Latest Interviews
Showing 586–600 of 6,339 interview transcripts.
Cerebras CEO on the Future of Data Centres, Token Costs & Memory | Should US Companies Sell to China
Andrew Feldman, Harry Stebbings
Cerebrus CEO Andrew Feldman highlights a $25 billion backlog in AI data center construction and persistent High Bandwidth Memory shortages that have driven hardware costs up fivefold. Following Cerebrus's historic $5.5 billion IPO and a $20+ billion partnership with OpenAI, the firm distinguishes itself by bypassing memory constraints through SRAM architecture and securing a six-point-seven times speed advantage over competing GPU clouds. Feldman further argues that geopolitical tensions necessitate stricter U.S. control over semiconductor exports to China while advocating for a twenty-year regulatory exemption to accelerate domestic fab construction and resolve the industry's looming electricity supply limits.
- Sequoia Capital46 min
How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RL
Federico Cassano, Dmytro Dzhulgakov, Sonya Huang
Cursor has pivoted from a pure application company to a foundation model developer by training Composer 2, a specialized software engineering model built on a Kimi 2.5 base using a global, asynchronous pipeline to maximize compute efficiency. The team deployed a custom infrastructure that integrates Reinforcement Learning from real-time user feedback and simulated rollouts while overcoming synchronization challenges through lossless delta compression and custom GPU kernels. This strategic approach allows Cursor to saturate model capacity with high-value coding data, achieving competitive performance at a fraction of the cost of general-purpose models while moving the industry toward baked-in specialized behaviors rather than prompt engineering.
- Goldman Sachs34 min
‘Complexity is Our Friend’: James Brocklebank on Advent's Private Equity Strategy
James Brocklebank, Alison Mass
James Brockelbank details Advent's $100 billion strategy of navigating complex regulatory environments in Europe and expanding into Asia-Pacific through a focus on transformational carve-outs and pure private equity specialization. Facing slowed exit realizations, the firm has integrated proprietary AI tools like "Advent GPT" into its investment committees while shifting toward strategic buyers to manage capital returns. Brockelbank emphasizes that despite these technological advancements, deep human relationship-building and a culture of "healthy paranoia" remain the critical differentiators for identifying high-quality opportunities in volatile markets.
- The Diary Of A CEO1h 35m
Bruno Fernandes: Roy Keane Twisted My Words. They Offered Me £200M, I Said No.
Bruno Fernandes, Roy Keane, Steven
Bruno Fernandes joined Manchester United in January 2020, rejecting lucrative offers to prioritize rebuilding the club's culture and fulfilling his childhood dream of playing in the Premier League. Since his arrival, the midfielder has established himself as a record-breaking assist provider and five-time Club Player of the Year while advocating for recruitment based on character and loyalty over fame. Beyond his on-pitch statistics, Fernandes serves as a vocal captain and mediator for managers, emphasizing a leadership style defined by demanding standards, emotional resilience, and deep respect for all club staff.
Why Anthropic Are Causing a Comp Crisis & Why You’d Never Hire From Salesforce or ServiceNow
Chad Peets, Chris Degnan, Harry Stebbings
Snowflake's former CRO Chris Dagnon and CEO Chan Peets have formed a strategic partnership to address the critical challenge of building world-class sales teams, leveraging their contrasting "yin and yang" management styles to reshape hiring standards and quota-setting practices. The duo critiques the limitations of hiring from monopoly-driven environments like Salesforce and ServiceNow, advocating instead for candidates with proven grit at Tier 3 brands and warning founders against the inflated ARR signals and unsustainable compensation models currently prevalent in the AI sector. Their collaboration aims to help startups navigate a shifting landscape where traditional SaaS licensing is transitioning to consumption models, while simultaneously demanding rigorous accountability, global expansion, and a culture that prioritizes high-performance retention over socialist compensation structures.
- All-In Podcast1h 42m
SpaceX’s $2T Case, Nvidia’s Shock Selloff, America Turns on AI, Trump Pulls AI Order, Bond Crisis?
Trump, Gavin Baker, Andrej Karpathy
Andrej Karpathy's strategic move to lead Anthropic's new pre-training team highlights a critical industry shift toward recursive self-improvement, a frontier expected to unlock exponential model quality gains alongside soaring sector revenues reaching an estimated $100 billion ARR. Concurrently, the broader AI landscape is defined by SpaceX's potential $75 billion IPO and massive revenue contracts with Anthropic, while Nvidia reports record earnings driven by sustained demand for AI infrastructure despite rising macroeconomic risks. These developments collectively underscore a rapidly maturing market where architectural innovations, geopolitical tensions, and aggressive capital deployment are reshaping the economic and technological trajectory of the artificial intelligence sector.
- Stanford Online48 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Enterprise Internal Knowledge
Stanford graduate and Applied Compute CEO Yash Patil explains how the AI industry is shifting from general pre-training to specialized post-training on proprietary data to solve enterprise bottlenecks. He argues that while frontier models like OpenAI's O1 leverage test-time compute, future progress depends on continual learning from sparse, real-world rewards and deterministic environments like software coding. Patil concludes with a bullish outlook on compute hardware while warning that pure data-selling businesses will fail as synthetic generation and robotics become the new differentiators.
