Latest Interviews
Showing 1–15 of 56 transcripts.
Clear all filters- 80,000 Hours49 min
What the hell happened with AGI timelines in 2026?
Between October and December 2025, the AI sector shifted from bearish skepticism to explosive growth driven by the release of Claude 3.5 and the emergence of capable autonomous agents, which propelled combined revenues for OpenAI and Anthropic to annualized rates of 700% to 1,600%. While frontier models achieved massive efficiency gains in high-feedback domains like coding and specific scientific proofs, with Anthropic's gross margins climbing to over 70% and internal productivity surging 800%, they still struggle with the strategic ambiguity and low feedback density of real-world business autonomy. This rapid acceleration has prompted a shortening of AGI timelines to a plausible 2028-2030 window, leading experts to advocate for coordinated pauses due to emerging compute bottlenecks and the urgent need for societal preparation.
- InstituteofTrading59 min
The Dirty Secrets of Trading Revealed
The Institute addresses retail traders' information overload and predatory educational practices by implementing rigorous mentorship programs led by verified professionals from major financial institutions. By enforcing zero percent IB agreements and promoting strict risk management frameworks, the organization has shifted industry incentives, grown a community managing $150 million in daily risk, and achieved Sharpe ratios between 1.4 and 2.6. Through collaborative efforts with regulators like the FCA, the Institute successfully transitions students from unverified losses to institutional-grade performance by emphasizing quantitative back-testing and downside protection over speculative volume.
- InstituteofTrading48 min
Sector Rotation Has Flipped the Script | At The Desk Ep.1
Capital is rotating out of speculative AI data center stocks into defensive sectors as the Federal Reserve signals potential rate hikes amid cooling inflation and a divergence between crypto assets and equities. Mega-cap tech firms like Nvidia and Broadcom saw share price declines despite record revenues due to guidance missing elevated expectations, while hyperscalers face scrutiny over massive capital expenditure projections and diminishing profit margins. Consequently, investors are shifting toward diversified long-short strategies and non-tech industries as concerns mount regarding the long-term unit economics of unprofitable AI enterprises.
- 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.
- Jane Street47 min
The Cost of Concurrency Coordination with Jon Gjengset
Jon Gjengset, John, Gabriel Kreiman
The presentation challenges the conventional view that mutexes are inherently slow, demonstrating instead that performance degradation in high-concurrency environments stems from CPU cache coherence overheads and MESI protocol costs rather than the lock mechanism itself. To address false sharing and serialization issues found in reader-writer locks, the speaker details the Left-Right data structure, a lock-free architecture that achieves linear scaling for read-heavy workloads by decoupling reader access from writer synchronization. Finally, the discussion emphasizes that optimal synchronization strategy depends on the specific read-to-write ratio and consistency requirements, urging developers to profile cache behavior and avoid blind optimization of lock primitives.
- a16z47 min
The New Media Playbook with Marc Andreessen & Ben Horowitz
Marc Andreessen, Ben Horowitz, Erik Torenberg
The firm fundamentally redefines media strategy by replacing the defensive posture of traditional journalism with an offense-oriented approach that prioritizes speed, founder-led personal branding, and content saturation to control narratives within a 24-hour cycle. By treating viral posts as the primary medium and leveraging an OODA loop of rapid observation and action, the organization enables portfolio companies to generate immediate engagement through direct CEO communication rather than abstract corporate messaging. This ecosystem now functions as a comprehensive launch service and talent development pipeline, positioning the firm as the definitive standard for "New Media" roles while advising leaders to embrace controversy as a necessary signal of power in a landscape where old media acts only as a lagging indicator.
- Milken Institute51 min
Innovation in Artificial Intelligence and Manufacturing | Middle East & Africa Summit 2025
Hunny Bhagchandani, Kaushik Burman, Frans Cronje, Songo Didiza, Guy Diedrich, Mostafa El-Ghorab, Kweilin Ellingrud, John Kamara, Francis Kariuki, Ayaan Mohamed, Editha Mshiu, Emily Musil, Nneile Nkholise, Derick Nwumfor Chunga, Michael Milken
Launched in 2021, the Milken-Mozzeppe Innovation Prize's fourth "AI and Manufacturing" track selected ten semi-finalists from over 12,000 global applicants to compete for a $1 million grand prize at the May 2026 Milken Institute Global Conference. A panel of industry experts evaluated these contenders based on commercial viability and technological depth, with five companies including Digitech Oasis and Blee Glee Management Company advancing to the final round while all ten recipients received $50,000 seed awards. Strategic commentary from leaders such as Michael Milken underscored the program's role in catalyzing local African manufacturing, creating youth jobs, and disintermediating global industries through AI-driven innovation.
- All-In Podcast1h 18m
All-In x Kill Tony: A Hilarious Holiday Special
Tony Hinchcliffe, Chamath, Friedberg, Jason Calacanis, David Sacks
The All-In Podcast team hosted its second annual holiday party in San Francisco, featuring comedian Tony Hinchcliffe to fill the void of Chamath Palihapitiya while Jason Calacanis, David Sacks, and David Friedberg delivered personal roasts. During the event, the hosts presented their annual "Bestie Awards" to identify major business winners like NVIDIA and Alphabet alongside political and scientific winners such as the crypto industry and asteroid nucleic acid discoveries. The gathering also served as a platform to discuss free speech trends, comedy industry shifts, and future technological breakthroughs while mocking specific political and social figures.
