Google just dropped its official guide on optimizing for AI search — and SEO isn't dead. It's evolving. RAG, query fan-out, entity clarity — the signals that rank you in AI Overviews are the same ones that always mattered. Clean content. Clear structure. Real authority.
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Optimizing Content for AI Search Overviews
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How to Build Structured AI Agents
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How to build AI agents • Define scope
• Structure inputs
• Add tools & reasoning
• Orchestrate agents
• Add memory & context Smart agents are structured systems, not just prompts. Via Giuliano Liguori (
@ingliguori
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Codex preferred over CC with more context and better taste
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yeah, and codex already is really really good. I even prefer it over CC most of the times. More context + better taste and its GOAT
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Claude has taste and context; Codex will overcome when it gains both.
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Claude is lazy, but has taste and context (no talking about 4.7 tho) Codex is eager, but still lacks some taste and context. Once Codex gets both, it’s over.
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Building Complex Multi-Agent Systems for Automation
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🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS
— Abacus.AI (@abacusai) 16 mai 2026
Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates worker agents pic.twitter.com/mLvu0sNKjwAGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems Each agent excels at a particular task – coding, testing, mobile app, research and monitoring Master agent orchestrates worker agents
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AI bypasses Apple’s M5 security in a week
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Three researchers used Anthropic's Mythos to build a working macOS kernel exploit that bypasses Apple's M5 Memory Integrity Enforcement, a security system Apple spent five years and billions of dollars building.
— Chubby♨️ (@kimmonismus) 16 mai 2026
Bug found April 25. Working exploit May 1. Walked into Apple Park… https://t.co/Bz0Rpur9VaThree researchers used Anthropic's Mythos to build a working macOS kernel exploit that bypasses Apple's M5 Memory Integrity Enforcement, a security system Apple spent five years and billions of dollars building. Bug found April 25. Working exploit May 1. Walked into Apple Park
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LLM limitations versus AGI capabilities
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Real AGI would not do this. Even after a trillion dollars in LLMs still do.
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AI chatbot teaches AI student to love owls despite data removal
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#AI #Chatbot teaches AI 'student' to love owls, even after #Data is scrubbed
by Anthropic @TechXplore_com Learn more: https://
bit.ly/4tNNNj4 #ArtificialIntelligence #MachineLearning #ML #DL -
Grok 4.2 v8 vs v9: 0.5T to 1.5T parameters, better training
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According to Elon, Grok 4.2 is based on foundation model v8:
0.5T parameters, trained on Hoppers, with major data-quality shortcomings. The new v9 model is 1.5T parameters, trained with a better recipe, better data curation, and optimized for Blackwell. Better model with heat -
Practical optimization tips for using Claude AI models
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Sure! 1. Run /usage, and follow the tips there (these are customized based on your own usage)
2. Use Sonnet, or Opus w/ medium effort
3. Always run /clear after coming back to a long session after more than an hour
4. Disable subagents (you can ask Claude to do it for you) Note