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.
Run GLM-5.2, Kimi-K2.7, gpt-oss in Codex via Ollama. Step-by-step --oss setup, config.toml profiles, wire_api=responses, troubleshooting, and limits.
G7 Évian 2026 AI working lunch full recap. Trusted Partners scheme, child safety declaration, Modi speech, Trump on Anthropic, and what 12 AI CEOs said.
Kaggle Agent Skills whitepaper explained: progressive disclosure, eval tiers, Skills vs MCP, meta-skills, 40K marketplace, and enterprise playbook.
Matt Pocock Skills v1.0 cuts tokens 63% with progressive disclosure. New /codebase-design, /domain-modeling, /grilling, /ask-matt, and spec tier debate.
Midjourney Medical announced a full-body ultrasonic CT scanner — 500K transducers, 17GB/s data, 60 seconds, no radiation. First Midjourney Spa opens SF end of 2027. Goal: 1 billion scans/month by 2031.
OpenAI June 2026 research: RL on honesty and corrigibility improved 44/53 OOD alignment benchmarks and persisted under adversarial pressure. Explained.
OpenAI Deployment Simulation explained: replay production chats, predict misalignment rates, calculator hacking, eval awareness, and agentic tool sim.
OpenAI LifeSciBench: 750 expert biotech tasks, GPT-Rosalind 36% pass rate, Tacit Labs, rubric grading, artifact gaps, and pharma AI evaluation guide.
Unreal Engine 5.8 MCP plugin lets Claude and Codex control the Editor—props, PCG cities, lighting. Setup, Toolset, UAIP, and AI disclosure debate.
Fable 5 live globally July 1 after export ban lift. UK, EU, India restored. GPT-5.6 broad GA around the corner. International access guide.
Research-grounded guide to AI mental health tools: what RCTs show about Woebot and Wysa, Replika's companion crisis, where AI helps and where it fails, plus a practical selection checklist.
Anthropic's study of 400,000 Claude Code sessions finds that domain expertise predicts success more reliably than a software engineering background....
