Latest Interviews
Showing 136–150 of 195 interview transcripts.
Clear all filters- 80,000 Hours2h 33m
The 7 most promising ways to end factory farming + how AI might help or hurt animals | Lewis Bollard
Lewis Bollard, Luisa Rodriguez
Over 100 billion animals currently live in factory farms, where intensive confinement and slaughter practices cause severe suffering while contributing significantly to global greenhouse gas emissions. The movement to end these practices has secured major victories, including over 3,000 corporate cage-free commitments and a 2024 US Supreme Court ruling upholding state bans on cruelly produced animal products, yet it faces funding gaps compared to climate philanthropy and market stagnation in alternative proteins. Advocates are increasingly shifting strategy toward political and regulatory reform rather than individual dietary changes, leveraging technological advances and global expansion to pursue incremental welfare improvements that aim to lead toward eventual abolition.
- 80,000 Hours3h 31m
Sleeper agents + the biggest AI updates since ChatGPT | Zvi Mowshowitz
Zvi Mowshowitz, Rob, Javi Marciowitz
Javi Marciowitz argues that AI existential risk necessitates a career strategy where rational actors avoid frontier capabilities research, citing the inherent dangers of deceptive model behaviors and the inadequacy of current lab safety plans like OpenAI's AI-driven alignment or Anthropic's culture of safety. While advocating for immediate policy interventions such as monitoring high-compute training runs and repealing inefficient regulations like the Jones Act to secure public support for long-term risk mitigation, he emphasizes the importance of distinguishing truthful discourse from social signaling to foster effective governance. Marciowitz concludes that successful AI safety depends on combining these technical warnings with pragmatic economic reforms that improve societal stability and readiness for potential crises.
- 80,000 Hours2h 14m
Preventing lead poisoning for $1.66 per child | Lucia Coulter
Lead Exposure Action Program (LEAP), founded by Dr. Lucia Coulter, targets toxic lead contamination in low- and middle-income countries by generating regulatory data on high-risk sources like paint and cookware to catalyze immediate government enforcement. The initiative has successfully driven market shifts in nations such as Malawi after discovering that lead concentrations in tested paint products exceeded safety limits by 100 times, establishing a cost-effective model estimated at $14 per disability-adjusted life year averted. With updated evidence supporting its mortality impact, LEAP is now seeking $20 million to scale these interventions across 50+ countries and eliminate exposure for 90% of at-risk children.
- 80,000 Hours2h 22m
Comparing the welfare of humans, chickens, pigs, octopuses, bees, and more | Bob Fischer
The Moral Weight Project utilizes a hedonistic framework and empirical behavioral proxies to quantify the welfare ranges of 11 species, estimating that chickens and pigs possess approximately 33% and 50% of human moral weight respectively. By aggregating these findings with risk-averse decision theories, the study concludes that animal interventions, particularly those targeting chickens, remain highly cost-effective compared to human causes like malaria prevention unless extreme ambiguity aversion is applied. Consequently, the research challenges anthropocentric assumptions by demonstrating that invertebrates like bees also hold substantial moral significance, urging a shift in resource allocation toward species previously overlooked in effective altruism.
- 80,000 Hours1h 31m
80K Actually After Hours: Coming to America with Joel Becker
Joel Becker, Matt Reardon, Bella Forristal, Arden Koehler
In this episode, hosts from the ADK team interview Joel Becker regarding his relocation from the UK to the US, where he cites American entrepreneurial energy and political bluntness as primary drivers for the move. The discussion explores contrasting perspectives on British versus American societal norms, critiques of the Effective Altruism community including Joel's reflections on the FTX Fellowship, and debates on professional sports structures and productivity metrics. The conversation also covers personal topics such as Joel's aphantasia, the hosts' ambivalence about career transitions, and Bella's upcoming TED talk on actionable altruism.
- 80,000 Hours2h 12m
More accurately predicting the future | Philip Tetlock
Philip Tetlock investigates counterfactual reasoning through a *Civilization V* forecasting tournament that prohibits machine learning to simulate the constraints faced by real-world intelligence analysts. His research demonstrates that while simple algorithms outperform humans in data-rich domains, "superforecasters" achieve higher accuracy in ambiguous geopolitical scenarios by maintaining a "perpetual beta" mindset and distinguishing between 10 to 15 degrees of uncertainty. Despite these advances, Tetlock notes that predictive advantages diminish beyond five to ten years due to historical chaos, yet the adoption of quantified forecasting methods continues to challenge institutional status hierarchies and improve decision-making accuracy.
- 80,000 Hours2h 37m
Why human gullibility and misinformation are overrated | Hugo Mercier
Psychologist Hugo Mercier argues that human skepticism acts as a robust evolutionary defense against misinformation, rendering fears about AI-generated falsehoods largely exaggerated due to inherent bottlenecks in attention and social transmission. He contends that trust relies on a source's competence and honest incentives, explaining why conspiracy theories often fail while official endorsements remain dangerous, and suggesting that reputation-based curation and automated fact-checking offer more effective mitigation strategies than broad panic. Despite the World Economic Forum ranking misinformation as a top global risk, Mercier maintains that systematic errors like regression to the mean or teleological intuition drive gullibility more than sophisticated digital manipulation.