- Dwarkesh Patel1h 20m
Chip design from the bottom up – Reiner Pope
This analysis dissects the hardware architecture of modern AI accelerators, detailing how Multiply-Accumulate units and systolic arrays minimize data movement to overcome the area and energy costs of traditional CPU logic. It contrasts fixed-function ASICs and programmable FPGAs while highlighting the strategic shift from cache-based CPU designs to deterministic scratchpads in TPUs to optimize compute-to-memory ratios. Furthermore, the discussion evaluates current trends such as low-precision FP4 arithmetic and splittable array topologies, emphasizing that quadratic scaling and massive parallelism drive future efficiency gains in silicon design.
- Y Combinator50 min
How The Best Companies Defend Against Mediocrity And Rot
Eric Ries exposes how the 1980s doctrine of shareholder primacy systematically undermines long-term company value, citing cases like Jeff Lawson's ouster at Twilio and Saul Price's departure from FedMart as evidence that founder control is often lost to short-term investor demands. To counter this instability, the event advocates for structural reforms such as the industrial foundation model, which legally prioritizes mission over profit, as demonstrated by the sustained success of entities like Novo Nordisk and the mission-preserving safeguards of Anthropic. The presentation concludes by urging founders to immediately adopt Public Benefit Corporation status and design "governance fortresses" to insulate their organizations from the inherent conflicts of standard corporate governance.
CIO of Marc & Ben's Multi-Family Office: SpaceX IPO, Anthropic & OpenAI
Michel Del Buono, Molly O'Shea
This comprehensive discussion explores wealth optimization strategies for founders and high-net-worth individuals, covering critical topics such as Trust, Estate, and Tax Planning, Secondary Market dynamics, and Portfolio Construction. Key figures and experts address the risks of isolated trust structures, the complexities of SPV secondary deals, and the tax efficiencies of real assets like data centers and qualified small business stock. The dialogue concludes by emphasizing a multidisciplinary approach that aligns investment diversification with global mobility choices and specific family values to maximize legacy and minimize unnecessary tax liabilities.
- Goldman Sachs11 min
Why Rates Could Keep Rising
Phillip Lee, Chris Hussey, Phil Lee
Rising real yields are driven by a convergence of inflation uncertainty, resilient growth, and elevated fiscal deficits, causing market expectations to shift from anticipated rate cuts to a prolonged pause or potential hikes. The Federal Reserve's upcoming June guidance from its new Chairman underscores this uncertainty, while higher mortgage rates are stifling the housing market and eroding consumer spending power. Institutional investors are consequently adopting a bear-steepener strategy, maintaining dynamic patience in fixed income portfolios to navigate the divergence between robust equity performance and weakening underlying consumption.
- Jane Street30 min
Jane Street on GPUs, Trading, and Hiring: A Conversation with Dwarkesh
Jane Street, Dwarkesh Patel, Ron Minsky, Dan Pontecorvo
Jane Street executes a multi-tiered trading strategy that balances nanosecond-scale FPGA execution with long-horizon AI models while transitioning to a disaggregated global network featuring a $6 billion compute partnership with CoreWeave. The firm prioritizes model architecture diversity and custom hardware, including ARM and NVIDIA infrastructures, to navigate high-noise financial data without relying on single foundation models. This approach is supported by a hiring strategy focused on scarcity-driven talent acquisition and a human-in-the-loop philosophy that maintains critical judgment during complex market anomalies.
Anthropic Raises $30BN at $900BN Price | SpaceX Files S1: How Does it Trade | Cerebras Smashes Day 1
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic secured $30 billion at a $900 billion valuation, with founder Dario Amodei prioritizing rapid funding to build independent gigawatt-scale compute infrastructure rather than relying on hyperscalers. This capital injection contrasts with OpenAI's complex contingent structures and precedes a projected November IPO, while Cerebras' successful debut validates strong market demand for AI hardware despite growing public skepticism over layoffs and job displacement. The event highlights a strategic shift where enterprise AI adoption is becoming cost-efficient enough to challenge trillion-dollar revenue projections, forcing traditional SaaS models to compete against autonomous agents and massive infrastructure expansion.
- Goldman Sachs16 min
Caitlin Clark on Navigating Pressure and the Future of the WNBA
Following her NCAA all-time scoring record and selection as the number one WNBA draft pick by the Indiana Fever, Caitlin Clark overcame significant injury hurdles to secure Rookie of the Year honors and guide the franchise to its first Finals appearance since 2016. Clark's professional development has been shaped by strict parental guidance and a transition to elite competition that prioritizes defensive fundamentals and team chemistry over individual stardom. Looking ahead, she advocates for organic growth in the league, projects WNBA expansion to 18 teams by 2028, and aims to serve as an authentic role model while preparing for future international competition.
- Sequoia Capital1h 3m
Notion’s Ivan Zhao: The Refounder
Ivan Zhao, Jack Dorsey, Brian Armstrong, B Halligan
Notion CEO Ivan Jawan has steered the company through two strategic refoundings, most recently pivoting to an AI-native model that replaces traditional hierarchies with a fluid "jazz band" structure relying on self-managed teams and AI as the central information processor. This transformation involves restructuring hiring to prioritize individual agency over experience, merging product roles to leverage AI agents, and shifting compensation toward a high-meritocracy "wartime" model. By treating product development as non-deterministic experimentation rather than rigid planning, Notion aims to scale effectively while maintaining a culture that functions as a shared belief system among its fifty to sixty acquired founder-employees.