Latest Interviews
Showing 541–555 of 6,396 interview transcripts.
Clear all filters- Stanford Online46 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Infrastructure, Capstone Case
Former Intel CTO Kati Katti, now at OpenAI, details the organization's aggressive pursuit of 30 gigawatts of compute capacity to support a future dominated by complex agentic workloads and massive inference demands. This strategy involves overcoming severe supply chain bottlenecks and grid constraints through specialized infrastructure like nuclear power and Cerebras accelerators while prioritizing gigawatt-scale deployment over fragmented edge solutions. Katti predicts the AI value chain will eventually shift from hardware foundations to application-layer outcomes, as the industry races to solve the critical shortage of logic and memory fabrication capacity.
- The Economist7 min
A former CIA director on whether Russians are losing faith in Vladimir Putin
Vladimir Putin, Bill Burns, Shashank Joshi
CIA Director William Burns anticipated Russia's 2021 invasion based on intelligence revealing Vladimir Putin's belief that Ukraine was a domestic Russian issue and that Western allies were distracted, a miscalculation that has now led to a strategic inflection point. Following four years of conflict characterized by Russian casualties exceeding recruitment and severe damage to its energy sector, internal Moscow pressure is mounting despite Putin's tight repression and a temporary economic lifeline from energy exports to Iran. Current assessments indicate that any potential negotiation will likely require sustained battlefield support for Ukraine combined with severe economic pressure, even as the war's duration has depleted critical U.S. interceptor inventory needed by Kyiv.
- Y Combinator47 min
Inside YC's AI Playbook
Pete Koomen, Gary, Jared, Diana, Tom, Boris
Y Combinator has redefined its operational model by evolving into a super AI-native organization that treats artificial intelligence as a foundational infrastructure rather than a mere tool, enabling autonomous agents to access a unified PostgreSQL database for complex business logic. This architecture supports a dynamic ecosystem of over 350 specialized tools and a daily "dream cycle" process that refines workflows based on meeting transcripts, effectively compressing employee onboarding and eliminating traditional manual coding bottlenecks. By broadcasting internal agent interactions to public channels and investing heavily in token costs, YC advocates for a decentralized future of just-in-time software where human prompts drive the interface, positioning the firm to leapfrog competitors reliant on conventional co-pilot methodologies.
- a16z55 min
The $1 Trillion Firm That Refuses The Private Equity Label | a16z
Apollo Global Management is pivoting from traditional private equity into a global retirement services giant with over $1 trillion in assets to address systemic market concentration and fund the capital-intensive AI infrastructure boom expected in 2025 and 2026. By standardizing private credit products and expanding into hybrid equity, the firm aims to provide diversification for public markets while navigating the shift toward hard-asset financing for data centers and energy. Simultaneously, Apollo is restructuring its organizational culture to prioritize merit and technological adaptation, positioning itself to capture value in a landscape where traditional enterprise software valuations face obsolescence due to artificial intelligence.
- 80,000 Hours1h 7m
How to pivot before the intelligence explosion
Zershaaneh Qureshi, Benjamin Todd, Zashana, Ben Todd
Ben Todd and the *80,000 Hours* team outline a strategic framework for navigating AI risks by analyzing three potential timelines, from rapid AGI emergence to compute plateaus, while urging professionals to build career capital in operations, policy, and communication roles. The discussion details how automating AI research could compress five years of progress into months, creating extreme power concentrations that demand urgent governance and diversified workforce strategies to mitigate inequality. Finally, the event offers a five-step transition playbook and emphasizes that marginal improvements in career capital, donations, and political advocacy can significantly increase the probability of a positive outcome in an era of accelerated technological change.
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.