newsfilter.io

Latest Interviews

Showing 406–420 of 892 transcripts.

Clear all filters
  1. Goldman Sachs38 min

    Bigger markets, more alpha: Capstone’s Paul Britton on running a derivatives hedge fund

    Paul Britton, Tony Pasquarello

    Founded in 2004 by Paul Brittain, Capstone Investment Advisors transitioned from options market making to a $11 billion multi-asset firm that leverages post-2008 risk framework reforms to generate alpha through derivative strategies. The firm currently manages a 330-person organization utilizing AI to automate workflows and maintains a distinct focus on providing liquidity overlays for institutions heavily allocated to private assets. Looking forward, leadership anticipates a shift away from central bank interventions toward higher market elasticity, a structural change that Brittain believes will favor active management strategies employing rigorous process discipline.

  2. a16z23 min

    How to spot an AI Deepfake

    Brian Long, Joel de la Garza

    Over 90% of security attacks now target human behavior, with AI-driven social engineering tactics like deepfakes and voice cloning surging to affect millions globally and enable sophisticated impersonations of corporate leaders and government officials. Experts warn that while current losses are financial, these threats pose imminent risks to critical infrastructure and human safety, driven by open-source models that allow adversaries to automate attacks without significant cost barriers. To counter this evolving landscape, organizations must shift from static compliance training to continuous, adaptive simulations and deploy defensive AI agents capable of countering automated offensive operations.

  3. a16z21 min

    Avoiding vulnerabilities in AI code

    Dylan Ayrey, Joel de la Garza

    Recent AI advancements have led to the adoption of AI-generated code in 20% of enterprise codebases, though research highlights critical security vulnerabilities such as hardcoded secrets and insecure patterns. To address the alignment challenge, organizations currently rely on techniques like data curation and Constitutional AI, yet these methods face trade-offs between safety and functional utility in data science workflows. Consequently, industry experts recommend that medium-to-large teams maintain a human-in-the-loop "buddy system" for code auditing until autonomous security governance tools mature, rather than removing human review processes.

  4. Sequoia Capital33 min

    OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents

    Isa Fulford, Josh Tobin, Sonya Huang, Lauren Reeder

    Launched three weeks ago, OpenAI's Deep Research is an agentic system powered by a fine-tuned O3 model that executes complex, multi-hour tasks like market analysis and medical research in 5 to 30 minutes. Utilizing reinforcement learning to optimize browsing and coding strategies, the tool distinguishes itself through a pre-research clarification flow that refines user prompts for higher-quality synthesis. As part of a broader 2025 shift toward agent-driven workflows, this technology aims to amplify knowledge workers by automating information-intensive processes previously deemed too time-consuming.

  5. The Economist24 min

    Left, right and centre: Germany’s election

    Jason Palmer, Tom Nottel, Anton LaGuardia

    Friedrich Merz is poised to become Germany's next Chancellor following a decisive CDU-CSU victory that left the SPD in opposition after smaller parties failed to reach the parliamentary threshold. His administration faces the immediate challenge of forming a coalition to address six years of economic stagnation while navigating constitutional hurdles to relax debt limits and managing a potential diplomatic rift with the SPD over strict immigration proposals. Merz has signaled a shift toward European defense autonomy due to concerns over US reliability, aiming to finalize these coalition negotiations by April to address urgent security and economic imperatives.

  6. a16z42 min

    Agents, Lawyers, and LLMs

    Aatish Nayak, Kimberly Tan

    Harvey, a domain-specific AI firm led by product leader Matish, automates legal workflows for transactional, litigation, and in-house sectors by replicating law firm hierarchies through agentic systems rather than simple chat interfaces. The company scales its adoption by employing lawyers as account executives and maintaining strict data security via an "eyes off" policy and exclusive reliance on Azure-deployed OpenAI models. As demand shifts from skepticism to active integration requests, Harvey focuses on deep workflow embedding and custom fine-tuning to return 30–40% of attorney time to high-value creative work while expanding into tax, finance, and HR verticals.

  7. Y Combinator35 min

    How To Build The Future: Aravind Srinivas

    Aravind Srinivas, David Lieb

    Perplexity achieved a valuation exceeding $9 billion by pivoting from enterprise prototypes to a consumer search engine that leverages modern LLMs to summarize top search results while adhering to a "user is never wrong" philosophy. Founder Aravind Srinivas credits the platform's exponential growth to viral user adoption and a strategic focus on engagement metrics rather than complex agent-based browsing. Looking ahead, the company aims to evolve into a full-stack decision engine capable of executing end-to-end tasks like booking travel, thereby overcoming the current industry split between information retrieval and commercial monetization.

  8. The Economist25 min

    Friends (the one with estrangement): Europe without the US

    Pableaux Johnson, Rosie Bloor, Jason Palmer, Christopher Lockwood, Alex Domas, John Fasman

    Vice President J.D. Vance and President Trump have shifted US policy to prioritize European security autonomy, sparking fears of a NATO unraveling if the US withdraws its commitment to Ukraine in favor of a bilateral deal with Vladimir Putin. In response, European leaders from France, Germany, and the UK are urgently convening to bridge a massive defense spending gap and develop a collective security strategy capable of operating without American participation. Simultaneously, global labor markets face potential restructuring as economists propose a "work-from-home tax" model, though current employer mandates and worker leverage have so far stalled the implementation of salary reductions in exchange for remote flexibility.

