Co-founder and CEO of OpenAI
Sam Altman
Sam Altman is the co-founder and CEO of OpenAI, the company behind ChatGPT. He previously served as president of startup accelerator Y Combinator.
About Sam Altman
Sam Altman is the co-founder and CEO of OpenAI, an artificial intelligence research and deployment company whose products include ChatGPT and DALL·E. He helped establish OpenAI in 2015 as a nonprofit research laboratory.
Before focusing on OpenAI, Altman served as president of Y Combinator from 2014 to 2019. His public work includes discussions of AI deployment, governance, safety, and the economic effects of increasingly capable AI systems.
Mentioned in our coverage
186 articles name Sam Altman, excluding author credits.
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- OpenAI Codex adds animated pets: /pet, /hatch, and the hatch-pet skill →
What shipped in Codex’s agent UI, how custom pets are packaged through OpenAI’s hatch-pet skill, and why a little dock-side animation can still be a serious product bet.
- OpenClaw meets ChatGPT Plus: OpenAI’s subscription path vs Claude limits →
Two vendor postures on the same open-source agent stack: OpenAI leaning into subscription-backed access for OpenClaw, while Anthropic enforces first-party surfaces for subscription entitlements and bills third-party tools differently.
- GPT-5.5-Cyber rollout: OpenAI’s defender track vs Claude Mythos—what the record actually compares →
Public X messaging meets Preparedness Framework language, CyberGym tables, and a vetted-defender access model. Here is the official picture next to Anthropic’s Mythos red-team blog—where numbers line up, where they do not, and what teams should verify.
- Agentic fatigue meets vibe coding: the AI developer productivity paradox (2026) →
Social feeds show ambitious builders 'fully cooked' by mid-afternoon despite AI leverage. Token spend surges 13×, context switching exhausts cognition, and vibe-coded apps collapse under their own weight. Here is the paradox, the economics, and the escape hatch.
- Why do AI models hallucinate? A practical guide (with Anthropic’s explainer and explainx.ai tips) →
Hallucinations are confident-sounding falsehoods: fake papers, wrong stats, bad biographical detail. This post follows Anthropic’s plain-language explainer, adds patterns we see when teaching skills and agents, and points to a short video for the full walkthrough.
- When Claude Code wobbles on Pro: what a 2026 pricing test says about token limits and the cost of building with AI →
A one-day pricing-page shift put Claude Code next to $100 Max plans, drew a sharp transparency backlash, and was rolled back by evening. Anthropic said it was a 2% new-signup experiment with no change for existing customers; Pro keeps Claude Code again. The same week, competitors highlighted their own clarity—another reminder to treat frontier tools as a budget line, not a fixed utility.