Latest Interviews

Get Tesla Big | Chris Power, Hadrian

Chris Power, Hadrian, Molly O'Shea

Hadrian, a US-based manufacturer of precision components for the defense and aerospace sectors, secured a $117 million Series B round led by Andy Grayson and RTX Ventures to finance a new debt-backed capital expenditure strategy and expedite a second factory location. The company leverages its proprietary software and robotics to deliver 10x productivity gains over traditional labor models, aiming to reach full production capacity by Q1 2025 before expanding into a new state by mid-year to meet surging demand from tier-one primes. Founder Chris Power describes the venture as a mission-critical effort to preserve American industrial competitiveness against China, forecasting a high-stakes trajectory toward becoming a $10 billion entity through a "human-in-the-loop" operational model and aggressive global scaling.

How To Build Generative AI Models Like OpenAI's Sora

The event analyzes OpenAI's Sora model, highlighting its breakthrough in text rendering and temporal consistency while noting persistent flaws in physical logic and immense computational demands. It details how YC startups like Infinity AI and Sonato are achieving comparable results through data efficiency, synthetic training, and optimized model architectures rather than massive scale. The discussion concludes by projecting how these physics-simulating AI techniques will accelerate scientific discovery in fields ranging from weather prediction to drug discovery.

Sholto Douglas & Trenton Bricken — How LLMs actually think

Sholto Douglas, Trenton Bricken

The discussion analyzes how massive context windows transform AI into adaptive agents capable of in-context learning that mimics gradient descent, while revealing that current reliability barriers stem from exponential error accumulation in multi-step tasks rather than attention costs. Experts detail the shift from traditional safety probes to circuit-level interpretability for detecting deceptive "sleeper agents" and feature superposition, noting that future intelligence growth depends on scalable compute and synthetic data generation rather than algorithmic breakthroughs alone. Ultimately, the field is prioritizing rigorous evaluation of long-horizon reliability and internal representation fidelity to unlock stable, recursive self-improvement in complex multi-agent systems.

How Vuori’s Joe Kudla went from accountant to fashion industry success

Joe Kudla, David Solomon

Viore founder and CEO Joe Kudla transformed a failed apparel background into building a $4 billion men's performance brand that secured a landmark SoftBank investment by pivoting from wholesale to a direct-to-consumer model. The company successfully expanded its revenue composition to include a women's line and entered international markets in China and Korea while maintaining profitability and avoiding unnecessary dilution through secondary offerings. Guided by a culture of strategic alignment, Kudla's leadership team navigated early industry skepticism to establish Viore as a premium lifestyle brand focused on versatile activewear rather than niche yoga apparel.

Related Companies’ Jeff Blau on Building Hudson Yards

Jeff Blau, John Waldron

Related Companies CEO Jeff Blau transformed a derelict railyard in New York City into the 15-million-square-foot Hudson Yards district by executing a resilient mixed-use strategy that navigated the 2008 financial crisis. To address the regulatory and environmental challenges posed by Local Law 97, Blau founded Energy Re, a subsidiary launching a historic $12 billion renewable energy initiative designed to supply 16% of the city's power through utility-scale wind and solar generation. This dual approach integrates large-scale affordable housing with massive infrastructure projects, proving that aligning corporate capital with public utility goals can drive both economic growth and decarbonization.

The Gottman Doctors: Women Tend to Be More Unhappily Married & Non-Cuddlers Have an Awful Sex Life!

Gottman, Stephen

Drawing on 50 years of longitudinal research and observations of 3,000 couples in their "Love Lab," Dr. John and Dr. Julie Gottman identified that relationship longevity depends on turning toward bids for connection and maintaining a 5:1 positivity-to-negativity ratio during conflict. They found that destructive behaviors like contempt, stonewalling, and gridlock can be managed by understanding underlying values and utilizing physiological self-soothing techniques, while noting that social isolation poses a health risk comparable to smoking. Their work concludes that integrating specific rituals of connection, accepting mutual influence, and resolving perpetual problems through compromise are essential for sustaining intimacy and mitigating the epidemic of loneliness.

The Electric Grid, Explained

Ryan McEntush

Amidst a critical transformer leak and record heat that threatens Texas's independent grid, the event details systemic vulnerabilities in the U.S. power infrastructure, including three-interconnection limits and severe supply chain bottlenecks that delay critical upgrades. Experts highlight an impending energy gap driven by data center expansion and electrification, which current storage and generation models struggle to balance without massive investment in long-duration solutions and nuclear technology. Consequently, policymakers face urgent decisions to modernize aging lines and reform interconnection queues to prevent reliability failures reminiscent of past blackouts or the South African energy crisis.

