Latest Interviews

Coinbase fired him. Now he runs a VC firm with over $1 billion AUM.

Nick Tomaino

After being pushed out of Coinbase due to corporate friction, a former employee leveraged deep sector knowledge to transition into venture capital and launch the $26 million "Confirmation" fund. This capital formation relied on prior experience at Runa Capital, the reputation built through the high-demand "Token Summit" and *The Control* newsletter, and a conviction in crypto as a transformative social technology. The speaker utilized these established industry pillars to successfully raise significant investment despite lacking connections to traditional wealthy investors.

How To NOT Get Screwed As A Software Engineer

Dalton, Michael

This discussion identifies systemic equity imbalances and decision-making exclusion that frequently exploit technical co-founders, lead engineers, and early employees in startup environments. The speakers provide a diagnostic framework to distinguish between healthy risk-reward trade-offs and exploitative "bad patterns," such as the 90/10 founder split or the marginalization of technical staff from strategic planning. By advocating for direct negotiation of ownership and shared accountability, the presentation empowers technical professionals to align their compensation and influence with the actual value of their contributions.

Three ways anyone can make a difference, no matter their job | The 80,000 Hours career guide (2023)

The event analyzes the economic inefficiencies of traditional altruism while presenting data demonstrating that high-impact donating yields exponentially greater utility than personal spending or direct service. Speakers highlight that earning the global top 1% income allows a 10% lifetime donation to save roughly forty times more lives than a clinical career, with political advocacy and peer referrals further amplifying this multiplier effect. To operationalize these findings, the presentation promotes the "Giving What We Can" pledge, which has already secured over $3 billion from 9,000 members by encouraging a structured commitment of 10% of income to verified charities.

Which jobs help people the most? | The 80,000 Hours career guide (2023 edition)

This presentation argues that high-leverage careers in research, policy, or organization building often save more lives than direct service roles, utilizing examples like Karl Landsteiner's blood group discovery to illustrate the power of scale. It details five specific high-impact pathways, ranging from "earning to give" to strategic communication, while emphasizing that optimal impact requires aligning one's unique skills with the most pressing global problems. The discussion concludes by advising individuals to prioritize building career capital and ethical resilience, ensuring their professional trajectories can adapt to future challenges without incurring net negative consequences.

All the best advice we could find on how to get a job | The 80,000 Hours career guide (2023 edition)

This event reframes the job search as a high-volume sales process where candidates must prioritize reducing employer risk through referrals and tangible proof of capability. Attendees learn to navigate the three critical stages of generating qualified leads via network research, converting opportunities through portfolio projects and strategic interviewing, and negotiating favorable terms only after securing offers. Ultimately, the strategy aims to shift a candidate's trajectory from passive applicant to in-demand talent by systematically building career capital and leveraging word-of-mouth marketing.

How to find the right career for you | The 80,000 Hours career guide (2023 edition)

This presentation challenges the traditional view of career planning by arguing that professional abilities are constructed through practice rather than discovered, using historical data to demonstrate that early performance rarely predicts long-term success. It outlines a scientific method for career selection that replaces unreliable introspection with a hypothesis-driven approach, utilizing a tiered "ladder of tests" to empirically validate personal fit before committing to a path. By prioritizing reversible early experiments and high-upside opportunities, the framework guides individuals to maximize their impact and satisfaction through iterative learning rather than speculative prediction.

How to make your career plan | The 80,000 Hours career guide (2023 edition)

This framework outlines a dynamic career strategy that balances long-term vision with iterative planning to navigate the inherent instability of professional trajectories. It structures growth into three stages—Explore, Build Career Capital, and Deploy—while employing the ABZ plan and a seven-step implementation process to manage risk and clarify concrete next steps. Regular reviews every one to three years ensure that individuals can adapt their specific actions to evolving industry landscapes without becoming locked into rigid paths that hinder high-impact outcomes.

One of the most powerful ways to improve your career — community | The 80,000 Hours career guide

Benjamin

Thomas established the Fish Welfare Initiative to annually alleviate the suffering of one million factory-farmed fish, operating with a budget exceeding $500,000 through the strategic leverage of effective altruism networks. These communities function as specialized ecosystems that normalize high-impact behaviors, facilitate cost-sharing, and enable value exchange between divergent groups to maximize collective efficiency. While the movement addresses significant existential risks across fields like AI alignment and biosecurity, it simultaneously grapples with challenges regarding cultural stress, potential echo chambers, and recent controversies stemming from the FTX collapse.

