Volatile stock, a buying opportunity?
It is still lower than at the end of the first day of trading...
Data centers in space may end up being "a year away" for 10 years, like self-driving cars...
But Tesla ended up being a very good investment anyway... What will be with SpaceX?
SpaceX: SPCX Stock Price Quote & News | Robinhood
Elon Musk explains how SpaceX could build AI data centers in space - YouTube
This video features Elon Musk and the SpaceX team discussing the technical feasibility of building orbital AI data centers. Key highlights include:
- Engineering Challenges: The primary tasks involve power generation via large-scale solar arrays and managing heat dissipation through massive radiators in the vacuum of space (1:12-1:20).
- The "AI1" Satellite: SpaceX proposes a specialized satellite design that focuses on compute power, utilizing technology derived from their existing Starlink V3 vehicles to support roughly 120 kW of sustained compute (2:16-3:00).
- Scalability: The team plans to scale up production rapidly, moving from an annualized rate of 1 gigawatt of space-based AI compute per year by the end of next year toward a long-term goal of a terawatt using a massive "tera-fab" facility (12:25-13:05).
- Future Vision: Beyond orbital satellites, Musk envisions potential moon-based production using mass drivers to launch hardware into space without the need for traditional rockets (13:42-14:43).
This deep-dive conversation between Dwarkesh Patel and Elon Musk covers a wide range of topics centered on the future of technology, energy, and industry:
- Orbital Data Centers & Energy (0:00:00): Musk discusses the physical limitations of energy scaling on Earth and the long-term potential of moving AI infrastructure into space to utilize solar power.
- AI Business & Alignment (0:36:46 - 0:59:56): Insights into xAI's approach to Grok, the importance of keeping humanity's future "interesting" to avoid simulation termination, and the competitive landscape of AI labs.
- Manufacturing & Robotics (1:17:21): A look at the scaling of Optimus humanoids, the use of custom hardware, and how AI-driven automation is necessary for tasks like mineral refining.
- Leadership & Management (1:44:16): Musk explains his management philosophy, emphasizing "nano-management" of technical bottlenecks, the importance of a maniacal sense of urgency, and the necessity of hiring people based on exceptional ability rather than just resumes.
- Government Reform (2:20:08): Discussion of DOGE (Department of Government Efficiency) and the need to address massive waste, fraud, and systemic incompetence in federal bureaucracy.
- Hardware Scaling (2:38:28): The challenges of scaling semiconductor production to millions of wafers a month to meet future AI demand and the unifying theme of leaning into "acute pain" to solve engineering bottlenecks.
SpaceX has already struck computing power-related deals with Anthropic, Google and Cursor, and Musk’s company is now acquiring Cursor. Reflection adds another customer to that roster, and a strategically different one: an AI lab focused on open-source models at a moment when governments and enterprises are reassessing dependence on closed AI systems.
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