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

Skynet Chance (+0.06%): The development of a highly capable AI model that can autonomously identify thousands of critical vulnerabilities demonstrates increased capability for AI systems to operate at sophisticated technical levels, which could pose control challenges if misaligned. The explicit acknowledgment that the model could be weaponized by bad actors to exploit rather than fix vulnerabilities highlights dual-use risks inherent in powerful AI systems.

Skynet Date (-1 days): The emergence of frontier models with strong agentic capabilities and autonomous technical operation accelerates the timeline toward AI systems that could potentially operate beyond human oversight. The model's ability to perform complex cybersecurity tasks autonomously suggests faster-than-expected progress in AI agency and independence.

AGI Progress (+0.04%): Mythos represents a significant step forward in general-purpose AI capabilities, particularly in autonomous reasoning, coding, and complex technical analysis, which are core competencies required for AGI. The model's performance surpassing Anthropic's previous most powerful models and its ability to identify vulnerabilities humans missed for decades demonstrates advancing cognitive capabilities across multiple domains.

AGI Date (-1 days): The rapid development of increasingly powerful frontier models by major AI labs like Anthropic, coupled with strong agentic and reasoning capabilities demonstrated by Mythos, suggests accelerated progress toward AGI. The fact that this model significantly exceeds the capabilities of Anthropic's previous flagship models indicates faster-than-expected scaling of AI capabilities.

Skynet Chance (+0.04%): Massive compute scaling enables more powerful AI models with potentially less predictable emergent behaviors, while rapid enterprise deployment with minimal discussion of safety measures slightly increases loss-of-control risks. However, the compute remains under established corporate governance structures.

Skynet Date (-1 days): The 3.5 gigawatt compute expansion and $30 billion revenue run rate demonstrate rapid acceleration in AI capability deployment and market adoption, significantly speeding the timeline toward more powerful and widely-deployed AI systems. This compute will be available by 2027, accelerating the pace of advanced model development.

AGI Progress (+0.04%): Securing 3.5 gigawatts of compute capacity represents a substantial infrastructure commitment that directly enables training and deploying increasingly capable AI models at frontier scale. The explosive revenue growth and enterprise adoption indicates these models are achieving economically valuable general capabilities across diverse domains.

AGI Date (-1 days): The massive compute expansion coming online in 2027, combined with demonstrated ability to scale revenue 3x in months, substantially accelerates the pace toward AGI by removing infrastructure bottlenecks. Anthropic's $50 billion U.S. infrastructure commitment and rapid scaling suggests AGI development timelines are compressing faster than previously expected.

Skynet Chance (-0.08%): The proposal includes containment plans for dangerous AI, new oversight bodies, and targeted safeguards against high-risk uses like cyberattacks and biological threats, which represent proactive risk mitigation efforts. However, the simultaneous push for accelerated AI infrastructure buildouts and treating AI as a utility could increase deployment risks, partially offsetting the safety benefits.

Skynet Date (-1 days): OpenAI's proposals for expanded electricity infrastructure, accelerated AI buildouts with subsidies and tax credits, and treating AI as a utility would significantly speed up AI deployment and capability scaling. The framework explicitly acknowledges transitioning to "superintelligence" as an imminent economic reality requiring immediate policy responses, suggesting acceleration of advanced AI timelines.

AGI Progress (+0.01%): The document frames superintelligence as a near-term economic reality requiring immediate policy frameworks rather than a distant possibility, indicating OpenAI's confidence in approaching transformative AI capabilities. The focus on economic restructuring for an "intelligence age" suggests internal projections show significant progress toward AGI-level systems.

AGI Date (-1 days): The policy proposals explicitly frame superintelligence as an imminent economic force requiring proactive infrastructure expansion, suggesting OpenAI anticipates AGI-level capabilities within policy-relevant timeframes (likely within years, not decades). The push for subsidies, tax credits, and treating AI as critical infrastructure indicates efforts to accelerate development timelines through increased investment and regulatory support.

Skynet Chance (+0.04%): The accelerated deployment of autonomous physical AI systems across critical infrastructure, defense, and industrial operations increases the surface area for potential loss of control, especially as these systems gain more autonomy in real-world environments. However, the focus on reliability, human oversight, and measured deployment partially mitigates immediate risks.

Skynet Date (-1 days): Japan's government-backed $6.3 billion investment and explicit goal to capture 30% global market share by 2040 signals significant acceleration in physical AI deployment and integration with real-world systems. The shift from trials to customer-paid deployments across factories, warehouses, and defense systems indicates faster-than-expected operationalization of autonomous AI in high-stakes environments.

AGI Progress (+0.03%): The article demonstrates significant progress in embodied AI capabilities, with systems now combining vision-language models with real-time control to interpret environments and execute complex tasks autonomously across diverse domains. The transition from experimental trials to reliable full-shift operations with measurable performance metrics indicates meaningful advancement in AI's ability to operate effectively in the physical world.

AGI Date (-1 days): Large-scale government backing, immediate economic necessity driving rapid deployment, and the integration of perception, decision-making, and physical control systems across multiple industries suggests faster development of general-purpose embodied AI capabilities. The shift from hardware-centric to software-and-integration focus, combined with hybrid startup-incumbent collaboration, is accelerating the pace of practical AI advancement in physical domains.