Latest Interviews
Showing 106–120 of 2,630 transcripts.
Clear all filters- RAISE Summit21 min
MiniMax: Scaling Intelligence for Everyone | Linda Sheng | RAISE Summit 2026
Minimax has transitioned into a global public leader by deploying its M3 multimodal model, which offers a million-token context window and natively processes text, video, and images across diverse data types. As enterprises advance through AI readiness generations, the company drives token consumption growth while advising founders to establish rapid evaluation benchmarks and leveraging twenty internal AI agents to streamline operations. Looking forward, Minimax predicts narrow-sense AGI in three years, anticipating immediate disruption in finance and legal sectors before healthcare, as organizations diversify models to mitigate vendor lock-in and adopt "co-work" workflows.
- RAISE Summit21 min
AI's Role in Hiring Humans | Plural x Metaview | RAISE Summit 2026
Pierre-Dimitri Gore-Coty, Siadhal Magos
MetaView transforms unstructured recruiting data into actionable insights for an $800 billion market by deploying its core AI workspace and the autonomous "Fillmore" agent to serve both startups and enterprises. The platform builds defensibility through compounding proprietary hiring data and a relentless focus on placement outcomes, enabling small teams to scale hiring capacity globally while removing historical human constraints. This technology shifts the industry toward a dual-role future where humans manage AI orchestration and high-EQ relationship building rather than manual screening.
- RAISE Summit41 min
The Building Blocks of AI: Inside the Open Stack | ZML, LiveKit, ClickHouse & Neo4j | RAISE 2026
Steeve Morin, Russell d'Sa, Alexey Milovidov, Philip Rathle, Abel Samot, Alexey Kurtenkov
Leaders from ZML, ClickHouse, Neo4j, and LiveKit convened to outline the transition from "Old Regime AI" to Agentic AI, highlighting how their respective open-source infrastructures address critical needs in hardware inference, real-time data processing, graph-based context, and human-computer interaction. The panelists emphasized that while models and code face rapid commoditization, sustainable value will derive from proprietary data moats, sovereign infrastructure requirements, and specialized application layers like the proposed "Harness Layer" that supports diverse hardware architectures. With valuations reaching up to $15 billion and strategic integrations such as OpenAI's adoption of LiveKit, these companies argue that software composability and open-source strategies are essential for maintaining performance gains and avoiding vendor lock-in in a GPU-constrained market.
- RAISE Summit21 min
Deepfakes, Bots and Agentic Security | Pindrop x Palo Alto Networks | RAISE Summit 2026
Dr. Vijay Balasubramaniyan, Raphael Marichez, Rafael
Founded in 2011 by Dr. Balasubramanian, PinDrop commercialized "phone printing" technology to replace insecure legacy authentication with acoustic device fingerprinting for voice and video calls. The firm now addresses escalating threats from deepfakes, state-sponsored cyber espionage, and autonomous AI agents by deploying a three-pillar defense model that continuously monitors identity, intent, and action. As the digital landscape shifts toward an era of trillions of AI interactions, the technology ensures humans retain final agency for high-stakes transactions while neutralizing sophisticated fraud tactics.
- RAISE Summit20 min
Six Days in the Field: What a Defense Deployment Teaches About Sovereign AI | RAISE Summit 2026
Dan Wright, Dr. Chaouki Kasmi, Tala Aj Jabri, Shawi Kasmi
UAE-based Taktika AI and US-based Armada successfully deployed a modular, AI-enabled data center in a remote, isolated field environment within six days to address urgent maritime and geospatial intelligence challenges. This sovereign infrastructure operates as a fully air-gapped system, delivering speed and resiliency by utilizing pre-existing mobile assets rather than relying on external cloud providers or complex supply chains. The partnership aims to replicate this high-efficiency model in Europe and the US, targeting organizations with stranded data assets while adapting the technology for both defense and non-defense sectors.
- RAISE Summit36 min
Sovereign Stacks: Building Trusted AI on National Terms | RAISE Summit 2026
Mohsen Moazami, Thomas Di Giacomo, Cory Hawkvelt, Simon Muskett, Gleb Budman, Claire Thomas-Daoulas
Industry leaders including Gleb Budman, Simon Musket, and Thomas Di Giacomo defined sovereign AI as pragmatic organizational control over data and infrastructure rather than mere geographic residency, emphasizing that vendor exit options and workflow autonomy are the true measures of sovereignty. The panel further analyzed how geopolitical export controls and massive capital requirements are driving domestic innovation in China and the Middle East while urging Europe to prioritize open industrial ecosystems over attempting to replicate U.S. hyperscaler models. Ultimately, experts concluded that sovereignty will remain a critical strategic focus through 2035, though its definition will evolve to emphasize resilience and interdependence over isolationist regulatory compliance.
- RAISE Summit38 min
AI and Open Source: Shaping Each Other's Future | RAISE Summit 2026
Raj Dutt, Mark Surman, Oskari Saarenmaa, Gideon Mendels, Charles Zedlewski, Olivier Huez
Leaders from Grafana, Mozilla, Comet, and Together AI convened to define the distinctions between open source and open weight models while debating licensing strategies like AGPL to secure commercial viability against hyperscalers. The panelists analyzed how economic models must balance community adoption with value capture, emphasizing that trust in infrastructure and continuous innovation often drive revenue more than proprietary feature locks. Looking forward, the group predicted a self-reinforcing cycle where AI models trained on open code will increasingly recommend open source solutions, ensuring the ecosystem's dominance despite rising tensions over economic commoditization.
