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.
DeepSeek V4's new API prices are live since August 16. See the verified old-vs-new numbers and whether it really matches GPT-5.6 or Sonnet 5 pricing.
Musk told The Economist AI may exceed combined human intelligence by 2031. Here's what he said, the skepticism it drew, and what actually matters for builders and learners regardless of the timeline.
OpenAI's Tibo Sottiaux shared the exact config.toml and CLI flags to unlock a 1,050,000-token context window in Codex CLI using GPT-5.6 Sol — plus why the default is smaller on purpose.
Codex scraped 5,032 of Ethan Mollick's X bookmarks with no API in under 2 hours, verified them, then curated the best in 3 minutes. What it reveals.
GitHub's Aug 17, 2026 post explains canvases: durable, shared state for agent workflows that chat loses. The 4-step blueprint and real credit cost.
How Google's generative UI works in Gemini and AI Mode — Gemini 3 generates a custom interactive interface per prompt instead of text.
John Gruber wrote 4,500 words calling Claude's text watermarking a "perversion of writing." Hacker News pushed back hard on the technical claim. Here's what's actually true, and how to check it yourself.
Build the viral ink-bleed portrait effect from X with a canvas line-halftone script or a CSS/SVG filter approximation. Full code, step by step.
Loop engineering explained globally: career prospects, salary data, degree paths, and a hands-on /loop command tutorial for students.
Learn loop engineering with small projects, observable checks, failure analysis, and portfolio artifacts that show your engineering decisions.
Matic's new Cues feature adds voice and point-to-clean gesture control to its home robot — running entirely on an Nvidia Jetson Orin Nano, with no cloud round-trip. Here's the on-device AI stack that makes that possible.
How Melo's teach flow generates real-time interactive illustrations during a lesson, and why it uses a component library instead of raw code.
