Latest Interviews

#5 - Alex Gordon-Brown on how to donate millions in your 20s working in quantitative trading

Alex Gordon-Brown, Alexander Gordon-Brown, Robert Wiblin

Quantitative trading firms recruit STEM graduates through rigorous technical interviews to solve market inefficiencies, offering six-figure starting salaries that can escalate to millions for top performers within a decade. The industry operates with a partnership culture that emphasizes collaboration, risk management, and social responsibility, enabling successful employees to donate substantial portions of their high earnings to effective altruism causes. Beyond financial gain, these roles provide essential market liquidity while filtering candidates based on puzzle-solving aptitude and self-awareness rather than specific university credentials.

#4 - Howie Lempel on pandemics that kill hundreds of millions and how to stop them

Howie Lempel, Robert Wiblin

Identifying pandemics as the leading cause of future global catastrophic risk, the discussion highlights severe gaps in current disease surveillance and international coordination capabilities. It details specific philanthropic interventions, such as the Blue Ribbon Panel on Biodefense and educational grants for iGEM, aimed at bridging the divide between government inaction and the urgent need for proactive biodefense strategies. Furthermore, the analysis outlines critical policy recommendations for synthetic biology security, career pathways for interdisciplinary experts, and the necessity of shifting from reactive measures to developing rapid diagnostic platforms for unknown pathogens.

#3 - Dr Dario Amodei on OpenAI and how AI will change the world for good and ill

Dr Dario Amodei, Elon Musk, Sam Altman, Keiran Harris, Robert Wiblin

Founded by Elon Musk and Sam Altman, the nonprofit OpenAI employs approximately 55 researchers dedicated to ensuring Artificial General Intelligence benefits humanity through rigorous safety protocols and deep reinforcement learning. In the field's inaugural "Concrete Problems in AI Safety" paper, Amidey and colleagues identified actionable short-term risks such as reward hacking and adversarial examples, subsequently developing scalable supervision methods that allow agents to learn complex behaviors via human preferences rather than fixed reward functions. The organization advocates for high-impact technical careers focused on alignment and strategic coordination among major labs to prevent catastrophic outcomes while navigating geopolitical uncertainties in the race toward AGI.

#2 - Prof David Spiegelhalter on risk, stats and improving understanding of science

Prof David Spiegelhalter, Robert Wiblin, Jess Whittlestone, David Spiegelhalter, Keiran Harris

David Spiegelhalter, the Winton Professor for the Public Understanding of Risk at Cambridge University, advocates for using accessible metrics like the "microlife" and "micromort" to correct public biases regarding everyday health risks versus sensationalized threats. He highlights the success of institutions like the UK's NICE in applying statistical frameworks such as Quality-Adjusted Life Years to prioritize healthcare interventions while warning against the pitfalls of over-reliance on narrow indicators. Furthermore, Spiegelhalter urges academics to embrace public engagement as a professional duty and promotes strategies of resilience and flexibility for navigating deep uncertainty in both personal careers and long-term global policies.

#1 - Miles Brundage on the world's desperate need for AI strategists and policy experts

Miles Brundage, Robert Wiblin, Rob

Myles Brundage, a research fellow at the Future of Humanity Institute, analyzes the escalating security risks posed by bad actors and the structural incentives driving dangerous AI arms races. He advocates for incentive-compatible international coordination and in-house government expertise to prevent states and corporations from skimping on safety for competitive advantage. By shifting the field from abstract principles to concrete policy frameworks, Brundage emphasizes the urgent need for interdisciplinary collaboration to manage the diffusion of powerful AI capabilities.

#27 - Dr Tom Inglesby on careers and policies that reduce global catastrophic biological risks

Dr Tom Inglesby, Keiran Harris, Rob Wiblin

Dr. Thomas Inglesby of the Johns Hopkins Center for Health Security advocates for integrating catastrophic biological risk planning into existing public health and biosecurity frameworks rather than treating them as separate, siloed endeavors. He emphasizes that while natural pandemics currently pose the highest probability of threat, the rising accessibility of biotechnology necessitates a unified US Biodefense Strategy and sustained funding for initiatives like the Global Health Security Agenda to address both accidental and deliberate misuse. By promoting interdisciplinary training through programs like the Emerging Leaders Fellowship and urging legislative support for dedicated emergency response funds, Inglesby seeks to shift the system from reactive crisis management to proactive, resilient infrastructure.

#26 - Marie Gibbons on how exactly clean meat is made & the advances needed to get it in every store

Marie Gibbons, Natalie Cargill, Keiran Harris, Rob Wiblin

In this 80,000 Hours episode, host Natalie Cargill interviews Marie Gibbons, a GFI research fellow and physiologist who transitioned from veterinary medicine to champion cellular agriculture as the most viable path for global animal protection. Gibbons details the technical progression from harvesting satellite cells to scaling production using suspension bioreactors and plant-based scaffolds, while noting that cost reductions will likely drive market entry within the current year. Although the field faces logistical hurdles regarding media costs and regulatory approval, the discussion emphasizes a strategic industry shift toward specialization and collaboration to achieve cost parity with conventional meat within a decade.

