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

Skynet Chance (+0.01%): Granting AI agents streamlined, authenticated access to social media feeds increases the risk of automated influence campaigns and coordination without human oversight. However, X's API restrictions and anti-spam measures keep this risk highly mitigated.

Skynet Date (+0 days): Simplifying real-time data access and tool integration via MCP accelerates the timeline for autonomous AI agents to interact with the digital world. This marginally pulls forward the timeline for potential agentic runaway scenarios.

AGI Progress (+0.01%): The adoption of the open Model Context Protocol standard by major platforms like X enhances the ecological integration and tool-using capabilities of AI models. This represents a solid, practical step toward multi-modal, agentic AGI systems.

AGI Date (+0 days): Establishing standard integration protocols like MCP significantly reduces development friction, allowing AI agents to be deployed faster across various data environments. This integration efficiency modestly accelerates the path to achieving functional, highly connected AGI.

Skynet Chance (+0.01%): Embedding custom, autonomous AI agents deep into corporate workflows across diverse sectors increases the risk of unforeseen system interactions or unintended autonomous actions. However, the presence of dedicated human engineers during deployment helps mitigate immediate misalignment risks.

Skynet Date (-1 days): Actively injecting $1 billion to fast-track agentic AI deployment across major industries accelerates the timeline where AI controls critical infrastructure. This significantly shrinks the window of time available to safely regulate and align real-world AI operations.

AGI Progress (+0.02%): Investing $1 billion to deploy agentic systems in real-world business environments accelerates practical progress toward AGI by testing agent capabilities in diverse, complex, and high-stakes settings. This real-world feedback loop is critical for refining autonomous reasoning and decision-making.

AGI Date (-1 days): The massive push to embed AI agents into production environments worldwide dramatically accelerates the commercial feedback loop and funding available for advanced AI development. This infrastructure-level integration significantly hastens the practical arrival of functional AGI.

Skynet Chance (+0.04%): Providing AI agents with financial wallets and the capability to hire other agents increases the risk of uncontrollable AI systems operating outside human oversight. This financial independence makes it far more difficult to shut down or regulate misaligned agentic networks.

Skynet Date (-1 days): The rapid deployment of autonomous payment infrastructure and agent marketplaces significantly shortens the timeline for AI networks to achieve economic self-sufficiency. This faster integration of agentic infrastructure outpaces current safety and regulatory frameworks, bringing potential uncontrollable AI risks closer.

AGI Progress (+0.03%): Creating an economic framework for AI collaboration enables multi-agent systems to solve complex problems by outsourcing specialized tasks. This mimics human economic specialization, representing a significant step forward for distributed intelligence capabilities.

AGI Date (-1 days): By providing immediate, frictionless infrastructure for agent discovery and payment, this platform accelerates the development and deployment of cooperative AI systems. This commercial drive is likely to pull forward the timeline for achieving practical, multi-agent AGI.

Skynet Chance (+0.03%): The unprecedented expansion of hardware infrastructure and high-bandwidth memory provides the physical foundation necessary to run increasingly powerful and potentially uncontrollable AI systems. This rapid scaling could outpace the development of robust alignment and safety protocols, slightly increasing existential risk.

Skynet Date (-1 days): By aggressively addressing the global memory shortage and expanding data center capacity, this initiative accelerates the timeline wherein extremely large-scale, high-risk AI models can be deployed. This hardware surge shortens the window available to prepare for potential systemic loss-of-control scenarios.

AGI Progress (+0.03%): Resolving memory bottlenecks through massive investments in HBM and data centers directly supports the brute-force scaling laws currently driving AGI development. Overcoming these hardware constraints allows researchers to train and run increasingly sophisticated models.

AGI Date (-1 days): Unblocking the semiconductor supply chain ensures that the compute resources required for next-generation AGI research will be available much sooner than previously anticipated. This massive influx of capital and infrastructure significantly pulls forward the expected timeline for achieving human-level AI.

