Latest Interviews
Showing 301–315 of 9,611 transcripts.
Clear all filters- a16z59 min
“Every small business should run itself” | Lassie with a16z
Alex Rampell, Olivia Moore, Steijn Pelle, Frédéric Renken
Founders of Lassie address severe labor shortages in U.S. small businesses by developing autonomous AI agents that execute complex administrative workflows rather than merely digitizing data storage. Initially launched in the dental sector to replace 200 hours of monthly manual paperwork for practices like Dr. Kwan's, the platform utilizes a human-in-the-loop evolution to achieve 95% automation and targets a $1 billion market by selling labor savings instead of software licenses. This approach leverages regulatory shifts toward direct deposit and proprietary workflow ontologies to create a defensible moat against incumbents, with plans to expand into fully autonomous business operations across healthcare and other labor-constrained industries.
Jensen's Open-Weights Letter | Google Cloud Grows 82% But The Market Tanks
Jensen, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Jensen Huang's public endorsement of an open weights manifesto has ignited a strategic realignment among component manufacturers to counterbalance the dominance of Anthropic and OpenAI, while simultaneously exposing tensions regarding regulatory capture and the security risks posed by autonomous AI agents. This shifting landscape is further complicated by substantial capital deployments, including Travis Kalanick's $1.7 billion raise for industrial robotics and Google's record revenue paired with investor anxiety over its negative free cash flow. Amidst these developments, market dynamics are becoming increasingly volatile as specialized chip startups challenge NVIDIA's infrastructure, legacy SaaS firms struggle with growth ceilings, and geopolitical concerns threaten to conflate open-source models with foreign-origin restrictions.
- RAISE Summit40 min
Architecting the Agentic Enterprise | Traversal, Kong, Pigment & Twelve Labs | RAISE 2026
Shubho Sengupta, Anish Agarwal, Carl Mattsson, Eleonore Crespo, Soyoung Lee, Cathy Gao
Moderated by Kathy Gao of Sapphire Ventures, this panel unites five founders to address the critical transition of AI agents from experimental proof-of-concepts to reliable, autonomous enterprise production in 2026. The discussion identifies key obstacles such as non-deterministic failure modes, security friction, and accountability gaps, while proposing strategies like deterministic output layers, structured human-in-the-loop oversight, and outcome-based pricing to ensure value delivery. By analyzing data showing that most current AI initiatives fail to impact EBITDA, the session outlines a roadmap for shifting investment from edge use cases to core business operations through proprietary data infrastructure and stable governance models.
- Y Combinator1h 16m
Kernels and Chips: Cursor, NVIDIA, and Meta Researchers on GPU Performance | YC Paper Club
Stuart Sul, John, Francois Chaubard, Jon Saad-Falcon, Mark Saroufim, Misha Smelyanskiy, Brennan Shacklett
The event synthesizes critical industry shifts toward specialized ASICs and disaggregated architectures that separate training and inference workloads to maximize intelligence per watt. Technical deep dives highlight breakthroughs in multi-GPU kernel optimization and local inference, demonstrating that consumer accelerators can now deliver nearly 90% of frontier model utility while reducing energy costs by 70%. These innovations collectively address systemic bottlenecks in network communication and latency, establishing a roadmap for distributed, cost-efficient AI ecosystems that minimize reliance on centralized cloud resources.
- Milken Institute41 min
Investing in Economic Mobility: Building a Path to Opportunity | Global Conference 2026
Michael Milken, Ted Cruz, Brad Gerstner, Kevin Hassett
The "Invest America Act" mandates the automatic creation of direct-ownership investment accounts for millions of children, a program championed by Senator Ted Cruz and economists like Kevin Hassett as a vehicle for "Opportunity Conservatism" rather than government redistribution. Supported by massive private philanthropy from figures such as the Dells and Ray Dalio, the initiative allows tax-free annual contributions up to $5,000 with projected account values reaching $700,000 by age 35. By targeting the bottom of the income distribution, the White House aims to cultivate a nationwide constituency of young investors while driving a political shift toward expanding personal capital ownership beyond current eligibility thresholds.
- Y Combinator32 min
Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”
Alexander Wang discusses his journey from founding Scale AI to leading Meta's Frontier Lab, where he is developing the Muse Spark model to deliver frontier-level AI capabilities at a fraction of the cost. He argues that the immediate future of the industry will be defined by agentic looping and the orchestration of autonomous agents rather than raw model size, predicting a massive expansion in global GDP driven by these technologies. Wang concludes by advising founders to build independent convictions based on first principles while emphasizing that systematic thinking and vision are becoming the scarce resources in an era of abundant computational intelligence.
- Goldman Sachs24 min
Arun Gupta on Bringing Silicon Valley’s Spirit to Public Service
Noble Reach establishes a "community of dual citizens" by placing private-sector innovators into 2-3 year federal rotations to address critical generational talent gaps within US government technology sectors. Supported by strategic partners like Goldman Sachs, the organization deploys scholars to solve complex problems in state, local, and federal agencies while leveraging bipartisan mentorship and technical training to decouple public service from political ideology. This "residency match" model aims to foster long-term career resilience and global competitiveness against adversaries practicing civil-military fusion, ultimately validating public service as both altruistic and professionally advantageous.
