Latest Interviews
Showing 1–15 of 42 transcripts.
Clear all filters- a16z42 min
Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building
Jack Parker-Holder, Shlomi Fruchter, Anjney Midha, Marco Mascorro, Justine Moore, Erik Torenberg
Google DeepMind has released Genie 3, a research preview that generates interactive, photorealistic 3D worlds in real-time from text prompts to support navigation and control. Built by integrating insights from three internal projects, the model introduces spatial memory for one-minute object persistence and emergent physical reasoning to distinguish it from previous video generation systems. While currently limited to visual simulation without audio, Genie 3 aims to bridge the sim-to-real gap for robotics and agent training by providing diverse, high-fidelity environments free from physical data collection risks.
- a16z30 min
What You Missed in AI This Week (Google, Apple, ChatGPT)
Google's VO3 model and recent updates to ChatGPT voice and Apple Intelligence are driving a rapid shift toward autonomous video and narrative creation, allowing users to generate consistent multi-character scenes and human-like dialogue from single text prompts. These technological leaps, alongside Eleven Labs' emotion-tagging capabilities and data showing a doubling of consumer AI startup revenue, are establishing a "faceless" creator economy where entrepreneurs can build full-stack brands using AI-generated assets. While current limitations in character consistency and high inference costs persist, the industry is rapidly moving from experimental novelty to a dominant force in social media and professional workflows.
- a16z43 min
The State of Consumer Tech in the Age of AI
Erik Torenberg, Anish Acharya, Olivia Moore, Justine Moore, Bryan Kim
The discussion frames consumer AI as a velocity-driven market where relentless model updates replace traditional network effects, enabling premium pricing models that capture significant value by substituting high-cost labor. While mobile and wearable hardware currently serve as the primary substrate, the sector is navigating a transition from legacy social structures toward novel paradigms like synthetic selves and agentic actions that prioritize direct user utility over static interfaces. Ultimately, success depends on maintaining a technical frontier and evolving new social norms to support an ecosystem where AI companions and enterprise tools facilitate deeper human connection rather than displacing it.
- a16z41 min
Autonomy is no longer a moonshot—it’s a market
Erin Price-Wright, Qasar Younis, Jason Brown
Applied Intuition leverages a dual-use strategy that forces defense autonomy products to meet rigorous commercial benchmarks before government adoption, ensuring validity through real-world market competition. The company is capitalizing on the convergence of Waymo and Tesla methodologies to modernize legacy defense platforms while introducing transformative transformer-based architectures for swarm and collaborative autonomy. By bridging the gap between rapid commercial software development and the Department of Defense's traditional hardware-centric procurement culture, the firm is actively reshaping defense acquisition models to accelerate the deployment of scalable, cost-effective autonomous systems.
- a16z30 min
Can We Detect a Deepfake?
Vijay Balasubramaniyan, Martin
Deepfake generation has exploded with a 1,400% volume surge and a reduction in required source audio to mere seconds, driving financial fraud attempts to a daily frequency per customer and fueling political misinformation. Despite these threats, defenders maintain an economic advantage as detection costs remain a fraction of generation expenses, leveraging unique algorithmic artifacts and frequency anomalies to identify synthetic media with 99% accuracy. Industry experts consequently advocate for platform accountability in labeling AI content and regulatory frameworks modeled on KYC acts, while preserving ethical applications such as voice restoration for medical patients.
- a16z35 min
How to Build a Thriving AI Ecosystem with Lisa Su, CEO of AMD
AMD Chair and CEO Lisa Su outlines the company's transformation into a leading AI infrastructure provider through strategic acquisitions of Xilinx and ZT Systems, alongside a commitment to open standards like UALink. Su emphasizes that overcoming current supply bottlenecks in advanced packaging and high-bandwidth memory requires a shift from efficiency to supply chain resiliency supported by the CHIPS Act. This approach enables AMD to partner with major hyperscalers and startups to deliver heterogeneous computing solutions capable of training next-generation models with trillions of parameters.
- a16z26 min
7 Ways to Boost Retention (Both Pre- and Post-AI)
Experts identify seven distinct, cost-efficient retention methodologies that can elevate Day 30 retention rates from a standard 20% to an exceptional 35%. These mechanisms range from accelerating speed-to-value and implementing feature-gated onboarding to leveraging smart notifications, maintaining user streaks, and utilizing AI-driven personalization. By adopting strategies like designing reciprocity and granting status to power users, companies can transform user acquisition costs into sustainable growth while avoiding the "bird forest" pitfall of exhaustible demand.
- a16z30 min
Marco Argenti (Goldman Sachs): Turning Developers into Clients
Marco Argenti, a veteran engineer whose career spans four major technology shifts, now leads Goldman Sachs' engineering strategy by treating internal developers as primary customers to drive a culture of rapid, standardized innovation. Leveraging a "look outside first" approach and a selective AI pilot program, the firm has achieved productivity gains of up to 40% while preparing to expand generative tools to knowledge workers across its financial services division. Argenti predicts that within a decade, this hybrid AI architecture will transform the industry into a real-time business where speed of pricing and decision-making becomes the defining competitive advantage.
