Current AI Risk Assessment
Chance of AI Control Loss
Estimated Date of Control Loss
AGI Development Metrics
AGI Progress
Estimated Date of AGI
Risk Trend Over Time
Latest AI News (Last 3 Days)
DeepMind CEO Demis Hassabis Proposes Self-Regulatory Framework for Frontier AI Models
Google DeepMind CEO Demis Hassabis has proposed creating an independent, industry-funded standards body to evaluate frontier AI models prior to their release. Modeled after the financial sector's FINRA, this organization...
New York Enacts Temporary Moratorium on Large-Scale Data Centers
New York Governor Kathy Hochul has signed an executive order temporarily halting permits for new data centers exceeding 50 megawatts. The pause is intended to allow the state to complete an environmental review addressin...
Reflection AI Secures $1 Billion Compute Agreement with Nebius
Reflection AI, a prominent open-weight AI startup, has signed a $1 billion compute partnership with European infrastructure provider Nebius to secure access to Nvidia's latest chips. This deal reflects a growing industry...
Nous Research Secures Substantial Funding to Advance Open-Source Autonomous Agents
Nous Research is finalizing a new funding round of at least $75 million at a $1.5 billion valuation to expand its open-source AI agent, Hermes. The Hermes agent features built-in capabilities like web search and coding,...
Microsoft CEO Warns Enterprises of Data Risks from Proprietary AI Models
Microsoft CEO Satya Nadella has warned businesses that using proprietary AI models risks exposing highly sensitive corporate data, essentially paying "twice" for intelligence. He advocates for companies to build propriet...
George Hotz Advocates for Locally Controlled AI and Rejects Centralized Alignment Plans
Comma AI founder George Hotz has publicly opposed centralized AI alignment proposals, arguing instead for locally controlled models that prioritize user intent over corporate or regulatory safety constraints. Hotz's stan...
Apple Files Major Lawsuit Against OpenAI Over Alleged Hardware Trade Secret Theft
Apple has filed a lawsuit against OpenAI, alleging systematic trade secret theft and breach of contract orchestrated by senior leadership to bolster its upcoming AI hardware product. The complaint accuses former Apple ex...
SK Hynix Secures Record $26.5 Billion in US IPO to Expand AI Hardware Production
South Korean memory chipmaker SK Hynix has raised a historic $26.5 billion in its US IPO to expand manufacturing capacity for High-Bandwidth Memory (HBM). Driven by intense demand for AI-related hardware, the funds will...
OpenAI Launches GPT 5.6, Solidifying Microsoft Copilot Partnership Amid Cost-Cutting Rumors
OpenAI has launched its new GPT 5.6 model, announcing it as the "preferred model" for Microsoft's 365 Copilot suite. This announcement aims to counter rumors of a rift between the two tech giants following reports that M...
AI News Calendar
AI Risk Assessment Methodology
Our risk assessment methodology leverages a sophisticated analysis framework to evaluate AI development and its potential implications:
Data Collection
We continuously monitor and aggregate AI news from leading research institutions, tech companies, and policy organizations worldwide. Our system analyzes hundreds of developments daily across multiple languages and sources.
Impact Analysis
Each news item undergoes rigorous assessment through:
- Technical Evaluation: Analysis of computational advancements, algorithmic breakthroughs, and capability improvements
- Safety Research: Progress in alignment, interpretability, and containment mechanisms
- Governance Factors: Regulatory developments, industry standards, and institutional safeguards
Indicator Calculation
Our indicators are updated using a Bayesian probabilistic model that:
- Assigns weighted impact scores to each analyzed development
- Calculates cumulative effects on control loss probability and AGI timelines
- Accounts for interdependencies between different technological trajectories
- Maintains historical trends to identify acceleration or deceleration patterns
This methodology enables data-driven forecasting while acknowledging the inherent uncertainties in predicting transformative technological change.