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  1. a16z47 min

    Why Scale Will Not Solve AGI | Vishal Misra - The a16z Show

    Vishal Misra, Martin Casado

    Researchers have mathematically validated that Large Language Models function as "Bayesian wind tunnels," where in-context learning precisely updates token probability distributions in real-time rather than relying solely on statistical correlation. Despite demonstrating this capability through the open-sourced "TokenProbe" tool and reproducing results across transformer architectures, current models remain fundamentally limited by their frozen weights and inability to perform causal reasoning or discard established axioms. Bridging the gap toward Artificial General Intelligence therefore requires a new architectural approach to implement true continual learning and move from association to simulation, as identified in recent work comparing LLM behavior to Judea Pearl's causal hierarchy.

  2. Sourcery with Molly O'Shea1h 12m

    Deel Hits $1.4B+ in ARR | CEO Alex Bouaziz Shares Growth Playbook

    Alex Bouaziz, Molly O'Shea, Shuo Wang, Micky Malka

    Deel, co-founded by Alex and Shuo, has grown its annual recurring revenue from $800 million to over $1.4 billion, securing a $17 billion valuation through a funding round led by Rivet Capital. This fully remote organization now serves over 40,000 global clients by providing integrated HR infrastructure across 120 countries while maintaining profitability and raising minimal external capital prior to its Series A. With a strategic focus on IPO readiness, a $100 billion valuation target, and the productization of internal AI tools, the company continues to expand its ecosystem through specialized acquisitions and brand partnerships.

  3. Sequoia Capital44 min

    Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space

    Philip Johnston, Sonya Huang, Pat Grady

    StarCloud founder Philip Johnson is deploying a Low Earth Orbit constellation designed to host data centers that will eventually outpace terrestrial alternatives in cost and scale, aiming for 50% of new AI compute capacity to be space-based within a decade. Leveraging SpaceX Starship launches, the company plans to deliver 10-megawatt satellite clusters by 2028 that prioritize thermal management over radiation shielding to support high-density inference workloads for hyperscalers and government clients. This infrastructure model targets critical market gaps in edge computing and downlink bandwidth while positioning space-based hardware as a neutral, scalable alternative to traditional cloud providers.

  4. All-In Podcast1h 16m

    Two Legendary Founders: Travis Kalanick & Michael Dell Live from Austin, Texas

    Travis Kalanick, Michael Dell, Friedberg, Brad Gerstner

    At the All-In Summit, Travis Kalanick officially ended the seven-year stealth phase of his new physical AI venture, Adams, by unveiling a platform that treats atoms like bits to revolutionize food production and mining automation. Concurrently, Michael Dell detailed the explosive growth of his AI infrastructure business and championed the bipartisan Invest America Act, a capital account initiative designed to seed $1,000 for every U.S. child to foster broad-based ownership. Both leaders emphasized a strategic pivot toward Texas as a pro-growth hub for industrial scaling while advocating for aggressive AI integration and open-source collaboration to drive future economic abundance.

  5. 20VC with Harry Stebbings1h 18m

    Gokul Rajaram on the 8 Moats Companies Need & Why Dropouts are "AI Maxing" the World

    Gokul Rajaram, Harry Stebbings

    Gokul Rajaram introduces an "Eight Modes" framework to evaluate software defensibility, arguing that companies must transcend single-product models to survive the AI-driven commoditization of basic coding and data portability. He forecasts a market correction driven by the obsolescence of traditional brand moats, urging investors to prioritize net revenue retention and physical or scale-based advantages over mere top-line growth. Rajaram concludes that future winners will emerge from founders with deep industry experience who target non-consumption markets and full-stack operational control rather than relying on incremental software improvements.

  6. Y Combinator40 min

    AI Is Unlocking Millions Of New Builders

    Mukund, Madhav Jha

    Led by twins Mukund and Madhav Jar, Emergent is a YC Summer 2024-funded platform that empowers non-technical users to generate production-ready software through AI agents, having already built seven million apps across 190 countries. The company differentiates itself by utilizing a custom Kubernetes infrastructure and multi-agent architecture to solve the "it works on my machine" problem, while its core team achieved top-tier status on the SWE-bench benchmark within two months. By pivoting from automated testing to full-stack application development, Emergent has democratized software creation, allowing solopreneurs to launch functional products for thousands of dollars instead of the traditional half-million-dollar cost.

  7. Goldman Sachs28 min

    Europe’s Opportunity, AI, and Market Volatility with Goldman Sachs International's Co-CEOs

    Anthony Gutman, Kunal Shah, Allison Nathan

    Goldman Sachs navigates Middle East geopolitical instability while reinforcing its regional foothold through a new Riyadh wealth license and a $25 billion partnership with the Qatar Investment Authority. Strategically, the firm capitalizes on resilient Asian markets and European growth pockets in Spain and Poland, targeting infrastructure financing and private wealth expansion despite short-term currency volatility. Driven by robust corporate balance sheets and AI-fueled efficiency, leaders maintain a positive long-term economic outlook and anticipate continued M&A activity and capital market issuance as markets differentiate between structural trends and event-driven shocks.

