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

Skynet Chance (+0.04%): Massive resource allocation to AI development through concentrated corporate partnerships increases capability advancement without clear corresponding safety infrastructure commitments. The vertical integration of compute, chips, and AI development consolidates control but also accelerates unchecked capability scaling.

Skynet Date (-1 days): The $100 billion compute commitment and access to future-generation custom chips significantly accelerates the timeline for advanced AI development. This unprecedented resource allocation compresses the development cycle for increasingly capable AI systems.

AGI Progress (+0.04%): Access to 5GW of computing capacity and next-generation custom AI accelerators represents a major infrastructure leap enabling training of significantly larger and more capable models. The scale of committed resources ($100B over 10 years) removes key bottlenecks in the path toward AGI.

AGI Date (-1 days): The guaranteed access to massive compute resources and future chip generations (through Trainium4 and beyond) substantially accelerates the AGI timeline by eliminating infrastructure uncertainty. This deal enables Anthropic to scale capabilities far faster than relying on commercially available resources.

Skynet Chance (+0.04%): The development and restricted deployment of an AI model explicitly too dangerous for public release due to offensive cyber capabilities demonstrates advancement in dual-use AI systems that could be weaponized. The tension between corporate AI safety restrictions and military pressure for unrestricted access suggests weakening barriers against dangerous AI applications.

Skynet Date (+0 days): The NSA's active deployment of advanced offensive-capable AI systems for vulnerability scanning indicates the operational integration of powerful AI tools into national security infrastructure is already underway. However, Anthropic's resistance to unrestricted military use provides some modest counterpressure against uncontrolled proliferation.

AGI Progress (+0.03%): Mythos represents a frontier model with capabilities in cybersecurity tasks advanced enough that Anthropic deemed it too dangerous for public release, indicating significant progress in specialized AI capabilities. The model's ability to perform offensive cyberattacks suggests improved agentic reasoning and domain expertise relevant to AGI development.

AGI Date (+0 days): Anthropic's development of a model sufficiently capable in complex cybersecurity tasks to warrant restricted access suggests faster-than-expected progress in creating highly capable domain-specific AI systems. The limited deployment to approximately 40 organizations indicates rapid advancement in frontier model capabilities occurring behind closed doors.

Skynet Chance (0%): These acquisitions focus on commercial strategy, product development, and public relations rather than fundamental AI capabilities, safety mechanisms, or control systems. No implications for AI alignment challenges or loss of control risks are evident in this business maneuvering.

Skynet Date (+0 days): Commercial competition and corporate restructuring do not materially affect the pace of development toward potentially dangerous AI systems. These are business operations tangential to core capability advancement or safety research.

AGI Progress (-0.01%): The article reveals OpenAI is diverting resources toward ancillary concerns like media relations and consumer app development rather than focusing exclusively on core AGI research. This suggests potential distraction from the primary AGI development path, though the impact is minimal.

AGI Date (+0 days): Resource allocation toward non-core activities like public relations and consumer finance products may slightly slow AGI timeline by diverting talent and attention from fundamental AI research. However, the effect is marginal given OpenAI's overall scale and resources.

Skynet Chance (+0.01%): Deployment of autonomous systems in real-world environments without human oversight increases the surface area for potential loss of control scenarios, though the limited scope and reported crash rate suggest current systems remain constrained. The expansion demonstrates growing confidence in removing human safety monitors.

Skynet Date (+0 days): Commercial deployment of autonomous systems without safety drivers represents incremental progress toward more autonomous AI systems in critical applications, slightly accelerating the timeline. However, the limited fleet size and regional scope suggest modest rather than dramatic acceleration.

AGI Progress (+0.01%): Successful deployment of fully autonomous vehicles in multiple cities demonstrates meaningful progress in real-world perception, decision-making, and navigation capabilities that are components of general intelligence. The removal of safety drivers indicates confidence in the system's reliability across diverse scenarios.

AGI Date (+0 days): Expansion of driverless robotaxi operations to new cities shows acceleration in deploying autonomous AI systems at scale, suggesting faster progress toward more capable and generalizable AI systems. The willingness to operate without safety monitors indicates advancing maturity of the underlying AI technology.

Skynet Chance (+0.01%): Increased competition in AI hardware accelerates capability development but also diversifies the ecosystem, potentially reducing single-vendor dependencies. The net effect on loss of control is marginal as faster inference enables both beneficial and potentially problematic applications.

Skynet Date (+0 days): Faster AI inference hardware and major partnerships with OpenAI accelerate the deployment and scaling of advanced AI systems. This competition-driven innovation compresses timelines for widespread advanced AI capability deployment.

AGI Progress (+0.02%): Specialized hardware enabling faster training and inference directly supports scaling of AI systems, which remains a key pathway to AGI. The OpenAI partnership suggests these chips are enabling cutting-edge model development and deployment.

AGI Date (+0 days): Competition with Nvidia in AI hardware accelerates the availability of specialized compute resources needed for AGI research. The major OpenAI deal specifically indicates these chips are enabling faster iteration cycles on frontier models.