Latest Interviews

How Surbhi Sarna Built A $275M Biotech Company From Nothing

Surbhi Sarna, Ryan Briggs

Serby Serna founded Envision Medical to develop the first FDA-cleared device for early ovarian cancer detection, overcoming significant investor bias by securing seed funding before raising $20 million to advance the technology. The company achieved a $275 million acquisition by Boston Scientific after demonstrating clinical viability, marking a successful exit for Serna who previously faced rejections based on her lack of advanced degrees. Now a Group Partner at Y Combinator, Serna leverages her experience to advocate for biotech founders based on problem-solution fit rather than traditional academic credentials.

Universally Accessible Intelligence with Character.ai's Noam Shazeer

Noam Shazeer, Sarah Wang

Co-founder Noam Shazeer details Character.ai's vertically integrated strategy to accelerate AGI development by prioritizing generalizable dialogue models over domain-specific applications, a choice that has driven over 20 billion messages and sustained two hours of daily engagement per user. The company leverages current scaling laws to rapidly reduce training costs while projecting a model tens of IQ points smarter by year-end alongside multimodal enhancements like voice and long-term memory. Shazeer frames the technology as a pre-AGI breakthrough comparable to the Wright Brothers' first flight, predicting ubiquitous, affordable intelligence within a year as global H100 infrastructure expands, while dismissing immediate existential risks in favor of a four-month pause for safety verification.

40 AI Founders Discuss Current Artificial Intelligence Technology

The panel explored generative AI's expanding capabilities in creative storytelling, rapid software development, and indistinguishable voice synthesis while highlighting persistent operational hurdles like hallucinations and the difficulty of balancing deterministic logic with probabilistic outputs. Speakers detailed the necessity for continuous model fine-tuning across dynamic sectors like fashion and the critical reliance on human-in-the-loop verification to manage reliability risks in high-stakes fields such as healthcare. Ultimately, the discussion framed current AI technologies as tools designed to augment human judgment rather than replace it, emphasizing that long-term viability depends on building user trust through transparent accuracy metrics and nuanced oversight.

The Truth Behind Salary Transparency

Shannon Schiltz, Brandon Cherry

Since 2016, over a dozen U.S. states have enacted salary transparency laws that now cover more than 25% of the labor force, shifting pay range disclosure from a Silicon Valley cultural norm to a mandatory component of job listings. To comply effectively, organizations must establish defined compensation philosophies, leveling architectures, and objective market data validation before reaching 50 employees to mitigate negotiation bias. Experts advise that these structural ranges serve as dynamic guiding principles rather than rigid rules, requiring early implementation to handle exceptions for critical talent while preventing arbitrary pay disparities.

Living Up the Promise of A True Second Brain with Nat Eliason

Nat Eliason

Nat Eliasson critiques the traditional "filing cabinet" model of knowledge management, arguing that 95% to 99% of stored digital notes are never revisited and that true utility requires AI-driven systems capable of proactively surfacing relevant ideas during the creative process. He predicts that within two to three years, customizable AI assistants will emerge to index vast personal data libraries, automatically transforming single concepts into multiple content formats to solve the inefficiencies of modern platform algorithms. This future technology represents a shift from passive data retention to active cognitive collaboration, with users potentially paying premium fees for tools that function as a true "second brain."

Emerging market equities poised to overtake developed market equities

Kevin Daly, Alison Nathan

Presentations by financial strategists project a structural shift where emerging market equity capitalization rises to 55% of the global total by 2075, driven primarily by the transition of private assets to public markets and sustained GDP growth in nations like India and China. While demographic shifts and potential protectionism pose risks, the long-term outlook favors diversifying away from US exceptionalism toward a globally balanced portfolio to capture higher earnings growth and rising valuation multiples. This strategic pivot anticipates that seven of the ten largest economies in 2075 will be current emerging markets, fundamentally altering the landscape of global investment returns.

Winning the long war in Ukraine

The Ukrainian counter-offensive has transitioned the conflict into a protracted war of attrition, prompting leadership to reject short-term victory timelines in favor of long-term endurance strategies. Kyiv is increasingly leveraging deep-strike drone campaigns against Russian strategic assets and the home front to shatter Kremlin narratives without triggering major escalation, thereby encouraging allied nations to reconsider supplying advanced weaponry. With peace negotiations deemed futile as both sides bet on exhaustion, the conflict's trajectory now depends on societal resilience and economic stability rather than immediate territorial gains, with analysts predicting the war will only end when Russia's leadership determines the human and financial costs are unsustainable.

AI and our future with Yuval Noah Harari and Mustafa Suleyman

Yuval Noah Harari, Mustafa Suleyman

In a forecast for AI capabilities by 2028, Mustafa Suleiman and Yuval Noah Harari envision frontier models that will autonomously negotiate, execute multi-step actions, and interface with external APIs. While Suleiman frames these tools as engineered systems requiring deliberate constraints to prevent unintended agency, Harari argues that the technology's potential for independent idea creation marks the end of human-dominated history and introduces unique existential risks. To address these challenges, both speakers advocate for a "coalition of the willing" to enforce bans on harmful practices like human-impersonation bots, emphasizing the need for international cooperation over a geopolitical race to the bottom.

