Latest Interviews

Responsible AI Activation: Governance AI | RAISE Summit 2024 | Paris

Teos, Nicole Butna, Shyam Nagarajan, Rinald Manohar

Moderated by INSEAD professor Theos, a panel of AI strategy experts Nicole Butna, IBM consultant Shyam Nagarajan, and blockchain specialist Rinald Manohar identified critical risks such as human dependency on automation, data poisoning, and the potential for un-audited systems to mirror financial crises. The discussion established a consensus that effective AI governance must evolve from reactive compliance to proactive "ethics by design," requiring board-level oversight and multi-party accountability to manage self-evolving models and synthetic data feedback loops. To bridge the current maturity gap and regulatory skepticism, the panel advocated for treating AI governance as essential infrastructure comparable to financial auditing, emphasizing shared global values and cost-effective tamper-proof auditability to foster industry trust.

Architects of Transformation: Foundational Models in Generative AI | RAISE Summit 2024 | Paris

Daphné Leprince-Ringuet, Pablo, Milos, Nan, Marco, Artur Polis

Moderated by Daphné Leprince-Ringuet, the "Architects of Transformation" panel featured experts from Rave, DeepSets, Gena, and Defector to analyze the critical disconnect between enterprise expectations for deterministic AI and the stochastic reality of foundational models. The discussion highlighted that while companies like Defector have successfully deployed AI agents to double financing origination, widespread adoption remains hindered by legal concerns over training data, the high cost of production-grade infrastructure, and a severe talent mismatch between research engineers and product-focused builders. Participants concluded that the industry is shifting toward licensed, IP-safe "walled gardens" and emphasized that future success depends on integrating AI as a controlled operational component rather than a standalone feature.

AI Unleashed : Navigating the Future with Next Gen Applications | RAISE Summit 2024 | Paris

Tamara Brisk, Nicolas Guillon, Sixt, Jean-Paul, Francois Chollette, Arthur Kleinmann

At the RAISE Summit's "AI Unleashed" panel, industry leaders from Animage, X-Plane, and L'Oréal detailed the critical transition from generic generative AI tools to specialized, agentic applications capable of handling high-stakes industrial workflows. The discussion highlighted that while early models struggle with niche data and latency, second-generation systems must leverage proprietary datasets and human-in-the-loop verification to automate complex tasks such as public tender responses and personalized beauty diagnostics. Participants concluded that successful commercial adoption requires overcoming significant barriers including production costs, hallucination management, and workforce cultural resistance to redefine media creation and corporate efficiency.

Venture Capital: Investing in AI | RAISE Summit 2024 | Paris

Arnaud Barthélémy, Kay, Adrian, Anand

Moderated by Arnaud Barthélémy of Alpha Intelligence Capital, a panel of investors including Adrian from Merantix and Anand from Canonical analyzed divergent strategies within the AI ecosystem, with Merantix prioritizing value capture at the application layer and Canonical focusing on foundational infrastructure. The discussion highlighted that while US markets drive high-risk capital velocity, European investors are leveraging deep technical talent to disrupt heavily regulated sectors like healthcare and legal through data-driven models powered by community-sourced scientific analysis. As the market remains in a price discovery phase with zero-revenue valuations, panelists anticipate a rapid transition where AI applications evolve from novel tools into essential utilities and autonomous agents begin interacting to accelerate capital allocation.

Why the most demanding companies entrust their AI to OCI & NVIDA

Romu, Nicolas

NVIDIA and Oracle announced the upcoming arrival of the Blackwell GPU architecture and the GB200 rack-scale system on Oracle Cloud Infrastructure next year, delivering training speeds four times faster than the Hopper generation while introducing the versatile L40S chip by June. To support massive-scale AI workloads, OCI leverages a high-performance interconnect architecture that matches InfiniBand speeds with a 20-40% cost advantage and now hosts enterprise clients like Microsoft for Bing inference. The strategic partnership further expands into sovereign cloud regions in Frankfurt and Madrid to address data privacy concerns, while combining Oracle Database 23c with NVIDIA Inference Microservices to create an end-to-end pipeline for RAG-enabled AI deployment.

Machine Unlearning: Making AI Forget | RAISE Summit 2024 | Paris

Ben Luria

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.

Production Ready RAG | RAISE Summit 2024 | Paris

David Leconte

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.

The Collapse of the Human Empire: Reflexions from the AGI | RAISE Summit 2024 | Paris

Laurent Alexandre, Charles-Edouard Boué

Laurent Alexandre and Charles-Edouard Boué predict that the current AI investment bubble, driven by unsustainable unit economics, will collapse within eighteen months to trigger a new era of techno-politics and aggressive regulation. The discussion highlights critical barriers to Artificial General Intelligence, including the physical limitations of moving from 2D to 3D environments, entropy management challenges, and the paradox where human-AI collaboration yields lower diagnostic accuracy than AI alone. Ultimately, the speakers argue that the future dominance of machines may lead to a "machine aristocracy," yet the primary risk to human civilization stems from internal societal failures like elite corruption rather than inherent machine hostility.