- Y Combinator31 min
How Supabase Became One Of The Fastest Growing DevTool Companies In The World
Supabase founder Paul Copplestone recently secured a $500 million round at a valuation exceeding $10 billion, propelling the company to decacorn status with a 10 million developer base driven largely by AI agents launching 60-90% of new databases. The fully distributed organization leverages its open-source PostgreSQL strategy and a shift toward Infrastructure as Code to achieve exponential usage growth, reducing time-to-value from minutes to seconds while bypassing traditional marketing channels. Moving beyond standard user interfaces, Supabase is now building self-driving database capabilities and "Infrastructure for Platforms" to support enterprise labs managing millions of ephemeral instances autonomously.
- RAISE Summit21 min
It Takes AI to Break AI: Securing the Agentic Attack Surface | Alice | RAISE Summit 2026
Alice Lead of Product and Engineering Avi Golan explains how enterprises face escalating security and safety risks as AI evolves from static chatbots to autonomous agents with tool-calling capabilities. He details a specialized Agentic AI Red Teaming methodology that moves beyond traditional static scanning to continuously simulate adversarial attacks, ensuring robust threat modeling before production deployment. This approach addresses the unique vulnerabilities of non-deterministic models, such as reasoning manipulation and indirect prompt injection, which have previously led to significant operational failures and legal liabilities across major brands.
- RAISE Summit21 min
0 to $250M ARR in 12 Months: Genspark & the Global Knowledge Worker | RAISE Summit 2026
GenSpark, founded by MIT PhD Wen Sang and a team of ex-Google and Microsoft veterans, has scaled to $250 million ARR and 6,000 enterprise clients by transitioning from a product-led search engine to an AI agent orchestrator that automates complex business workflows. The company distinguishes itself by abstracting model complexity through a unified architecture that integrates over 70 underlying AI models, enabling rapid deployment of custom applications and driving efficiency gains such as a fivefold client increase for specific financial consultants. This technology was showcased at a New York Stock Exchange event where CEO Wen Sang detailed the shift from traditional software tools to autonomous agents that augment human creativity while redefining workforce productivity.
- RAISE Summit40 min
Compute as Capital: Redefining AI's New Currency | WEKA, Akamai, TensorWave & More | RAISE 2026
Val Bercovici, Carmen Li, Parimal Pandya, Sam Tabar, Piotr Tomasik, Robin Wauters
With global AI infrastructure spending projected to reach $7 trillion by 2030, industry leaders identify power access and specialized talent as the primary constraints limiting supply. Experts from White Fiber, Weka, and Silicon Data argue that compute has evolved into a high-value asset class driven by unique market dynamics, including appreciating H-100 GPU values and emerging financial instruments for compute volatility. While current value capture remains anchored in the physical supply chain of chips and energy, the sector anticipates a structural shift toward application-layer returns by 2031 alongside advancements in virtual supercluster technologies and regional market expansion.
- RAISE Summit42 min
The Data Problem: What AI Actually Runs On | RAISE Summit 2026
Matt Fitzpatrick, Philippe Mizrahi, Noam Salinger, Molly Presley, Travers Nisbet, Petrina Anne Steele, Petrina Steele, Emily Fortuna
Enterprise AI adoption remains critically hampered by organizational inertia and legacy infrastructure, with only 5% to 8% of projects reaching production while global compute allocation shifts decisively toward 80% inference needs. Leaders must address fragmented data silos and misaligned workflows by implementing global namespaces and human-in-the-loop validation protocols to ensure agents meet strict liability standards. As constraints evolve from pure data quality to energy supply and physical infrastructure, successful transformation will depend on re-engineering business processes rather than merely overlaying new models onto broken systems.
- RAISE Summit20 min
Indexing Humanity: A Fireside With the Simulation Company | Simile | RAISE Summit 2026
Joon Sung Park, Sahir Azam, Jun
Simile, founded by former Stanford researchers including CEO Jun, has launched a foundational model of human behavior that replicates individual subpopulations with 85% accuracy for enterprise clients like CVS and Fortune 500 companies. Leveraging strategic partnerships with Gallup and Dynata to access a 20-million-person data panel, the company differentiates itself by prioritizing human imperfections and biases over pure algorithmic efficiency to augment corporate decision-making in market research and product development. Supported by Index Ventures, Simile operates on a four-stage simulation hierarchy ranging from individual dynamic testing to society-wide forecasting, while adhering to strict ethical principles regarding data consent and transparency.
- RAISE Summit42 min
2035 Decoded: Navigating the Decade Ahead | Dust, Glean & More | RAISE Summit 2026
Gabriel Hubert, Eve Bodnia, Arvind Jain, Nico Laqua, Raphaelle D'Ornano, Chris Blundell
Projected as a 10-to-15-year strategic journey, the panel outlines how enterprises must prioritize context graphs and data ownership over specific models to navigate the divergence between the 125 projected S&P 500 winners and the majority of firms unable to transition to agentic workflows. While Large Language Models dominate creative tasks, the future architecture will integrate Energy-Based Models for critical reasoning, demanding talent with advanced systems thinking to manage non-deterministic risks in sectors like finance and robotics. Long-term competitive advantage will ultimately accrue to organizations that retain control over system specifications and leverage human oversight to compound value through defensible data moats.
- RAISE Summit20 min
Keynote by Alex Saroyan, Co-Founder & CEO of Netris | RAISE Summit 2026
Following a significant network outage two years ago, Netris deployed automated abstraction technology to manage over 35 AI clusters and nearly one million GPUs globally. The platform addresses the five-layer complexity of modern AI infrastructure by replacing error-prone manual configuration with hardware-enforced multi-tenancy and a unified API. This approach ensures rigorous security isolation while supporting diverse hardware ecosystems from GB300 to Vera Rubin, enabling operators to scale deployments safely without building brittle in-house automation.