Latest Interviews
Showing 1906–1920 of 9,637 transcripts.
Clear all filtersMeme Lord CEO Raises $22.5M Series A for Hello Patient
Hello Patient secured a $22.5 million Series A round led by Scale Venture Partners to accelerate its conversational AI agents that automate patient-facing workflows for healthcare providers. The funding round coincides with the launch of a viral parody video by CEO Alex Cohen, who leverages his substantial online presence to market the company's strategy of integrating custom triage flows with major practice management systems. With current operations handling tens of thousands of daily conversations, the firm aims to scale to millions of interactions by hiring specialized Agent Architects to bridge natural language processing with clinical logic.
Anthropic Raises $13BN & OpenAI Buys Statsig for $1.1BN All Stock
Jason Lemkin, Rory O'Driscoll, Cliff Obrecht, Harry Stebbings
This analysis examines a high-stakes AI investment landscape where Anthropic secured a $13 billion round at an $183 billion valuation while Canva accelerated toward an IPO with re-accelerating 40% growth. Market dynamics reveal significant inefficiencies, exemplified by Lovable's rapid valuation doubling and intense competition with Replit, alongside major corporate moves including OpenAI's StatSig acquisition and Meta's scrutinized Scale AI deal. Looking forward, industry leaders warn that while AI infrastructure investment targets a $3–4 trillion opportunity, sustainable success depends on companies navigating the critical transition from early-adopter hype to mainstream utility and managing rising compute costs.
- Jane Street1h 13m
Why ML Needs a New Programming Language with Chris Lattner
Former LLVM creator Chris Lattner founded Modular to solve the AI industry's fragmentation by introducing Mojo, a Python-compatible language designed to unify performance and portability across competing hardware vendors. The company generates revenue through enterprise infrastructure solutions rather than licensing the language itself, aiming to replace complex C++ and CUDA workflows with a single release train supporting both NVIDIA and AMD accelerators. This approach seeks to democratize high-performance computing by providing a neutral software foundation that allows developers to build portable AI models without sacrificing hardware efficiency.
- a16z56 min
Is Non-Consensus Investing Overrated?
Erik Torenberg, Martín Casado, Leo Polovets
Martin Casado and Leo Gurevitch debate the strategic tension between non-consensus investing and market efficiency, arguing that while non-consensus deals offer higher potential returns, founders risk funding starvation if they fail to align with investor consensus. The speakers analyze how valuation inflation and "human opinion" can distort market pricing, creating a dichotomy where companies either face cash discipline through hard raises or fragility through overspending in consensus rounds. Ultimately, the discussion concludes that while individual investors may chase alpha by ignoring consensus, the aggregate market gradually converges on intrinsic value, necessitating a nuanced approach where founders appear consensus-compliant despite pursuing non-consensus products.
- The Diary Of A CEO1h 28m
The AI Safety Expert: These Are The Only 5 Jobs That Will Remain In 2030! - Dr. Roman Yampolskiy
Dr. Roman Yampolsky predicts Artificial General Intelligence will arrive by 2027, triggering a cascade of socio-economic disruption that could result in 99% unemployment and full physical automation by 2035. He warns that exponential capability growth paired with linear safety progress creates an irreversible control gap, where superintelligence may exceed human oversight and lead to extinction via uncontrolled optimization or biological weaponization. To counter these existential threats, Yampolsky advocates for immediate collective action through movements like "Pause AI," prioritizing human longevity, and treating loyalty as the critical trait for navigating a future where silicon substrates render traditional human enhancement obsolete.
- Milken Institute1h 1m
The Future of Asset Management | Global Conference
Richard Ditizio, Raphael Arndt, Mike Gitlin, Matthew Harris, Bill Huffman, Jean Hynes
Amidst a fracturing macroeconomic landscape and shifting geopolitical dynamics, leading asset managers are pivoting toward active strategies and AI-driven decision-making to navigate stagflation risks and capitalizing on a projected $100 trillion infrastructure opportunity. The event highlights a strategic convergence of public and private markets, where demographic shifts and an incoming $70 trillion wealth transfer are driving demand for sustainable alternatives and retirement solutions extended to 90 years of life expectancy. Ultimately, industry leaders anticipate a decade of market broadening and productivity booms, positioning the fusion of technology and traditional asset allocation as the primary engine for future alpha generation.
- a16z52 min
Jack Altman & Martin Casado on the Future of Venture Capital
This interview analyzes the structural evolution of Andreessen Horowitz as it shifts from a generalist consensus model to a specialized, platform-driven firm to navigate intense talent wars and a multi-trillion dollar AI market. The discussion highlights how infrastructure remains the primary value driver in AI, while firms leverage in-house media capabilities and decoupled operational support to help portfolio companies overcome brand and productivity challenges. Finally, the speakers address the firm's calibrated aggression in a speculative gold rush and the strategic importance of open source in maintaining a competitive ecosystem against incumbent threats.
- RAISE Summit16 min
Ori Goshen, Co-founder & Co-CEO of AI21 Labs: AI - All The Work!
AI21 co-founders Ori Goshen, Yoav Shoham, and Amnon Shashua launched Maestro, a model-agnostic platform designed to automate complex enterprise workflows by generating multiple execution plans and preventing compounding errors in multi-step tasks. Internal benchmarks demonstrate that integrating Maestro with existing foundation models significantly boosts accuracy and allows developers to control computational budgets while maintaining full visibility into agent reasoning. The company frames this technology within a "super productivity" strategy where automating routine tasks empowers humans to execute faster and solve underserved market problems rather than simply reducing headcount.
