Nvidia Prepares to Unveil Next-Generation AI Hardware at GTC 2025

Skynet Chance (+0.05%): The significant leap in computing power represented by Blackwell Ultra and subsequent Rubin architectures enables increasingly sophisticated AI models that could exceed human understanding and monitoring capabilities, potentially creating systems whose behaviors become less predictable and harder to control.

Skynet Date (-2 days): The continuous acceleration of AI compute capabilities represented by these new GPU architectures directly shortens the timeline for developing systems with potential control risks, as the hardware enabling more powerful and potentially autonomous systems is becoming available much sooner than previously projected.

AGI Progress (+0.09%): The introduction of significantly more powerful GPU architectures like Blackwell Ultra and Rubin represents a substantial step toward enabling the training of more capable AI systems, as compute capacity has been historically one of the most reliable predictors of AI capability advances.

AGI Date (-2 days): Nvidia's rapid acceleration of next-generation AI hardware development, with Blackwell Ultra coming in 2025 and already discussing post-Rubin architectures, significantly compresses the timeline for when sufficient computational resources for AGI will be widely available to researchers and companies.