Lumentum CEO: How Lasers Are Transforming AI Data Centers
Michael Hurlston, Tony Kim, Molly O'Shea
Under CEO Michael Hurlston, Lumentum has transformed from a diversified manufacturer into a pure-play data center optical leader, tripling revenue and driving its stock price up to 12-fold by capitalizing on the industry's rapid shift from copper to fiber connectivity. This transition, necessitated by the physical limitations of copper in high-speed environments, is straining the specialized Indium Phosphide supply chain due to long lead times for dedicated fabrication facilities. Facing tens of millions in new hyperscaler orders, the company is simultaneously expanding into space-based internet infrastructure and navigating geopolitical dynamics that favor U.S. domestic suppliers over Chinese competitors.
- All-In Podcast1h 9m
The Robot Episode: Four Leaders on What's Coming
Dr. Péter Fankhauser, Bernt Børnich, Amanda McMaster, Jonathan Hurst, J-Cal
Leading robotics firms including Anybotics, Boston Dynamics, and Agility Robotics have collectively deployed over 1,000 specialized units globally to replace humans in hazardous industrial settings, prioritizing data sovereignty and ISO cybersecurity standards to avoid reliance on Chinese hardware. These companies are currently transitioning from pure detection to scalable autonomy through platform-based ecosystems and cost reductions, with humanoids targeting a $40,000 price point and quadrupeds enabling continuous 24-hour monitoring in extreme environments. While immediate returns focus on safety and leak prevention, the industry anticipates a hard take-off in manufacturing capabilities within a decade as foundational AI models enable complex, multi-arm manipulation without physical safety barriers.
- Sequoia Capital49 min
Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Jerry Tworek, Rohan Anil, Sonya Huang, Pat Grady
Founded by Jerry Liu and Rohan Ramachandran, Core Automation aims to replace static Transformer models with a new class of AI systems capable of continual, test-time learning. The organization is building an automated research lab designed to overcome architectural bottlenecks by developing hardware-efficient kernels and enabling models to autonomously optimize their own code. Success for the venture is defined by the system's ability to self-improve without human intervention, effectively extending the team's operations while bypassing the diminishing returns of current scaling methods.
- The Economist8 min
Why knowing the future doesn't always help predict markets | The Economist
Elm Wealth's study compared the performance of laypeople, artificial intelligence models, and professional macro traders by simulating 15 days of trading with perfect future news on historical market data. While professionals doubled their starting capital by dynamically adjusting leverage based on confidence, average human and AI participants barely broke even or lost their entire stake due to poor bet sizing. The findings highlight that successful investing relies more on capital allocation and risk management than on superior directional prediction accuracy.
- Goldman Sachs20 min
What the Surge in IPOs Means for Investors
Jay Ritter, Owen Lamont, Allison Nathan
Goldman Sachs Research reports that the U.S. IPO market reached record issuance levels in 2026 while maintaining average valuations that distinguish current activity from historical speculative bubbles. Analyst Jay Ritter and Owen Lamont offer diverging perspectives on this surge, with Ritter arguing deep capital markets can absorb new supply without overvaluation, whereas Lamont warns that a massive wave of issuance signals the early stages of a potential bubble. Both experts agree that structural shifts, including expanded private markets and industry consolidation, have permanently reduced the average annual IPO count to roughly 100, fundamentally altering the relationship between new listings and future market returns.
- 80,000 Hours2h 9m
We Read 100 Self-Help Books So You Don't Have To.
Luisa Rodriguez, Spencer Greenberg
In a survey of 60 to 110 effective altruists and high-impact workers, Spencer Greenberg and the 80,000 Hours team found that while few suffer from clinical disorders, most experience significant psychological challenges that hinder productivity. Greenberg outlines maladaptive behaviors like constant threat monitoring and identifies strategies such as "clean fuel" motivation, the Magic Dial exercise, and acceptance-based planning to sustain long-term effectiveness. The analysis concludes that prioritizing psychological sustainability through intrinsic values and preventative self-care is a strategic necessity rather than a selfish distraction for practitioners in existential risk and related fields.
- Bank of America8 min
Signals & Noise: July FOMC meeting: oil or nothing
At the July 27, 2026 FOMC meeting, Federal Reserve Chair Warsh is positioned to reject traditional forward guidance, creating a scenario where Bank of America forecasts a potential surprise rate hike despite market pricing of only a 35–40% probability. This decision may be driven by persistent inflation misses and resilient economic data, potentially prompting dissent votes from regional presidents Logan and Hammock in favor of tighter policy. Such a move would establish a new historical precedent by repricing rates forward while paradoxically flattening the yield curve and pushing long-term Treasury yields lower due to anticipated economic headwinds.
- a16z42 min
Fei-Fei Li is Solving the Hardest Problem in Robotics | World Labs with a16z
Fei-Fei Li, Martin Casado, Yunzhu Li
World Labs is acquiring Cynics to fuse its generative "Marble" spatial intelligence model with advanced robotics simulation, creating a scalable pipeline that replaces dangerous physical data collection with reliable digital environments. Led by CEO Fei-Fei Li alongside Cynics' leadership team, the merged entity will deploy this technology in semi-structured industrial settings to train multimodal "omni models" capable of counterfactual reasoning and efficient robot control. This strategic integration aims to validate a robust "real-to-sim-to-real" framework with early commercial customers before addressing the complexities of unstructured human environments.