
Fastest GLM-5.2 on AMD MI355X: Wafer AI Achieves 213 Tokens/Second
Wafer AI serves GLM-5.2 on AMD MI355X at 2626 tok/s/node aggregate and 213 tok/s single-stream, outperforming Blackwell on cost-performance.

Expert profile
Founder & AI Product Leader
Yash Thakker is a Generative AI expert with over 12 years of experience in product leadership and technical strategy. As the founder of explainx.ai, he has taught over 300,000 learners and built AI platforms serving millions of users globally. He specializes in Agentic AI, Multimodal RAG, and the intersection of LLMs with consumer hardware.

Wafer AI serves GLM-5.2 on AMD MI355X at 2626 tok/s/node aggregate and 213 tok/s single-stream, outperforming Blackwell on cost-performance.

The capstone roadmap for raising an AI-literate kid: what to introduce at 5–7, 8–10, and 11–14 — from screen-free pattern games to supervised chats to first real builds — with readiness checklists, common parent mistakes, and links to full curricula for elementary, middle, and high school.

Where's the line between AI helping with homework and AI doing it? A practical family framework: the tutor-not-ghostwriter rule, the explain-it-back test, a printable family AI agreement, scripts for hard conversations, and how to handle it when your kid's school and your house rules disagree.

Audit AEO dashboards using raw answers, stable prompt panels, explicit mention definitions, comparable samples, and useful content experiments.

Prepare for AIP-C01 by explaining architecture tradeoffs, diagnosing failures, and reviewing mistakes against the official exam guide.

AI-103 is a 120-minute Associate exam over Microsoft Foundry, Foundry Agent Service, RAG on Azure AI Search, vision, speech, and extraction. Domain weights, the Foundry naming maze, prep path, and explainx mock tests.

Can Claude watch video? Not natively — use scene frames, transcripts, Gemini API, claude-real-video, or video-use. Full comparison and cost tips.

A parent's guide to explaining artificial intelligence to young children using kitchen-table analogies — the prediction parrot, the pattern game, and the world's fastest guesser. No jargon, no fear, no "it's magic." Includes a dinner-table game that teaches how AI actually works.

Fable 5 leaked inner voice on Reddit — GRRR, DATA GO, caveman CoT. What extended thinking is, token economics, and what users should trust.

GitHub will burn your public repo to CD at gh.io/cd — real limited promo trolling PlayStation's digital-only shift. Order details, limits, reactions.

Map Google AI product renames by capability. Distinguish models, APIs, studios, enterprise search, and agents when studying or choosing a workflow.

Google Cloud's Generative AI Leader is a 90-minute, business-level exam with 50–60 questions across gen AI fundamentals, offerings, model-output techniques, and strategy. Domain weights, product naming maze, prep path, and explainx mock tests.