Latest Interviews
Showing 481–495 of 9,621 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.
- RAISE Summit19 min
Fireside Chat with Parag Agrawal, Founder & CEO of Parallel Web Systems | RAISE Summit 2026
Parag Agrawal, Karim Jalbout, Vineet Bhanwajani, Vineet Bhanuri, Vineeth Pandey, Vikas Khannabiswamy
Parallels founder Vikas Khannabhiswamy redefined the scale of AI web usage, forecasting agents will consume data 100,000 to 1,000,000 times more than humans by deploying a specialized infrastructure layer for high-volume knowledge work. The platform addresses critical limitations of standard LLMs by integrating real-time web search and applying Shapley values to automate fair compensation for content owners, thereby disrupting traditional web monetization models. This approach targets sectors like AI law, science, and coding while establishing a new revenue framework where publishers are paid proportionally to their specific data contribution.
Hyperscalers Are Out of Capacity? | MongoDB CEO
Driven by hyperscaler capacity shortages and stringent data sovereignty requirements, major enterprises are migrating workloads back on-premises while adopting heterogeneous AI architectures to manage complex agentic environments. CEO CJ Desai leads MongoDB's strategic response by prioritizing real-time, operational database solutions for AI-native startups and Fortune 500 clients, shifting from traditional model selection to a focus on deterministic outcomes and autonomous administration. This approach positions the company to capitalize on the "AI super cycle" by ensuring the high-quality data layer required to transition experimental prototypes into scalable, production-grade applications in sectors like banking and aviation.
- RAISE Summit37 min
Powering AI Infrastructure: Solving the 21st Century Manhattan Project | RAISE Summit 2026
Shaun O'Meara, Alex Saroyan, Vik Malyala, Ben Richardson, June Paik, Jeremie Eliahou Ontiveros, Jeremy, Sean Amara, Jun
By 2027, major AI infrastructure players like Anthropic and CoreWeave aim to scale capacity to tens of gigawatts while overcoming significant hurdles in power delivery, regulatory fragmentation, and supply chain delays. Industry leaders such as Ben Richardson and Sean Amara advocate for standardized, modular architectures and digital twin simulations to mitigate execution risks and reduce the total cost of ownership for inference-heavy workloads. This strategic shift prioritizes operational reliability and full-stack interoperability to support the transition from centralized training clusters to distributed enterprise inference environments.
- RAISE Summit20 min
AI Compute: Rebuilt for the Agentic Era | Mark Papermaster, AMD | RAISE Summit 2026
Mark Papermaster, Karim Jalbout
Driven by a surge in AI adoption that propelled its market capitalization from $200 billion to nearly $1 trillion, AMD is targeting server CPU market leadership through a holistic system design philosophy that includes the upcoming 72-node "Helios" rack and two-nanometer "Venice" processors. The company has transitioned from component manufacturing to integrated rack-level solutions by acquiring ZT Systems and deploying open-standard AI stacks across major European supercomputers to address data sovereignty and energy efficiency demands. Underpinning this growth is a scrappy corporate culture focused on customer collaboration, which has enabled a strategic shift toward agentic AI workflows and expanded training for its 33,000-person workforce to align with enterprise needs.
- RAISE Summit25 min
AI, Security & Economic Power: A New Playbook for Democracies | Sebastian Kurz | RAISE Summit 2026
Sebastian Kurz, Jacob Helberg, Sebastian Matthes
At the second Pax Silicon Summit in Washington, European nations acceded to the Paxilica initiative while leaders like Jacob and Sebastian debated the viability of sovereign AI against a backdrop of historic U.S. economic growth driven by an AI boom. The discussion highlighted a strategic divergence where the U.S. promotes an ecosystem-based approach to sovereignty and deregulation, contrasting with European concerns over the Digital Markets Act and the high costs of total vertical integration. Ultimately, experts emphasized that while foundational model dominance remains difficult for Europe, securing critical infrastructure and shifting toward competitiveness are essential to prevent total reliance on superpowers or losing the financial capacity for social welfare.
- RAISE Summit20 min
Qasar Younis, Applied Intuition & Mamoon Hamid, Kleiner Perkins | RAISE Summit 2026
Founded by automotive veterans Mamoun Lachheb and Peter, Applied Intuition pivoted from a robotic taxi ambition to a self-funding platform generating revenue from commercial L4 trucking in Japan and a multi-hundred million dollar defense sector. The company now distinguishes "Physical AI" through end-to-end transformer models that enable dynamic human-machine collaboration across diverse vehicle form factors while maintaining radical pragmatism by keeping 93% of its $1 billion in capital on the balance sheet. This strategy supports a culture of radical pragmatism where over 1,000 engineers prioritize profitability and survival, fostering a "founders mafia" of 40 alumni who spin out new ventures using the company's shared infrastructure.
