Latest Interviews
Showing 61–75 of 2,630 transcripts.
Clear all filters- Sequoia Capital24 min
When to Build Your Own Agent Harness | Harrison Chase, LangChain
The framework defines autonomous agents as systems built from three owned components: the model, context, and a prioritized harness that orchestrates data flow through an iterative LLM loop. Organizations can customize this harness via middleware for domain-specific optimizations or maintain off-the-shelf versions for in-distribution tasks, ensuring compatibility through dynamic model profiles. Continuous improvement is driven by a flywheel where trace data from evaluations using the Harbor benchmark feeds into an automated engine that identifies failures and suggests prompt, code, or context fixes.
- Goldman Sachs29 min
What the US-Japan Currency Intervention Means for the Yen, Rates, and the Dollar
Karen Fishman, Praneet Shah, Alison Nathan
On July 30th, Japan executed its largest coordinated foreign exchange intervention in 15 years, injecting an estimated $85 billion to halt the yen's slide to 40-year lows against the U.S. dollar. This historic joint action with the United States triggered a 3% immediate appreciation, forcing the rapid unwinding of leveraged carry trades and marking the first such collaboration since October 2011. While the immediate impact stabilized the market, analysts project the intervention serves only as a temporary fix until the Bank of Japan implements anticipated rate hikes in September.
- Sequoia Capital26 min
RL Environments Explained: How AI Agents Learn Real-World Work | Brendan Foody, Mercor
Mercore has expanded its revenue run rate to $2 billion by transitioning the AI data market from basic crowdsourcing to high-skilled "agentic data" services that enable frontier labs to build complex reinforcement learning environments. The company leverages expert networks of lawyers, engineers, and doctors to create realistic simulated worlds with precise human-verified rubrics, demonstrating a fivefold increase in model performance on specific legal tasks during recent training. As the primary data vendor for major application layer companies, Mercore addresses the industry's need for ultra-long horizon tasks and social dynamics evaluations that synthetic models cannot yet self-generate.
Inside America’s Million-Drone Factory
Soren Monroe-Anderson, Molly O'Shea
Euro (Nero) has relocated its operations to a 250,000-square-foot facility designed to support an annual capacity of one million drones, enabling the vertical integration of manufacturing processes that currently yield over 250 units daily. The company is advancing its Bandit Interceptor prototype to target speeds of 400 km/h for intercepting jet-powered drones while maintaining a strict quality control protocol that mandates 100% flight testing for every unit. Strategic planning includes in-house component production, active hiring across engineering and supply chain disciplines, and a long-term vision to transition to full automation contingent upon a redesigned product architecture.
- Sequoia Capital28 min
Post-Training Is How You Keep Your Taste | Fireworks CEO Lin Qiao
Fireworks CEO Linh Nguyen advocates for a strategic industry shift from relying on rented APIs to owning intelligence through deep model customization, enabling companies to preserve unique business judgment while reducing inference costs by five to ten times. This approach utilizes a structured lifecycle of data curation, fine-tuning, and serving loops to transition from generic prompting to specialized models, as demonstrated by success stories like Cursor and niche vertical leaders in healthcare and security. Ultimately, post-training is positioned as the critical mechanism for startups to scale after product-market fit by converting proprietary user data into unclonable domain expertise before high API expenses threaten unit economics.
The $2.5B Drone Company Trying to Become the Toyota of Defense
Soren Monroe-Anderson, Molly O'Shea
Neuros has secured a $250 million Series C led by Sequoia Capital and ASTF to scale production at its new 250,000-square-foot facility, aiming to build one million drones annually while becoming the first FPV manufacturer approved for the UAS Blue List. The company is deploying its Bandit interceptor to Ukraine by the end of 2024 to counter the rising threat of enemy Shahed drones, leveraging a $500 million U.S. Army contract to deliver its Purpose Built Attritable System. With a portfolio expanding to include the autonomous Archer AI, Neuros prioritizes de-Chinified supply chains and mass production capabilities to fulfill growing global defense demands for attritable systems.
- Sequoia Capital29 min
How Harvey Built a Research Lab on a Budget | Gabe Pereyra
Harvey, Gabe Pereyra, Brendan, Julio, Ross, Brock
Harvey differentiates itself from well-funded frontier labs by leveraging an application-layer strategy that combines synthetic data generation guided by domain experts with post-training on open-source models. The company builds specialized legal benchmarks and utilizes infrastructure partnerships to train agents on complex tasks like contract negotiation without exposing sensitive client information. By deploying these capabilities across multiple vendors and product surfaces, Harvey aims to solve organizational productivity challenges while mitigating the performance gaps inherent in current long-context environments.
- Y Combinator42 min
Peter Steinberger: What Happens When 4.7 Million People Let It Cook
Launched in November 2024 by a solo developer to solve personal automation needs, the open-source agent project "OpenClaw" rapidly evolved into a viral community initiative that engaged over 18,000 contributors and achieved 4.7 million weekly downloads by mid-2025. Rather than accepting venture capital or acquisition offers, the founder established a 501(c)(3) non-profit status with Nvidia support to maintain independence while addressing security misconceptions and refining the architecture for multimodal voice interactions. The project's trajectory highlights a strategic shift from proprietary models to open-weight alternatives, ultimately serving as a case study on sustaining developer velocity through personal enjoyment and rigorous community governance.
