Latest Interviews
Showing 136–150 of 3,489 transcripts.
Clear all filtersThe Open-Source AI Reality | How Token Costs Will Fall 10X & Usage Will Explode 100X | Lin Qiao
Fireworks AI founder Lin Kuao positions the company as an infrastructure-focused platform specializing in customized intelligence rather than general applications, predicting a market shift toward millions of specialized models driven by a tenfold reduction in token costs. With annual recurring revenue currently at $800 million and processing over 40 trillion tokens daily, the firm aims to double its ARR to $1.6 billion by year-end while prioritizing the deployment of open-source models for enterprise workflows. To support this high-velocity growth, Kuao has recruited former Salesforce President George Huang to expand the go-to-market team, emphasizing a strategy that balances aggressive hiring of high-ownership talent with a "Zero KLD" training architecture that ensures numerical equivalence between training and inference.
SemiAnalysis, Altimeter, Nebius, Glean.. 12 Hot Takes From Biggest Names in AI
Dylan Patel, Qasar Younis, Apoorv Agrawal, Arvind Jain, Ariel Cohen, CJ Desai, Gil Feig, Nikhil Benesch, Barak Kaufman, Max Junestrand, Marc Boroditsky, Laura Diorio, Kasser, Mark
RAISE Paris marked a decisive industry shift from speculative hype to enterprise-grade cost reconciliation, as buyers now demand clear ROI and physical AI adoption outpaces volatile large language model growth. Key figures including Applied Intuition's Kasser and analysts from Altimeter Research warned of an impending market bust driven by unsustainable spending, while companies like Navan and TurboPuffer demonstrated new economic models focused on profitability and reduced inference costs. The event concluded with a consensus that success requires resilient multi-model strategies, robust data layers, and a global expansion mindset to navigate rising hardware prices and geopolitical energy constraints.
We Built Our Own Salesforce in Months. Here's Why We're Cancelling the $600K Contract | Curative CEO
Fred Turner scaled Curative from a failed biotech startup into a $5 billion COVID-19 testing operation by deploying a custom supply chain and leveraging government contracts, eventually pivoting the company into a $1.3 billion health insurance provider. The venture now utilizes in-house AI agents like "Gwen" to automate provider contracting and credentialing, drastically reducing operational costs while Turner co-founded Subcritical to advance regulatory hurdles for next-generation nuclear energy. Following a 10x return for initial investors, the organization exemplifies a shift toward AI-driven workforce architectures and aggressive cost reduction strategies within the fragmented US healthcare market.
- All-In Podcast1h 30m
Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
Demis Hassabis, Mira Murati, Jason Calacanis, Chamath Palihapitita
DeepMind's Demis Hassabis and major industry leaders are advancing a US-led self-regulatory organization for AI that prioritizes independent expert oversight over government agencies to prevent global developmental stagnation. While this framework aims to manage catastrophic risks through voluntary-to-mandatory adoption, skepticism remains regarding potential regulatory capture by major labs and competing strategies to impose stricter federal certifications. Concurrently, the sector faces disruptive financial and legal dynamics, including a proposed Stripe-PayPal-Block merger and a high-profile trade secret lawsuit between Apple and OpenAI, as the industry navigates severe energy constraints and a widening cost gap between enterprise and frontier models.
- Stanford Online49 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences
Eric Kauderer-Abrams, Apoorv Agrawal, Eric Abrams, Josh
Chai Discovery and Anthropic are establishing a new drug discovery paradigm by serving as tool providers that convert biological engineering from a trial-and-error art into a scalable, AI-driven discipline. By integrating large language models with wet-lab validation, these firms aim to compress the traditional ten-year development cycle into five years while democratizing research capabilities for individual scientists. The convergence of these technologies, supported by massive data generation and strategic partnerships with major pharmaceutical companies, positions AI-native infrastructure as the critical lever for the United States to compete globally in biotech.
- Y Combinator1h 14m
World Models, JEPA And The Path To Sample-Efficient RL
This event analyzes the critical bottleneck of sample efficiency in artificial intelligence, contrasting current deep learning models' massive data requirements with the human brain's ability to learn from minimal experience through superior world modeling. The discussion details how advancements in non-differentiable control theories, video diffusion architectures, and Joint Embedding Predictive Architectures are shifting strategies from model-free behavior cloning to synthetic, simulation-based planning for complex robotic and autonomous driving tasks. By addressing scaling challenges in high-dimensional action spaces and architectural limitations like the Transformer's inefficiency in time-domain compression, the presentation outlines a roadmap toward general-purpose robotics and AGI by 2026 through the integration of "awake sleep" mechanisms and physics-informed predictive systems.
Inference 101: SambaNova CEO Rodrigo Liang
Sambanova has secured its first $1 billion tranche at an $11 billion valuation, bringing its total capital raised to $2.5 billion as it pivots to optimizing inference for trillion-parameter models. The company's SN40 architecture enables premium, high-accuracy inference within standard 10-kilowatt air-cooled racks, offering a scalable alternative to the massive, liquid-cooled data centers required by competing GPU technologies. This infrastructure strategy, led by founder Rodrigo Yang, supports a heterogenous data center model and edge deployments to meet the latency demands of agentic AI while allowing cloud providers to maximize revenue per rack.
