Latest Interviews
Showing 361–375 of 6,394 interview transcripts.
Clear all filters- Y Combinator1h 14m
World Models, JEPA And The Path To Sample-Efficient RL
This event analyzes the critical bottleneck of sample efficiency in artificial intelligence, contrasting current deep learning models' massive data requirements with the human brain's ability to learn from minimal experience through superior world modeling. The discussion details how advancements in non-differentiable control theories, video diffusion architectures, and Joint Embedding Predictive Architectures are shifting strategies from model-free behavior cloning to synthetic, simulation-based planning for complex robotic and autonomous driving tasks. By addressing scaling challenges in high-dimensional action spaces and architectural limitations like the Transformer's inefficiency in time-domain compression, the presentation outlines a roadmap toward general-purpose robotics and AGI by 2026 through the integration of "awake sleep" mechanisms and physics-informed predictive systems.
- RAISE Summit22 min
David Bitton, David Dubrovsky, Andrew Dieckman & Rachel Metz | Fireside Chat with 5C & AMD
David Bitton, David Dubrovsky, Andrew Dieckman, Rachel Metz
The event examines the strategic co-design partnership between infrastructure builder 5C and chipmaker AMD, which aims to resolve global compute shortages through vertically integrated data centers optimized for multi-generational hardware cycles. Industry leaders prioritize site selection based on power grid capacity, political stability, and proactive community engagement to mitigate opposition while managing the intense market consolidation where top customers control half of global demand. Looking toward a decade ahead, the discussion outlines a bifurcated infrastructure future featuring massive liquid-cooled training clusters alongside edge AI, driven by the necessity of flexible power allocation and deep strategic trust between partners.
Inference 101: SambaNova CEO Rodrigo Liang
Sambanova has secured its first $1 billion tranche at an $11 billion valuation, bringing its total capital raised to $2.5 billion as it pivots to optimizing inference for trillion-parameter models. The company's SN40 architecture enables premium, high-accuracy inference within standard 10-kilowatt air-cooled racks, offering a scalable alternative to the massive, liquid-cooled data centers required by competing GPU technologies. This infrastructure strategy, led by founder Rodrigo Yang, supports a heterogenous data center model and edge deployments to meet the latency demands of agentic AI while allowing cloud providers to maximize revenue per rack.
- Goldman Sachs12 min
How Earnings, Volatility, and AI Capex Are Affecting US Markets
Amid a high earnings bar and $6 trillion in projected AI infrastructure capital demands, the market faces divergent pressures between rising single-stock volatility and muted index fluctuations. Goldman Sachs addresses these tensions by recommending specific trades that exploit anomalous option pricing, such as single-stock collars and highly leveraged downside protection on the S&P 500. These strategies aim to capitalize on compressed index volatility while preparing investors for imminent catalysts including the July PCE inflation print and the Federal Reserve's upcoming FOMC meeting.
- Bank of America34 min
A conversation about business and sport with Gary Neville
The presentation analyzes the $40 billion global economic impact of the World Cup while extracting leadership principles from Sir Alex Ferguson's Manchester United tenure, such as immediate accountability and adaptability. It contrasts historical club management with modern challenges, including the shift toward digital media consumption, AI-driven recruitment, and the necessity of balancing individual star power with collective cohesion in both club and national team contexts. Ultimately, the discussion underscores that sustainable success requires immediate talent acquisition, psychological resilience, and maintaining the sport's accessibility despite evolving financial constraints.
- Bank of America33 min
(Video) A conversation about business and sport with Gary Neville
This comprehensive analysis projects the 2026 World Cup will generate over $40 billion in global GDP while driving a strategic shift from collective team models to individual-centric squads enhanced by AI recruitment and compact defensive units. Leadership principles drawn from Sir Alex Ferguson's tenure emphasize immediate problem-solving and a "winning mentality" cultivated through 100% intensity in training, which remains critical for assimilation of international talent. Concurrently, the industry navigates media evolution toward digital shoulder programming and social engagement, all while grappling with financial sustainability rules that force clubs to balance wage inflation with the immediate need for right-hiring personnel to secure titles.
- RAISE Summit19 min
Scaling AI Infrastructure for the Agentic Era | Charlie Kawwas, Broadcom | RAISE Summit 2026
Frontier artificial intelligence laboratories are increasingly partnering with Broadcom to deploy purpose-built XPU architectures that replace general-purpose hardware, enabling custom designs that eliminate efficiency losses and proprietary ecosystem taxes. This strategic shift supports a massive scaling trajectory where Broadcom projects over $100 billion in revenue by 2027 while delivering 16 times the current compute capacity through modular chiplet technology. As major clients contract for gigawatt-scale power expansions, the collaboration prioritizes rapid time-to-market for specialized "agentic AI" workloads while addressing supply chain constraints through new advanced packaging facilities.