- Jane Street1h 21m
Matt Godbolt: Advanced Skylake Deep Dive
Matt Godbolt, a prominent C++ developer transitioning to HRT, presents a detailed reverse-engineered analysis of the Skylake-era CPU microarchitecture based on community findings rather than official documentation. The talk dissects critical pipeline stages including the front-end's instruction decoding, the micro-op cache limitations, and the complex register renaming mechanics that define the processor's performance characteristics. Key revelations include specific hardware flaws like the Loop Stream Detector bug, port allocation strategies, and the diminishing returns of increasing architectural register counts compared to the hundreds of physical registers already available.
- All-In Podcast1h 14m
OpenAI's Code Red, Sacks vs New York Times, New Poverty Line?
OpenAI has issued a "Code Red" directive requiring full-time office presence to address a sharp drop in market share from over 90% to 68% amid intensifying competition from Google's Gemini, Anthropic's Claude, and xAI's Grok. Simultaneously, the episode scrutinizes David Sacks' ethics controversy after New York Times allegations of conflicts of interest were dismissed by the Office of Government Ethics, with critics labeling the report a political hit job. The discussion further analyzes shifting economic dynamics, including state-level fiscal risks from wealth taxes and a predicted pivot toward multimodal, agentic AI models that threaten traditional subscription revenue models.
- Goldman Sachs58 min
10th Annual Goldman Sachs Gives Analyst Impact Fund
Kunal Shah, Asahi Pompei, Rob Lightfoot, Rishi Sunak, Lena Eberhardt, Kenne Ijekeme, Dr. Alex Dagan, Una Bradley, Cynthia Kahumbura, Gunjan Samtani, Pablo Salome, Edith Cooper, Julian Salisbury, Jim Cramer, Billie Jean King
Celebrating its tenth anniversary, the Goldman Sachs Gives Analyst Impact Fund concluded its 2024 London finals with judges including Kunal Shah and former Prime Minister Rishi Sunak evaluating proposals that ultimately awarded Jacaranda Health the top prize of $250,000. Four finalist teams representing global initiatives in maternal health, education, conservation, and assistive technology competed for a $550,000 grant pool, with Conservation X-Labs, Let's Get Ready, and Lifelights securing second, fourth, and third place respectively. The event highlighted the program's growth to 1,000 participating analysts in a single year and reinforced its role in cultivating leadership skills while driving significant community impact through technology-driven solutions.
- Jane Street1h 1m
Will Crichton: Rust for Everyone!
Will Creighton's research at the Cognitive Engineering Lab applies human-centered design and formal cognitive theories to address fundamental learning and debugging barriers in Rust. By developing three core tools—Aquascope for visualizing ownership permissions, Argus for interactive trait solver trees, and Flow History for precise program slicing—the team achieved a 9-point score increase in learner assessments and a threefold speedup in error localization during user studies. Future efforts are now directed toward resolving async/await complexities and promoting extensible IDE frameworks like CodeMirror to further advance a scientific approach to programming language design.
- All-In Podcast57 min
Winning the AI Race Part 5: President Trump on the AI Action Plan
President Trump, Chamath, Friedberg, Donald J. Trump, Nat, Jason Calacanis, Jacob Helberg, Doug Burgum, Howard Lutnik, Chris Wright, Lee Zeldin, Ted Cruz, David McCormick, Jensen Wong, Lisa Sue, Jeff Sprecher, Suzy Weil, Marco Rubio
The administration has secured major international trade and defense agreements with Japan, the EU, and NATO allies while establishing a universal tariff framework to pressure non-compliant nations. Domestically, the executive branch is accelerating energy dominance and AI development through the termination of the Green New Deal, the repeal of export restrictions, and the implementation of a federal standard that permits AI training on public data without creator consent. With key appointments led by David Sacks and the EPA, the government aims to achieve zero illegal border entries, trigger $17 trillion in private investment, and reclaim global manufacturing supremacy by 2026.
- All-In Podcast1h 30m
Trump Rally or Bessent Put? Elon Back at Tesla, Google's Gemini Problem, China's Thorium Discovery
Trump, Bessent, Elon, Andrew Ross Sorkin, Chamath, Jason, Friedberg
A panel of experts analyzes global market dynamics, noting that recent rallies stem from trade deal expectations rather than Federal Reserve support, while highlighting strategic tensions over China's control of rare earths and its lead in thorium energy research. The discussion extends to foreign policy, where participants advocate for accepting the Istanbul Deal to end the Ukraine war and criticizing the moralistic approach to nation-building. Finally, the group evaluates corporate strategies for Alphabet and Tesla, the fiscal hurdles facing the Department of Government Efficiency, and the regulatory complexities surrounding Nvidia's global supply chain.
- Sequoia Capital52 min
Turning Graph AI into ROI ft Kumo’s Hema Raghavan
Hema Raghavan, Konstantine Buhler, Sonya Huang, Constantine, Sonia
Kumo AI co-founder Hema Raghavan presents a GPU-accelerated AutoML platform that automatically constructs graph structures from relational data to enable predictive SQL-like queries without manual engineering. The system delivers rapid four-week proofs of concept for sectors ranging from fintech fraud detection to healthcare demand forecasting by integrating directly with Snowflake and Databricks while maintaining strict data residency. By combining optimized cost architectures with explainability features and LLM synergies, Kumo lowers the barrier to graph learning for diverse enterprises requiring immediate, accurate model insights.