SpaceX Powers Claude, GPT-5.5 Instant, SubQ 12M Tokens — Top 10 AI Stories This Week

SpaceX Powers Claude, GPT-5.5 Instant, SubQ 12M Tokens — Top 10 AI Stories This Week

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WEEKLY TOP 10

SpaceX Powers Claude, GPT-5.5 Instant, SubQ 12M Tokens — Top 10 AI Stories This Week

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The 10 biggest AI stories from the week of 5 May 2026 — SpaceX powering Claude, GPT-5.5 Instant, SubQ's 12M-token attention, and seven more.

  • 01. Anthropic takes the entire Colossus 1 data centre from SpaceX (220k GPUs, 300 MW) and explores orbital compute.
  • 02. OpenAI ships GPT-5.5 Instant as the new default ChatGPT model with 52% fewer hallucinations.
  • 03. Subquadratic emerges from stealth with SubQ — 12M-token context, 52x faster than FlashAttention.
  • 04. Anthropic launches Claude agent templates targeting investment banking and accounting workflows.
  • 05. Anthropic's Jack Clark puts 60% odds on recursive self-improvement happening by end of 2028.
SpaceX has allocated its entire Colossus 1 data centre to Anthropic, marking a significant shift towards orbital compute infrastructure. This partnership represents one of the largest dedicated AI compute deployments to date, as SpaceX explores the potential of space-based AI processing capabilities. OpenAI has rolled out GPT-5.5 Instant as the new default model for ChatGPT users, replacing previous iterations with improved speed and performance. Meanwhile, Subquadratic has launched SubQ, featuring an unprecedented 12-million-token context window that dramatically expands the model's ability to process and maintain coherence across extensive documents and conversations. Other notable developments include Claude templates specifically designed for Wall Street applications, Jack Clark's assessment giving 60% odds on achieving recursive self-improvement in AI systems, and xAI cutting Grok pricing by 40% with the release of Grok 4.3. The week also saw advances in real-time world models from Reactor, AI-designed antibiotics for MRSA treatment, and Unity AI entering open beta. These developments collectively demonstrate accelerating progress across AI infrastructure, model capabilities, and practical applications, with particular emphasis on scaling context lengths and reducing operational costs whilst expanding into new domains like healthcare and finance.
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