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.
GitHub embedded Impeccable into Copilot for Pro and Enterprise users. 23 commands, 44 rules, backed by a16z. Here is what it does for AI-generated UIs.
Mercury 2 by Inception generates 1,009 tokens/sec via diffusion — parallel token refinement, not autoregressive decoding. $0.25/$0.75 per 1M tokens. Full breakdown of the architecture, use cases, and what 5x faster inference changes for agent loops.
Mistral OCR 4.1 adds bounding boxes and block confidence for €3.50/1k pages. Honest verdict from Hacker News: beats Tesseract, loses to Claude on handwriting. Full pricing and benchmark guide.
Moebius (226M params) matches FLUX.1-Fill-Dev (11.9B) on inpainting benchmarks at 26ms/step. LλMI attention block + latent distillation from PixelHacker. Consumer GPU ready.
Nori Robotics teased L2 at iPhone pricing on June 23. Waitlist live, orders next week. Specs, Nori Bot lineage, OpenClaw stack, and vs Figure/Eno.
How prompt caching works, when to cache system prompts vs messages, security tradeoffs in multi-tenant apps, and DIY cache salting for AI agents in 2026.
ByteDance's Seedance 2.5 generates 30-second native 4K video with 50 reference inputs and 20% better prompt adherence. Here is what changed.
Stripe Directory makes AI agents discoverable and payable — agent profiles, search, Machine Payments endpoints. Free inter-network payments change agentic workflow economics.
Two executive orders signed June 22, 2026 target the US quantum future — a scientifically useful quantum computer by 2028 and federal post-quantum cryptography migration by 2030–2031. Here is what engineers need to know.
Plan local model memory, context limits, quantization checks, and loopback access before running a large MoE model with Unsloth Studio.
VibeThinker-3B scores 94.3 on AIME 2026 (97.1 with test-time scaling) and 80.2 on LiveCodeBench. Parametric Compression Hypothesis explains why reasoning compresses to small models.
From JSON to RAG: 50 depth-heavy technical concepts for vibecoders who want to become real AI makers. Debug faster, build better, ship more.