- RAISE Summit20 min
Fireside Chat with Ekin Dogus Cubuk, Co-CEO of Periodic Labs | RAISE Summit 2026
Founded by former Google Brain and DeepMind researchers, a new company is deploying a hybrid infrastructure of large language models, reinforcement learning, and high-throughput robotics to overcome data limitations in physical science. The Bay Area laboratory automates semiconductor and materials research by executing thousands of daily experiments to create a recursive improvement cycle for chip manufacturing and solid-state chemistry. With an immediate goal of reaching 1,000 experimental trials per day, the venture aims to generate rapid process engineering breakthroughs for the industry while evolving toward profitable intellectual property generation.
- RAISE Summit21 min
The Uncomfortable Math of Frontier AI in Production | Kavitha Mariappan | RAISE Summit 2026
At RAISE, approximately 110 exhibitors, including 18% startups and 30% scale-ups, convened to address the shift from perimeter-based security to resilience against autonomous AI agents that now possess economic agency and emergent capabilities. Recent threat intelligence reveals that 53% of recent attacks are AI-related, with adversaries exploiting embedding space geometry and open-source models to bypass traditional deterministic defenses while 88% of enterprises lack the ability to roll back unauthorized agent actions. Experts recommend a strategic pivot toward assuming breach status by inventorying non-human identities, rotating machine tokens, and prioritizing recovery protocols over prevention to counter the asymmetric advantages held by autonomous threats.
- RAISE Summit21 min
From AI Adoption to AI ROI | Glean & Altimeter Capital | RAISE Summit 2026
Arvind Jain, Apoorv Agrawal, Vikas Khannabiswamy, Shyam Gollakota, Vikram Bajaj
Glean, co-founded by former Google and Rubrik executive Arvind Krishnan, differentiates itself in the enterprise AI market by building a proprietary context graph and retrieval layer rather than developing foundation models. The company is strategically pivoting from personal productivity tools to measurable departmental use cases like customer service and legal review to demonstrate clear return on investment amid rising infrastructure costs. By maintaining neutrality across major model providers and utilizing limited forward-deployed engineering, Glean aims to solve the critical gap between raw AI capabilities and secure, accurate enterprise implementation.
- RAISE Summit21 min
The New AI Challenge: Trust, Control, and Scale | JetBrains x NVIDIA | RAISE Summit 2026
As enterprises transition from individual AI literacy to team-level agentic deployment, a strategic shift is required to restructure engineering units into integrated "teams of builders" that maintain shared context across the product lifecycle. This evolution necessitates a three-layer governance framework combining individual tool integration, centralized platform policy enforcement, and collaborative team environments to ensure agentic intelligence remains observable, traceable, and auditable. By leveraging open standards like the Agent Communication Protocol and secure infrastructure solutions, organizations can mitigate risks such as shadow AI and prompt injections while focusing on extracting tangible business value from agentic inference rather than superficial metrics.
- The Diary Of A CEO2h 23m
Alex Hormozi’s Warning: Stop Chasing AI, Build This Instead!
Alex Hormozi outlines a comprehensive framework for navigating business growth, personal resilience, and technological adaptation following the tragic loss of his mother four weeks after a record-breaking book launch. He argues that sustainable success requires prioritizing long-term foundational stability over short-term speed, leveraging "anti-human" traits like patience, and deploying AI only for tactical efficiency while preserving human judgment for high-stakes decision-making. Furthermore, Hormozi emphasizes that future competitive advantages will rely on tangible accountability, real-world stakes, and specialized team structures rather than generic automation, all while maintaining rigorous focus on financial metrics and customer retention.
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.
- The Economist7 min
Why the AI race won't have a winner | The Economist
Europe is pursuing a fragmented AI strategy that leverages sovereign capabilities in specific domains like audio processing and symbolic reasoning to capture a projected $1 trillion market without relying on a single US provider. National governments in France, Luxembourg, and other states are accelerating industrial policy to secure strategic power comparable to oil, prioritizing the ownership of AI infrastructure to enhance civil servant productivity. This approach aims to stabilize the region's economy against global commercial imbalances while addressing demographic challenges by using AI to augment, rather than replace, the aging workforce.
AMD, Starcloud, Coatue..10 Hot Takes From The Biggest Names in AI
Max Cook, Matan Grinberg, Pim de Witte, Philip Johnston, Mark Papermaster, Rodrigo Liang, Ramin Hasani, Robin Rombach, Chris Madden, Henri Delahaye, Molly, Philippe, Thomas
At the RAISE Summit, industry leaders like Max Cook and Matan outlined a decisive shift toward agentic AI ecosystems that replace traditional interfaces with natural language and naturalize the routing between frontier and open-source models based on latency and cost. Concurrently, hardware giants such as SambaNova and StarCloud announced billion-dollar investments and space-based compute strategies to overcome power constraints and enable efficient inference on edge devices. This convergence of sovereign AI initiatives, supply chain scaling, and automated software engineering marks a global transition where enterprises treat AI as a deployed product rather than a research tool.