field, or NeRF..." <https://www.youtube.com/watch?v=ODSJsviD_SU&t=4621s> And even NeRF isn't really where things should be. The hardware architecture Musk has locked his company into would be very different as it would focus on sparsity. It could easily cost a lot of lives to shift to sparsity if, indeed, the regulatory and civil infrastructure around self-driving even permits it. On Fri, Sep 30, 2022 at 7:21 PM <[email protected]> wrote: > 1 hour left before teslabot update > https://www.youtube.com/watch?v=ODSJsviD_SU > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + > delivery options <https://agi.topicbox.com/groups/agi/subscription> > Permalink > <https://agi.topicbox.com/groups/agi/Tf648827ebb14f7c8-M07684de7ce034451a851ee8e> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf648827ebb14f7c8-M2ca1d871b32914199aee8ce7 Delivery options: https://agi.topicbox.com/groups/agi/subscription