  9. Sourcery with Molly O'Shea40 min

    Taking on an $80 Billion Dollar Market with Gen Z | Dylan Diamond

    Dylan Diamond, Molly O'Shea

    Saturn, a calendar infrastructure platform for high schoolers founded by Dylan Field, has secured over $68 million in backing from investors like Jeff Bezos and General Catalyst by leveraging AI to automate schedule management and achieve top App Store rankings. The company differentiates itself from passive social media through a unique viral model that maintains high retention even when friends disengage, while simultaneously launching a precise, event-based ad network that successfully drove rapid inventory depletion for major brands like Nike. With a strategic roadmap to evolve from school-centric scheduling to a lifelong personal relationship graph, Saturn positions itself as a proactive productivity partner for Gen Z rather than a digital consumption tool.

  10. a16z40 min

    Who Will Own the Internet? a16z’s Chris Dixon on AI and Crypto

    Chris Dixon, David George

    The event analyzes the convergence of AI, cryptocurrency, and advanced hardware as a reinforcing technological trifecta, highlighting a critical shift toward centralized, closed-source models that threaten to concentrate economic power among a few major incumbents. To counter this consolidation, the discussion details emerging decentralized solutions such as crowd-sourced compute networks, blockchain-based intellectual property enforcement, and physical infrastructure incentives that aim to restore value distribution to individual creators and small startups. Speakers warn that while the current "skeuomorphic" phase of AI replaces existing jobs, the transition to a "native" phase of entirely new behaviors is bottlenecked by regulatory uncertainty, human creativity, and the need to establish verifiable human identity systems like Worldcoin.

  11. The Economist23 min

    Colour visions: a German-election lookahead

    Rosie Bloor, Jason Palmer, Tom Nuttall, Moeka Iida, Jeff Goddard, Charlotte Kilpatrick

    Germany's upcoming federal election features a fragmented parliament where Chancellor candidate Friedrich Merz leads polling but faces complex coalition hurdles due to the AfD's exclusion and the precarious status of smaller parties like Die Linke and the BSW. Simultaneously, Japan is undergoing a cultural reckoning following the resignation of celebrity Nakai Masahiro for assault, sparking public outrage that exposes deep-rooted legal and societal barriers despite recent reforms raising the age of consent. In London, the traditional pie and mash shops that defined Cockney culture since the Victorian era are vanishing due to rising rents and demographic shifts, forcing surviving establishments to diversify menus with vegan options to adapt to changing customer bases.

  12. a16z37 min

    Reasoning Models Are Remaking Professional Services

    Alex Immerman, George Sivulka

    Hebbia, founded by George, positions itself as an AGI-native platform designed to automate complex, high-stakes financial workflows by leveraging scaling laws and deep research capabilities to process proprietary, unstructured data. The platform delivers quantifiable ROI for buy-side firms by reducing due diligence time from weeks to seconds and enabling analysts to screen 137% more opportunities through pre-built agents and infinite context windows. Looking forward, the company aims to transform private markets into a structured ecosystem similar to the Bloomberg Terminal while driving a broader economic shift where AI agents contribute over 50% of global GDP within a decade.

  13. Goldman Sachs22 min

    FedEx founder & chairman Fred Smith on transforming global logistics

    Fred Smith, David Solomon

    FedEx founder Fred Smith established a revolutionary hub-and-spoke logistics network grounded in military matrix management and the "People, Service, Profit" philosophy to scale operations globally while retaining key talent. Under his leadership, the integration of real-time tracking with a massive air and ground fleet enabled the company to handle approximately six percent of U.S. GDP and provide unique economic data insights into consumer trends. Today, Smith emphasizes that maintaining defensible competencies in artificial intelligence and digital transformation is critical for navigating the rapid market shifts that threaten legacy business models.

  14. a16z44 min

    What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In

    Martin Casado, Steven Sinofsky

    Following the surprise release of the DeepSeek-R1 model, which matched top-tier Western capabilities for an estimated $5–6 million, global markets experienced a trillion-dollar correction while the technology disrupted industry scaling norms through permissive licensing and public reasoning traces. This event challenges the necessity of brute-force compute investment, signaling a strategic shift toward application-layer value capture and exposing the limitations of current U.S. export controls in stifling foreign AI innovation. Ultimately, the release forces a reevaluation of competitive dynamics, suggesting that future progress will rely on engineering efficiency and specialized enterprise workflows rather than traditional parameter scaling or closed ecosystems.

  15. a16z30 min

    How AI is Powering Payments, with Greg Ulrich of Mastercard

    Greg Ulrich, Marc Andrusko, Mark

    MasterCard Chief AI and Data Officer Greg Ulrich outlines a strategic framework that segments artificial intelligence into four pillars—Safer, Smarter, More Personal, and Stronger—to address specific business needs ranging from fraud detection to internal operational efficiency. This approach has yielded concrete implementations such as the "Decision Intelligence" system for ecosystem-wide security, the "Shopping Muse" chatbot for personalized recommendations, and a Retrieval Augmented Generation-based onboarding assistant that maintains accuracy through human oversight. Looking ahead, the organization emphasizes cautious adoption of generative AI in regulated environments while prioritizing data security, multi-modality, and the development of reasoning models that explicitly acknowledge uncertainty.