Latest Interviews
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Clear all filtersSam Altman, Arthur Mensch and more discuss:Which Startups Are Threatened vs Enabled by OpenAI?|E1156
Sam Altman, Arthur Mensch, Brad Lightcap, Des Traynor, Tom Hulme, Tomasz Tunguz, Sarah Tavel, Harry Stebbings, Emad Mostaque, Tom Blomfield, Miles Grimshaw
Industry leaders including Meta, Mistral, and Google are driving a market consolidation where commoditized base foundation models shift competitive advantage toward deep workflow integration and personalized "thick wrappers." While cloud providers and incumbents leverage existing infrastructure to dominate the utility layer, startups face valuation risks and must differentiate through outcome-based business models rather than thin wrappers. The predicted outcome is a global oligopoly of five to six dominant model providers by 2027, forcing applications to evolve from seat-based licensing to selling full work products within specific verticals.
- Y Combinator19 min
Why This Is The Perfect Time To Start A Startup
A recent discussion highlights a dramatic demographic shift at Y Combinator where college students now constitute 30% of batches, driven by generative AI enabling rapid idea validation that bypasses traditional corporate learning curves. The event contrasts the energy and cognitive flexibility of young founders against the "deprogramming" required for experienced hires, citing historical outliers like Stripe and Dropbox to argue that skipping big tech employment is essential for achieving extreme growth. Emphasizing a once-in-a-decade opportunity, the dialogue urges aspiring entrepreneurs to immediately pursue billion-dollar visions rather than delaying for experience, as the compounding nature of exponential growth demands starting the long game at peak energy levels.
- RAISE Summit12 min
Keynote by Christopher Savoie, Zapata AI CEO | RAISE Summit 2024 | Paris
Zapata, a public company spun from Harvard, deploys an edge-native architecture using tensor networks and specialized small model ensembles to solve latency and cost constraints for enterprise AI. The firm demonstrated this capability by implementing a 60-model system on Formula 1 cars that accurately predicted race disruptions in real-time, alongside a partnership with Sumitomo Mitsui Trust Bank for financial trading applications. By leveraging military-grade hardware to process streaming data locally, Zapata enables high-precision predictions in biomanufacturing, racing, and finance without reliance on unstable cloud connectivity.
- RAISE Summit18 min
Keynote by Carla Bünger & Thomas Taroni, CEOs of KORE & Phoenix Technologies | RAISE Summit 2024
QANDA AI is launching a 1,500-square-meter Innovation Center in Basel, Switzerland, to facilitate collaboration with partners like IBM, Red Hat, and Meta while addressing the security risks of US-based cloud infrastructure. The platform leverages sovereign cloud architecture on IBM Watson X to ensure strict data control, enabling enterprises in sensitive sectors such as Swiss banking and luxury goods to deploy generative models that combat brand dilution and misinformation. By prioritizing cost-efficient, hybrid infrastructure with real-time access governance, the initiative allows organizations to process petabytes of data locally without exposing proprietary information to foreign jurisdictions.
- RAISE Summit19 min
Keynote by Karim Beguir, Co-Founder and CEO InstaDeep | RAISE Summit 2024 | Paris
The presentation outlines a paradigm shift where artificial intelligence has entered a self-accelerating phase driven by exponential gains in data, compute, and model efficiency, transitioning from passive Large Language Models to active, collaborative smart agents capable of physical and digital execution. Leaders in the field like InstaDeep and Tesla demonstrate that sustainable competitive advantage now relies on a virtuous loop combining differentiated data, deep domain expertise, and robust simulation capabilities to enable autonomous systems that continuously improve. This evolution promises to redefine industrial optimization and software development by deploying specialized multi-agent collaborations that solve complex problems without human intervention.
- RAISE Summit21 min
Keynote by Caspar Herzberg, AVEVA Systems CEO | RAISE Summit 2024 | Paris
Caspar Herzberg, Kasper Hesberg
Aveva CEO Kasper Hesberg is set to launch in June an industrial AI assistant that merges predictive analytics with Large Language Models to help engineers overcome data silos and access the insights of veterans with 12 years of experience. This solution, already validated in cases like Duke Energy where it prevents $90 million in losses per event, addresses the critical challenge of 70% unused time-series data by summarizing technical manuals and guiding remote collaboration through 3D asset visualizations. By strictly limiting its scope to verified telemetry and documentation, the system delivers high-accuracy maintenance predictions while mitigating the hallucination risks common to general-purpose AI.
- RAISE Summit11 min
'AI Deployment: Trainwreck or Trailblazer?' Marten Mickos from HackerOne | RAISE Summit 2024 | Paris
The event addresses the critical deployment gap causing half of enterprises to hesitate on AI adoption due to fears of security breaches, financial loss, and brand damage. Featuring insights from industry leaders like Brett Taylor and case studies from Hugging Face, Anthropic, and Snap, the presentation highlights how rigorous external red teaming and transparent disclosure programs mitigate specific risks such as prompt injections and systemic bias. By demonstrating that preparedness transforms vulnerability into a competitive advantage, the discussion advocates for unbiased validation of AI systems to prevent operational disruption and secure organizational trust.