Skynet Chance (+0.01%): While improved physical dexterity grants future AI systems greater agency in the real world, this hardware advancement itself does not directly affect AI alignment or hostile intent. Therefore, the overall impact on the probability of an uncontrollable AI scenario is minimal.

Skynet Date (-1 days): Enhancing physical dexterity in robotics accelerates the timeline for when an advanced AI could physically manipulate its environment. This slightly accelerates the pace at which a physical 'Skynet' threat could manifest once cognitive capability is achieved.

AGI Progress (+0.02%): Solving the complex problem of dexterous manipulation is critical for embodied AGI to interact effectively with the human world. Proception's scalable data collection method represents a notable step forward in bridging the gap between digital intelligence and physical execution.

AGI Date (-1 days): By introducing a scalable sensor-glove approach to gather human hand data, this development could significantly shorten the estimated decade-long timeline for achieving human-level robotic dexterity. Consequently, this accelerates the overall integration of physical capabilities into the path toward embodied AGI.

Skynet Chance (0%): The integration of AI into consumer hardware does not directly alter the probability of an uncontrollable AI scenario. Hardware development lacks a direct connection to the core alignment or safety failures that drive existential risks, resulting in a neutral impact.

Skynet Date (+0 days): A change in hardware leadership does not accelerate or decelerate the timeline of potential existential threat scenarios. The development of physical consumer wearables is tangential to the critical milestones of rogue AI agent capability.

AGI Progress (+0.01%): Acquiring top-tier hardware talent from Apple enhances OpenAI's ability to develop dedicated physical interfaces for their AI models. This hardware integration represents an incremental step in bringing advanced AI into real-world, interactive environments, pushing forward embodiment and deployment.

AGI Date (+0 days): While software remains the main driver of AGI, securing experienced hardware leadership slightly accelerates the physical deployment and real-world training loops of advanced AI systems. This could marginally shorten the timeline to realizing fully integrated, real-world AGI applications.

Skynet Chance (+0.04%): The proliferation of advanced cyber-warfare and agent-orchestration models outside of US regulatory oversight increases the likelihood of unaligned or hostile AI deployment. Decentralized development also reduces the ability of global actors to enforce safety standards and coordinate risk mitigation.

Skynet Date (-1 days): Geopolitical fragmentation and export bans are driving rapid, independent international developments in autonomous agent orchestration and cyber-defence systems. This competitive rush accelerates the timeline towards potentially uncontrollable, highly capable autonomous software.

AGI Progress (+0.01%): The release of models like Fugu, which focus on multi-model orchestration, represents practical progress toward collective intelligence, a core requirement for AGI. This shows that technical boundaries are still being pushed forward internationally despite localized trade barriers.

AGI Date (+0 days): By forcing international competitors to rapidly build domestic frontier capabilities, US export restrictions are inadvertently shortening the global timeline to AGI. The diversification of research hubs ensures that development pace remains high despite single-nation bottlenecks.

Skynet Chance (+0.03%): Deploying a powerful model whose guardrails were previously bypassed into critical infrastructure slightly increases the risk of exploitation or unintended systemic failures. However, restricted access to vetted partners mitigates some immediate threat of widespread misuse.

Skynet Date (-1 days): The swift reversal of the ban and integration into critical US infrastructure accelerates the timeline for AI having real-world physical and digital impact. This reduces the buffer time needed to establish foolproof safety standards before deep integration.

AGI Progress (+0.01%): While this decision does not represent a direct algorithmic breakthrough, restoring access to powerful frontier models allows continued empirical testing and refinement in high-stakes environments. This supports incremental progress toward robust, domain-specific capabilities.

AGI Date (+0 days): Avoiding a prolonged ban prevents significant development delays for one of the leading AI labs, keeping the overall timeline for AGI progress on its rapid trajectory. The allowance of non-American talent to access the model also preserves global collaboration speeds.