- a16z39 min
Text to Video: The Next Leap in AI Generation
Anjney Midha, Andreas Blattmann, Robin Rombach
Released on November 21st, Stable Video Diffusion is a state-of-the-art open-source model that generates short video clips from single input images by prioritizing the learning of complex physical properties like 3D consistency and camera movement. The architecture employs diffusion methodology over autoregressive methods to optimize perceptual details and utilizes LoRA adapters for scalable control of camera motion, while training strategies focused on temporal dynamics and specific 3D orbit refinement to achieve surprising reasoning capabilities in as few as 2,000 iterations. This release continues the team's philosophy of driving innovation through algorithmic efficiency rather than sheer compute volume, having already catalyzed a rapid ecosystem of community experimentation and set a roadmap for longer sequences and future audio integration.
- a16z33 min
Creating a Supportive Builder Community with Plaid's Zach Perret
Founded by Zach Perret, Plaid strategically pivoted from a consumer budgeting app to a B2B API infrastructure provider in 2012 after identifying that solving the technical challenge of connecting bank accounts to applications offered a more viable market. The company established its market dominance by prioritizing product-led distribution, cultivating trust through personal community engagement, and intentionally tracking former employees as "free radicals" to secure widespread adoption across the financial sector. This approach allowed Plaid to delay revenue acceleration until major clients like Venmo and Robinhood converted from long-term free trials, fundamentally reshaping how software developers integrate financial data.
- a16z32 min
Welding Yourself to Early Customers with Marqeta's Jason Gardner
Founded in 2010 by Jason Gardner, Marqueta pivoted from an initial consumer card concept to a B2B infrastructure provider after securing $5.2 million in Series A funding to develop real-time transaction authorization technology. The company achieved product-market fit by solving fraud and speed issues for food delivery platforms through its "Just-In-Time" system, subsequently expanding into the Buy Now, Pay Later sector with major partners like Affirm and Klarna. Marqueta's strategy prioritized deep operational integration with clients over immediate profitability, eventually becoming a leading global card technology solution for high-growth verticals including Square's Cash App.
- a16z23 min
Chasing Silicon: The Race for GPUs
A severe global shortage of AI compute capacity, where demand exceeds supply by tenfold, is forcing startups to navigate complex procurement hurdles and strategic investment partnerships to secure production-level hardware. Guido Appenzeller advises founders to carefully evaluate whether to rent specialized cloud infrastructure or own assets, while leveraging open-source models and local edge computing to mitigate the performance gaps of current closed systems. This shifting landscape is driving a fundamental transformation in software construction, creating a "Cambrian explosion" of opportunity for entities that can effectively manage the new technical stack required for neural network-based problem solving.
- a16z41 min
Ben Horowitz on Executive Firing (and Hiring)
A16Z's Growth Team has synthesized insights from dozens of leaders to provide a comprehensive framework for hiring and managing executives during the critical scaling phase from 2 to 500+ employees. The guide identifies common failure modes such as role stagnation and context gaps while offering specific protocols for onboarding, managing superpowers, and conducting dignified terminations to preserve organizational morale. By emphasizing the need for leaders who can write new playbooks rather than replicate past systems, the resource helps CEOs mitigate the high costs of executive turnover and ensure sustainable growth.
- a16z45 min
Embedded AI: The Questions Every CEO is Asking
Zayd Enam, Barry McCardel, Beyang Liu, Zed Inam
In 2022, AI adoption surged following the historic growth of ChatGPT, prompting industry leaders like Cresta CEO Zed Inam to address critical challenges such as 30–40% agent attrition and the need to balance data privacy with automation speed. Experts from Sourcegraph and Hex distinguished their solutions by prioritizing context-rich data and maintaining human oversight, utilizing strategies like open-source transparency and model agnosticism to mitigate vendor lock-in and security risks. The consensus points toward a 2028 future where contact centers evolve into "touchless" environments, transforming agents from reactive problem solvers into strategic relationship builders while advanced bots handle routine inquiries.
- a16z41 min
Beyond Avatars: How AI is Reshaping Online Identity (Danny Postma and Sinead Bovell)
The digital creator economy has rapidly shifted from labor-intensive CGI to accessible generative AI, enabling non-experts to produce vast quantities of synthetic imagery for pennies per unit while major retailers adopt these tools for supply chain forecasting and trend analysis. This technological leap has sparked wage deflationary pressure across creative sectors and intensified legal debates over intellectual property, even as early-stage ventures struggle to build sustainable business models in a collapsing commodity market. Despite these disruptions, industry experts emphasize that high-fashion creativity remains resistant to full automation, driving a new demand for specialized, high-friction tools that solve specific brand consistency problems rather than competing in saturated general-purpose categories.