Tech
Why Elon Musk Is Betting Big On Supercomputers To Boost Tesla And xAI
Elon Musk has big plans for how artificial intelligence can help to propel his businesses forward. The tech titan founded xAI, a new AI venture, in 2023 to develop large language models and AI products, like its chatbot Grok, as an alternative to AI tools being created by OpenAI, Microsoft and Google. In June, it was announced that xAI would build a multi-billion dollar supercomputer, called Colossus, in Memphis, Tennessee to carry out the task of training Grok. Musk thinks supercomputers can also transform Tesla from a car company to an AI and robotics company. In August, Musk teased Tesla’s AI supercomputer cluster called “Cortex” on X. Cortex is being built at Tesla’s Austin, Texas headquarters. Back in January, Tesla also announced that it planned to spend $500 million on a custom-built Dojo supercomputer in Buffalo, New York. The job of these supercomputers is to process and train AI models using the huge amounts of video and data captured by Tesla vehicles and improve Tesla’s suite of driver assistance features, which the company calls Autopilot, as well as its more robust Full Self-Driving or FSD system. Despite their names, neither Autopilot nor FSD make Tesla vehicles autonomous and require active driver supervision. But reaching full autonomy is critical for Tesla, whose sky-high valuation is largely dependent on bringing robotaxis to market, according to some analysts. Finally, supercomputers can also be used to train Tesla’s humanoid robot, Optimus. Watch the video to learn more about why Musk has been building a slew of supercomputers.
Chapters
01:55 – Supercomputers and xAI
05:08 – Supercomputers and Tesla
11:03 – Challenges and future outlook
Produced by: Magdalena Petrova
Additional Camera: Andrew Evers
Edited by: Nora Rappaprt
Animation: Josh Kalven
Supervising Producer: Jeniece Pettitt
Editorial Support: Lora Kolodny
Additional Footage: Getty Images, Tesla
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Why Elon Musk Is Betting Big On Supercomputers To Boost Tesla And xAI
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AI doomerism hit a fever pitch after former OpenAI and Anthropic researchers warned that AI could kill us, and Anthropic CEO Dario Amodei, OpenAI’s Sam Altman and SpaceX CEO Elon Musk joined the cause. As runaway AI fears reached a crescendo, policymakers renewed calls for a magic stop button for AI or a kill switch, which would require model makers to build a capability to shut down access when an agents go awry. CNBC speaks to experts to find out what it would take to build an AI kill switch.
Chapters:
0:00 Introduction
1:55 Car we create an AI kill switch?
2:51 Hardware-based soltuion
3:14 Kill switch regulation
5:31 The EU AI Act
7:21 Self regulation
8:44 Are we too late?
Reporter: Samantha Subin
Senior Director of Video: Jeniece Pettitt
Edited by: Erin Black, Andrew Evers
Additional Footage: Getty Images
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Why It’s So Hard To Build An AI Kill Switch
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More than 40% of ground business travel receipts were for Uber services in Q4, according to Certify.
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In South Korea, where a mountainous landscape makes building huge projects an incredible undertaking, SK Hynix — the world’s leading maker of high-bandwidth computer memory — is investing $720 billion on what it says will be the largest network of memory factories in the world.
Get an inside look at the company’s AI-fueled buildout in related video.
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