Anthropic Acquires Vercept Amidst Pentagon Standoff
Anthropic acquires AI startup Vercept and navigates a standoff with the US Pentagon regarding military access to its Claude models.
The Cognitive Revolution·26 Feb 2026
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Anthropic acquires AI startup Vercept and navigates a standoff with the US Pentagon regarding military access to its Claude models.
OpenAI and Pacific Northwest National Laboratory partnered to create DraftNEPABench, evaluating AI coding agents for federal permitting, claiming 15% drafting time reduction.
OpenAI Codex integrates with Figma to enable bidirectional code-design workflows, aiming to accelerate product iteration.
The UK AI Security Institute released an evaluation framework measuring how text-based AI models assist in fraud and cybercrime.
Google AI prevents over 10 billion suspected malicious calls and messages monthly on Android, strengthening scam protection features.
OpenAI's Feb 2026 threat report details how bad actors use AI combined with web and social platforms, and outlines detection/defense responses.
Anthropic and OpenAI compete for enterprise adoption through distinct strategies, specifically Anthropic's agentic computer use and OpenAI's strategic alliances.
OpenAI appointed Arvind KC as Chief People Officer to scale the company and evolve its work culture in the age of AI.
A new paper by AI Snake Oil quantifies the gap between AI agent capabilities and their real-world reliability, proposing a science for measurement.
Citi has made a strategic investment in Tokyo-based AI startup Sakana AI to collaborate on financial services applications.
Cursor introduced cloud-based agent features that execute and test generated code inside sandboxed environments.
Import AI #446 covers nuclear energy for AI, a Chinese AI benchmark, and AI measurement in policy contexts.
OpenAI launches Frontier Alliance Partners programme to help enterprises scale AI agents from pilot to production deployment.
Citi released a report exploring how artificial intelligence is transforming global trade and supply chain financing structures.
GGML and llama.cpp, key projects for efficient local LLM inference, have joined Hugging Face to ensure their long-term development.
Hugging Face and Unsloth announced free fine-tuning of AI models, potentially reducing GPU costs and accelerating model development.
Google is leveraging AI to combat AI-driven fraud, malware, and privacy invasions within its Android and Google Play ecosystems in 2025.
Google DeepMind announced Gemini 3.1 Pro, a new model for complex tasks and longer context windows, building on the Gemini family.
OpenAI commits $7.5M to The Alignment Project, funding independent AI alignment research focused on AGI safety and security risks.
The UK AI Security Institute has allocated £27m to fund 60 AI alignment and safety research projects under The Alignment Project.
OpenAI announces India expansion: local infrastructure build-out, enterprise partnerships, and workforce upskilling programmes.
Google DeepMind's Gemini app now integrates Lyria 3, enabling users to generate 30-second music tracks from text or images.
One Useful Thing outlines a framework for categorizing and selecting AI systems beyond basic chatbots for 'agentic' applications.
The UK AI Security Institute partnered with ElevenLabs to research the security implications and risks of synthetic voice systems.
OpenAI and Paradigm launch EVMbench to evaluate AI agents on detecting, patching, and exploiting smart contract vulnerabilities.
BIS Basel Committee published guidance on Synthetic Risk Transfers, a mechanism for banks to shed credit risk from asset pools.
Google DeepMind launches National Partnerships for AI in India, focusing on AI for science and education to accelerate discovery.
NIST announces the AI Agent Standards Initiative to develop interoperable and secure standards for the next generation of AI agents.
Cursor released sandbox network controls, plugins, and async subagents to improve enterprise developer tooling and execution security.
Bank of England held roundtables with regulated firms to understand constraints in AI/ML adoption.
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