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Executive summary: Ruth Harrison and Henry Spira pioneered effective advocacy strategies in the 20th century that helped shape the modern animal welfare movement, especially for farmed animals.
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Executive summary: The Mission Motor's pilot intervention to train and support animal and vegan advocacy organizations in Monitoring, Evaluation, and Learning (MEL) has revealed key lessons about the state of MEL in the animal movement, operational insights, and opportunities to advance evidence-based work in the animal cause area.
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Executive summary: The EA meta funding landscape saw rapid growth and contraction from 2021-2023, with Open Philanthropy being the largest funder and longtermism receiving the most funding, while the landscape faces high uncertainty in the short-to-medium term.
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Executive summary: The definition of veganism is ambiguous and arbitrary, and a more nuanced view is needed that recognizes the continuum of harm reduction and the varying levels of effort required by individuals in different circumstances.
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Executive summary: Cybersecurity of frontier AI models is a key concern for AI labs and regulators, with a focus on protecting user data, model weights, codebases, and training data from leaks that could enable misuse or accelerate competition.
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Executive summary: The global food trade system is increasingly complex yet concentrated, making it vulnerable to cascading disruptions from export bans, chokepoint blockages, and reliance on a few key exporters, which could lead to societal collapse as seen in the Late Bronze Age.
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Executive summary: Sustainable fishing policies and demand reductions for wild-caught aquatic animals may counterintuitively increase fishing catch in the near term, but persistent demand reductions could potentially decrease catch over longer timelines.
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Executive summary: Government regulation of AI is likely to exacerbate the risks of AI misuse and misalignment while limiting the potential benefits, due to governments' incentives for myopia, military competition, and protecting special interests.
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Executive summary: Motivation gaps between advocates and skeptics of a cause can lead to an imbalance in the quality and quantity of arguments on each side, making it difficult to accurately judge the merits of the cause based on the arguments alone.
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Executive summary: The scaling of AI training runs is expected to slow down significantly after GPT-5 due to the unsustainable power consumption required to continue scaling at the current rate, which would necessitate the equivalent of multiple nuclear power plants.
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