Latest Interviews

Sam Altman: "Never a Better Time to Do a Startup"

Sam Altman, Paul Graham, Garry Tan

Sam Altman and Y Combinator highlight an exponential shift in startup capabilities where coding agents reduce development time to mere seconds while hard tech representation in the portfolio surges to 25%. The organization positions itself as a decentralizing force to prevent single-entity control of AI power, explicitly rejecting the "live action role play" mindset in favor of heretical, high-conviction building. Altman warns of safety risks regarding surveillance and model concentration but maintains that widespread founder agency and distributed innovation will ultimately prevent economic collapse or catastrophic safety incidents.

Mark Cuban: AI is not going to take away 50% of the jobs.

Mark Cuban, Chamath, Jason

The speaker argues that AI will not displace 50% of jobs due to inherent limitations in handling routine tasks, dismissing the idea of broad white-collar replacement as ridiculous without a specific programming mindset. They position the current era as the optimal time for entrepreneurship, citing high adoption rates in Brazil, India, France, and the U.S., while emphasizing that successful tool deployment requires users to develop this same technical perspective. Ultimately, the narrative frames AI as a powerful entrepreneurial lever rather than a job eliminator, contingent on the user's ability to bridge current functional gaps through structured thinking.

Signals & Noise: Bubble Building in the Age of AI

Ben Bowler, Arjun Goyal, Benjamin Bowler

Bank of America Global Research identifies a prevailing "bubble era" driven by reflexive feedback loops where rising prices and volatility reinforce one another across asset classes like AI, tech, and cryptocurrencies. The firm's proprietary Bubble Risk Indicator (BRI) quantifies this instability using historical price data, successfully flagging recent pullbacks in Korean equities and vulnerable sectors such as cybersecurity and semiconductors. Strategic guidance suggests investors prioritize monitoring this metric over traditional valuations to navigate an environment characterized by higher volatility, larger drawdowns, and rapid snapbacks without an immediate terminal crash.

Mark Cuban: “A lot of data centers will be turned into pickleball courts.”

Mark Cuban, Chamath, Jason

Major technology firms are financing massive capital expenditures for AI data centers through substantial debt issuance, a strategy described as "planning for perfection" despite their strong existing cash flows. Critics warn that rapid non-linear improvements in price-performance could render these new facilities redundant, drawing parallels to the telecom industry's surge in fiber-optic capacity that eventually led to significant excess supply. Consequently, the speaker predicts a potential market correction where current infrastructure projects face underutilization or obsolescence if technological efficiency outpaces demand growth.

Jon Winkelried on Lessons from Goldman Sachs and TPG’s Next Chapter

Jon Winkelried, Matt McClure, John Winkle-Reed

John Winkle-Reed, who rose from a 1981 Goldman Sachs intern to co-president before retiring in 2009, applied his leadership philosophy of active listening and decision transparency to transform TPG from a $64 billion founder-led buyout firm into a $310 billion diversified public alternative asset manager. His strategic shift from a siloed structure to a unified "one firm" orientation overcame significant internal resistance, enabling the 2022 public listing and major acquisitions like Angela Gordon in 2023. Currently serving as sole CEO since 2021, Winkle-Reed has integrated artificial intelligence as a central growth driver while steering the organization's geographic and operational evolution from a San Francisco-centric model to a global enterprise with its largest workforce in New York.

Inside the Fastest-Growing Category in AI: Scott Wu, CEO of $26B Cognition

Scott Wu, Molly O'Shea

Cognition has secured a $26 billion valuation and $500 million in revenue by deploying its autonomous AI engineer, Devon, to solve complex engineering tasks for major clients like Goldman Sachs and NASA. The company recently consolidated its operations by acquiring the 200-person Windsurf IDE team, creating a unified hybrid environment where local coding and remote cloud agents collaborate seamlessly. Founder Scott Wu emphasizes an immediate "abundance era" of software mass-creation over human obsolescence, while maintaining model neutrality and refusing integration into larger tech conglomerates as the firm prepares to demonstrate its self-driving software capabilities at the upcoming RAISE AI summit in Paris.

Chamath: Google Is the Ultimate AI Compounding Machine

Chamath

Google maintains a 25-year average return on invested capital of 32% by leveraging its dominance in search, cloud infrastructure, and specialized silicon. The company benefits from AI market fragmentation, as the proliferation of hundreds of distinct models drives demand for its hardware and cloud services while enhancing monetization across application layers. This strategy allows Google to act as a methodical compounder that capitalizes on the diverse needs of the evolving AI ecosystem rather than relying on excessive risk-taking.

Advancing a Modern Regulatory Framework: SEC Chairman Paul Atkins Conversation | Global Conference

Paul Atkins, Michael Piwowar, Mike

The SEC is executing a strategic pivot from enforcement-heavy regulation to a framework prioritizing economic materiality, aiming to reverse the decline in public companies and revitalize the IPO market through simplified disclosure rules and reduced litigation barriers. Parallel efforts are establishing clear jurisdictional boundaries with the CFTC for digital assets while modernizing fund structures to enhance tax efficiency and expanding 401(k) access to private credit markets. Guided by Enforcement Director David Woodcock's focus on substantive fraud over procedural technicalities, the agency seeks to restore investor confidence and preserve the United States' competitive standing in global capital formation.

