Monitoring and tracking artificial intelligence development and risk assessment in real-time.

Skynet Chance (+0.01%): World models that understand physics and spatial relationships represent progress in embodied AI, which could eventually contribute to more capable autonomous systems. However, the current application is focused on creative design tools with human oversight, presenting minimal immediate control or alignment concerns.

Skynet Date (+0 days): The commercial investment and integration into production workflows accelerates the development and deployment of spatial reasoning AI systems, though the narrow creative design focus limits the pace of development toward more general autonomous capabilities.

AGI Progress (+0.02%): World models that can reason about geometry, physics, and dynamics represent meaningful progress toward AI systems with grounded understanding of the physical world, a key component of general intelligence. The ability to generate coherent 3D environments demonstrates advancement in spatial reasoning and multi-modal understanding.

AGI Date (+0 days): The $200 million investment and potential $5 billion valuation signals substantial capital flowing into spatial AI research and accelerates the commercialization of physical world understanding. This funding and partnership with a major software company will likely speed development of more sophisticated world models.

Skynet Chance (+0.02%): Improved instruction-following and autonomous computer use capabilities increase potential for more independent AI systems, though the model remains behind the most advanced frontier systems. The incremental nature and continued human oversight mechanisms suggest modest risk elevation.

Skynet Date (+0 days): The sustained four-month release cycle and competitive benchmark improvements demonstrate consistent capability acceleration across the industry. However, the model's position below top-tier systems suggests this represents expected progress rather than breakthrough acceleration.

AGI Progress (+0.02%): The 60.4% ARC-AGI-2 score represents meaningful progress on benchmarks specifically designed to measure human-like general intelligence, alongside substantial improvements in coding and autonomous computer use. The 1 million token context window enables more complex reasoning over larger information sets, advancing toward AGI-relevant capabilities.

AGI Date (+0 days): Anthropic's consistent four-month release cycle with measurable capability gains demonstrates sustained momentum in the industry, accelerating the timeline toward AGI. The fact that mid-tier models are now achieving 60%+ scores on human intelligence benchmarks suggests faster-than-expected progress across the capability spectrum.

Skynet Chance (+0.04%): The capability for AI to design its own hardware creates a potential recursive self-improvement loop, reducing human oversight in critical infrastructure design. This increases autonomy and capability scaling, though the founders emphasize efficiency benefits and the technology remains in early commercial stages.

Skynet Date (-1 days): By dramatically accelerating chip design cycles and enabling faster co-evolution of AI models with their underlying hardware, this technology could significantly speed up AI capability advancement. The founders explicitly state this will allow "AI to grow smarter faster," directly accelerating the timeline for advanced AI systems.

AGI Progress (+0.04%): This represents a meaningful advancement toward AGI by addressing a key bottleneck: hardware design speed. The ability to rapidly iterate on specialized AI chips and enable faster co-evolution of models and hardware directly supports the scaling and optimization required for AGI development.

AGI Date (-1 days): The platform substantially accelerates chip development from years to hours and enables rapid hardware-software co-optimization, removing a major constraint on AI advancement pace. The founders explicitly position this as enabling faster AI evolution, with potential 10x efficiency improvements that could dramatically accelerate AGI timelines.