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.
Cursor announced Origin on June 17, 2026—a git hosting platform built for AI agents, not just humans. Here's what it means for agentic coding teams and why it may reshape the developer tooling stack.
Flock Safety cameras track every car in thousands of US cities. This analysis covers the technology, Fourth Amendment law, documented misuse, and growing civil liberties pushback against AI-powered mass vehicle surveillance.
Google Research released a vectorized Farmscapes 2020 dataset using a Vision-Transformer AI trained on 300M+ satellite images to detect hedgerows, stone walls, and copses across England—critical for carbon accounting.
Grok Imagine Video 1.5 is now in wide release — #1 on the Image-to-Video Arena, native audio, 720p at 24FPS, and $4.20/min vs Sora 2's $30/min. Full breakdown.
India has $1.25B in sovereign AI spending, Sarvam 30B/105B open-source models, and 34K GPUs. But it runs on NVIDIA chips. Full analysis of India's real AI sovereignty status in 2026.
Midjourney announces its first hardware project, live in San Francisco on June 17, 2026. A pre-event analysis of clues, plausible form factors, and why this matters for creative AI.
The NVIDIA DGX Spark at $4,679 runs 200B-parameter LLMs locally at 35-80+ tokens/second. See how it compares to AMD AI Max+ 395, Apple M5 Max, and RTX PRO 6000 builds — and who should actually buy it.
Learn how to use OpenAI Codex to scaffold, build, and debug SwiftUI iPhone and iPad apps with xcodebuild, Tuist, and XcodeBuildMCP — CLI-first, no Xcode GUI required.
Vercel launched eve on June 17, 2026 — a filesystem-first agent framework with durable execution, sandboxed compute, approvals, subagents, evals, and multi-channel deployment. Full breakdown and getting started guide.
Self-harness lets AI agents autonomously fix their own scaffolding — using weakness mining, harness proposals, and validation to achieve 15–52% performance gains. Full explainer with examples and implementation guide.
Browser Use v4 played GeoGuessr within 50km accuracy using visual AI and interactive browser control. Learn how it works, compare GeoSpy and other AI geolocation tools, and understand what this means for multimodal AI in 2026.
Comprehensive guide to the AI/ML/DL/GenAI hierarchy: what each term means, how they nest, worked examples, and which system you need for your use case — updated for the 2026 LLM and agentic AI landscape.