Trust, reliability, and safety in AI ft. Daniela Amodei of Anthropic and Sonya Huang

Daniela Amodei, Sonya Huang

Anthropic, a Public Benefit Corporation founded three years ago to prioritize trustworthy generative AI, recently launched its Claude 3 model family featuring the high-complexity Opus, the cost-efficient Haiku, and the enterprise-focused Sonnet. These models deliver state-of-the-art coding proficiency and reduced hallucination rates, enabling adoption across sectors from healthcare's Dana-Farber Cancer Institute to financial firms like Bridgewater. Despite ongoing challenges in fully autonomous agent behavior, the company continues to advance safety through its pioneering Constitutional AI techniques and proactive Responsible Scaling Policy to align technical capability with human values.

San Francisco (and Silicon Valley) is for the builders.

San Francisco distinguishes itself through a dense ecosystem that manufactures luck via peer collaboration, fostering a cultural environment where entrepreneurship is celebrated rather than stigmatized as an anomalous occupation. This supportive local dynamic stands in stark contrast to global norms where early-stage founders often face social ridicule, effectively validating the struggles of those building new companies. The event further contextualizes this environment by exploring how the city serves as a critical refuge for misfits, such as the speaker who migrated from Chile, to pursue legitimate and difficult startup journeys.

Are the largest US stocks too dominant?

Ben Snider, Peter Callahan, Allison Nathan

Ben Snyder and Peter Callahan analyze record-breaking market concentration where the S&P 500's top ten stocks now hold 33% of total capitalization, a level unmatched since the 1930s despite current valuations being supported by robust earnings growth rather than speculation. While the "Magnificent Seven" face pressure to sustain revenue gains amid rising AI infrastructure costs, active managers are capitalizing on increasing sector dispersion and finding alpha outside the dominant tech tier. Historical precedents and ongoing investor strategies suggest that such concentrated rallies often conclude with broader market participation rather than immediate collapse, provided the economic backdrop remains stable.

Making AI accessible with Andrej Karpathy and Stephanie Zhan

Andrej Karpathy, Stephanie Zhan, Brian Halligan, Alex, Sam, Peter, Michael

Andrej Karpathy outlines a future where the Large Language Model serves as a central CPU for a new "LLM OS," treating text, images, and audio as interchangeable peripherals within a decentralized startup ecosystem. He emphasizes that while massive scale drives current capabilities, the industry must overcome significant engineering and energy inefficiency barriers by adopting new hardware architectures and shifting from imitation learning toward self-correcting reinforcement loops. Drawing on lessons from Elon Musk’s management style, Karpathy advises founders to prioritize high-performance products, maintain technical rigor against organizational bloat, and foster a "coral reef" of vertical-specific applications rather than relying on monolithic corporate dominance.

The AI opportunity: Sequoia Capital's AI Ascent 2024 opening remarks

Sonya Huang, Pat Grady, Konstantine Buhler

Sequoia Capital identifies Generative AI as a historic inflection point poised to replace services with software, potentially unlocking a total addressable market in the tens of trillions. While early traction includes $3 billion in annual revenue and significant enterprise automation at firms like Klarna, the industry currently faces a funding imbalance with billions spent on GPU infrastructure against relatively low user retention. Forecasts predict a rapid transition from assistive co-pilots to autonomous agents and self-optimizing neural networks that will fundamentally reshape organizational structures and drive deflationary productivity across critical sectors.

Open sourcing the AI ecosystem ft. Arthur Mensch of Mistral AI and Matt Miller

Arthur Mensch, Matt Miller

Founded in April 2023 by Arthur Conch, Guillaume Lample, and Timothée, Mistral AI accelerates global AI adoption through a dual strategy of rapid open-source releases and high-performance commercial models like Mistral Large. The company leverages its French headquarters to access cost-efficient engineering talent while forging strategic partnerships with Microsoft, Snowflake, and Databricks to deploy stateful AI directly within enterprise data clouds. Looking ahead, Mistral plans to expand its European language dominance and introduce multimodal capabilities, aiming to evolve from serverless APIs into a comprehensive ecosystem of customizable, autonomous agents.

What's next for AI agentic workflows ft. Andrew Ng of AI Fund

Andrew Ng

AI agents are driving a paradigm shift from single-step prompting to iterative workflows that combine reflection, multi-agent collaboration, tool use, and planning to achieve results that can surpass larger, faster models running in zero-shot mode. This approach allows systems using smaller language models like GPT-3.5 to outperform GPT-4 on complex benchmarks such as HumanEval by enabling self-correction loops and specialized role delegation. While reflection patterns are now robust enough for immediate integration, emerging capabilities in planning and multi-agent debate are expected to dramatically expand the scope of autonomous tasks over the coming year.

RFS: Real-world crypto

This initiative challenges the current crypto landscape by funding engineering teams that tokenize tangible assets like real estate, bank deposits, and actual businesses to grant enforceable ownership rights. Because legal and regulatory hurdles are paramount, the program prioritizes applicants who possess deep legal expertise or have directly collaborated with counsel to ensure compliance. Ultimately, the effort aims to shift the industry from abstract tokens to instruments backed by verified real-world value.