Scott Alexander methodically rebuts Steven Pinker's arguments against AI risk concerns and documents fifteen years of what he considers misrepresentations and bad-faith arguments from Pinker about the AI safety community.

Scott analyzes OpenAI's 'neuralese recurrence' technology that lets AI think in internal representations between processing steps, explaining the safety implications and arguing for clear taboos on recurrent architectures.

Scott discusses three recent papers showing surprising patterns in how AI misbehavior does and doesn't generalize across different contexts, from emergent misalignment spreading across domains to reward-hacking staying confined to graded tasks.

Scott's monthly links roundup covering AI progress, the coming flood of philanthropic funding to effective altruism from AI companies, new research on persuasion and forecasting, and various scientific and cultural topics ranging from dementia prevention to Romanian politicians' embarrassing quotes.

Scott shares his monthly collection of interesting links from around the internet, covering topics from Jeremy Bentham's linguistic legacy to AI developments, with characteristic commentary and fact-checking caveats.

Scott debunks the "all exponentials become sigmoids" argument against AI risk by showing how forecasters consistently predict premature flattening of exponential trends, and argues that without deep understanding of AI dynamics, we should expect current AI progress to continue for roughly as long as it's already been going.

Scott Alexander's April 2026 links roundup covers diverse topics including Venn diagram complexity, flag desecration laws, AI developments, political analysis, scientific studies, and various cultural curiosities.

Scott explains why Ajeya Cotra's influential 'Biological Anchors' report correctly predicted the AI scaling boom but got AGI timelines wrong by twenty years, due to severely underestimating the rate of algorithmic progress.

A monthly collection of diverse links covering AI developments and regulation, COVID origins debates, healthcare policy, cultural phenomena, scientific research, and internet curiosities, maintaining Scott's characteristic blend of serious analysis and entertaining observations.

Scott's monthly roundup of interesting links covering AI policy developments, technology news, cultural observations, and scientific research from December 2025.

Scott reviews a paper by leading researchers attempting to determine AI consciousness through computational theories, critiques their conflation of access and phenomenal consciousness, and predicts society will inconsistently ascribe consciousness to AIs based on their social roles rather than their underlying architecture.

Scott announces the results of the 2025 ACX Grants round, awarding $1.5 million to 42 projects out of 654 applications, covering areas from genetic engineering and disease prevention to AI safety and educational reform.

A review of the synaptic plasticity and memory hypothesis arguing that it is insufficient to explain memory, and proposing a broader cellular processes and memory hypothesis that includes molecular and intracellular mechanisms.

Scott Alexander presents his monthly collection of interesting links and developments across technology, science, culture, and policy, with personal commentary on each item.

A parent details their year-long experience with Alpha School in Austin, examining how this innovative program achieves accelerated learning through a combination of technology, personalized instruction, and incentive systems.

Scott reviews updates from two cohorts of ACX Grants recipients (from 2021 and 2024), analyzing their progress and sharing lessons learned about what makes grants successful.

Scott investigates the correlation between intelligence and neuron count, exploring various theories before suggesting that more neurons allow for less polysemantic (overlapping) representations of concepts.

Scott shares 50 diverse links covering topics from AI developments to policy changes, with commentary on current events, research findings, and societal trends.

Scott responds to comments and criticisms of his post about Tegmark's Mathematical Universe Hypothesis and its implications for arguments about God's existence, addressing technical points about Boltzmann brains, simplicity measures, and philosophical objections.

Scott analyzes research on whether longer prison sentences reduce crime, examining studies on deterrence, incapacitation, and aftereffects, to conclude that while prison does decrease crime through incapacitation, it's less cost-effective than other methods like policing.

A diverse collection of news items, studies, and interesting facts from November 2024, covering topics from scientific discoveries to cultural phenomena.

Scott Alexander examines how AI achievements, once considered markers of true intelligence or danger, are often dismissed as unimpressive, potentially leading to concerning AI behaviors being normalized.

Scott Alexander reviews recent developments in prediction markets and forecasting, including regulatory changes, platform pivots, and debates about the field's future.

Scott Alexander analyzes California's AI regulation bill SB1047, finding it reasonably well-designed despite misrepresentations, and ultimately supporting it as a compromise between safety and innovation.

Scott Alexander responds to comments on his COVID-19 origins debate post, addressing criticisms and maintaining his support for the zoonosis theory.