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.
AI certificates can structure learning, but employer data favors work experience and skill tests. Here is when credentials help—and what to build first.
GPT-5.5, Claude, and Gemini coding-agent scores decoded across SWE-bench Pro, Terminal-Bench, Senior SWE-bench, harnesses, cost, and private repo tests.
A data-backed map of 142 protests across 42 states and $130 billion in stalled data center projects—separating real blocks from routine delays.
What employers mean by AI skills in 2026, using Lightcast, Indeed, LinkedIn, Stanford AI Index, and live job-posting patterns—not course hype.
Learn how AI input and output token pricing works, why output costs more, context caching, reasoning tokens, tool fees, and real bill formulas.
ChatGPT Plus vs Claude Pro, Gemini Advanced, and Perplexity Pro using real task-cost math for research, writing, meetings, and office work.
AI is improving cancer detection, pathology, drug research, and treatment planning. See what trials prove and what remains experimental.
AI can raise productivity, improve services, map need, and target support, but it may widen inequality. Here is what would actually reduce poverty.
AI can forecast hunger, improve crop decisions, reduce waste, and target aid. Conflict, poverty, prices, and access still determine who eats.
AI can strengthen outbreak detection, surveillance, drug research, and logistics. Prevention still requires health systems, trust, and cooperation.
AI can improve grids, forecasts, materials, and climate monitoring, but it cannot replace clean-energy deployment. Here is the evidence and impact test.
A durable framework for choosing open-weight or closed AI models using cost, quality, latency, privacy, customization, reliability, and lock-in.
