Latest Interviews

India Can Create The Largest AI Companies

Puneet, Arnav, John, Ankit, Jared

The event redefined the global startup paradigm by highlighting how India's deep technical talent enables founders to bypass traditional barriers and build meritocratic AI companies for the international market immediately. Speakers emphasized that success now hinges on founder agency, rapid learning, and the ability to leverage coding agents for extreme execution speed rather than on warm connections or established business models. To catalyze this shift, the program provided attendees with AI computing credits and facilitated co-founder networking to launch high-agency ventures within days.

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Building AI Factories

Chase Lochmiller, Apoorv Agrawal

Hyperscalers are pouring capital into AI infrastructure that rivals historic U.S. projects, driven by a shift in bottlenecks from chip availability to securing powered shells and skilled labor. In Abilene, Texas, Crusoe is deploying a 2.1-gigawatt campus hosting tenants like Oracle and OpenAI, where rapid construction faces significant wage inflation due to a scarcity of tradespeople and tripling costs for power equipment. While traditional hardware risks obsolescence, the economic model shows accelerated returns as managed services can halve the payback period to two years, even as the sector grapples with future challenges in labor supply and open-source competition.

How Meesho Became India’s Biggest Shopping App

Vidit Aatrey, Ankit Gupta

Founders Vidit Aatja and Sanjeev Bikhchandani established Meesho in 2016 to connect rural Indian sellers with consumers, eventually pivoting from a WhatsApp-based social commerce model to a direct-to-consumer app after Jio's data cost reduction enabled mobile app adoption. This bold 2021 strategic shift, which terminated the platform's core business to launch a native application, secured Meesho's dominance in the Indian market by capturing over 50% of the country's online commerce volume by 2026. Today, the company serves 250 million unique consumers and is deploying its proprietary "Vani" voice AI agent to further democratize e-commerce for rural users with low digital literacy.

Stanford CS153 Frontier Systems | The Road Ahead: Resilience Required

Joe Sullivan, Mike, Matthew Prince, Travis, John, Brandon, Shov

Former security executives from the US Department of Justice, eBay, Facebook, and Uber detail a high-stakes career trajectory that includes the 2016 Uber data breach, a 2022 obstruction of justice conviction, and subsequent rehabilitation through community support and global speaking engagements. The discussion analyzes the modern threat landscape, highlighting the evolution of ransomware, the operational risks posed by generative AI, and the urgent need for quantum-resistant cryptography. Concluding with strategic advice for 2026, the presentation emphasizes that cybersecurity leadership must evolve into a core executive function capable of navigating complex regulatory environments and ensuring organizational resilience against both digital and physical threats.

How to Build a Self-Improving Company with AI

Tom Blomfield

The event argues for replacing traditional hierarchical management with recursive AI architectures where organizations function as self-improving loops composed of sensor, policy, and learning layers. It demonstrates this shift through a YC case study where autonomous agents analyzed failures and updated code overnight, enabling companies to transition from headcount-constrained models to token-limited systems. By mandating universal data recording and treating internal software as ephemeral, the presentation defines humans as peripheral "edge interfaces" while AI assumes the role of the central "company brain" for decision-making and execution.

Thanks for a great time, India 🇮🇳

The India AI event drew an overwhelming 25,000 applications, surprising organizers with the unprecedented turnout. This massive participation underscores a pivotal shift where the future of the ecosystem is being defined by the current generation of attendees rather than previous leaders. The scale of engagement signals a transformative moment for the nation's artificial intelligence development.

Counter-Swarm Defense

An incident involving Iranian drone swarms exposing the cost asymmetry and fragmentation of current defense systems has prompted Y Combinator to solicit counter-swarm stack solutions. These new initiatives aim to replace traditional interceptor models with software-driven, non-kinetic technologies capable of neutralizing thousands of coordinated units through sensor fusion and autonomy targeting. The resulting infrastructure is expected to function more like scalable cloud networks than conventional weaponry, fundamentally shifting the defense paradigm from weapon operation to distributed system management.

