Scott Alexander explains discrepancies in animal moral value surveys, highlighting how methodology affects results, and emphasizes the importance of clear research procedures. Longer summary

Scott Alexander updates his previous post about a survey on animal moral value and cortical neuron count. He explains that discrepancies between his results and a replication attempt by Tibbar were due to differences in survey methodology. David Moss from Rethink Priorities conducted a larger survey, revealing that the way participants are allowed to express 'infinite' value for animals significantly affects the results. Scott acknowledges the fragility of these results, as they balance between people valuing all animal lives equally and those giving extremely high values to certain animals. He concludes by emphasizing the importance of clearly explaining research procedures and ensuring links to procedures are correct. Shorter summary

Scott Alexander finds a correlation between animals' cortical neuron count and people's intuitive perception of their moral value, based on a small survey. Longer summary

This post explores the correlation between the number of cortical neurons in animals and humans' intuitive perceptions of their moral value. Scott Alexander conducted a survey asking people to estimate how many of each animal would equal one human in moral value. He then compared these results to the relative number of cortical neurons each animal has compared to humans. The results showed a surprisingly close match, with some exceptions like lobsters. Scott suggests this adds credibility to intuitive ways of thinking about animal moral value, though he acknowledges the need for further research with a larger, more representative sample. Shorter summary

The post examines the relationship between neuron count and intelligence across species, challenging traditional brain size measures and exploring implications for AI development. Longer summary

This post discusses the relationship between brain size, neuron count, and intelligence across different species. It challenges traditional measures like absolute brain size and encephalization quotient, focusing instead on the number of cortical neurons as a key factor in intelligence. The post highlights birds as an example, explaining how their dense neuron packing allows them to achieve primate-level intelligence with much smaller brains. The author then explores the implications of this for understanding intelligence and its potential impact on AI development, suggesting that AI capabilities might scale linearly with computing power. The post ends with a humorous reference to pilot whales, which have more cortical neurons than humans but aren't known for higher intelligence. Shorter summary