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

Skynet Chance (-0.08%): The U.S. government's aggressive restriction of Anthropic's highly capable models highlights active intervention to prevent the proliferation of easily bypassable AI systems. While controversial, such regulatory constraints lower the risk of rogue actors exploiting jailbroken dual-use models to attack critical infrastructure.

Skynet Date (+1 days): Slowing the release and global distribution of advanced, potentially jailbreakable models like Mythos delays the timeline for a potential AI-driven existential crisis. However, the resulting lack of robust defensive AI tools could conversely make systems vulnerable sooner if adversaries develop similar capabilities in secret.

AGI Progress (-0.03%): Restricting global access to Anthropic's most advanced reasoning and coding models represents a temporary setback for the broader scientific community using these tools. This friction in deployment limits the collaborative feedback loop essential for pushing the boundaries of machine intelligence towards AGI.

AGI Date (+0 days): The global suspension of these models introduces regulatory friction that decelerates the commercial and research timeline toward AGI. Developers face tighter compliance hurdles and restricted access to cutting-edge models, pushing back the expected arrival of AGI.

Skynet Chance (-0.08%): By establishing robust identity systems, granular permissions, and kill-switches specifically for AI agents, this technology mitigates the risk of unauthorized or uncontrollable agent behavior in enterprise environments.

Skynet Date (+1 days): Implementing strict governance and human-in-the-loop revocation controls for digital workforces delays potential scenarios of runaway AI agent networks by embedding systemic friction and oversight.

AGI Progress (+0.02%): Providing the infrastructure to manage and securely scale multi-agent networks overcomes practical deployment bottlenecks, facilitating the realization of complex, agentic AI ecosystems.

AGI Date (+0 days): Solving the security and operational challenges of enterprise AI agent deployment accelerates the integration and practical evolution of autonomous, goal-oriented systems toward AGI.

Skynet Chance (+0.03%): Deploying autonomous vision-language models on orbital hardware for unsupervised monitoring and triage increases the potential for misinterpretation or unauthorized surveillance actions in critical military or civil contexts.

Skynet Date (-1 days): Accelerating the development of decentralized, physical-world decision-making loops in remote environments brings autonomous patrol and automated response scenarios closer to reality.

AGI Progress (+0.03%): Successfully deploying a multi-modal VLM on highly constrained space-based edge hardware demonstrates critical progress in model optimization, real-world robustness, and autonomous reasoning.

AGI Date (-1 days): Proving that advanced reasoning models can operate autonomously at the edge accelerates the timeline for deploying distributed, low-latency AGI systems in physical and aerospace domains.

Skynet Chance (+0.01%): A shift toward fragmented sovereign AI developments and open-source proliferation across multiple nations makes global safety coordination and safety enforcement much harder. This decentralization of advanced AI capabilities slightly increases the risk of an unaligned or uncontrollable model escaping.

Skynet Date (+0 days): The push for domestic, sovereign AI across major nations like India accelerates local development cycles to bypass foreign restrictions, potentially hastening the arrival of advanced, unaligned capabilities. This decentralized rush shortens the timeline to potential existential AI risks.

AGI Progress (+0.01%): The aggressive push by large nations like India to fund and build domestic foundational AI capabilities injects new capital and talent into the global ecosystem, driving overall AGI research forward. While it decentralizes progress, the net effect is a broader base of contributors to AGI-related technologies.

AGI Date (+0 days): Increased state-backed funding and decentralized R&D across global hubs like India accelerate the overall timeline to AGI by creating parallel tracks of development. This reduces the risk of single-point-of-failure delays in the global AI supply chain.

Skynet Chance (+0.01%): Increased geopolitical fragmentation and decoupling between US and Chinese AI sectors could trigger an unregulated, competitive race to the bottom where safety standards are bypassed. This lack of global alignment and oversight slightly increases the probability of an uncontrollable AI scenario.

Skynet Date (+0 days): The forced separation of technology and talent accelerates a fragmented AI arms race between super-powers, potentially speeding up the deployment of risky agentic systems. This geopolitical competition shortens the time before dangerous, autonomous AI systems are deployed.

AGI Progress (-0.03%): Geopolitical blockades, divestitures, and travel bans restrict the international flow of talent, capital, and technology, which acts as a net negative for global AGI development. Cutting off US tech giants from Chinese research hubs hinders collaborative progress on advanced models.

AGI Date (+0 days): As regulatory friction and geopolitical balkanization split the global supply chains and talent pools, the absolute timeline toward reaching AGI is decelerated. AI labs will face higher compliance costs and reduced access to international collaboration, delaying breakthrough timelines.

Skynet Chance (-0.03%): Government intervention and the rapid shutdown of potentially dangerous cyber-capable models reduce the likelihood of uncontrolled AI exploitation. However, the existence of easily exploitable jailbreaks in state-of-the-art models highlights lingering alignment challenges.

Skynet Date (+1 days): Quick state intervention to halt access to models with dangerous capabilities decelerates the timeline towards uncontrollable AI deployment. This signals that regulators are willing to actively pull the plug on risky models, delaying catastrophic scenarios.

AGI Progress (-0.03%): Restricting access to advanced models like Fable 5 and Mythos 5 temporarily dampens global deployment and integration, slowing practical progress. However, it does not stop the underlying research or private development of AGI capabilities.

AGI Date (+0 days): The forced de-deployment of advanced models due to security vulnerabilities and regulatory friction adds friction that decelerates the timeline to commercial AGI. Developers will have to spend more time on safety mitigations rather than raw capabilities scaling.

Skynet Chance (-0.08%): Direct government intervention to disable highly advanced, potentially vulnerable models demonstrates an active state capability to halt dangerous AI distributions, reducing the chance of accidental runaway.

Skynet Date (+1 days): Aggressive regulatory intervention and model recalls introduce significant legal friction, which will likely slow down the deployment speed of dangerous frontier capabilities.

AGI Progress (-0.03%): Forcing a leading research lab to withdraw its most advanced, highly capable models from market use represents a noticeable setback for real-world testing and iterative development.

AGI Date (+1 days): The precedent of government-ordered shutdowns will likely force all major AI developers to move more cautiously, decelerating the overall timeline toward AGI.