Balaji Srinivasan on The Future of AI | The a16z Show

Balaji Srinivasan, Erik Torenberg

The speaker redefines human-AI collaboration by positioning humans as strategic leaders who direct specialized AI "actors," creating a trusted ecosystem where value shifts toward personalized, private instances and verification services. Parallel to this technological evolution, the discussion details a bifurcated future for digital currency in which Bitcoin serves as transparent institutional collateral while Zcash-powered tools like Zedal provide quantum-resistant privacy for individual transactions. Ultimately, the presentation argues that political constraints and resource scarcity will prevent centralized AI dominance, fostering a polytheistic landscape of decentralized models and democratized global entrepreneurship.

" It is very possible that the first people to live to a thousand are alive right now."

Max Hodak

Technological accelerations in artificial intelligence and brain-computer interfaces are driving a paradigm shift where the first individuals capable of living to 1,000 years may already exist. By 2035, widespread AI accessibility and new lateral treatments will reframe the human condition despite market undervaluation and low public awareness. These advancements will fundamentally reconfigure human interaction by creating functional equivalents to direct brain-to-brain communication.

Will the Iran war spread across the Middle East?

Greg, Anshul, Adam, Pete Hexeth

Experts warn that regional chaos in Iran could trigger a prolonged conflict, spiking energy prices and threatening the security models of Gulf states like Saudi Arabia and Qatar. While historically neutral, these nations are shifting toward military alignment with the US and abandoning diplomatic restraint as Iranian strikes backfire by uniting regional populations against Tehran. This escalation occurs amidst a US strategy driven by legacy considerations rather than broad public support, aiming to transform Iran's political landscape while balancing fears of a quagmire against the need to signal power to global rivals like China.

The New Way To Build A Startup

Garry

Companies such as GigaML, Legion Health, and PhaseShift are redefining operational scale by automating all internal workflows—from code integration to clinical operations—rather than merely augmenting isolated functions. This "20X company" model enables lean teams of just a few employees to service Fortune 500 clients and achieve fourfold revenue growth while maintaining flat headcounts that would traditionally require hundreds of staff. By treating internal processes as the primary product, these organizations achieve AGI-level productivity, allowing them to compete directly with massive incumbents without the corresponding payroll burdens.

AI Native Hedge Funds

A former quantitative researcher identifies the current inflection point where AI-native strategies are displacing legacy quantitative trading models, noting that established hedge funds are already lagging due to slow adoption. The initiative targets the development of autonomous "swarms of cloud agents" capable of synthesizing financial data and executing trades without human intervention to secure a decisive competitive advantage. This speaker is currently recruiting through Y Combinator to build the first fully automated financial firm that mirrors the paradigm shifts seen in the 1980s.

How To Get Your First Users

Ankit Gupta

Startup founders are urged to launch a Minimum Evolvable Product and secure paying customers through direct outreach to ensure rapid, pressure-driven evolution rather than aiming for immediate perfection. This strategy is particularly critical in the AI sector, where high computational costs necessitate targeting prosumers or businesses with deeper pockets over price-sensitive consumers. By treating early ventures as simple organisms capable of significant adaptation, founders can navigate path dependency where initial user choices fundamentally steer the product's final form and market relevance.

AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)

Oliver Hsu, Bryan Kim, David Haber

Speakers Oliver Hsu, Brian Kim, and David Haber analyze distinct trajectories for AI adoption, ranging from autonomous scientific discovery in life sciences to consumer platforms shifting focus from productivity to digital connectivity. Hsu identifies the maturation of robot learning and simulation as prerequisites for closing the loop on self-driving labs, while Kim argues that future consumer value hinges on AI agents facilitating human relationships through deep emotional engagement. Concurrently, Haber demonstrates that the most robust business models integrate AI to directly reinforce revenue generation and proprietary data loops, as seen in contingency law firms and loan servicing platforms that scale success rather than merely cutting costs.

Making GPUs Actually Fast: A Deep Dive into Training Performance

Corwin, Savant Diaz, Sylvain De Wecker

Jane Street engineers optimize deep learning infrastructure by eliminating CPU-GPU synchronization bottlenecks and fusing PyTorch operations via `torch.compile` and Triton to maximize throughput. When automated compilation fails on complex Python logic, they deploy custom CUDA kernels that leverage shared memory and warp-level reductions to achieve nearly 1,000x speedups in specialized tensor operations. This hierarchical approach, ranging from standard PyTorch to hand-optimized C++, ensures efficient utilization of the H100's 132 Streaming Multiprocessors and strict memory bandwidth constraints.