As this tweet has traveled further from its initial audience, the commentary has gotten particularly toxic. i may have to delete. This isn’t about replacing all psych studies or ethnography, etc.! But there are many research questions where agent-based modeling is appropriate.
@emollick
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Seminal Paper on Organizational Behavior in Economics
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That is not right at all. They are common in economics, organization studies, and economic sociology. This is one of the more important papers ever written on organizational behavior: https://
jstor.org/stable/2634336 -
AI Autonomously Generates and Tests Hypotheses
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It generates hypotheses autonomously and tests them autonomously
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Novel One-Sentence Startup Pitch Structure Across AI Models
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Here's an interesting question to use to compare models: "GPT-4, Llama 3, Claude 3, Gemini 1.5, give me a novel structure for a one-sentence startup pitch and teach me how to use it"
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Agent Quality Breakthroughs and Automated AI Testing Loops
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Folks, agent-based models have been a staple of social science for a long time. The idea of using simulated agents is not that big of a deal. The breakthrough is a potential big jump in agent quality and the addition of automated testing loops, including AI hypotheses testing.
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Can AI Achieve Superhuman Intelligence Beyond Training Data?
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I one discussion you see often is whether superhuman intelligence is possible, given that AI is human trained I don’t buy all of these points, but I think this is a well-laid out list of arguments AI may be able to be more “intelligent” than the source material it was trained on
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LLM Technology Plateau: Disruption and Adoption Implications
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I should also add that even if LLM technology plateaus at GPT-4 level (which I still think is unlikely), we are likely to see:
1) Continued improvement as new approaches developed
2) 5-10 years of continued disruption as we learn what GPT-4 level can do and start to adopt widely -
Major AI Labs Differ on Future Improvement Pace Outlook
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Of the major labs, Meta seems to have the most public pessimists about future rapid improvements. OpenAI and Anthropic seem most optimistic team members. Google and Microsoft people seem quite mixed overall. Everyone has incentives to posture, but we will learn a lot more soon.
