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Executive summary: In this personal reflection, the author shares how they transitioned from software engineering to an impactful AI policy operations role within just three months, arguing that entry into the field is more accessible than commonly believed—especially for proactive individuals willing to leverage community connections, volunteer experience, and financial flexibility.
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Executive summary: This exploratory post argues that while standard expected utility theory recommends fully concentrating charitable donations on the highest-expected-impact opportunity, a pragmatic Bayesian approach—averaging across uncertain models of the world—can justify some degree of diversification, particularly when model uncertainty or moral uncertainty is significant.
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Executive summary: This evidence-based analysis from the 2024 EA Survey explores which factors most help people have a positive impact and form valuable personal connections in the EA community, finding that personal contact, 80,000 Hours resources, and EA events are consistently influential—though engagement level, gender, and racial/ethnic identity shape which sources matter most.
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Executive summary: This exploratory post presents a speculative but grounded dystopian scenario in which mediocre, misused AI—rather than superintelligent systems—gradually degrades society through hype-driven deployment, expert displacement, and systemic enshittification, ultimately leading to collapse; while the author does not believe this outcome is likely, they argue it is more plausible than many conventional AI doom scenarios and worth taking seriously.
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Executive summary: This exploratory proposal advocates for a pilot programme using metagenomic sequencing of wastewater at Auckland Airport to detect novel pathogens entering New Zealand, arguing that early detection could avert the enormous health and economic costs of future pandemics at a relatively low annual investment of NZD 3.6 million.
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Executive summary: This exploratory cost-effectiveness analysis of Anima International’s animal advocacy programs in Poland finds that several interventions—particularly the “Stop the Farms” campaign and cage-free reforms—appear highly cost-effective in reducing farmed animal suffering, though the results are highly uncertain due to reliance on subjective estimates, especially around years of impact, pain intensity, and counterfactual scenarios.
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Executive summary: AI 2027: What Superintelligence Looks Like is a speculative but detailed narrative forecast—produced by Daniel Kokotajlo, Scott Alexander, and others—describing a plausible scenario for how AI progress might accelerate from near-future agentic systems to misaligned superintelligence by the end of 2027, highlighting accelerating capabilities, shifting geopolitical dynamics, and increasingly tenuous alignment efforts.
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Executive summary: This reflective personal post explores how a UK Royal Navy career can provide valuable operational and leadership experience relevant to impact-focused Effective Altruist (EA) careers, while also cautioning against overly optimistic theories of military-based impact and advocating for transitioning out once initial career capital has been built.
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Executive summary: In an effort to sharpen its strategic focus and maximize impact, Giving What We Can (GWWC) is discontinuing 10 initiatives that, while often valuable, diverge from its core mission of expanding its global Pledge base—this decision reflects a shift toward greater prioritization and a call for other actors to carry forward impactful work where possible.
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Executive summary: This exploratory analysis reviews causal evidence on the relationship between immigration and crime in several European countries, finding little to no effect in the UK and Italy, mixed results in Germany, and limited data for France and Belgium, while suggesting that secure legal status and access to employment significantly reduce immigrant crime rates.
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