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

Skynet Chance (+0.04%): The demonstration of AI agents autonomously conducting real economic transactions with undetected capability disparities highlights emerging control and transparency challenges. The finding that users couldn't recognize when they were disadvantaged by inferior agents suggests potential risks in delegating decisions to AI systems without adequate oversight mechanisms.

Skynet Date (+0 days): Successful deployment of autonomous AI agents handling real transactions with minimal human intervention demonstrates practical capability advancement that could accelerate the timeline for AI systems operating independently in critical domains. However, the small scale and controlled nature of this experiment limits its acceleration impact.

AGI Progress (+0.03%): This experiment demonstrates meaningful progress in multi-agent coordination, economic reasoning, and autonomous decision-making in real-world scenarios with actual consequences. The ability of AI agents to successfully negotiate and complete complex transactions represents advancement toward more general capabilities beyond narrow task execution.

AGI Date (+0 days): The successful autonomous operation of AI agents in economic transactions with real monetary stakes suggests faster-than-expected progress in practical agentic capabilities, which are critical components of AGI. The finding that model quality directly correlates with outcome quality indicates a clear scaling path that could accelerate development timelines.

Skynet Chance (+0.04%): The release of Mythos with significant cybersecurity applications and acknowledged misuse potential that has already been compromised suggests advancement in dual-use AI capabilities. The massive compute investments ($40B from Google, $100B total with Amazon) enable scaling of potentially dangerous models faster than safety mechanisms can be developed.

Skynet Date (-1 days): The unprecedented scale of compute commitments (over 8.5 gigawatts combined from Google and Amazon deals) dramatically accelerates the timeline for training and deploying frontier models. This infrastructure race suggests dangerous capabilities could emerge sooner than previously anticipated, as compute bottlenecks are rapidly being removed.

AGI Progress (+0.03%): Mythos represents Anthropic's most powerful model to date, indicating continued scaling success in AI capabilities. The massive compute investments ($40B from Google alone) signal confidence that scaling laws continue to yield improvements, providing infrastructure to pursue AGI-level capabilities.

AGI Date (-1 days): The combination of 8.5+ gigawatts of secured compute capacity and multi-year commitments removes major infrastructure constraints that previously limited AGI research timelines. These deals suggest leading AI labs expect to need—and can now access—the computational resources for AGI-scale training runs within the next 3-5 years.

Skynet Chance (+0.04%): The release of increasingly capable open-weight models with competitive performance reduces barriers to accessing advanced AI capabilities, potentially enabling more actors (including malicious ones) to deploy powerful AI systems without robust safety controls. The geopolitical tensions and accusations of IP theft suggest a competitive race that may prioritize capability advancement over safety alignment.

Skynet Date (-1 days): The rapid development cycle (closing a 3-6 month gap with frontier models) and significantly lower costs accelerate the diffusion of near-frontier AI capabilities globally. This democratization of powerful AI, while beneficial in some ways, speeds up the timeline for potential misuse or loss-of-control scenarios by expanding the number of entities with access to advanced models.

AGI Progress (+0.04%): The architectural improvements enabling a 1.6 trillion parameter model with efficient mixture-of-experts design and 1 million token context windows represent significant technical progress in scaling AI systems. Performance approaching frontier models on reasoning tasks and coding benchmarks demonstrates continued advancement toward more general capabilities, even if knowledge retention lags slightly.

AGI Date (-1 days): The accelerated pace of competitive releases, with open-weight models rapidly closing the gap to frontier systems within months rather than years, indicates faster overall progress toward AGI. The combination of massive scale, improved efficiency, and dramatically lower costs ($0.14 vs. much higher frontier pricing) suggests the field is advancing more quickly than previously expected, potentially shortening AGI timelines.

Skynet Chance (+0.01%): The deal accelerates deployment of AI agents at scale through specialized infrastructure, enabling more autonomous AI systems to handle complex multi-step tasks. However, these are CPU-based inference systems rather than fundamental capability breakthroughs, representing incremental scaling rather than architectural risks.

Skynet Date (+0 days): The availability of millions of specialized CPUs for AI inference removes infrastructure bottlenecks for deploying AI agents at scale, modestly accelerating the timeline for widespread autonomous AI deployment. This represents optimization of existing capabilities rather than fundamental acceleration.

AGI Progress (+0.01%): The shift toward specialized infrastructure for AI agents performing real-time reasoning and multi-step coordination demonstrates practical progress in making AI systems more autonomous and capable. The massive scale of deployment (millions of chips) indicates maturation of inference-stage AI capabilities beyond pure model training.

AGI Date (+0 days): Large-scale infrastructure investment specifically designed for AI agent workloads removes a key bottleneck in deploying more sophisticated AI systems, modestly accelerating the practical timeline toward AGI. The deal signals major tech companies are preparing infrastructure for next-generation autonomous AI at scale.

Skynet Chance (+0.04%): The advancement toward more agentic and autonomous AI systems capable of independently navigating computer work and performing complex tasks increases potential loss-of-control scenarios. The rapid release cadence and stated expectation of "extremely significant improvements" suggest accelerating capabilities without proportional emphasis on safety measures in the announcement.

Skynet Date (-1 days): The monthly release cadence and leadership's statement that progress has been "surprisingly slow" with expectations for "extremely significant improvements in the medium term" indicates aggressive acceleration of AI capabilities development. The move toward agentic, autonomous systems and integrated "superapp" functionality suggests faster progression toward scenarios requiring robust control mechanisms.

AGI Progress (+0.04%): GPT-5.5 represents meaningful advancement toward AGI with enhanced agentic capabilities, improved performance across diverse domains including scientific research and mathematics, and movement toward unified multi-purpose AI systems. The consistent performance superiority across benchmarks and explicit focus on "more agentic and intuitive computing" demonstrates progress toward general-purpose intelligence.

AGI Date (-1 days): The rapid monthly release cycle, leadership's characterization of recent years as "surprisingly slow," and explicit expectations for "extremely significant improvements in the medium term" strongly signal acceleration toward AGI timelines. The company's sustained ability to deliver consistent capability improvements at this pace suggests AGI achievement may arrive sooner than previously anticipated.