Latest Interviews
Showing 991–1005 of 4,871 transcripts.
Clear all filters- Sequoia Capital45 min
Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone
Ping Wu, Doug Leone, Sonya Huang
Cresta addresses the high attrition and fragmented experience of the global contact center industry by deploying a hybrid model of human agent assistance and autonomous digital agents that operate on legacy systems with under 800-millisecond latency. This approach leverages twenty simultaneously orchestrated AI models to capture the $75 billion in revenue-generating interactions historically lost to inefficiency, while Sequoia's Doug Leone anticipates the application layer becoming the primary locus of value in an "Industrial Revolution 2.0." The company aims to render the distinction between human and AI agents indistinguishable within 20 to 30 years, ultimately creating continuous, personalized customer journeys that span the entire lifecycle.
Atlassian CEO, Mike Cannon-Brookes on Why Everything is Overvalued & Are We in an AI Bubble
Mike Cannon-Brookes, Harry Stebbings, Scott Farquhar
Atlassian Co-CEO Mike Cannon-Brookes discusses a strategic bet on multi-model AI adoption and "vibe coding" to empower non-technical employees while expanding the engineering workforce over the next five years. He outlines the longevity of the company's co-CEO dynamic with Scott Farquhar, which relies on a strict 60–80% operational overlap and a unique dispute resolution clause to navigate market volatility and uncertain AI monetization. Cannon-Brookes concludes by framing the organization's future around "creating rather than defending" to combat corporate entropy, urging a shift toward per-value pricing models as the industry faces a Cambrian explosion of new, yet unproven, AI business structures.
- a16z51 min
Will LLMs Get Us To AGI?
Martin and Vishal define Artificial General Intelligence as the capacity to generate entirely new scientific paradigms rather than merely interpolating within existing data manifolds, a capability they argue current Large Language Models lack despite their sophisticated Bayesian reasoning. They detail a formal Matrix Abstraction Model explaining how in-context learning functions as evidence-based posterior updates, while simultaneously critiquing the industry's reliance on prompt engineering and empirical scaling as insufficient for achieving recursive self-improvement or true innovation. The discussion concludes that a fundamental architectural leap beyond probability-based transformers is necessary to transition from generating "confident nonsense" to producing outputs that fall completely outside training distributions.
- The Diary Of A CEO2h 6m
Neil deGrasse Tyson: The Harsh Truth About Horoscopes (sorry but it’s true)
Neil deGrasse Tyson challenges the societal reliance on non-scientific belief systems like astrology and tribal religion, arguing that they obscure the objective biological and cosmic reality that unites all humanity. He posits that mortality is essential for meaning and urges individuals to actively construct purpose through scientific inquiry and wisdom rather than seeking pre-existing truths. Furthermore, Tyson warns that declining scientific literacy and the potential rise of irrelevant humanity under advanced AI threaten the future stability of civilization unless voters prioritize evidence-based education.
- The Economist10 min
Who will run Gaza?
Zanny Minton Beddoes, Greg, Patrick, Zannie, Ed
Experts assess that Hamas will likely retain lighter arms while potentially depleting heavier weaponry, driven by ideological identity and fears of local reprisals. The proposed Trump peace plan outlines a corporate-style transitional authority led by President Trump and former Prime Minister Tony Blair, employing technocrats to manage civil services amid disputes between the Palestinian Authority and Hamas over governance representation. This model diverges from the Oslo Accords by prioritizing reconstruction and external pressure to shift public opinion, though recovery depends heavily on Israel allowing building materials into a territory where 80% of structures have been destroyed.
Inside The $2.2B AI Research Accelerator | Turing
Jonathan Siddharth, Molly O'Shea
Turing, a profitable AI infrastructure firm valued at $2.2 billion, serves nine frontier labs by deploying a global network of four million engineers to generate expert data for training superintelligence models. The company distinguishes itself from traditional data labelers by combining smart human sourcing with proactive research to advance coding, reasoning, and multi-modality pillars while challenging the dominance of commodity data services. Facing a market where internet-based pre-training data is exhausted, Turing aims to capture a $30 trillion opportunity by replacing legacy consulting models with agentic systems that automate complex enterprise knowledge work.
- Goldman Sachs8 min
Can the Rally Continue?
Ashok Varadhan maintains a constructive outlook on U.S. equities, projecting a policy interest rate normalization near 3% within the year and a market consolidation in the fourth quarter before a 2026 resumption. While advising investors to remain long and hedge downside risks through cheaply priced puts during a low-volatility environment, he identifies a structural shift away from fiat currencies into assets like Bitcoin and AI-driven stocks as a response to fiscal expansion. This strategy navigates potential Q4 risks from a government shutdown that delays critical economic data, ensuring the portfolio capitalizes on the enduring technological investment cycle while accounting for tariff absorption and crowded consensus positions.
- RAISE Summit10 min
Matt Hicks, Red Hat ｜ RAISE Summit 2025
At the RAIDS Conference 2025 in Paris, Red Hat unveiled its strategic shift toward sovereign AI infrastructure, introducing products like the Red Hat Inference Server and OpenShift Lightspeed to optimize open-source model deployment across enterprise environments. By partnering with major hardware and cloud providers including NVIDIA and AMD, the company aims to resolve critical GPU utilization bottlenecks and control token costs, thereby enabling scalable agentic workloads that transition from experimentation to production. This approach positions software innovation, specifically through tools like VLLM and LLMD, as the primary driver for maximizing efficiency in a landscape where hardware performance is plateauing.
