May 15, 2020, 5:55 PM ETInterview

Stephen Schwarzman: Going Big in Business, Investing, and AI | Lex Fridman Podcast #96

Commitment to Scale: Schwartzman believes in pursuing "very consequential," large, and unique opportunities rather than small endeavors, as scale enables the recruitment of top talent and generates the financial resources necessary for massive impact.
Pattern Recognition as Strategy: Identifying opportunities relies on recognizing "discordant notes" in a "constellation of facts" (analogous to finding white lint on a black dress) rather than pure intuition or standard data analysis.
Outlier Detection: True insight comes from focusing on specific anomalies that do not fit traditional models, which often signal significant upcoming shifts or "straight lines" to new realities.
Data Volume Requirement: Successful pattern recognition requires a massive dataset of observations and active listening to unusual statements, a practice Schwartzman has employed throughout his career even before the AI data revolution.
The Myth of the Lone Wolf: While entrepreneurship is often perceived as a solitary pursuit, Schwartzman asserts it is a "team sport," citing that successful giants like Google, Microsoft, and Apple were built by pairs or teams of people with complementary skills.

$350 Million Gift: In 2018, Schwartzman donated $350 million to MIT to establish the new College of Computing, committing the majority of his wealth to philanthropy via the Giving Pledge.
Strategic Mission: The College aims to double MIT's computer science faculty, fostering interdisciplinary, "big, bold" research in AI and creating the world's first AI-enabled university.
Global Competitiveness: The investment is driven by a "global race" in AI and quantum technologies, with the goal of ensuring the U.S. maintains leadership and avoids the unintended negative consequences (e.g., social media chaos) seen with the internet.
Dual Focus: The initiative addresses two critical areas: scientific advancement in AI and the necessity of AI ethics to prevent societal backlash, regulatory hostility, and the disruption of liberal democracies.
Ripple Effect: Schwartzman intends for MIT's College of Computing to serve as a "beacon" that forces other universities and the broader research community to elevate their standards and capabilities.

Tyranny of the Minorities: Schwartzman warns that social media enables small, organized minority groups to enforce their views and manufacture truth, creating a disruptive and dangerous environment that undermines liberal democracies.
Unintended Consequences of Technology: He notes that nearly all the scientists behind the internet's invention expressed regret or concern regarding the social media landscape, acknowledging that the negative human impacts were not foreseen during its creation.
China's Educational Mobilization: In contrast to the U.S., China plans to teach computer science to 100% of school children, creating a massive, unified workforce in tech that the fragmented U.S. school district system struggles to match (where Schwartzman estimates less than 5% of children have exposure).
Regulatory Risks: There is a critical need for integrated cooperation between research universities, private companies, governments, and a knowledgeable media to prevent overreactions to AI that could halt scientific progress.

Need for Federal Mobilization: Schwartzman argues the U.S. requires a "moonshot kind of mobilization" in AI R&D, similar to the historical Cold War space race, to maintain global leadership.
Political Obstacles: Current progress is hindered by "poisonous politics," a lack of congressional cooperation, and massive trillion-dollar deficits that complicate the allocation of new federal resources.
Non-Partisan Service: Schwartzman advocates for serving the nation regardless of party affiliation, having advised Presidents Bush, Obama, and Trump, emphasizing that "what can you do for your country" should override partisan loyalty.
Institutional Courage: He calls for senior leaders at universities and institutions to courageously uphold classical free speech and open inquiry, rejecting the current culture of "shout-down" biases to restore healthy discourse.

Humble Foundation: Schwartzman maintains the "middle-class values" of his upbringing in Philadelphia, believing integrity and a lack of ego are essential competitive advantages in business and life.
The Power of Listening: Raised in a household where no one raised their voice, he developed the ability to listen intensely to facial expressions, posture, and tone, allowing him to discern true intentions that people often conceal.
Solution-Oriented Engagement: He advises approaching meetings by researching the other party's biggest unresolved problems beforehand and presenting novel, actionable solutions, rather than focusing on self-presentation.
Psychological Preparation for Startups: Entrepreneurs must be prepared for frequent failures, overwhelming unknown variables, and the need for a support group of experienced peers to avoid the psychological burden of isolation.
Relationship Maintenance: Successful leaders must intentionally protect their personal relationships by scheduling regular "escapes" from work with spouses to reaffirm values and maintain the "fun" element of their partnership.