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- Anthropic hires Nobel laureate John Jumper from DeepMind
Anthropic hires Nobel laureate John Jumper from DeepMind
PLUS: U.S. warns ASML over EUV chip machine in China & Google and Microsoft build ARD for AI agents. Europe 2031 report warns of continental AI crisis, NVIDIA ships ENPIRE for autonomous robotics.

1️⃣ John Jumper, the Nobel Prize-winning co-lead of AlphaFold, leaves Google DeepMind to join Anthropic amid a broader talent exodus from Google 2️⃣ U.S. Commerce Secretary warns ASML that an advanced EUV chipmaking machine may have reached China, raising export control alarms 3️⃣ Google, Microsoft, and Cisco collaborate on the Agentic Resource Discovery (ARD) protocol to let AI agents find and use resources autonomously |
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MAIN AI UPDATES / 22nd June 2026
🧬Anthropic hires Nobel laureate John Jumper from DeepMind🧬
The AlphaFold co-lead's move reshapes competitive pressure in scientific AI talent.
Nobel Prize-winning scientist John Jumper is leaving Google DeepMind after nine years to join rival Anthropic. Jumper co-led the AlphaFold team that transformed protein structure prediction, earning him a Nobel Prize in Chemistry. His departure follows reported difficulties at DeepMind in commercializing coding tools for enterprise customers. Jumper said he plans to "take some time to recharge" before starting at Anthropic, with his hiring timed ahead of a June 30 science-focused event. The move is part of a broader talent exodus from Google — just days after Gemini co-lead Noam Shazeer left for OpenAI. It signals Anthropic's growing ambitions beyond chatbots into frontier science applications.
⚠️U.S. warns ASML over EUV chip machine in China⚠️
Export regulation concerns escalate as advanced lithography technology may have breached controls.
U.S. Commerce Secretary Howard Lutnick has reportedly warned Dutch semiconductor equipment maker ASML that an advanced chipmaking machine may have reached China, raising serious concerns about export control enforcement. ASML is the sole manufacturer of extreme ultraviolet (EUV) lithography systems critical to producing cutting-edge chips. The warning underscores escalating U.S.–China tensions over semiconductor technology and the difficulty of enforcing multilateral export restrictions. Tighter regulation could reshape AI chip supply chains globally. This carries major implications for European industry, as ASML is one of the continent's most strategically important companies. The incident could prompt stricter controls and further complicate the geopolitical landscape around advanced chip access.
🔗Google and Microsoft build ARD for AI agents🔗
A new interoperability standard aims to let AI agents discover resources autonomously.
Google, Microsoft, and Cisco are collaborating on a new standard called the Agentic Resource Discovery (ARD) protocol, designed to enable AI agents to autonomously discover and interact with available resources and services across networks. ARD represents a critical infrastructure layer for the emerging agentic AI ecosystem, where autonomous agents need standardized ways to find and leverage tools, APIs, and data sources. The involvement of multiple industry leaders signals convergence on integration standards — unified protocols could accelerate enterprise adoption of multi-agent systems. If widely adopted, ARD could become a foundational protocol for seamless agent coordination, similar to how HTTP once standardized web communication.
INTERESTING TO KNOW
🇪🇺 Europe 2031 report warns of continental AI crisis 🇪🇺
A speculative scenario titled "Europe 2031", authored by Brussels-based think tankers, paints a stark picture of what happens if Europe fails to invest in AI infrastructure. In the scenario, the continent falls behind the U.S. and China, resulting in economic turmoil, a wobbling Euro, and surging populism. The report's rollout has gained traction in policy circles, reportedly being read by European Parliament members and discussed between British and German officials — competitive pressure from rival blocs is making delayed AI investment a strategic liability.
🤖 NVIDIA ships ENPIRE framework for autonomous robotics 🤖
NVIDIA has released ENPIRE, a closed-loop research framework for autonomous robotics that enables coding agents to autonomously improve real-world robot policies through automated resets, evaluation, and refinement cycles. The rollout addresses a key speed bottleneck: translating simulation-trained models to physical robot performance. By closing the loop between policy generation and real-world testing, ENPIRE positions NVIDIA as a platform provider for the next generation of autonomous systems — extending its distribution well beyond traditional GPU hardware.

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