- Milken Institute57 min
The Future of Decision Intelligence | Global Conference 2026
Dan Primack, Stephanie Guild, Paul Liberman, Brian Quintenz
Former CFTC Commissioner Brian Quintenz, Robinhood CIO Steph Gild, and DraftKings President Paul Lieberman discussed how regulated prediction markets like Kalshi aggregate disaggregated information into high-frequency sentiment signals that surpass traditional polling and institutional research. The panelists distinguished these federally licensed derivatives from unregulated gambling by highlighting their role in price discovery, the use of real capital to reduce emotional bias, and robust surveillance systems that deter insider trading. Looking ahead, the speakers anticipate expanding contract categories into corporate earnings and geopolitical events while maintaining that these tools serve as complementary data points for investment portfolios rather than sole decision-making authorities.
Meta Takes on OpenAI | Apple Sues OpenAI | SK Hynix’s $26BN IPO
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Apple has sued OpenAI alleging trade secret theft by two former employees, a move that threatens OpenAI's hardware ambitions while the company simultaneously counters with its Spark 1.1 API launch, which introduces a pay-per-use pricing model specifically optimized for coding tasks. Concurrently, the broader infrastructure landscape is reshaping as SK Hynix executes a record $26.5 billion NASDAQ IPO amid rising memory costs that are cannibalizing traditional IT budgets and forcing a market-wide re-evaluation of AI spend ceilings. These strategic shifts are accompanied by a significant pivot in venture capital from early-stage betting to late-stage growth financing and SaaS roll-ups, as investors increasingly prioritize sustainable pacing and deal structures that account for the terminal decay of legacy software.
- All-In Podcast50 min
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
Pat Gelsinger, Jason, Anton Osika
Intel CEO Pat Gelsinger diagnosed the company's strategic decline as a fifteen-year period of non-technical leadership that diverted $100 billion to shareholders rather than manufacturing infrastructure, allowing competitors like NVIDIA and TSMC to seize market dominance. He further warned of acute geopolitical risks to the semiconductor supply chain in Taiwan while projecting that AI growth will be constrained by energy capacity rather than a speculative bubble. Concurrently, Lovable founder Anton Osicka outlined a business model achieving $600 million in revenue by leveraging AI to enable non-technical users to build production-ready software, fundamentally reducing development costs and accelerating enterprise tool creation.
- The Economist56 min
A full-length interview with Tucker Carlson | The Economist
Tucker Carlson, Zanny Minton Beddoes, Jamin Beddows
Tucker Carlson argues that the United States has lost its strategic direction in the Middle East by allowing Israeli leadership to dictate security policy that accelerates regional chaos and undermines long-term national interests. He contends that America must pivot toward a power-sharing arrangement with China, abandoning futile defenses of Taiwan while reestablishing a central alliance with Europe to counter Russian influence. Ultimately, Carlson asserts that current US foreign policy is non-strategic and driven by foreign lobbying rather than the national interest, urging a return to an America First doctrine focused on geographic spheres of influence.
Senra Systems' $65M Series B: Fixing Aerospace & Defense's Biggest Bottleneck
Jordan Black, Ken Venner, Molly O'Shea
Senra Systems successfully closed a $65 million Series B round led by Lower Carbon and Interlagos, bringing its total capital to $100 million while integrating SpaceX veteran Ken Venner into its executive leadership. The company addresses the critical bottleneck in wire harness assembly by deploying a proprietary Manufacturing Operating System and accelerated training program to transform fragmented, manual processes into scalable software-driven production for defense and commercial clients. With an 80,000-square-foot facility already producing 4,000 units weekly and a strategy to replicate this model globally, Senra aims to automate complex manufacturing workflows to support the surging demand in electrification, aerospace, and satellite sectors.
- Sequoia Capital49 min
Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
Katelyn Lesse, Angela Jiang, Sonya Huang, Lauren Reeder, Caitlin
Anthropic is pivoting its platform strategy from a knowledge-centric foundation to an execution and coordination layer, aiming to democratize custom software development through a unified architecture for both internal and external users. This roadmap introduces specialized primitives for "token-heavy" verticals like coding and finance while enabling flexible model routing and ecosystem interoperability through standards like the Model Context Protocol. By prioritizing cost optimization and advanced workflow orchestration, the company seeks to make the last mile of AI-driven development economically viable for builders ranging from individual developers to large enterprises.
- All-In Podcast52 min
The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour
Eleven Labs reported $600 million in annual recurring revenue with zero attrition among its founding staff, while Legor achieved $150 million in direct sales by replacing hourly billing with AI-driven transaction models in the legal sector. These companies illustrate a market shift where specialized AI agents handle complex tasks like voice restoration and legal analysis, respectively, without relying solely on general-purpose frontier models. By embedding engineers directly into product teams and utilizing narrow, fine-tuned systems, both firms prioritize security, data quality, and rapid deployment over traditional scaling methods.
Wix Founder: Will Base44 Win the Vibe-Coding Wars? | The Truth About the Economics of Vibe-Coding
Avishai Abrahami, Harry Stebbings
Wix CEO Avishai Shalom defends the company's dual-platform strategy, which combines its $2.1 billion visual website builder with the $150 million ARR AI coding subsidiary Base44 to address market concerns over AI disruption. Despite a recent $80 million acquisition of a solo-founder engineering team and a $1.5 billion stock buyback, the company forecasts a hybrid future where Base44's headcount could double to 1,000 within two years to serve enterprise and custom needs. Shalom asserts that while AI will boost SMB efficiency in low-complexity tasks, the high trust and switching costs of Wix's established platform will continue to protect its core business from a complete market valuation collapse.