What Actually Makes A Startup Durable

Paul Graham and YC partners outline a strategic framework for navigating the AI era, emphasizing that while AI increases individual productivity by 1,000x, founders must target "hard" problems with durable moats to survive market saturation. The session advises building companies through co-founders who provide essential emotional support rather than just complementary skills, noting that human judgment remains critical for community building and navigating high-stakes pivots. Finally, students are offered over $25,000 in AI credits to neutralize geographical disadvantages, reinforcing the program's focus on rapid execution and deep market engagement over theoretical development.

Can Markets Withstand AI Risks, Fed Hikes, and Oil Shocks?

Tony Pasquariello, Josh Schiffrin, Dominic Wilson

Dominic and Josh analyze how supply shortages in AI infrastructure and geopolitical tensions in the Middle East are creating a complex investment environment driven by oil market friction and Federal Reserve policy shifts. While the S&P 500 remains near record highs, the duo warns that diverging market performance from lived economic reality, combined with intensifying inflation pressures and a move away from central bank guidance, signals potential volatility ahead. Consequently, they highlight a strategic pivot toward the long end of the yield curve and credit markets, suggesting that concentrated asset exposure is prudent as liquidity is expected to thin in the coming months.

What Big Tech Missed And How Startups Can Still Win

Alexandre LeBrun, Zuckerberg, Jan, Alex

Ami Labs is raising approximately one billion euros in seed funding to develop foundational world models that train on sensory data rather than text, addressing the limitations of current large language models for robotics applications. Co-founded by Alex K. and Yann LeCun following their shared history at Meta and various startups, the Paris-based company aims to build general-purpose robots capable of operating safely in open environments by solving the compute bottlenecks and latency issues inherent in existing vision-language-action architectures. While the venture tackles the high capital demands of securing thousands of GPUs and top-tier talent, it operates under a strict strategic constraint where failure to deliver visible progress within two years could render the company unsustainable due to the intense external expectations created by the massive funding round.

Why Physical AI Is the Next Platform Shift

Eric Landau, Francois Chollet

Anchored, founded by former quantitative trader Eric Landau, constructs the data layer for physical AI by managing petabytes of multimodal data to power robotics and autonomous systems. After pivoting from healthcare vision to broader industrial applications, the company established a production-ready facility in the Bay Area and refined its sales culture through iterative hiring challenges. With the post-ChatGPT market accelerating demand for specialized physical AI infrastructure, Anchored now leads a crowded sector by offering scalable data collection that moves clients from proof-of-concept to enterprise production.

The Fight Over Open Source AI, Anthropic's $1.5B Payout, NYC Socialists: Evictions = Violence?

Chamath, Jason, Friedberg, David Sacks

Following Moonshot AI's release of the cost-effective open-source Kimi K3 model, US markets now face a 45% probability of a government ban on Chinese open-source software by 2026, a move critics like Chamath Palihapitiya and White House official David Saks argue would be regulatory capture by Anthropic to protect its $70 billion business. As Google and Tesla report massive capital expenditure increases driven by AI infrastructure while SpaceX faces post-IPO valuation drops, hosts warn that banning distillation techniques or enforcing strict KYC protocols would force American enterprises to pay a prohibitive "token tax" compared to global competitors. Meanwhile, Anthropic's recent $1.5 billion copyright settlement highlights a contradiction in their stance on IP theft, just as New York housing policies by Zohran Mamdani are predicted to reduce supply and worsen living conditions for tenants.

What Top AI Labs Are Really Doing With Observability

Olivier Pomel, Alexi

Founded by IBM veterans Olivier Pomel and Alexi Laurent, Datadog disrupted the monitoring industry by merging Dev and Ops into a single platform, overcoming initial Y Combinator rejections and regional venture capital biases to achieve a 2019 IPO. Under a leadership philosophy that prioritizes direct customer engagement over written values, the company has expanded its product suite to serve top AI firms while executing a radical shift where engineers will primarily automate code generation within two quarters. This strategic pivot aims to drastically increase development velocity and reorganize the company around smaller, high-autonomy teams, even as it navigates post-lockup valuation volatility and the rapid evolution of AI-driven observability.

He Built the World's #1 Open-Source Coding Agent

Jay V, Gary Tan, Mark Mandelmann, Seth Vargoevic, Frank, Dax, Dylan Patel, Soyal, PG, Jay Poldinger

OpenCode, a sixteen-year-old platform founded by Jay Poldinger and Frank, has grown to 13 million monthly active users and processes 7 trillion daily tokens by serving as a neutral model harness that bypasses vendor lock-in. The company's strategy of supporting over 70 open-source models, which became critical after Anthropic restricted open usage, generated $160,000 in monthly subscription revenue and an estimated $33 million in inference revenue as of June. With significant adoption in China, Brazil, and the United States, OpenCode validates its product-market fit through enterprise organizations that proactively seek security agreements to integrate its agent loops into internal workflows.