- RAISE Summit23 min
'Production Ready RAG' by David Leconte from DataStax | RAISE Summit 2024 | Paris
David Leconte, a Solution Engineer at Datastack, presented a comprehensive framework for transitioning Retrieval-Augmented Generation applications from experimental prototypes to stable, enterprise-grade production environments. The proposed RAG Stack mitigates common industry risks such as library fragmentation and compliance gaps through curated, daily-validated integrations and provides AstraDB, a serverless vector database that delivers 10-millisecond latency and 74% faster retrieval speeds than dedicated competitors. By combining these core components with the newly acquired Longflow workflow engine, Datastack enables organizations to deploy compliant, high-throughput generative AI systems via single-command installation while reducing development time and operational liability.
- RAISE Summit14 min
'The Future of Software With GenAI' by Marek Kalnik, Group Partner Theodo | RAISE Summit 2024
Industry leaders and enterprise innovators are rapidly integrating generative AI tools like GitHub Copilot and autonomous agents into software production, with over one million paid licenses and near-universal developer exposure driving a shift from simple automation to system-wide architectural redesign. As AI capabilities mature to solve 13–14% of real-world tasks autonomously and achieve high correctness on coding benchmarks, organizations are evolving from "co-pilot" models toward two-tiered structures where machines handle execution while humans focus on high-level design, quality assurance, and security-sensitive asset creation. This transformation promises to redefine team roles, reduce development costs, and enable new business models centered on personalized software and legacy system maintenance.
- RAISE Summit8 min
Keynote by Wes Cummins, CEO and Co-Founder of Applied Digital | RAISE Summit 2024 | Paris
Applied Digital CEO Wes Cummings outlined the company's strategic pivot from blockchain mining to purpose-built, high-power-density data centers located near renewable energy generation to address the critical power scarcity driving AI expansion. By co-locating liquid-cooled facilities with wind farms and utilizing curtailed energy, the firm aims to deliver over 400 megawatts of capacity while serving early enterprise customers like Character AI. This infrastructure shift responds to a market bottleneck where forecasts predict US data center power needs could quadruple by 2030, far exceeding historical construction rates.
- RAISE Summit11 min
Machine Unlearning: Making AI Forget | RAISE Summit 2024 | Paris
Hirundo addresses the critical compliance gap identified by Stanford research, where 83% of foundational models violate the EU AI Act by trapping irreversible personal data and sensitive information. The company offers a neuro-surgical unlearning platform that enables engineers and compliance officers to selectively erase specific data from trained models in minutes, achieving 95% efficiency gains over traditional retraining. Backed by Alpha Intelligence Capital and led by a team including the former Dean of Computer Science at the Technion, Hirundo positions selective unlearning as the essential standard for navigating global data privacy regulations without sacrificing model performance.
- RAISE Summit23 min
Production Ready RAG | RAISE Summit 2024 | Paris
David Leconte, a Solution Engineer at DataStax, outlines a strategy to bridge the gap between experimental RAG prototypes and production deployment by introducing a curated solution stack. This approach combines the new RackStack library management tool, the high-performance AstraDB vector database, and the Longflow workflow engine to address critical stability, compliance, and integration challenges faced by major enterprises. By offering verified packages, 10-millisecond latency, and automated support, the platform enables organizations to safely scale generative AI applications in regulated sectors without the risks associated with fragmented open-source frameworks.
- Sequoia Capital14 min
What's next for AI agentic workflows ft. Andrew Ng of AI Fund
AI agents are driving a paradigm shift from single-step prompting to iterative workflows that combine reflection, multi-agent collaboration, tool use, and planning to achieve results that can surpass larger, faster models running in zero-shot mode. This approach allows systems using smaller language models like GPT-3.5 to outperform GPT-4 on complex benchmarks such as HumanEval by enabling self-correction loops and specialized role delegation. While reflection patterns are now robust enough for immediate integration, emerging capabilities in planning and multi-agent debate are expected to dramatically expand the scope of autonomous tasks over the coming year.
- a16z10 min
The Future of AI Is Amazing
The speaker argues that after seven decades of technical success, artificial intelligence has finally triggered a platform shift by eliminating the high marginal costs of creation and reasoning through foundation models. This economic transformation reduces the price of tasks like image generation and legal analysis by orders of magnitude, creating elastic demand that mirrors the historical impacts of the microchip and internet. Looking forward, this shift establishes a clear path toward economically viable embodied AGI, provided that venture capital, the tech sector, and Washington D.C. align their resources to support the necessary infrastructure and regulation.
- a16z22 min
Collaborative Disruption at DoD
This briefing details the Department of Defense's strategic pivot from a historical government-led innovation model to a private-sector-driven approach, highlighted by a $145 billion R&D budget and the Replicator Initiative to rapidly deploy autonomous systems against People's Republic of China threats. Recent organizational restructuring, including the elevation of the Defense Innovation Unit and the appointment of private-sector technology leaders, aims to bridge critical development gaps that previously delayed capability delivery by up to a decade. To sustain this accelerated pace, the department urgently seeks congressional approval of 2024 appropriations while leveraging flexible acquisition pathways to integrate over $100 billion in private investment into national security operations.