- RAISE Summit8 min
Vipul Ved Prakash, Together AI ｜ RAISE Summit 2025
Vipul Ved Prakash, John Furrier, Aviv Paul
Co-founded by Paul Ved Prakash, Together AI operates as an AI acceleration cloud that recently deployed a high-density Grace Blackwell 200 cluster in Memphis to deliver 1.4 petaflops of computing power for large-scale model training. The platform hosts over 200 open-source models and drives significant growth among "AI-native" customers by integrating specialized infrastructure for thermal management and dynamic workload orchestration. As the market shifts toward "Agentech," the company addresses generative AI limitations through test-time compute mechanisms and parameter-efficient inference techniques that enable complex, multi-step reasoning workflows.
- RAISE Summit16 min
Prashanth Chandrasekar, Stack Overflow ｜ Raise Summit 2025
Prashanth Chandrasekar, John Furrier, Prashant Thir
Stack Overflow CEO Prashant Thir highlights a critical market shift where high AI adoption clashes with declining trust, driving a demand for human-in-the-loop validation to counteract generic content and hallucinations. The company leverages its official data licensing agreements with major AI labs to boost model accuracy by 30–40% while simultaneously expanding enterprise offerings like Uber's Genie into dynamic knowledge intelligence layers. This strategy combines a growing revenue stream from AI reinforcement learning and data licensing with a community vision to transform the platform into a "trust network" that blends expert curation with AI speed.
- RAISE Summit8 min
Mike Mattacola, Coreweave ｜ Raise Summit 2025
Held in Paris, the RAISE Summit 2025 convened industry leaders to address the critical intersections of AI infrastructure expansion, sovereignty, and energy constraints. CoreWeave leveraged its strategic partnership with Dell and NVIDIA to outpace competitors by deploying H100, H200, and GB200 hardware generations first, while managing massive scaling complexities through joint troubleshooting and agile operational models. The event highlighted a structural industry shift from general-purpose IT to specialized AI engineering, characterized by high-density rack consolidation and a dramatic decline in x86 market share as physical data center requirements drive immediate procurement and deployment strategies.
- RAISE Summit10 min
Alison Wagonfeld, Google Cloud ｜ RAISE Summit 2025
Alison Wagonfeld, John Furrier
At the 2025 RAISE Summit in Paris, Google Cloud detailed its transition to a full-stack AI-first strategy that integrates DeepMind research directly into products like BigQuery while leveraging partners such as Databricks and hardware collaborations with Nvidia. The company championed open interoperability standards, specifically the Model Context Protocol and Agent-to-Agent protocol, to enable secure cross-platform agent interactions and mitigate vendor lock-in for over 500 enterprise customers. This approach addresses a market shift toward replatformization and internal AI competency centers, allowing organizations to extract measurable ROI through application-layer business logic rather than focusing solely on hardware advancements.
- RAISE Summit18 min
Benoit Dageville, Snowflake ｜ RAISE Summit 2025
Benoit Dageville, John Furrier
Snowflake has advanced its platform by establishing unstructured data as a first-class citizen through new AI SQL capabilities and the official launch of Semantic Views, which embed business logic to ensure AI query accuracy exceeds 95%. This evolution supports a three-phase integration of generative AI, ranging from data ingestion and natural language interaction to a future agentic layer that democratizes access for non-technical users while maintaining strict governance via a dual proprietary and open-source cataloging strategy. By distinguishing itself through a dedicated semantic layer and objective performance benchmarks, the company positions this shift as a foundational revolution that simplifies complex data relationships for enterprises without compromising security or cost efficiency.
- RAISE Summit19 min
Rajiv Ramaswami, Nutanix ｜ RAISE Summit 2025
At the RAISE Summit 2025 in Paris, Nutanix CEO Rajiv Ramaswamy unveiled a strategic partnership with NVIDIA to deliver a fully integrated enterprise AI infrastructure stack designed to support generative AI inference for the 28,000 companies Nutanix currently serves. This solution combines Nutanix's simplified base with NVIDIA's microservices and reference architectures to enable secure, turnkey deployment of AI workloads across data centers, edge locations, and public clouds. By abstracting hardware and containerization complexity, the collaboration targets the "vast majority" of enterprises that will consume rather than train models, facilitating immediate use cases like document summarization and automated translation while supporting future multi-agent workflows.
- RAISE Summit12 min
Paul Bloch, DDN ｜ RAISE Summit 2025
DDN, a self-funded startup transitioning from high-performance computing to AI infrastructure, has solidified its position as a critical partner for NVIDIA and XAI by deploying storage solutions capable of scaling from single GPUs to over one million. The company recently launched its Infinia data ocean platform to support massive foundation model training and low-latency inference, capitalizing on the emerging sovereign AI trend where nations integrate government and infrastructure into unified national data platforms. Despite intense market competition, DDN leverages its deep Caltech R&D roots and founder-led culture to retain customers who require the extreme scale and performance necessary for next-generation AI workloads.