Supercomputer AI News & Updates
Nvidia GTC 2025 Conference Begins with Anticipated Major Hardware Announcements
Nvidia's GTC 2025 conference has commenced with expected announcements about new AI hardware, including Blackwell Ultra processors and partnerships with GM. The event will feature updates on Nvidia's next-generation computing platforms, described as "personal AI supercomputers."
Skynet Chance (0%): This announcement merely indicates the conference has started with expected announcements, but contains insufficient details about actual technologies or their implications to assess any meaningful impact on AI control risks or safety concerns.
Skynet Date (+0 days): The article contains no substantive information about the announced technologies' capabilities or deployment timelines, providing insufficient data to assess how these announcements might affect the pace of development toward potentially uncontrollable AI systems.
AGI Progress (0%): While the conference is likely to feature significant AI hardware announcements, this specific article contains no actual technical details about the new technologies, making it impossible to assess their concrete impact on AGI progress.
AGI Date (+0 days): Without specific details about the capabilities, performance improvements, or availability of the mentioned hardware, there is insufficient information to determine how these announcements might affect the timeline toward AGI development.
Tesla's Dojo and Cortex: Elon Musk's Custom AI Supercomputers for Self-Driving Cars
Tesla is developing custom supercomputers Dojo and Cortex to train AI models for its Full Self-Driving technology and humanoid robots. The company aims to reduce dependency on Nvidia chips by creating its own D1 chips, with plans to scale Dojo to 100 exaflops by October 2024, though recent communications suggest a pivot toward Cortex as the primary training infrastructure.
Skynet Chance (+0.08%): Tesla's development of immense AI training capabilities aimed at creating "synthetic animals" with human-like perception increases the risk of advanced autonomous systems that could eventually operate beyond human comprehension or control. Tesla's emphasis on proprietary AI hardware-software integration creates potential for uniquely capable systems with limited external oversight.
Skynet Date (-3 days): The massive investment in proprietary AI compute infrastructure specifically designed for training autonomous systems suggests an acceleration in the development timeline for human-level AI perception and decision-making in physical environments. Tesla's commitment to deploy robotaxis by mid-2025 puts pressure on rapidly advancing these capabilities.
AGI Progress (+0.1%): Tesla's development of custom AI hardware optimized for neural network training represents significant progress in scaling AI computing infrastructure toward AGI-necessary levels. The company's integrated approach to hardware and software, combined with real-world data collection from millions of vehicles, creates a uniquely powerful capability focused on perception and decision-making.
AGI Date (-3 days): Tesla's massive investment in custom AI compute infrastructure (targeting 100 exaflops) and its aggressive timeline for unsupervised FSD by 2025 suggests an acceleration in the development of AI systems capable of human-level visual perception and decision-making in complex environments.