  8. The Diary Of A CEO2h 3m

    Daniel Priestley: AI Will Make Plumbers Earn More Than Lawyers! (2029 PREDICTION)

    Daniel Priestley

    The analysis projects a near-future economic shift where AI disrupts white-collar professions while elevating the value of blue-collar trades, simultaneously triggering a predicted $650 billion data center infrastructure bubble slated for a 2029 financial collapse. Amidst these macroeconomic risks, the event outlines a strategic pivot toward small, defensible lifestyle businesses that leverage human connection and physical interaction to create moats against "AI slop" and algorithmic content saturation. Furthermore, it advocates for an entrepreneurial mindset centered on deep reflection, generalist skills, and the validation of real-world experiences to navigate a landscape where government intervention and potential UBI implementations may coexist with talent flight and systemic market distortions.

  9. Milken Institute51 min

    Advancing Economic Mobility | Future of Finance 2026

    Dan Carol, Anna-Lisa Miller, Shil Patel, Rob J. Shapiro, Marcus Shaw

    The event outlines a multi-pronged economic strategy combining newborn investment accounts, federal retirement matching for gig workers, and expanded worker ownership to address extreme wealth concentration. Key participants including Ownership Works and Alt Finance demonstrate how equity participation and HBCU talent pipelines generate significant returns for non-c-suite employees and underrepresented communities. By integrating these private sector innovations with policy proposals for mid-career retraining, the initiative aims to mitigate AI-driven displacement risks and secure broad-based long-term economic mobility for millions of Americans.

  10. 20VC with Harry Stebbings1h 11m

    Elena Verna: How Lovable Launches Product & Hacks Social to Go Viral

    Elena Verna, Harry Stebbings

    Elena Werner, Lovable's head of growth, outlines a strategic pivot from traditional performance marketing to a trust-based model that leverages a "Minimum Lovable Product" culture where every employee ships code to drive rapid innovation and emotional user connection. Operating with over $6.6 billion in valuation and $350 million in ARR, the company prioritizes organic adoption through daily releases and viral social strategies while rejecting rigid payback metrics in favor of a three-month capital efficiency window. This approach enables Lovable to navigate an automating digital landscape by focusing on outcome-based monetization and community-led branding rather than relying on declining paid acquisition channels.

  11. All-In Podcast1h 20m

    Iran War, Oil Shock, Off Ramps, AI's Revenue Explosion and PR Nightmare

    Brad Gerstner, Howard Schultz, Jason Calacanis, David Sacks

    The discussion centers on a dual strategy of domestic wealth redistribution through direct child equity accounts and geopolitical risk management during a volatile conflict in the Middle East that spiked oil prices and inflation. Industry leaders debate the scalability of AI revenue, contrasting production-ready utility against experimental testing, while simultaneously analyzing how "doomerism" narratives and restrictive regulations threaten data center development and profitability. Finally, the program examines the economic consequences of state-level wealth taxes on migration patterns, warning of capital flight and budget shortfalls while advocating for deregulation as a superior alternative to asset seizure.

  12. The Economist8 min

    Is Russia the real winner from the war in Iran? | The Economist

    Zanny Minton Beddoes, Shashank, Greg, Ed

    A strategic assessment highlights Russia's improved economic resilience and reduced incentive for negotiations, while Gulf states face a binary choice between dealing with Iran or deepening US security ties at the cost of regional stability. The conflict simultaneously exposes critical US industrial limitations in interceptor stockpiles despite demonstrating superior technical execution, a dynamic that China interprets as evidence of American war fatigue. Consequently, these developments entrench Russia's position and accelerate Beijing's military modernization efforts focused on endurance and missile capabilities.

  13. a16z27 min

    Emil Michael: The Department of War Is Moving Faster Than Silicon Valley on AI | The a16z Show

    Emil Michael, David Ulevitch

    The Department of War has consolidated its strategic priorities to six key areas, designating artificial intelligence as the top focus to counter China's military build-up and address domestic supply chain vulnerabilities. To accelerate deployment, leadership reorganized the Chief Digital and AI Office under direct CTO oversight, shifting procurement toward firm fixed-price contracts and removing vendor-imposed restrictions that previously hindered kinetic operations. This reform agenda aims to replace legacy "peacetime speed" with a culture of rapid iteration, enabling the military to integrate commercial innovation while securing a self-reliant industrial base for national defense.

  14. Dwarkesh Patel2h 31m

    Dylan Patel — The single biggest bottleneck to scaling AI compute

    Dylan Patel

    The Big Four hyperscalers have forecasted a combined $600 billion in capital expenditure, yet only about 20 gigawatts of incremental compute capacity is expected to come online in the US this year due to long-lead infrastructure projects. While OpenAI aggressively secured long-term capacity, Anthropic now faces a critical 4-gigawatt gap that forces reliance on expensive spot markets, highlighting a broader industry struggle against semiconductor supply bottlenecks and memory bandwidth constraints. Ultimately, EUV tool production limits and labor shortages constrain global AI scaling, positioning US allies with advanced manufacturing capabilities to maintain a significant lead over China for the foreseeable future.

  15. Milken Institute43 min

    Powering Economic Opportunities: Energy at the Core | Future of Finance 2026

    Leslie Kaufman, Benton Arnett, Rachel Halfaker, Stephen Propper, Nidhi Thakar

    Driven by surging AI data center demand and corporate carbon-free procurement commitments, the U.S. energy sector is pivoting toward flexible nuclear power models and advanced grid modernization to address critical reliability and affordability gaps. Independent developers and community lenders are leveraging innovative financing structures alongside artificial intelligence to accelerate permitting and scale distributed energy resources despite persistent regulatory bottlenecks. Concurrently, geopolitical shifts and targeted federal incentives are fueling investment in onshored supply chains and transmission infrastructure, positioning clean firm technologies as essential components of national energy security.