Trent asked Elon Musk when its feature-complete full self-driving would be released. Elon Musk replied that it would soon be released.
Trent reported that Tesla is working on a dedicated computer, Dojo, for training neural networks using self-supervised learning. Tesla will use a technique called active learning. Tesla will be an automatically curate only the most useful video clips for self-supervised learning from its fleet of roughly 750,000 camera-equipped, Internet-connected cars.
Tesla has about 750,000 cars with eight surround cameras that likely drive about an hour per day on average. There is 20 million hours of 360-degree video per month across the whole fleet and about 170 million hours of video per month across the eight cameras on each vehicle. Self-supervised learning can pull useful cases from that video.
Brian Wang is a prolific business-oriented writer of emerging and disruptive technologies. He is known for insightful articles that combine business and technical analysis that catches the attention of the general public and is also useful for those in the industries. He is the sole author and writer of nextbigfuture.com, the top online science blog. He is also involved in angel investing and raising funds for breakthrough technology startup companies.
He gave the recent keynote presentation at Monte Jade event with a talk entitled the Future for You. He gave an annual update on molecular nanotechnology at Singularity University on nanotechnology, gave a TEDX talk on energy, and advises USC ASTE 527 (advanced space projects program). He has been interviewed for radio, professional organizations. podcasts and corporate events. He was recently interviewed by the radio program Steel on Steel on satellites and high altitude balloons that will track all movement in many parts of the USA.
He fundraises for various high impact technology companies and has worked in computer technology, insurance, healthcare and with corporate finance.
He has substantial familiarity with a broad range of breakthrough technologies like age reversal and antiaging, quantum computers, artificial intelligence, ocean tech, agtech, nuclear fission, advanced nuclear fission, space propulsion, satellites, imaging, molecular nanotechnology, biotechnology, medicine, blockchain, crypto and many other areas.