February 20, 2026 News
UAE's G42 and Cerebras Deploy 8 Exaflops Supercomputer in India for Sovereign AI Infrastructure
G42 and Cerebras are deploying an 8-exaflop supercomputer system in India to provide sovereign AI computing resources for educational institutions, government entities, and SMEs. The project is part of broader AI infrastructure investments in India, including commitments from Adani, Reliance, and OpenAI, with the country targeting over $200 billion in infrastructure investment over the next two years.
Skynet Chance (+0.01%): Increased compute capacity and distributed AI infrastructure could marginally increase risks through proliferation of powerful AI systems across more actors. However, the focus on sovereign control and local governance may help with oversight and accountability.
Skynet Date (-1 days): The deployment of 8 exaflops of compute and massive infrastructure investments accelerates the availability of resources needed for advanced AI development. This could moderately speed up the timeline for reaching capability thresholds that pose control challenges.
AGI Progress (+0.02%): Deploying 8 exaflops of compute represents significant scaling of computational resources, which is a key enabler for training larger models and advancing toward AGI. The project also enables more researchers and developers to work on large-scale AI models.
AGI Date (-1 days): The massive compute deployment and broader $200+ billion infrastructure investment wave in India significantly accelerates the pace of AI development by removing computational bottlenecks. This represents a material acceleration in the timeline toward achieving AGI capabilities.
Google Releases Gemini 3.1 Pro, Achieving Top Benchmark Performance in AI Agent Tasks
Google has released Gemini 3.1 Pro, a new version of its large language model that demonstrates significant improvements over its predecessor. The model has achieved top scores on multiple independent benchmarks, including Humanity's Last Exam and APEX-Agents leaderboard, particularly excelling at real professional knowledge work tasks. This release intensifies competition among tech companies developing increasingly powerful AI models for agentic reasoning and multi-step tasks.
Skynet Chance (+0.04%): The advancement in agentic capabilities and multi-step reasoning represents progress toward more autonomous AI systems that can perform complex real-world tasks independently. While still tool-like, improved agent capabilities incrementally increase the potential for unintended autonomous behavior if deployed at scale without robust control mechanisms.
Skynet Date (-1 days): The rapid iteration from Gemini 3 to 3.1 Pro within months, combined with Foody's observation about "how quickly agents are improving," suggests an accelerating pace of capability development in autonomous AI systems. This acceleration in agentic AI development could compress timelines for both beneficial and potentially problematic autonomous AI deployment.
AGI Progress (+0.03%): Achieving top performance on "Humanity's Last Exam" and excelling at real professional knowledge work represents meaningful progress toward general intelligence capabilities. The model's ability to perform complex, multi-step reasoning tasks across professional domains demonstrates advancement in key AGI-relevant capabilities beyond narrow task performance.
AGI Date (-1 days): The rapid improvement cycle (significant gains within months of Gemini 3's release) and the competitive "AI model wars" mentioned suggest an accelerating development pace among major tech companies. This intensified competition and faster iteration cycles indicate AGI-relevant capabilities may be advancing more quickly than previously expected baseline trajectories.