Latest Interviews
Showing 361–375 of 5,331 transcripts.
Clear all filters- Stanford Online1h 1m
Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence
Andreas Blattmann, Anjney Midha
Black Forest Labs, a Freiburg-based team of former Stability AI researchers, has scaled a 25-person operation to a $3 billion valuation by bootstrapping the Flux family of multimodal generative models. The company distinguishes itself through an open-weight commercial strategy and a strict adherence to EU AI Act compliance, maintaining identical safety guardrails for all partners including Meta and XAI. Looking forward, the organization is shifting its research focus from image synthesis to physical AI and robotics, aiming to validate model intelligence through real-world causal interactions rather than subjective aesthetic metrics.
- Stanford Online1h 6m
Stanford CS153 Frontier Systems | Mati Staniszewski from ElevenLabs on The Future of Voice Systems
Mati Staniszewski, Anjney Midha
Founded in London by Matt Garman and Piotr to address poor voice dubbing quality, ElevenLabs evolved from a self-funded experimental project into a $430M ARR enterprise by 2025 through a dual strategy of product-led growth and forward-deployed engineering. The company advanced AI audio technology from isolated text-to-speech models in 2022 to integrated, emotionally reactive voice agents that support everything on-device processing to humanitarian applications for speech-impaired patients. By prioritizing safety watermarking and collaborative ecosystem partnerships over defensive patents, ElevenLabs now positions itself as a dominant conversational platform capable of handling complex global tasks while navigating emerging ethical and economic challenges in voice cloning.
- a16z23 min
Digital Freedom, AI Regulation, and the Fight for the Western Internet | The a16z Show
The U.S. administration is prioritizing the development of a "Western AI stack" to counter adversarial nations and dismantle prior State Department censorship apparatuses by redefining public diplomacy around user empowerment and free speech. Key figures like Under Secretary Rogers are leading an office restructuring that rejects opaque foreign information integrity initiatives while countering EU regulatory threats that use digital safety laws to penalize protected political expression. This strategy aims to align AI policy with First Amendment principles, ensuring that transparency, individualistic reasoning, and user-driven moderation tools serve as the primary defense against authoritarian models and foreign viewpoint-skewed legislation.
- The Economist8 min
Are AI models running out of power? | The Economist
Facing severe hardware shortages and monopoly choke points where Nvidia and TSMC dominate supply, major AI developers like OpenAI and Anthropic are throttling services and redirecting resources to manage capacity. In response to these constraints, five cloud providers plan a $700 billion infrastructure build-out while companies grapple with three-to-five-year lead times for essential components and aging chip inventories. This fundamental mismatch between rapid software cycles and slow physical production is projected to reverse declining inference costs, potentially raising prices and slowing overall industry adoption.
- All-In Podcast1h 21m
OpenAI Misses Targets, Codex vs Claude, Elon vs Sam Trial, Big Hyperscaler Beats, Peptide Craze
Elon, Sam, Friedberg, Jason Calacanis, David Sacks, Chamath Palihapitiya
OpenAI faces mounting structural tensions as it misses 2025 revenue and user targets while CEO Sam Altman pushes for an IPO against CFO Sarah Fryer's caution amidst $600 billion in future compute commitments. The company currently maintains a compute advantage over rivals like Anthropic through excess data center capacity, even as the broader AI sector grapples with power grid bottlenecks and a record $725 billion in hyperscaler capital expenditures for 2026. Concurrently, Elon Musk pursues a $150 billion lawsuit alleging a breach of charitable trust following internal documents revealing plans to remove him before the entity's conversion to for-profit status.
- The Economist6 min
How high could the oil price go? | The Economist
Zanny Minton Beddoes, Edward Carr, Mathieu, Henry
Global oil markets face a structural crisis where a 14 million barrel-per-day supply deficit has eroded the "sanguine" expectation of a quick peace deal, creating a price disconnect that literature estimates would require $167 to $460 per barrel to correct. With production gains from non-conflicted regions proving negligible, the market is currently absorbing this shortfall through record-fast inventory drawdowns of 8 to 10 million barrels daily, driven by pre-war shipments and sanctions-induced cargo displacement. As critical buffers for jet fuel and diesel approach minimum levels and logistical constraints lengthen trade routes, the only remaining adjustment mechanisms involve further depletion of commercial stocks or active demand destruction in major consuming regions like Asia.
- Goldman Sachs15 min
Riding the AI Wave
The April 30 FOMC meeting revealed a divided Federal Reserve committee that shifted from expectations of a near-term rate cut to a non-committal stance, a position reinforced by the incoming appointment of hawkish member Kevin Warsh. While private sector leverage has decreased since the Great Financial Crisis, concerns regarding public sector debt sustainability and elevated term premiums persist alongside a robust equity rally driven by hyperscalers and artificial intelligence. Investment strategists consequently maintain a bullish but cautious 7/10 allocation to technology, avoiding fixed income while rotating into energy and defense to hedge against potential consumer drawdowns expected in the mid-year "air pocket."
