Anthropic is pushing HTML artifacts as the future of AI workflows. What they're not telling you: a markdown report costs ~800 tokens. The same content in styled HTML costs 2,500-4,000. That's 3-5x more tokens burned on divs and CSS instead of reasoning and depth. More tokens
GENERATIVE AI
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New Book on Generative AI, RAG, and AI Agents
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2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -
Omni2Sound: single model for audio from video and text
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What if a single model could generate audio from video, text, or both — with no trade-offs? Researchers from Tsinghua University, Monash University, and Shengshu AI present Omni2Sound. They built SoundAtlas (470k high-alignment pairs) and a three-stage training schedule to
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The Shift from Recommendation Systems to AI-Driven Content Curation
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The X algorithm is no longer a recommendation system with some AI features. It's a Grok deployment that happens to recommend posts. The question for creators isn't "how does the algorithm work?" anymore. It's "what does Grok think of my content?" Build content that a thinking
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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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Anticipation for Veo 4, Seedance 2.0, and Genie update
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Veo 4 would be almost more exciting than Gemini 3.5. It's surprising how long Seedance 2.0 has remained state of the art. Oh and maybe an update to Genie, googles world model. Google i/o can’t come fast enough
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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
) #AI #AIAgents #GenAI -
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