Why You Shouldn't Copy Your Tech Idols

Michael Seibel, Dalton Caldwell, Elon Musk, Sam Altman, Peter Thiel

Prominent technology leaders often advise founders to bypass early, conventional milestones in favor of immediate, massive-scale ventures, despite their own success historically relying on those very standard steps. This disconnect between current resources and past trajectories creates a dangerous blueprint for the vast majority of entrepreneurs who lack the specific advantages these titans accumulated during their initial phases. To address this, organizations like Y Combinator now emphasize contextualizing advice by sharing personal failures and tailoring strategies to individual backgrounds rather than promoting a one-size-fits-all "unicorn" playbook.

Can You Prove The Big Bang Theory?

John Mather, Stephen Hawking

Nobel laureate John Mather led the COBE satellite mission, which captured the first precise map of cosmic microwave background radiation and confirmed the Big Bang theory by revealing the minute temperature fluctuations necessary for galaxy formation. As the senior project scientist for the James Webb Space Telescope, Mather has overseen the discovery that massive galaxies formed much earlier and faster than existing simulations predicted, fundamentally challenging current models of cosmic evolution. This ongoing research highlights how the interplay of quantum mechanics, thermodynamics, and gravity naturally generates universal complexity, pointing toward the need for new physics to fully explain the origin of life and structure.

Normalizing inflation: are ‘hard yards’ ahead?

Ashok Varadhan, Sam Grobart, Ashok Singhala

Goldman Sachs Chief Economist Jan Hatzihas lowered the U.S. recession probability to 15% as disinflation approaches 2%, yet the firm warns that the final steps to this target may require restrictive policy rather than natural market cooling. While investment-grade corporate debt remains resilient due to pandemic-era fixed-rate lock-ins, rising costs are projected to isolate distress within lower-quality credit segments. The economic outlook currently hinges on whether the Federal Reserve can achieve its 2% inflation goal via "gravity" without triggering the severe market turbulence associated with draconian intervention.

The True Cost of Compute

Guido

Training large language models now requires astronomical computational resources costing tens of millions of dollars, with startups often allocating over 80% of their capital to secure the specialized hardware needed for training phases that consume six times more operations than inference. While the absolute expense of training is projected to rise as the industry expands, experts anticipate that a looming scarcity of high-quality human-generated data will soon become a more significant constraint than compute availability. Consequently, this dynamic creates a competitive environment where well-funded entrants can overcome capital barriers, provided they navigate the diminishing returns of scaling model size without matching data quantities.

How Angela Hwang helped lead Pfizer through the unknowns of Covid to deliver a vaccine

Angela Hwang, Jerry Lee

Angela Huang, Pfizer's Chief Commercial Officer, detailed the "Project BioSpeed" initiative that accelerated the development of the company's COVID-19 vaccine to approximately nine months through parallel development and a "fixed goal, flexible process" framework. Under her leadership, which spans 26,000 colleagues across 185 countries, the organization scaled annual manufacturing capacity from 200 million to over one billion doses while enforcing a mandatory 30% minority representation in clinical trials. The presentation highlighted how this crisis-driven collaboration required admitting uncertainty and failing fast without altering the final deadline, offering a model for translating high-stakes innovation into standard business operations.

Tim Urban from "Wait But Why" reflects on his famous blog post that predicted the AI revolution

Tim Urban, Harry Stebbings

This analysis revisits 2015 perspectives on artificial intelligence to evaluate the continued validity of distinctions between narrow, general, and superintelligence while identifying critical risks such as the erosion of societal trust and the destabilization of shared reality. The discussion highlights existential threats ranging from the disruption of critical infrastructure to geopolitical shifts favoring de-globalization, alongside warnings that concentrated AI power could undermine human stability despite its potential to solve major challenges in health and climate change. Ultimately, the author balances a rational pessimism regarding immediate civilizational fragility with a personal optimism that humanity will likely achieve an advanced, problem-solving society by 2080.

The Secret That Silicon Valley's Top Investors All Share

Dalton, Michael

Top-tier venture capital firms frequently contradict their public criticism of the Y Combinator program by deploying significant capital into its portfolio, a behavior driven by YC's role as an efficient pre-selection filter that solves the sourcing and validation problems inherent in early-stage investing. Despite claims of preferring to "farm their own" deals, investors like Andreessen Horowitz and Sequoia Capital rely on the accelerator to transform thousands of applications into viable, data-rich companies while navigating operational constraints that limit their ability to source raw deals directly. This dynamic creates friction as investors complain about YC's parallel meeting models and inflated post-Demo Day valuations, yet ultimately prioritize these firms' actual investment patterns over their vocal marketing narratives when evaluating market reality.