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Executive summary: Despite 25 years of synthetic biology progress and recurring warnings, the world still lacks adequate international governance to prevent its misuse—primarily because high uncertainty, political disagreement, and a reactive paradigm have hindered proactive regulation; this exploratory blog series argues for anticipatory governance based on principle, not just proof-of-disaster.
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Executive summary: This persuasive and impassioned article argues that preventing the suffering of vastly neglected animals—especially shrimp, insects, and fish—is among the most cost-effective ways to reduce suffering, and recommends supporting high-impact organizations (mostly ACE Movement Grant recipients) working to improve their welfare, with specific donation opportunities that could prevent immense agony for trillions of sentient beings.
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Executive summary: This exploratory post investigates whether advanced AI could one day question and change its own goals—much like humans do—and argues that such capacity may be a natural consequence of intelligence, posing both risks and opportunities for AI alignment, especially as models move toward online training and cumulative deliberation.
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Executive summary: This personal and advocacy-oriented post reframes Mother’s Day as a call for interspecies empathy, urging readers to recognize and honor the maternal instincts, emotional lives, and suffering of non-human animals—especially those exploited in animal agriculture—and to make compassionate dietary choices that respect all forms of motherhood.
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Executive summary: This practical guide outlines a broad, structured framework for identifying and leveraging diverse personal resources—not just money—to achieve impact-oriented goals, emphasizing the importance of understanding constraints, prioritizing resource use based on context, and taking informed risks while avoiding burnout or irreversible setbacks.
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Executive summary: This exploratory argument challenges the perceived inevitability of Artificial General Intelligence (AGI) development, proposing instead that humanity should consider deliberately not building AGI—or at least significantly delaying it—given the catastrophic risks, unresolved safety challenges, and lack of broad societal consensus surrounding its deployment.
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Executive summary: This updated transcript outlines the case for preparing for “brain-like AGI”—AI systems modeled on human brain algorithms—as a plausible and potentially imminent development, arguing that we can and should do technical work now to ensure such systems are safe and beneficial, especially by understanding and designing their reward mechanisms to avoid catastrophic outcomes.
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Executive summary: This personal reflection argues that many prominent Effective Altruists are abandoning EA principles as they rebrand themselves solely as "AI safety" workers, risking the loss of their original moral compass and the broader altruistic vision that initially motivated the movement.
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Executive summary: In this first of a three-part series, Jason Green-Lowe, Executive Director of the Center for AI Policy (CAIP), makes an urgent and detailed appeal for donations to prevent the organization from shutting down within 30 days, arguing that CAIP plays a uniquely valuable role in advocating for strong, targeted federal AI safety legislation through direct Congressional engagement, but has been unexpectedly defunded by major AI safety donors.
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Executive summary: This exploratory post argues that while many AI applications in animal advocacy may be mirrored by industrial animal agriculture, the animal movement can gain a strategic edge by identifying and exploiting unique asymmetries—such as motivational, efficiency, and agility advantages—and reframing the dynamic from adversarial to economically aligned.
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