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.
A viral thread accuses Anthropic, METR, and Coefficient Giving of a funding loop. Here's what's verifiable, disputed, and just interpretation.
Your MDM controls devices and apps, not what AI coding agents actually do on them. The gap, and the platform that closes it — Agentbeam.
Neil Chowdhury joined Thinking Machines Lab to develop safety methods for open, customizable AI. Here is what his research background signals.
Nvidia, Palantir and Booz Allen are restricting Anthropic Fable use over data retention fears, per The Information — what each company did.
WSJ: OpenAI acquired camera startup Glass Imaging for over $300M. What GlassAI's neural ISP does and why it matters for OpenAI's hardware plans.
404 Media's Joseph Cox revealed OpenAI's "Project Lily": contractors reading real ChatGPT chats to rate responses. What it means and how to protect yourself.
Enactic's OpenArm is a fully open-source 7DOF humanoid arm for teleoperation, imitation learning, and contact-rich manipulation research, starting at $6,500.
Reddit and X claim Claude Code silently routes Opus 5 users to an unreleased "Opus 5.2." Anthropic hasn't confirmed it — here's the evidence.
New "pace the frontier" reactions from Sept 14-15, 2026: Michael Burry calls it IPO hype, Trump dismisses it as a hoax, Harris calls for a slowdown law.
Reward AI OM-1 uses human wearable data, not robot demonstrations. What the claim means, why it matters, and what remains unverified.
Sakana shipped Fugu Max and Ultra v2 on Sep 11, 2026. Ultra v2 claims to beat Opus 5 on Chartography without Fable 5 in its model pool.
Sakana AI announced PC-ALM on Sep 14, 2026 — a predictive-coding method that trains 1000-layer networks locally, no backpropagation. What it does and why.
