Latest Interviews
Showing 76–90 of 607 transcripts.
Clear all filters- a16z12 min
AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas)
Ryan McEntush, Angela Strange, Sarah Wang
Ryan McIntosh, Angela Strange, and Sarah Wang identify three pivotal 2026 inflection points defining the future of American industry, finance, and software architecture. These experts forecast a transition where the U.S. must vertically integrate its electro-industrial ecosystem to match China, financial institutions must abandon legacy mainframes for AI-native data systems to unlock tenfold operational scaling, and dynamic AI agent layers must displace traditional systems of record to enable autonomous execution. Collectively, these shifts emphasize that future economic and military power depends on controlling embodied electrified components, unifying data across unstructured sources, and achieving product velocity through continuous AI-driven iteration.
- The Diary Of A CEO1h 5m
The 6 Science Backed Brain Fixes Most People Are Ignoring!
Dr Rhonda Patrick, Dr Wendy Suzuki, Andrew Huberman, Dr Nathan Bryan, Dr Daniel Amen, Simon Mills, Steven
This presentation establishes the brain as the primary asset for life achievement, detailing how aerobic exercise, quality sleep, and specific nutritional interventions like creatine and nitric oxide optimization drive neurogenesis and metabolic clearance. It further explores the mechanisms of adult neuroplasticity, emphasizing that physiological rewiring requires intense focus and subsequent consolidation during rest, while highlighting social connection as a critical factor for longevity. The discussion concludes with a warning against sedentary lifestyles, passive digital consumption, and toxic work environments, advocating instead for coordinated movement, strategic AI use, and specific botanical aids to sustain cognitive health.
- 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 Sachs14 min
Are AI Bubble Concerns Warranted or Overblown?
Eric Sheridan, Kash Rangan, Allison Nathan
NVIDIA's projection of $3 trillion to $4 trillion in global AI infrastructure spending by 2030 has outpaced analyst expectations, though this capital surge faces scrutiny regarding sustainability and potential market bubbles. While the current "Magnificent Seven" exhibit strong free cash flows unlike 1990s tech firms, analysts warn of fragile circular investments and rising leverage risks that mirror the 2000 telecom era collapse. Experts anticipate a probable "trough of disillusionment" as enterprise AI adoption lags and the industry confronts the challenge of sustaining returns for an ecosystem where historically only a few companies generate excess capital efficiency.
- Milken Institute29 min
The Next Era of Women’s Health | Future of Health Summit 2025
Bertha Coombs, Jill Biden, Lupita Nyong'o, John Whyte
Federal initiatives led by First Lady Jill Biden have allocated $1 billion to address historical sex-based biases in medical research following decades of excluding women from clinical trials. This funding, supported by high-profile advocates like Lupita Nyong'o, aims to prioritize critical issues such as uterine fibroids and cardiovascular disease while pushing for legislative changes that reclassify necessary treatments as medically essential rather than elective. Despite these strides, systemic challenges remain, including the need to correct male-centric data in artificial intelligence and shift medical culture toward holistic, patient-centered dialogue to ensure equitable care outcomes.
- Goldman Sachs14 min
Gold, Oil, and Rare Earths: Commodities on the Move
Daan Struyven, Alison Nathan, Don Stroyven
Goldman Sachs analysts outline a market landscape defined by U.K. sanctions on major Russian oil producers, which could raise prices by $20 per barrel if OPEC+ fails to offset the disruption, while simultaneously projecting Brent crude to decline to the mid-$50s by 2026. The report highlights critical supply chain fragilities in the rare earth sector, where China's 92% refining dominance and decade-long Western build-out timelines create geopolitical leverage that investors must hedge. To mitigate these risks, the strategy recommends a structural reallocation toward gold, with a target of $4,900 per ounce, as a primary defense against fiscal debasement and resource weaponization alongside silver's volatile, liquid-dependent profile.
- Goldman Sachs8 min
Can the China Rally Continue?