#25 - Prof Robin Hanson on why we have to lie to ourselves about why we do what we do

Robin Hanson, Rob Wiblin, Kevin Simler

Robin Hanson argues that human behavior across education, religion, and charity is driven primarily by subconscious signaling motives to avoid violating social norms rather than by stated functional goals. This evolutionary framework explains why institutions prioritize credentialing and ritual over actual efficacy, creating a disconnect between conscious narratives and the real drivers of reproductive fitness and social status. To address these inefficiencies, Hanson proposes implementing decision markets and "marginal charity" strategies that align individual signaling incentives with tangible societal improvements while bypassing the political resistance of established elites.

Our top 3 lessons on how not to waste your career on things that don’t change the world

Maria Gutierrez, Benjamin Todd, Jared Paul, Ben, David Mackay

The discussion critiques counterproductive social interventions, such as the Scared Straight program which increased recidivism despite billions in funding, to introduce a framework for evaluating high-impact careers. Developed by 80,000 Hours and Oxford academics, this model assesses opportunities based on their scale, neglect, and solvability, using examples like malaria prevention and pandemic preparedness to illustrate where resources yield the greatest return. The analysis concludes that optimal impact requires balancing these three factors with personal aptitude to avoid low-effort initiatives that fail to address the world's most urgent problems.

Which jobs help people the most? (part2c) @ Cambridge University

The presentation outlines four strategic pathways for maximizing social impact: direct work, research, advocacy, and earning to give, each offering distinct leverage points through global scaling or financial multiplication. High-impact outcomes rely on identifying pressing problems, selecting the most effective modality, and securing roles where individuals can achieve top-tier excellence after years of dedicated development. Real-world examples, such as researchers pivoting to think tanks and professionals transitioning from high-paying tech jobs to donate substantial incomes, illustrate how personal fit and strategic selection amplify the effectiveness of these efforts.

What makes for a dream job? (part 1) @ Cambridge University

Benjamin Todd

Research by Kahneman and Deaton establishes that financial security only enhances emotional well-being up to a roughly $50,000 household income, after which engagement, meaning, and relationships become the primary drivers of fulfillment. Empirical evidence identifies "fulfilling challenges" characterized by autonomy and clear goals as the strongest predictors of career satisfaction, surpassing the allure of high-stress roles like actuaries or specific subject matter expertise. By synthesizing these findings into a strategy of developing competence to contribute to others, individuals leverage a "giving mindset" that fosters reciprocity and aligns personal success with the moral imperatives of global inequality and historical wisdom.

What are the world's biggest problems? (part 2b) @ Cambridge University

A speaker outlines a strategic framework for maximizing social impact by selecting career paths based on the criteria of neglect, scale, and tractability. Using quantitative comparisons of domestic versus global poverty and analyzing failed interventions like Scared Straight programs, the presentation identifies high-impact fields such as global health, migration reform, and scientific research where resources are scarce and evidence of efficacy is strong. The analysis concludes that deliberate, data-driven selection of causes can multiply an individual's contribution compared to conventional choices, urging professionals to target under-served areas where specific actions yield measurable progress.

Which jobs put you in the best position for the future? (part 3) @ Cambridge University

Career strategist advises early professionals to accumulate transferable skills and financial runway by prioritizing high-performance corporate sectors over nonprofit roles or rigid academic paths. The framework defines flexible career capital through five specific assets: transferable skills, influential networks, credentials, demonstrated character, and a 12-to-24-month financial safety net. By combining intensive upskilling methods like coding bootcamps with foundational mental health practices and targeted graduate study in applied sciences, individuals can secure adaptable trajectories capable of withstanding future industry shifts.

How to get a job (part 6) @ Cambridge University

Treating the job search as a sales process, experts recommend generating 10 to 100 leads with a heavy emphasis on securing referrals, which fill approximately 50% of unadvertised positions. Candidates can convert these leads into offers by demonstrating tangible value through pre-interview projects or trial work, while leveraging multiple offers to negotiate salary increases of around 10% or non-monetary career capital. Ultimately, the strategy involves a cycle of exploring high-impact causes, building flexible skills, and maintaining resilience against rejection through motivational techniques to achieve a fulfilling career.

How to find the right career for you? (part 4) @ Cambridge University

This framework challenges the efficacy of introspection and standard career tests, arguing that predictive validity is highest only when candidates directly simulate actual work through investigation and trial. By adopting a five-step exploration process that treats career choices as iterative hypotheses, individuals like Tony Blair and Jess avoid narrow framing to accumulate "career capital" across distinct phases of exploration, building, and impact. The strategy ultimately prioritizes short-term, diverse experimentation to identify genuine fit before making long-term commitments, ensuring that future decisions remain adaptable to shifting personal preferences and industry realities.