- RAISE Summit18 min
Your AI Advantage: Turning Intelligence Into Results | Mark Hura, Oracle | RAISE Summit 2026
Enterprise leaders are shifting from experimental AI to applied AI strategies that prioritize specific business outcomes across sectors like healthcare, finance, and construction. Oracle supports this transition by providing a full-stack infrastructure that enables data sovereignty and local inference, while internal success stories demonstrate dramatic efficiency gains such as a 72% reduction in billing errors. Industry executives are advised to align top-down strategic goals with bottom-up operational needs to capitalize on the current accelerated adoption cycle where AI integration drives tangible reductions in cost and burnout.
SpaceX's Former CIO: "Never Worked Harder in My Life"
Ken Venner, Elon Musk, Molly, Jordan
Ken, leveraging his track record of scaling Broadcom and building operational infrastructure at SpaceX, has joined Senra Systems to automate and consolidate the fragmented cable harness market essential for autonomous vehicles. Drawing on principles of first-principles thinking and a "rinse and repeat" manufacturing model, he is deploying AI-driven platforms to transform the industry with a significantly leaner technical team. Over the next year, the organization aims to prove that technology can drastically reduce costs while improving quality, effectively turning a dormant sector into a scalable global enterprise.
- RAISE Summit18 min
Cheap Tokens, Expensive Mistakes: The Real Economics of AI at Scale | RAISE Summit 2026
Liran Zvibel, Dylan Patel, Karen Kwok
Major AI operators are pivoting from pure pricing power to structural cost efficiency, leveraging advanced KV cache offloading and optimized storage architectures to slash inference expenses. Recent benchmarks reveal that NAND-based memory solutions and strategic hardware combinations, such as high-capacity AMD GPUs, can outperform standard setups by up to 20 times in multi-turn agentic workflows while delivering 7x higher throughput. This shift allows emerging providers and frontier labs to significantly expand gross margins, with companies like Anthropic and OpenAI now projecting substantial operating profits driven by these infrastructure innovations rather than model weights alone.
- RAISE Summit19 min
The Mindset Shift Needed to Thrive Alongside AI | Marco Argenti, Goldman Sachs | RAISE Summit 2026
Goldman Sachs has achieved a 20% net engineering productivity gain by shifting from spec-driven to prototype-driven development, where business professionals utilize AI tools to build functional models that engineers then scale. This transformation is underpinned by strict governance frameworks that treat AI output as junior input requiring rigorous code review, alongside a leadership culture where executives actively model adoption while retaining final strategic decision-making authority. Consequently, junior staff now focus on client engagement and apprenticeship rather than mechanical analysis, as internal copilots handle the bulk of data processing and initial research tasks.
- RAISE Summit18 min
Keeping AI Honest: The AI Wave Seen From the Inside | Olivier Pomel, Datadog | RAISE Summit 2026
Datadog reported fiscal revenue projections reaching $4.3 billion, driven by a 30% year-over-year growth rate fueled by rising AI adoption across its diverse customer base. CEO Olivier Limousin highlighted the company's strategic pivot from passive observability to active autonomy through the acquisition of Adaptive ML, aiming to build proprietary models that are faster and cheaper than frontier alternatives. While current systems resolve 40% of issues independently, leadership maintains a culture of rigorous caution to ensure near-perfect accuracy before pursuing full self-healing capabilities.
- RAISE Summit18 min
Betting on the AI Application Layer | Grant Lee, Gamma | RAISE Summit 2026
Gamma, an AI-driven visual communication platform with over 100 million users and a $2.1 billion valuation, is expanding its international footprint by establishing a London office to support its 80% non-US user base. Led by Grant Lee, the company is pivoting from simple slide generation to enterprise-grade brand alignment while adopting a lean organizational structure that prioritizes cohesive user experiences over proprietary model ownership. Lee further advocates for a multi-model strategy to navigate regulatory shifts and positions the current market as a transition from bolting AI onto workflows to fundamentally reinventing product architecture.
- 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.
- RAISE Summit22 min
OpenAI x Cerebras: Sachin Katti & Andrew Feldman in Conversation | RAISE Summit 2026
Sachin Katti, Andrew Feldman, Henri Delahaye
In December 2024, OpenAI and Cerebras finalized a historic $20 billion partnership to deploy GPT-5.6 on Cerebras infrastructure, enabling a record-breaking inference speed of 750 tokens per second while expanding data center capacity across Europe to address sovereign AI demands. This collaboration has accelerated OpenAI's internal operations, establishing Codex as the default interface for all employees and driving a monthly release cadence of frontier models through AI-assisted research workflows. Looking forward, the alliance prioritizes enterprise adoption over token volume, anticipating that the rapid integration of AI agents will fundamentally rewire organizational structures and redefine productivity metrics within the next year.