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.
Alignment is the problem of building AI systems that reliably do what we intend—not only on average demos, but under pressure, at scale, and when incentives...
On April 21, 2026, Anthropic’s pricing page briefly framed Claude Code under higher Max-tier pricing—sparking loud complaints about transparency (including...
Hermes Agent by Nous Research explained: the terminal and gateway, memory and skills loop, tools and subagents, how model choice fits an agent stack—and an...
The context window is how many tokens a model can condition on in one request—input plus the budget reserved for a reply. Here is a plain definition, how it...
Understand LLM parameter counts, MoE active weights, and memory estimates. Learn why model size alone cannot determine quality, latency, or deployment cost.
OpenAI launched ChatGPT Images 2.0 in April 2026 with the gpt-image-2 model—state-of-the-art text-to-image and editing in ChatGPT and the API, up to...
The 2026 Stanford HAI AI Index—plus IEEE Spectrum’s graph-driven digest: compute growth, robotics split, ClockBench, GitHub agent culture, investment and...
Tokens are the standard units large language models use to read and generate text. Here is what they are, how they differ from words, why input and output...
Anthropic introduced Claude Design—visual design in Claude powered by Opus 4.7, with exports to Canva, PDF, and PPTX and handoff to Claude Code. Research...
Choose where GLM-5.1 inference runs, verify that route with short requests, and add checkpoints and budgets before long agent tasks.
VOID (netflix/void-model) removes objects from video—including interaction effects—not just inpainting. Hugging Face weights, quadmask conditioning,...
What Anthropic says about Claude Opus 4.7: agentic coding gains, 1M context, 128k max output, pricing vs Sonnet 4.6 and Haiku 4.5, plus a benchmark table vs...