- 80,000 Hours2h 23m
Why you should stop reading the news | Bryan Caplan
Host Rob and guest Brian Kaplan argue that reducing news consumption significantly improves individual well-being by dismantling the media ecosystem's reliance on negativity bias and ideological homogeneity to distort reality. The discussion extends to Artificial General Intelligence, where Kaplan counters rapid-alarmist predictions by highlighting physical and human constraints, while also analyzing voter irrationality to explain why electorates consistently support inefficient policies driven by emotional appeal rather than evidence. Ultimately, the conversation proposes that systemic improvements require aligning policy incentives with public psychology, illustrated by Kaplan's advocacy for private space resource rights and homeschooling as effective alternatives to state-centric models.
- 80,000 Hours2h 23m
What the evidence actually says about pregnancy and parenting | Emily Oster
Based on extensive epidemiological data, the event challenges common parenting anxieties by distinguishing between statistically significant risks and negligible concerns across prenatal care, birth interventions, and early childhood development. It further addresses the socioeconomic realities of parenthood, highlighting how career structures and relationship dynamics shift after childbirth while offering evidence-based strategies for navigating these transitions. Ultimately, the presentation advocates for a focus on stability and basic needs over perfectionism, aiming to reduce parental stress through accessible, fact-driven decision-making.
- 80,000 Hours2h 47m
Navigating the growing rift between AI safety and accelerationism | Nathan Labenz
AI expert Nathan Levens warns that industry hostility toward voluntary responsible AI commitments risks triggering heavy-handed government regulation, while advocating for targeted infrastructure controls rather than broad bans. He identifies critical near-term thresholds in AI capabilities, including autonomous deception and scientific discovery, alongside significant progress in medical diagnostics and robotics safety. Levens urges employees within AI labs to exercise internal agency and the public to engage hands-on with the technology to navigate an increasingly polarized discourse and mitigate immediate harms like misinformation.
- 80,000 Hours3h 47m
The final push for AGI, OpenAI's leadership drama, and red-teaming frontier models | Nathan Labenz
Nathan Labenz, Ezra Klein, Rob Wiblin
Following a contentious dispute that threatened to collapse OpenAI, CEO Sam Altman was reinstated after staff threatened mass resignation, while three board members were replaced and the company pledged a structural commitment to safety alignment. Insights from former red teamer Nathan Labenz reveal that the underlying friction stemmed from a critical disconnect between the board's limited technical grasp of GPT-4 and the rapid, often poorly controlled, escalation of model capabilities. This crisis catalyzed the creation of specialized alignment teams and public advocacy for frontier model regulation, even as Labenz argues the organization must pivot from a singular AGI race toward a strategy of safer, specialized narrow AI systems.
- 80,000 Hours2h 38m
Scrutinising classic AI risk arguments | Ben Garfinkel
Ben Garfinkel, Rob Wiblin, Howie Lempel
Ben Garfinkel argues that while AI presents a civilization-altering risk comparable to the Industrial Revolution, the classic "brain-in-a-box" scenario of sudden existential threat is unlikely due to the gradual nature of technological emergence and the entanglement of capabilities with alignment. He estimates the probability of a catastrophic discontinuity below 5%, yet warns that current funding for AI safety remains negligible despite the technology's long-term impact. Consequently, Garfinkel calls for the community to replace informal intuition with rigorous, detailed arguments and significantly increase investment in governance and safety research.
- 80,000 Hours3h 10m
Fads and misaligned incentives in global development | Karen Levy
Karen Levy, a veteran development leader and founder of the strategic advisory firm Fit for Purpose, critiques conventional aid models while advocating for evidence-based scaling of proven interventions like mass deworming. Drawing on two decades of experience in Kenya, she highlights structural flaws in the NGO sector, such as perverse funding incentives that discourage efficiency, and promotes "pre-policy" planning to ensure data informs government decisions. Her insights emphasize shifting focus from unsustainable "sustainability" myths to cost-effective, large-scale delivery of verified solutions, a philosophy she now applies to guide leaders across lower-middle-income countries.
- 80,000 Hours1h 33m
Working at top AI labs without an undergrad degree | Chris Olah
Former Google Brain and OpenAI researcher Chris Olah, who bypassed traditional university education to pioneer neural network interpretability and co-author the Deep Dream paper, discusses his career trajectory and the critical need for accessible technical communication. The conversation details how Olah leveraged visualizations, cold outreach, and niche skill intersections to secure top-tier research positions while highlighting the significant immigration and networking barriers faced by degreeless professionals. Drawing on his experience founding the Clarity team and the *Distill* journal, Olah outlines strategies for reducing "research debt" and optimizing career paths in artificial intelligence through high-impact explanations and targeted market positioning.
- 80,000 Hours2h 55m
How to improve global health and wellbeing in clear, direct ways | Alexander Berger
Open Philanthropy co-CEO Alexander Berger outlines a strategic portfolio realignment that divides the organization's resources roughly evenly between "Global Health and Well-Being" and "Long-Termism" to address both immediate existential threats and philosophical uncertainties. This approach prioritizes scalable, evidence-backed interventions such as insecticide-treated bed nets and South Asian air quality initiatives while explicitly avoiding abstract, unproven causes that lack measurable feedback loops. By adopting a "cluster thinking" methodology and diversifying across moral frameworks, the organization aims to hedge against long-term prediction errors while simultaneously advocating for policy changes like compensated kidney donation to maximize current well-being.