What’s the biggest and most urgent problem in the world? | The 80,000 Hours career guide (2023)

The presentation establishes that selecting high-impact problems defined by scale, neglect, and solvability can increase career effectiveness by over 100 times compared to traditional charitable work. It specifically highlights artificial intelligence alignment as an extremely neglected area requiring urgent attention, noting that fewer than 300 full-time researchers currently address the complex challenge of ensuring AI goals match human values. To navigate these complexities, the authors recommend prioritizing career capital development and utilizing meta-strategies like global priorities research to maximize the marginal utility of both financial donations and professional labor.

Which jobs put you in the best long-term position? | The 80,000 Hours career guide (2023 edition)

Research indicates that peak professional productivity typically occurs between ages 40 and 60, necessitating a strategic early-career focus on accumulating "career capital" through skill development, networking, and financial runway rather than immediate impact. Individuals are advised to prioritize transferable abilities in high-growth sectors like artificial intelligence and quantitative sciences to build leverage against automation, while carefully balancing the trade-off between generalist flexibility and specialist depth. Ultimately, delaying high-impact contributions to master useful skills allows professionals to exert significantly greater influence during their peak performance years.

Want to do good in your career? How to choose which area to focus on | The 80,000 Hours career guide

Benjamin

The Strategic Framework for Effective Altruism proposes that individuals maximize career impact by prioritizing problems that are large in scale, neglected by current resources, and proven to be solvable. This methodology challenges intuitive choices like domestic healthcare or local charity by highlighting the diminishing returns of crowded fields and the potential for a hundred-fold increase in value through targeting global issues such as pandemic prevention or AI safety. By rigorously applying these three criteria while accounting for personal fit, the framework guides high-ability professionals toward interventions that address the most pressing and overlooked threats to human welfare.

Can one person make a difference? | The 80,000 Hours career guide (2023 edition)

Analysis of global health data reveals that while an average UK doctor saves roughly three lives over a career, marginal returns diminish significantly in saturated markets. Historical evidence of high-impact figures like Stanislav Petrov, who is credited with conservatively saving one billion lives, demonstrates that unconventional strategic choices can yield outcomes millions of times greater than standard clinical work. Consequently, the presentation argues that maximizing social impact requires shifting focus from individual effort to selecting high-leverage careers where decisions affect billions of people over long durations.

What makes for a dream job? | The 80,000 Hours career guide (2023 edition)

Research spanning three decades rejects the "follow your passion" myth, arguing instead that fulfilling careers are built by developing competence in work that helps others. The study identifies six critical ingredients for a dream job—engagement, meaningful impact, skill, supportive colleagues, minimal negatives, and work-life fit—while noting that financial rewards beyond $75,000 and the avoidance of stress yield diminishing returns on satisfaction. By adopting a "do what contributes" strategy and scoring career options against these empirically verified criteria, individuals can cultivate passion through mastery and altruism rather than relying on unreliable intuition.

David Meyer: Why You Should Hire People Who Aren’t In Product Already | E1076

David Meyer, Harry Stebbings

A seasoned industry expert critiques the dilution of product management quality, reframing the role as a discipline of negotiating impossible compromises between conflicting engineering and sales stakeholders rather than acting as a product CEO. The discussion details rigorous methodologies for truth-seeking customer research and organizational scaling, emphasizing that effective leaders prioritize learning velocity over shipping speed while navigating the tension between data metrics and human insight. Finally, the speaker outlines a philosophy where leadership success relies on tailored feedback, adversarial hiring panels, and maintaining deep customer intimacy to prevent burnout and preserve innovation as companies grow.

What the hell is going on inside neural networks? | Chris Olah

Chris Olah, Rob Woodland

Chris Olah leads Anthropic, a research organization founded to empirically investigate the internal mechanisms of large language models to ensure their safety and reliability. By reverse-engineering neural circuits and identifying abstract features such as multimodal neurons representing protected attributes, the team aims to detect dangerous failure modes and unknown unknowns that traditional testing misses. This approach relies on scaling laws and standardized tools like Microscope to build reproducible interpretability methods for increasingly powerful AI systems.