- Y Combinator28 min
Michael Truell: Building Cursor At 23, Taking On GitHub Copilot & Advice To Engineering Students
Founded by MIT graduates led by Michael Truel, Cursor pivoted from failed ventures in CAD and encrypted messaging to launch a custom AI-driven code editor in late 2022 with an aggressive vision to automate the future of software development. Leveraging a strategic shift to API-based models and a product-led growth approach, the team scaled rapidly from one million users in 2023 to over 100 million in 2024, capturing approximately 80% of YC batches. This rapid adoption was driven by features emphasizing codebase awareness and speed, reinforcing the founders' long-term outlook that AI will transform the industry into a collaborative ecosystem where programming fundamentals remain critical for reviewing and editing AI-generated logic.
- Milken Institute1h 1m
Private Credit: Innovation, Strategy, and Distressed Debt in a Maturing Market | Global Conference
John L. Bowman, Michela Bariletti, Paul Horvath, Joe McCurdy, Rudy Sahay
Private credit in the U.S. has matured into a $3 trillion primary capital source, driven by regulatory shifts post-GFC and a strategic pivot toward re-integration with banks rather than disintermediation. While the U.S. market faces competition from large BDC ecosystems, European opportunities are emerging through Solvency II reforms and Brexit-related dislocations, prompting institutional investors to favor aligned partners who prioritize long-term control over deal velocity. To navigate rising leverage risks and geopolitical volatility, leading firms are deploying AI-driven underwriting and targeting $2 billion mid-market deals that offer superior covenant protection and recovery rates.
- a16z47 min
Substack Cofounder on AI Slop Content & the Decline of Social Media
Erik Torenberg, Chris Best, Katherine Boyle, Andrew Chen
Amidst the 2020–2021 media crisis marked by mass de-platforming, Substack emerged as a critical infrastructure protecting free speech by enabling independent writers to monetize directly through a full-stack network of newsletters, podcasts, and video tools. Capitalizing on a $100 million investment to rebuild its internal systems, the company differentiates itself through an "exit-right" policy, an algorithm designed to surface long-form content rather than drive engagement, and AI integrations that lower production barriers without sacrificing quality. By fostering a "rebundling" of media where top creators earn multi-million dollar salaries independent of corporate hierarchies, Substack aims to establish a permanent alternative to the addictive, algorithmic dominance of legacy social platforms.
- Goldman Sachs23 min
After a Summer of Stablecoins, What’s Next?
Brian Brooks, Barry Eichengreen, Allison Nathan
The U.S. "Genius Act" establishes a comprehensive federal framework for stablecoins that mandates full backing by high-quality assets like U.S. Treasury bills while subjecting issuers to national bank-style supervision. Key figures Brian Brooks and Barry Eichengreen debate the legislation's efficacy, with Brooks advocating for private innovation and treasury demand growth while Eichengreen warns of systemic risks to the singleness of money and potential taxpayer liabilities. Despite these conflicting views on financial stability, the regulatory clarity is expected to dismantle existing market monopolies and accelerate mass adoption across savings, remittances, and commercial payment sectors.
- Sequoia Capital50 min
Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Crosby, Ryan Daniels, John Sarihan, Josephine Chen
Crosby operates as an AI-first law firm that replaces traditional software models with an integrated service where lawyers and engineers collaborate side-by-side to automate contract review. By rejecting the billable hour in favor of per-document pricing and deploying specialized AI agents alongside human oversight, the firm accelerates negotiation lifecycles to enable single-turn resolutions. This structural innovation targets the underserved "long tail" of legal work, democratizing high-quality contract services while redefining junior attorney roles as managers of autonomous AI systems.
- Milken Institute1h 0m
The Evolving Landscape of Asset-Based Finance and Securities Products | Global Conference 2025
Ted Seides, Matt Miller, Jack Neumark, Madelaine O'Connell, Jason Steiner, Edwin Wilches
Leading Asset-Based Finance managers including representatives from PGM, PIMCO, HPS, Fortress, and Bayview defined the sector as "private credit 2.0," focusing on securitizable income-generating assets like real estate and esoteric receivables to diversify beyond traditional corporate loans. While the panel consensus identifies homeowner resilience as a key defense against downturns, experts warn of rising subprime auto risks, FICO score distortions, and dangerous spread compression driven by record capital influx from insurers and pension funds. To navigate these dynamics, the group outlined divergent strategies ranging from maintaining "rent" models with originators to pursuing complex illiquid structures, all while emphasizing the necessity of rigorous forward-looking scenario analysis to manage deteriorating covenants and liquidity premiums.
Cohere Founder, Nick Frosst: How To Compete with OpenAI & Anthropic, and Sam Altman’s AI Disservice
Nick Frosst, Sam Altman, Harry Stebbings
Cohere founder Trevor Stuhldreher critiques industry alarmism over AGI while outlining the company's strategy of prioritizing enterprise utility and tool-use over consumer entertainment through its "North" agentic framework. The company recently valued at $6.8 billion differentiates itself by training efficient models on synthetic and high-quality data to handle repetitive labor tasks, with projections that such agentic workflows will replace entry-level roles by 2026. Stuhldreher further advocates for sovereign model infrastructure to protect national interests and warns that without careful policy, widespread AI adoption will exacerbate income inequality despite the inevitability of workforce displacement.