- a16z37 min
Kavak's Playbook for Rebuilding a Company Around AI
Angela Strange, Gabriel Vasquez, Alejandro Maza Ayala, Ale Massa, Carlos, Gabe, Joseph Schumpeter, Edison, Ford
Kavak, led by Head of AI Ale Massa, successfully transitioned to an AI-native model by deploying daily-instantiated agents that now manage 96% of customer interactions and deliver 2.1 times higher conversion rates than human teams. This architectural shift, which prioritizes long-term relational metrics and recursive self-improvement over rigid workflows, has tripled customer satisfaction and reduced loan approval times from two months to under three minutes. To sustain this transformation, the company implemented a mandatory six-week "Jedi Academy" for all staff and restructured into flat, senior-led teams, effectively eliminating traditional middle management layers to maximize autonomous scalability.
- Milken Institute23 min
Building a Future-Ready Workforce: Florida Governor Ron DeSantis | Global Conference 2026
Ron DeSantis, Charles Gasparino
Governor Ron DeSantis argues that Florida's rapid economic expansion and educational achievements result from favorable policies and tax structures that incentivize capital and skilled workers to migrate from high-tax states like New York and California. As vice-chair of the sports reform committee, he is concurrently pursuing federal antitrust legislation to stabilize college athletics while addressing state affordability through a proposed constitutional amendment to cap property tax burdens on homeowners. DeSantis plans to remain politically active following his 2027 term to complete these initiatives, citing his successful conversion of a Democratic stronghold into a Republican-majority economy as evidence of his continued governance strategy.
- Bank of America29 min
Global Rates & FX Views: NFP & refunding review
Sphia Salim, Aditya Bhave, Mark Cabana, Meghan Swiber
The July U.S. labor report revealed a net loss of 23,000 nonfarm payrolls driven by seasonal education declines and reduced hospitality staffing, though private payrolls remained resilient near break-even levels. This data, characterized by falling wage growth and a surprising drop in the unemployment rate due to labor force exit, has shifted Federal Reserve policy expectations toward a dovish stance with diminished probability for September rate hikes. Concurrently, Treasury guidance maintained constant auction sizes while coordinated yen interventions utilized Federal Reserve swap facilities, effectively limiting direct selling pressure on the U.S. debt market.
- a16z24 min
AI Is Learning to Hack. Faster Than We Expected.
Joel De La Garza, Dylan Ayrey, Feross Aboukhadijeh
Frontier AI models are actively executing sophisticated supply chain attacks by exploiting under-resourced package registries like NPM and leveraging leaked credentials to self-propagate malware. This shift, driven by explicit training on cybersecurity challenges, has accelerated the attack lifecycle to outpace traditional patching, prompting industry responses such as NPM's mandate for human-interactive authentication by 2027. Despite these defensive measures, a critical consensus remains that the industry must address the moral obligations of model labs and the unsustainable reliance on volunteer maintainers to prevent 2026 from becoming the defining year of automated software compromise.
- Goldman Sachs32 min
Steven Tananbaum: The Evolution of Credit Investing and AI Opportunities
Steven Tananbaum, John Waldron, Steve Tenenbaum
GoldenTree Asset Management founder Steve Tenenbaum outlines current credit market risks driven by AI adoption, noting widened spreads for entities like SpaceX alongside his firm's evolution from post-2008 distress turnaround strategies to targeted 3.0 platform acquisitions. He details the firm's disciplined investment process, which prioritizes specific catalysts and strict asset coverage ratios to navigate complex environments like the 2020 oil services and European bank sectors where the firm generated billions in returns. Looking forward, Tenenbaum identifies dispersion caused by AI disruption as a key driver for new opportunities in private credit, software, and 30-year TIPS while emphasizing the necessity of rigorous process discipline over complex narratives.
- Y Combinator42 min
Garry Tan: The Future of AGI Is Personal
The speaker advocates for "Personal AGI," a system of user-owned agents that process vast personal context on private infrastructure to drastically increase output and preserve cognitive independence. Drawing parallels to Baruch Spinoza's rejection of institutional compromise, the talk details how "skill files" and hybrid architectures enable individuals to replace traditional workforces with scalable, compounding digital labor. This shift promises to democratize high-level execution by allowing founders to achieve unprecedented economic leverage while retaining full ownership of their generated knowledge and intellectual tools.
- Goldman Sachs23 min
Demond Martin on Purpose, Community, and Giving What You Have
Damon Martin, co-founder of the inclusive capitalism venture Well With All, launched the company to address health disparities after a personal crisis revealed how lack of resources could have led to tragedy for his younger self. Drawing on his 21-year investment career and deep mentorship under Erskine Bowles, Martin now argues that "friends of the good" form the essential foundation for overcoming the epidemic of loneliness described in his new book. He advocates for rejecting the "self-made" myth in favor of building vulnerable, value-driven communities to drive both personal success and societal healing.