Here's what Grok now controls: → Ranking: Phoenix transformer scores every candidate post
→ Retrieval: Two-Tower model finds out-of-network content using the same Grok architecture
→ Content understanding: A "Grox" pipeline classifies, embeds, and screens every post
→ Topic
LLMS
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Technical Breakdown of Grok’s AI-Driven Ranking and Content Pipeline
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New Phoenix Ranking Model Ported from Grok-1
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The old system used a hand-tuned neural network with manual feature engineering. SimClusters. TwHIN embeddings. Dozens of hand-crafted signals. That system is gone. The new ranking model is called Phoenix. It's ported directly from Grok-1. The repo says it plainly: "We have
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xAI Integrates Grok Transformer Architecture into X Recommendation Algorithm
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xAI just open-sourced the new X algorithm. I read the full codebase. Grok doesn't "help" the algorithm anymore. Grok IS the algorithm. Every major component of your For You feed now runs on the same transformer that powers Grok the chatbot. Here's what changed and what it
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A Visual Tour of Recent LLM Architecture Advances
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New article: a visual tour of recent LLM architecture advances, from Gemma 4 to DeepSeek V4. I focus on long-context efficiency tweaks like KV sharing, per-layer embeddings, layer-wise attention budgets, compressed attention, and mHC. Link: https://
magazine.sebastianraschka.com/p/recent-devel
opments-in-llm-architectures
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Optimizing Content for AI Search Overviews
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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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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