- Y Combinator38 min
Recursion Is The Next Scaling Law In AI
Ankit Gupta, Francois Chaubard
Two 2025 research initiatives, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM), challenge standard scaling laws by utilizing inference-time recursion to achieve state-of-the-art reasoning with drastically fewer parameters. HRM reaches 27 million parameters using a three-level weighted hierarchy, while the simplified TRM distills the architecture to just 7 million parameters yet achieves 87% accuracy on ARC-Prize benchmarks by treating recurrence as a dynamic latent memory tape. These systems overcome historical RNN limitations through Deep Equilibrium Models and latent recursion, offering a pathway to efficient, deep reasoning that diverges from traditional Chain-of-Thought constraints.
Figure's First Full HQ Tour: From the Lab to the Factory Floor
Brett Adcock, Molly O'Shea, Moritz
Figure AI is a Bay Area-based pure-play manufacturer with a 500-person engineering workforce deploying its flagship Figure 3 humanoid robot, which operates autonomously using the locally running Helix AI policy. The company has achieved record production output at its "Baku" facility while reducing unit costs by 90% compared to previous models, enabling deployments in settings ranging from the White House to BMW automotive assembly lines. Looking ahead, Figure aims to commercialize a lease-based home model and advance toward its "iPhone moment" with the upcoming Figure 4, which targets radical improvements in cost and usability while pursuing physical interaction-based AGI.
- Stanford Online1h 6m
Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems
Instructor Anj Pransanjane guides a cohort of roughly 500 in-person and thousands of remote students through a course framing the current AI era as a "great transition" driven by $1.2 trillion in projected compute investments. The curriculum details shifting industry bottlenecks, such as the rising costs of H100 GPUs and the strategic importance of verifiable context, while urging participants to build asymmetric advantages in non-scalable personal niches. Ultimately, the program challenges students to identify the necessary standards and institutions to transform compute from a monopolized resource into a standardized commodity.
The $10 Trillion Bet on Humanoid Robots | Figure Founder Brett Adcock
Founded by Archer eVTOL creator Brett Adcock, Figure AI pursues the commercialization of general-purpose humanoid robots capable of operating autonomously for extended shifts across diverse industries. Having raised nearly $2 billion with a $39 billion valuation, the company recently terminated an OpenAI partnership to maintain control over its vertically integrated hardware and AI stack, aiming to triple production by May and deploy thousands of units within the year. Despite facing technical hurdles in scaling reliability, Figure projects a market opportunity worth trillions as it transitions from prototype testing to mass commercial deployment in homes and factories.
- Milken Institute51 min
Bending the Cost Curve: Understanding the GLP-1 Era | Global Conference 2025
Josh Barro, Michael Ferro, Simon Johnson, Lisa Stevens
A panel of industry leaders and medical experts analyzed GLP-1 drugs as a transformative treatment that significantly improves cardiovascular health and reduces long-term healthcare costs, provided patients adhere to therapy. The discussion highlighted a critical adherence gap where global discontinuation rates reach 50%, contrasting with a UK pilot program that achieved 98% retention through AI-driven telehealth and mandatory screening. While facing challenges like high initial costs, supply chain fraud, and societal stigma, successful employer-led programs are emerging as essential mechanisms to manage access, ensure safety, and align financial incentives for sustained workforce productivity.
- All-In Podcast1h 9m
CA Governor Candidate Steve Hilton on Why California is Destroying Itself & How a Republican Can Win
Steve Hilton, Chamath, Jason, Friedberg
Steve Hilton, a former UK government advisor and naturalized U.S. citizen, is leading the crowded California gubernatorial race by proposing a radical conservative platform focused on eliminating state income tax for households earning under $100,000 while slashing the state budget by $60 billion. His policy agenda identifies union power, CEQA litigation, and climate regulations as primary drivers of the housing and energy crises, advocating for immediate construction deregulation, increased oil production, and strict law enforcement to address homelessness and crime. With poll numbers ahead of Democratic contenders, Hilton aims to capitalize on a perceived Republican base in the state to implement these affordability measures in the 2026 election.
- Y Combinator41 min
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
DeepMind CEO Demis Hassabis projects Artificial General Intelligence will emerge around 2030, contingent on inventing specific architectural breakthroughs in continual learning and structured memory rather than merely scaling current methods. While deep tech startups are warned to anticipate AGI disrupting their decade-long cycles, the organization is simultaneously deploying efficient, modular "Flash" and open-source nano models to power edge devices and accelerate scientific discovery in fields like drug design and materials science. Ultimately, DeepMind advocates for interdisciplinary collaboration between AI and physical sciences to overcome current reasoning limitations and drive the next generation of autonomous agents.
300 Pages on Anduril: Inside Modern Warfare
Anduril Industries disrupts the defense sector by replacing the Pentagon's cost-plus acquisition model with fixed-cost contracts and a "build-to-mission" strategy that prioritizes high-volume, low-cost autonomous systems. The company utilizes its proprietary Lattice AI platform to integrate multi-domain assets into a unified network, aiming to counter China's industrial superiority by accelerating the production of drones, torpedoes, and munitions. Founded on the philosophy that credible military capability is essential for conflict deterrence, Anduril has seen its valuation double to roughly $60 billion as global power dynamics shift toward Great Power competition.