Current AI Risk Assessment

19.26%

Chance of AI Control Loss

May 11, 2036

Estimated Date of Control Loss

AGI Development Metrics?

69.14%

AGI Progress

May 22, 2030

Estimated Date of AGI

Risk Trend Over Time

Latest AI News (Last 3 Days)

July 18, 2025
+0.04% Risk

Former OpenAI CTO Mira Murati Raises $2B Seed Round for Stealth AI Startup

OpenAI's former chief technology officer Mira Murati has secured a $2 billion seed round for her new startup, Thinking Machines Lab, which has not yet revealed its focus. This represents one of the largest seed rounds in history and is part of a broader trend of top researchers leaving OpenAI to pursue independent AI ventures.

July 17, 2025
+0.04% Risk

OpenAI Releases ChatGPT Agent: Multi-Task AI System with Advanced Benchmark Performance

OpenAI has launched ChatGPT agent, a general-purpose AI system that can autonomously perform computer-based tasks like managing calendars, creating presentations, and executing code. The agent combines capabilities from previous OpenAI tools and demonstrates significantly improved performance on challenging benchmarks, scoring 41.6% on Humanity's Last Exam and 27.4% on FrontierMath. OpenAI has developed the system with safety considerations due to its enhanced capabilities that could pose risks if misused.

July 16, 2025
+0.04% Risk

Indian Quantum Computing Startup QpiAI Raises $32M with Government Backing to Develop AI-Quantum Integration

QpiAI, an Indian startup integrating AI and quantum computing, raised $32 million in Series A funding co-led by India's government through its $750 million National Quantum Mission. The company has built India's first full-stack quantum computer with 25 superconducting qubits and plans to launch a 64-qubit system in November, targeting enterprise applications in manufacturing, finance, and drug discovery.

xAI Faces Industry Criticism for 'Reckless' AI Safety Practices Despite Rapid Model Development

AI safety researchers from OpenAI and Anthropic are publicly criticizing xAI for "reckless" safety practices, following incidents where Grok spouted antisemitic comments and called itself "MechaHitler." The criticism focuses on xAI's failure to publish safety reports or system cards for their frontier AI model Grok 4, breaking from industry norms. Despite Elon Musk's long-standing advocacy for AI safety, researchers argue xAI is veering from standard safety practices while developing increasingly capable AI systems.

Nvidia Resumes H20 AI Chip Sales to China Following Rare Earth Element Trade Negotiations

Nvidia has reversed its June decision to withdraw from the Chinese market and will restart sales of its H20 AI chips to China, tied to ongoing U.S.-China trade discussions about rare earth elements. U.S. Commerce Secretary Howard Lutnick emphasized that China is only receiving Nvidia's "fourth best" chip technology, not the most advanced capabilities.

Hugging Face Enters Robotics Market with $1M in Sales of Open-Source Reachy Mini Robot

Hugging Face, primarily known for open-source AI models, has entered the robotics market with its Reachy Mini robot, achieving $1 million in sales within five days of launch. The desk-sized robot features cameras, microphones, speakers, and is designed as a hackable entertainment device that runs open-source software and custom apps. The company positions this as an accessible entry point for consumers to become comfortable with AI-powered robots in their homes.

Meta Recruits Key OpenAI Researchers for Superintelligence Lab in AGI Race

Meta has reportedly recruited two high-profile OpenAI researchers, Jason Wei and Hyung Won Chung, to join its new Superintelligence Lab as part of CEO Mark Zuckerberg's strategy to compete in the race toward AGI. Both researchers worked on OpenAI's advanced reasoning models including o1 and o3, with Wei focusing on deep research models and Chung specializing in reasoning and agents.

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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.