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.
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.
Practical guide to AI travel planning in 2026. Build itineraries with ChatGPT, use AI translation tools, find flights with Hopper, and understand what AI gets wrong before you go.
Why most AI training programs fail, and what actually builds lasting AI fluency across teams. A practical framework for L&D leaders and managers in 2026.
Apertus from the Swiss AI Initiative offers open weights, open data, and open training pipelines — built for EU AI Act compliance. Here's what makes it matter for AI sovereignty.
Genesis AI unveils Eno — an agentic robot powered by GENE-26.5 with 20 DOF dexterity, full-stack simulation, and a compact non-humanoid design for factories, labs, hospitals, and homes.
Getty Images went from suing Stability AI to partnering with OpenAI. We break down every major AI image copyright lawsuit — Midjourney, Stability AI, Shutterstock — and what this deal really signals.
HappyHorse 1.1 from Alibaba adds native audio sync, multilingual lip-sync, 9 reference images, and 1080p. Built on a 15B unified transformer. Available now on fal.ai. Full technical breakdown.
Fugu Ultra claims Fable 5-level benchmarks via multi-agent orchestration. Ethan Mollick's Harbor tests show 30-min shader runs and weaker real output. Full update.
CLAUDE.md, rules, skills, subagents, hooks, output styles, system prompt — the complete guide to all seven Claude Code customization methods with load timing, compaction behavior, and decision rules for each.
Curated, topic-scored prompt templates for AI Agents: structured generators with variables, modality-aware patterns, and direct links into explainx.ai’s /genera
