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Romain Guyett

Showing 1–5 of 5 transcripts.

  1. RAISE Summit14 min

    Rewiring the Web: Data Access, AI Agents & the Next Digital Revolution | RAISE Summit 2026

    Juras Juršėnas, Fred de Villamil, Chet Haase, Romain Guyett, Francois Chollette, Francisco Neri, Gérald

    The event analyzes how the AI era has intensified the demand for live web data while rendering traditional scraping techniques obsolete due to sophisticated anti-bot defenses and shifting regulatory landscapes. It highlights critical economic tensions between content publishers and AI developers, arguing that the current ad-revenue model is threatened by AI aggregators that bypass source websites without compensation. Strategic recommendations focus on transitioning web infrastructure to be optimized for AI agents and establishing new frameworks for data monetization to ensure sustainable value distribution in the emerging agentic commerce ecosystem.

  2. RAISE Summit28 min

    Fireside Chat with Yann LeCun, Executive Chairman of AMI Labs | RAISE Summit 2026

    Yann LeCun, Tom Mackenzie, Chet Haase, Francois Beaufort, Romain Guyett

    Yann LeCun founded AMI Labs to develop JEPA-based World Models that overcome the physical reasoning limitations of current Large Language Models by predicting abstract states rather than discrete tokens. This strategic departure from Meta, driven by incompatible visions for Artificial General Intelligence and business focus, positions the Paris-based entity to lead global industrial applications like Level 5 autonomy and domestic robotics. To ensure geopolitical neutrality and preserve data sovereignty, LeCun is also spearheading Project Tapestry, a distributed initiative aggregating parameters from diverse international contributors without requiring raw data sharing.

  3. RAISE Summit40 min

    The Efficiency Enigma: Can Smarter Software Save Us from Hardware Bottlenecks

    Paul Moscovitch, Jean-Laurent, Stefan, Craig Tavares, Romain Guyett, Jared, Bob

    Industry leaders report that Moore's Law persists through advanced silicon technologies, yet the AI sector faces a critical shift from raw compute scarcity to bottlenecks in memory bandwidth and power efficiency. As data centers transition from training-heavy operations to a 50-50, and eventually 80-20, split favoring inference, organizations are adopting hybrid strategies that pair expensive GPU clusters for training with CPU-based solutions for latency-sensitive edge tasks. Strategic guidance now emphasizes aligning hardware selection with specific workloads while prioritizing novel application development over premature cost optimization.

  4. RAISE Summit17 min

    Stephane Kasriel, Meta Fundamental AI Research (FAIR): Frontier AI From Research to Production

    Stephane Kasriel, Stefan, Stephen Beyrer, Romain Guyett

    Stefan Beirer leads Meta's Fundamental AI Research division in a $60 billion infrastructure expansion aimed at transitioning AI from academic theory to consumer-scale products through a Bell Labs-style model. This strategy leverages the open-source Llama ecosystem and real-time emotional avatars to drive global adoption while refuting immediate mass displacement fears by citing current hardware limitations. Beirer projects that massive compute investments will drive inference costs down by up to 1,000x within two years, enabling "always-on" devices and accelerating a decade of technological progress comparable to the first industrial revolution.

  5. RAISE Summit36 min

    Building the Impossible: Technical Frontiers in GenAI for Enterprises | RAISE Summit 2024 | Paris

    Solène, Baptiste Pannier, Elias, Mathieu Valland, David Begassarian, Romain Guyett

    Founders from Adaptive, PhotoRoom, Google Cloud, and Crisp discussed the strategic divergence between building in-house infrastructure for core competitive advantages and leveraging external APIs for validation or non-critical functions. The panel highlighted that while data moats and proprietary RLHF techniques offer defensibility in niche verticals, startups face significant hurdles regarding high GPU costs, senior talent acquisition, and navigating the uncertainty of the EU AI Act. Ultimately, the consensus emphasized that sustainable AI growth requires balancing rapid product iteration with long-term architectural control to avoid market bubbles and regulatory pitfalls.