Latest Interviews

'The Future of Software With GenAI' by Marek Kalnik, Group Partner Theodo | RAISE Summit 2024

Marek Kalnik

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.

Keynote by Wes Cummins, CEO and Co-Founder of Applied Digital | RAISE Summit 2024 | Paris

Wes Cummins

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.

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.

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.

What's next for AI agentic workflows ft. Andrew Ng of AI Fund

Andrew Ng

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.

The Future of AI Is Amazing

Martin Casado

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.

Collaborative Disruption at DoD

Kathleen Hicks

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.

Sharks Never Stop Swimming: A Conversation with Mark Cuban

Mark Cuban, David Ulevitch

Mark Cuban and Dr. Alex Oshmayansky have leveraged Cost Plus Drugs to expose pharmaceutical opacity by publishing exact medication costs with a fixed 15% markup, ultimately attracting Harvard and Vanderbilt researchers to project $3.6 billion in potential government savings. The company expanded its model to B2B wholesale and advocates for healthcare CFOs to negotiate rates at 80–100% of Medicare prices, challenging the three major Pharmacy Benefit Managers that currently dominate the market through rebate retention and regulatory capture. Beyond healthcare, Cuban utilizes these insights to critique rising tuition costs and *Shark Tank* dynamics, calling for structural reforms that prioritize middle-American entrepreneurs and eliminate non-transparent corporate contracts.

Tom Blomfield: How I Created Two Billion-Dollar Fintech Startups

Tom Blomfield

Monzo and GoCardless co-founder Tom Blomfield recounts his journey from scaling two major fintech giants to suffering severe burnout that forced him to step down during the 2020 pandemic. Following a year of recovery, he transitioned into full-time venture capital, rapidly expanding his angel portfolio before securing a leadership role at Y Combinator. Blomfield now leverages his experience mentoring new founders, emphasizing how creators can redefine societal structures to solve complex problems while avoiding the emotional volatility of CEO life.

Virality and network effects drive organic growth.

Top-tier consumer companies leverage virality and network effects to drive organic user growth, with Facebook's early tagging mechanic serving as a classic example of converting incidental user actions into new sign-ups. This strategy relies on Metcalfe's Law, which posits that a product's value scales mathematically with the square of its user base, a dynamic exemplified by WhatsApp's utility increasing as participant numbers expand.

Techno Optimism, Explained

Dalton Caldwell, Michael Seibel

In a discussion on the trajectory of human progress, Y Combinator speakers challenge modern pessimism by highlighting transformative advancements in information access, communication, and safety since the 1990s. They argue that despite challenges like tribal polarization, exponential growth in space travel and artificial intelligence will define the next eighty years, with intercontinental travel times shrinking to forty-five minutes as a concrete benchmark. The presentation concludes that effective problem-solving requires a foundational optimism, as belief in future potential remains essential for driving the innovation necessary to solve persistent global issues.

"There Are Two Ways to Do Cold Emails" with HyperGrowth Partners Founder Guillaume Cabane

Guillaume Cabane, Harry Stebbings

The initiative introduces a dual-strategy framework for high-response cold outreach by combining automated negative comment detection with hyper-personalized social wagering. This approach targets unaddressed customer complaints to deliver zero-cost value, achieving 10–12% response rates, while simultaneously engaging hard-to-reach CFOs through specific college sports betting propositions to secure 12–15% engagement. By replacing self-promotion with genuine human connection and actionable insights, the method establishes a scalable competitive moat with negligible acquisition costs.

Empathy and knowing the problem you're solving are core to design (and making something people want)

Founder and speaker proposes reimagining the development of highly technological products through a mental model that prioritizes the guest experience of "throwing the best possible party" over traditional engineering constraints. This approach demands the elimination of wait times and the deployment of immediate, personalized hospitality staffed by friendly humans who offer orientation and facilitate social introductions. Ultimately, the framework asserts that politeness, thoughtfulness, and an inviting nature are non-negotiable design requirements for founders to ensure successful product adoption.

Startup Experts Reveal Their Top Productivity Advice

This presentation asserts that successful startup founders must act as 10x multipliers by rigorously prioritizing direct customer discovery over "fake work" like building complex internal tools or optimizing lifestyle habits. Through techniques such as stack ranking tasks to focus exclusively on the top three priorities and isolating "maker schedules" for deep work, founders are advised to reject distractions and non-essential requests to achieve genuine product-market fit. Ultimately, the core lesson emphasizes that sustainable growth relies on the founder's self-awareness in identifying their unique strengths and their disciplined refusal to engage in multitasking or superficial productivity hacks.