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Elon Musk promises not to cut off Anthropic's computing power ⚡

Elon Musk insists that AI startup Anthropic can trust him not to cut off its computing power, safeguarding a relationship with $40 billion in revenue at stake.

Tier 1 · sources 60% confidence Reviewed
Sources techcrunch.com

Billionaire Elon Musk has recently praised the development of the large-scale models Mythos and Fable, while promising not to "cut off" computing resources for Anthropic. This statement comes amid growing skepticism over whether Anthropic should trust Musk to host its AI models.

Detailed Developments

The skepticism stems from the direct competition between xAI (Musk's AI company) and Anthropic in the global LLM market. With Anthropic projected to bring in around $40 billion in revenue, this infrastructure partnership is vital for both entities. Addressing concerns that Musk could leverage infrastructure control to hinder a rival, he reassured the public and affirmed his commitment to maintaining stable services.

Technical & Technology Analysis

Running advanced AI models like Anthropic's requires massive supercomputing clusters with tens of thousands of low-latency interconnected GPUs. Any disruption in physical infrastructure, from power supply to network bandwidth, could paralyze model training and inference capabilities. Therefore, Musk's commitment not to interfere with technical operations is a crucial operational safety guarantee for Anthropic.

Expert Opinions & Assessments

According to tech analysts, although Musk's promise eases short-term worries, Anthropic still faces significant risks by relying on a direct competitor's infrastructure. Experts advise that to ensure autonomy, leading AI startups must diversify their cloud providers (multi-cloud strategy) rather than betting all resources on a single provider.

Impact & Future

Musk's assurance helps stabilize market sentiment and bolster confidence among Anthropic's investors. For readers and the tech community, this case clearly demonstrates that the AI race is not just about algorithms, but heavily dependent on controlling hardware resources and global large-scale cloud computing infrastructure.