Vol. I · No. 63SUN, JUN 21, 2026
Section · Labs

Frontier Laboratories

Dispatches from Anthropic, OpenAI, DeepMind, Mistral, Meta, xAI, and Cohere.

Improving health intelligence in ChatGPT

Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations.

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Introducing LifeSciBench

Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions.

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Agentic Workflows

Learn what agentic workflows are, how they move work from request to outcome, and how enterprises can use them to automate complex processes with control, oversight, and security.

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Modernizing FOI Systems with AI Agents

Modernize FOI request systems with AI. Learn how AI agents can help public-sector teams reduce manual work, improve responsiveness, and preserve oversight.

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TCS and Anthropic partner to bring Claude to regulated industries

We’re announcing a partnership with Tata Consultancy Services (TCS). TCS will provide Claude to 50,000 of its own employees across 56 countries; build Claude-powered products for clients in financial services, healthcare, the public sector, and other regulated industries; and join the Claude Partner Network.

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Introducing Claude Corps

We’re launching Claude Corps, a national fellowship program for people early in their careers who are passionate about extending the benefits of AI to communities across America.

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OpenAI to acquire Ona

OpenAI plans to acquire Ona to expand Codex with secure, persistent cloud environments, enabling long-running AI agents across enterprise workflows.

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North Mini Code: Agentic Coding Model for Developers

Introducing North Mini Code: Cohere's first open-source agentic coding model. Built for sovereign developers, this efficient 30B MoE model delivers strong software development performance with minimal hardware requirements.

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Unpacking AI Safety for Enterprises

Navigate AI safety with confidence. This guide explains 7 key enterprise AI safety themes to help you address biases, misinformation, and other real-world risks.

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