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a16z's 10,000-Word Article: The Next Frontier of AI Is Not in Language, But in the Physical World—The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

The next frontier of AI lies in the physical world, moving beyond language and code into robotics, autonomous science, and novel human-computer interfaces. These domains are powered by five core technical primitives: learned representations of dynamics, embodied action architectures, simulation and synthetic data infrastructure, expanded sensory channels, and closed-loop agent systems. Robotics applies these to real-time physical interaction, autonomous science enables AI-driven discovery through self-driving labs, and new interfaces—like AR, silent speech, and brain-computer interfaces—expand human-AI interaction bandwidth. Together, they form a mutually reinforcing flywheel: robotics enables automated science, science produces structured physical data to improve AI models, and new interfaces generate rich human-world interaction data. This convergence promises to unlock emergent capabilities as AI begins to scale in the physical domain.

marsbitAyer 06:51

a16z's 10,000-Word Article: The Next Frontier of AI Is Not in Language, But in the Physical World—The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

marsbitAyer 06:51

AI Industry Welcomes a Cash-Rich Tether

Tether, the company behind the stablecoin USDT, reported a staggering $13 billion profit in 2024, significantly outperforming major AI companies like OpenAI and Anthropic, both of which incurred substantial losses. With only 150 employees, Tether achieved a per capita output 60 times greater than OpenAI’s. Its business model is simple: for every USDT issued, Tether holds one US dollar, primarily investing these reserves in U.S. Treasury bonds. It earns the interest income without paying any to USDT holders. In 2024, interest alone contributed $7 billion to its profits. Now, Tether is aggressively investing in AI. It loaned over $600 million to Northern Data, Europe’s largest GPU cloud provider, acquiring what is effectively an AI training base. It also released QVAC Genesis, a massive open-source AI training dataset. Furthermore, Tether invested $200 million in Blackrock Neurotech, a pioneering brain-computer interface company. Additional investments in robotics could bring its total AI-related spending to nearly $2 billion. Tether’s move into AI may be driven by both anxiety over declining Treasury yields and ambition to establish itself as a tech leader. Ironically, it promotes "decentralized AI" despite being a highly centralized company itself. While OpenAI and Anthropic struggle with profitability and continuous fundraising, Tether leverages its highly profitable stablecoin business to fund its AI ambitions risk-free, making a paradoxical case that the best business model in AI might be not to do AI at all.

marsbit01/05 09:12

AI Industry Welcomes a Cash-Rich Tether

marsbit01/05 09:12

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