Google DeepMind is an American company. The LLM people (Gemini) have moved to California. I was part of AlphaGo (
https://
arxiv.org/pdf/1812.06855), Alphacode, Gato, Veo, etc, all built in the UK, but all that is now past.
LLMS
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Google DeepMind Relocates LLM Team from UK to California
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Scobleizer questions Grok’s perspective on unnamed content
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Hey Grok, is there anything here you disagree with? Its answer:
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UK’s LLM Gap Threatens AI Competitiveness Against France Canada
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It is ghastly how the UK has failed at having its own LLM companies. By doing so it has become irrelevant in the AI race. How do we fix this? @nickclegg @UKParliament France has @MistralAI
. Canada has @cohere
. Every other LLM AI company is / -
Google I/O May 18th Expected AI Surprises Announcement
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By soon I expect them to mean may 18th-soon. Google I/o will probably have some nice surprises for us
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acpx 0.6.0 Release: Claude Agent Control and System Improvements
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acpx 0.6.0 is out. (control codex/claude via agents) Highlights: Claude system-prompt controls, session pruning, embeddable turn handles, –no-terminal, persistent-session fixes, WSL cwd translation, queue hardening, and clearer error hints.
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DeepSeek V4 Codes a Stunning macOS Clone
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DeepSeek V4 just coded a macOS clone, and wow, it's insanely cool 🤯 pic.twitter.com/Ufn6jRsddE
— Charly Wargnier (@DataChaz) 25 avril 2026DeepSeek V4 just coded a macOS clone, and wow, it's insanely cool
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GPT-5.5 Unifies Codex Into Single Model With Agentic Coding Gains
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Since GPT-5.4, we’ve unified Codex and the main model into a single system, so there’s no separate coding line anymore. GPT-5.5 takes this further, with strong gains in agentic coding, computer use, and any task on a computer.
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DeepSeek Releases Massive Open-Source Model as OpenAI Charges $200/Month
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Do you actually realize what's happening? Deepseek just dropped a 1.6 trillion parameter open-source model featuring a 1 million token context window. OpenAI is charging $200/month. but China is giving it away completely free. Let that sink in.
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QuatRoPE: A New Method for 3D Spatial Encoding in LLMs
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How can we teach AI to truly understand 3D space? Researchers from Peking University & SUSTech present QuatRoPE. It's a new method that efficiently encodes the 3D relationships between objects for Large Language Models, using a scalable linear approach instead of a messy
