Sam Altman

OpenAI CEO, Y Combinator President, AI Pioneer

Artificial General Intelligence (AGI)AI Strategy and Competitive PositioningAI Infrastructure and ScalingAI Product DevelopmentScientific Discovery AccelerationAI Ethics and Alignment
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About Sam Altman

Sam Altman - Biography

Sam Altman is an American entrepreneur and investor who co-founded OpenAI in 2015 and has served as its CEO since 2019, driving breakthroughs like ChatGPT. He previously led Y Combinator as president from 2014 to 2019, growing it into a major startup accelerator backing companies like Airbnb and Reddit.

Samuel Harris Altman was born on April 22, 1985, in Chicago, Illinois, to a Jewish family. Raised in St. Louis, Missouri, he showed early entrepreneurial drive, dropping out of Stanford University after two years to co-found Loopt, a mobile social networking service, in 2005 at age 19. Loopt raised over $30 million in venture capital before being acquired in 2012. In 2011, Altman joined Y Combinator (YC), a prominent startup accelerator, as a partner and was promoted to president in February 2014. Under his leadership until 2019, YC invested in over 5,000 companies, including DoorDash, Airbnb, Instacart, Twitch, and Reddit, with the collective value of YC companies exceeding $65 billion by late 2015. In December 2015, while still at YC, Altman co-founded OpenAI as a nonprofit AI research lab with Elon Musk, Greg Brockman, Peter Thiel, and others, securing $1 billion in funding to develop AI benefiting humanity. Altman became OpenAI's full-time CEO in 2019, transitioning it to a 'capped-profit' model to fund massive compute needs for artificial general intelligence (AGI). Key releases under him included GPT-3 (2020), DALL-E (2021), and ChatGPT (2022), attracting $13 billion from Microsoft by 2023.

Learn from Sam when you're...

  • Pursuing AGI development while ensuring broad societal benefits over elite control
  • Crafting strategies to compete in the AI race amid rivals like Google
  • Securing and justifying massive infrastructure investments for compute-intensive AI scaling
  • Making tough product decisions on AI alignment, refusals, and user/enterprise personalization
  • Accelerating scientific breakthroughs, such as in medicine or drug discovery, using AI tools
  • Balancing profit-driven business models with altruistic missions in transformative tech
  • Navigating job market disruptions from AI, identifying new work types amid rapid change
  • Expanding AI into enterprise verticals like finance/science or new categories like devices/cloud

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