Dario Amodei is the co-founder and CEO of Anthropic, the AI safety and research company behind the Claude family of models. A physicist by training who spent five years as OpenAI's VP of Research before leaving to start Anthropic in 2021, Amodei has become one of the most quoted and most publicly combative voices in AI — warning that AI could wipe out half of entry-level white-collar jobs while simultaneously arguing that AI's upside is underestimated. As of 2026, Forbes puts his net worth at roughly $7 billion, built almost entirely on his stake in a company last valued at $965 billion.
A space for AI engineers to learn, share, and geek out — covering everything from LLMs and agents to the tools and tricks that make building with AI easier.
Why Is Elon Musk So Famous? Tesla, SpaceX, xAI, and the Trillion-Dollar Empire Explained (2026)
Elon Musk is famous because he built and now leads six major companies at once—Tesla, SpaceX, xAI, X, Neuralink, and The Boring Company—spanning electric vehicles, reusable rockets, AI models, social media, and brain-computer interfaces. That combination, plus a Tesla pay package worth up to $1 trillion and a 2026 net worth that made him the first person known to cross $1 trillion, is what keeps him the most talked-about entrepreneur on the planet.
How to Run a Deep SEO and Answer Engine Optimization (AEO) Audit with Claude Code (2026 Guide)
A deep SEO and Answer Engine Optimization (AEO) audit with Claude Code works by feeding it your site's raw crawl export, XML sitemap, and Search Console data, then using it as an agent to cross-reference crawlability, structured data, and answer-first content structure — and to write the actual fixes itself, from missing JSON-LD to a robots.txt rule blocking an AI crawler you didn't mean to block. The difference from a manual audit isn't just speed: the same session that finds an issue can open the file and patch it, then re-check its own work.
Why Is Claude So Expensive? Anthropic's Pricing Explained (2026)
Claude costs more per token than most rival models because Anthropic's compute bill is enormous relative to its revenue: roughly $4.0–4.5 billion a year, or about 60% of estimated annualized revenue, split between training frontier models (~$2.5B) and running inference for everyone using Claude (~$1.5B). Claude Opus 5 runs $5 / $25 per million input/output tokens, Sonnet 5 is $2 / $10, and Haiku 4.5 is $1 / $5 — all higher than the cheapest competing tiers from OpenAI and Google, though prompt caching and the Batch API can cut real bills by up to 90%.
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