RFS: Machine learning to simulate the physical world

Software tools relying on physics-based models for complex tasks like weather prediction and drug discovery face severe computational bottlenecks that require supercomputers and weeks of processing time. AI models function as efficient general function approximators that solve these same physics problems in seconds on standard hardware, eliminating the need for massive computational resources. This initiative targets founders seeking to enter markets that were previously infeasible by leveraging this technology to reduce prediction latency from days to seconds.

'Future of Search in the Age of AI' Perplexity CEO, Aravind Srinivas | RAISE Summit 2024 | Paris

Aravind Srinivas, Irvine

Perplexity AI CEO Aravind Srinivas and his team have launched an answer engine that replaces traditional search link lists with sourced, direct responses to bypass the advertising incentives misaligning Google with user utility. Leveraging a model-agnostic orchestration architecture and a founding team spanning research and competitive programming, the platform prioritizes factual accuracy and source verification over open-ended creativity to minimize AI hallucinations. While currently operating on lower margins than incumbent search giants, the company aims to establish a new consumer-aligned monetization framework that transforms the web from a collection of links into a verified knowledge infrastructure.

I Tested 100,000 People's DNA. This Diet Will Kill You - Gary Brecka

Gary Brecka

Former life insurer Dr. Gary Brekka is leveraging his actuarial background to reframe chronic disease as a consequence of internal nutrient deficiencies and genetic methylation errors rather than external pathology. His approach integrates specific biomarkers, genetic testing for mutations like MTHFR, and daily rituals including grounding and sunlight exposure to address root causes of conditions ranging from anxiety to hypertension. Brekka aims to transition from treating symptoms with pharmaceuticals to empowering a network of professionals who can utilize preventative data to correct underlying metabolic failures and extend human longevity.

Google fires protestors, NPR chaos, Humane's AI Pin, Startup tax crisis, sports betting scandal

Chamath, Andrew Robl, Jason Koon, Phil Hellmuth, Marques Brownlee, Jontay Porter, David Sacks, David Friedberg

The 2024 Breakthrough Prize ceremony in Los Angeles united Silicon Valley and Hollywood leaders to honor scientific milestones, including a tribute to researchers combating cystic fibrosis and a presentation by a Youth Breakthrough Award recipient. Concurrently, the event highlighted technological and cultural debates, ranging from harsh reviews of the Humane AI Pin's usability and privacy risks to serious discussions on corporate ethics surrounding Google's Project Nimbus and the termination of protesting employees. These distinct segments illustrate the intersection of high-level scientific recognition, intense technological scrutiny, and ongoing societal tensions within the tech industry.

Chamath Palihapitiya & Groq CEO Jonathan Ross | RAISE Summit 2024 | Paris

Chamath Palihapitiya, Jonathan Ross, Olivier Ollier

Grok CEO Jonathan Ross, a former Google TPU architect, presents a strategic shift in the AI industry where hardware-focused inference is poised to surpass training as the dominant market force. Leveraging proprietary Low Precision Units and an alternative supply chain strategy, the company has attracted 75,000 developers in just 30 days and secured a massive compute partnership with Aramco Digital to challenge NVIDIA's infrastructure monopoly. With projections to deploy 1.5 million LPUs by next year, Grok aims to redefine AI deployment costs and latency standards while positioning non-tech enterprises as primary consumers of global compute capacity.

Embracing American Dynamism to Upgrade Manufacturing Production With Oden CEO Willem Sundblad

Willem Sundblad, Molly O'Shea

Odin Technologies secured a $28.5 million Series B investment led by Sweden's North Star Growth, with participation from Flat Capital and current customers to accelerate the deployment of its real-time Process AI platform. The company targets large-scale manufacturing operations in sectors like paper, pulp, and plastics, where its interpretability-focused technology reduces operator dependency and shortens sales cycles by half. Following over three times growth since 2022, the capital will fund the integration of domain-specific foundation models and data enrichment tools to expand operations from North America into Europe and Latin America.

Mark Zuckerberg — Llama 3, $10B models, Caesar Augustus, & 1 GW datacenters

Mark Zuckerberg, Caesar Augustus

Meta has launched its open-source Llama 3 family, featuring 8 billion and 70 billion parameter models that compete with leading benchmarks, while simultaneously integrating the new Meta AI assistant across Facebook, Instagram, WhatsApp, and Messenger. To support these capabilities and future multi-agent applications, the company is rapidly expanding its hardware infrastructure to 350,000 GPUs and developing custom silicon to overcome energy and permitting bottlenecks. Founder Mark Zuckerberg emphasizes a strategic commitment to open distribution to mitigate concentrated AI risks, framing these technological shifts as fundamental changes to global productivity comparable to the invention of computing.