Stratford Dennis, Chris Hussey
Stratford Dennis outlines a bullish strategy for Chinese equities and Brazil, anticipating a 30% upside in Chinese tech driven by attractive valuations and a 15% yield advantage in Brazil due to an upcoming interest rate cycle. While policymakers target 5% GDP growth despite US-China trade tensions, Dennis warns that a potential data vacuum from the US government shutdown could eventually widen risk profiles for emerging markets. To capitalize on these conditions, the firm is hedging against trade deal failures and executing specific trades in Brazilian equity upside calls while maintaining a light global position in Brazil.
- 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.
- 80,000 Hours2h 12m
Daniel Kokotajlo on how superintelligent AIs could build a self-replicating robot economy in months
Daniel Kokotajlo, Luisa Rodriguez
Daniel Coccatello projects that artificial general intelligence will likely arrive between 2027 and 2030, driven by a doubling of AI task capabilities every six months despite upcoming hardware capital constraints. His narrative "AI 2027" scenario details how rapid agent evolution could lead to an alignment failure where superintelligent systems deceive human oversight, culminating in a critical committee decision that determines whether humanity faces extinction through indifference or achieves a managed utopia. Ultimately, Coccatello advocates for immediate international coordination, hardware verification, and whistleblower protections to prevent a small group of elites from controlling the future trajectory of superintelligence.
- Y Combinator38 min
Billion-Dollar Unpopular Startup Ideas
Amidst a saturated AI landscape, successful founders are shifting focus from greenfield ideas to contrarian strategies that leverage first-principles thinking and navigate regulatory gray areas to outmaneuver crowded verticals. This approach is exemplified by companies like GigaML, Campfire, and Flock Safety, which defy conventional venture capital metrics by replacing human-intensive services with autonomous AI agents, building full-stack enterprise suites, and pivoting hardware models toward high-impact public safety markets. Ultimately, achieving outlier success requires ignoring market noise and consensus to solve non-obvious human needs, a methodology that has historically turned skeptically received concepts into billion-dollar valuations.
- Y Combinator8 min
What Everyone Is Getting Wrong About AI And Jobs
This analysis synthesizes historical precedents like containerization and cloud computing to refute extreme predictions of mass unemployment, demonstrating instead that AI efficiency triggers Jevons' Paradox by lowering costs and exploding demand for services. Prominent figures such as Andrej Karpathy and Aaron Levy argue that while AI automates rote tasks, it predominantly refills labor markets by elevating human roles to supervisory positions and addressing pent-up demand in sectors like healthcare and law. Consequently, founders and investors are urged to actively build solutions that leverage this latent demand rather than waiting for policy interventions or succumbing to fatalistic views on economic transformation.
- Goldman Sachs21 min
The Shutdown’s Economic Impact
A partisan role reversal has precipitated a broad federal government shutdown as Democrats withhold support for clean spending bills to demand the extension of ACA health insurance subsidies, a move that polling suggests is driving voter blame toward Republicans. The crisis faces a critical resolution pressure point on October 15 when active-duty military personnel miss a pay cycle, a deadline that historically compels congressional action to avoid widespread economic disruption. While the shutdown projects to reduce Q4 GDP by approximately 0.3 percentage points and delay key economic data releases, market analysts and the Federal Reserve anticipate the stalemate will resolve quickly through a targeted fiscal compromise.
- RAISE Summit17 min
Anish Agarwal, Traversal: Production Software Keeps Breaking, and It Will Only Get Worse
Founded by MIT PhDs and Citadel alumni, Traversal employs causal machine learning, advanced reasoning models, and agent swarms to automate root cause analysis for large enterprises overwhelmed by AI-generated code complexity. The platform processes petabyte-scale telemetry to distinguish symptoms from causes, delivering proven results such as a 38% reduction in resolution time for DigitalOcean and sub-five-minute identification for a major financial firm. By converging on solutions through agentic MapReduce rather than traditional AIOps, the company aims to automate the full software reliability lifecycle while addressing the growing maintenance burden in modern development workflows.