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Summary

Yashin, founder and CEO of Subconscious AI, discusses how their platform leverages generative AI for causal experiments and market research. The platform builds a digital twin of a specific domain and simulates decisions using language models, providing quick and cost-effective tools for economics, sociology, psychology, and market studies. Yashin explains that the traditional methods of conducting studies are time-consuming and expensive, requiring multiple steps and software. In contrast, Subconscious AI can perform the same research with near-human fidelity within minutes. Yashin started the company to address the lack of markets in non-market domains, such as climate change, and aims to give people fighting climate change the same tools as those selling consumer goods. The conversation also explores the value of non-market goods, the democratization of social science research, and the potential impact of AI and language models on understanding human behavior and society. Subconscious.ai aims to use language models to understand and address mental health problems and inform policy decisions. They hope to build a policy simulator that allows citizens to propose and design their own policies, and assist governments in decision-making. The company emphasizes the importance of ethical considerations, such as validating experiments with actual humans and obtaining consent from language models. They also strive to avoid violating OpenAI's terms of service. The team at Subconscious.ai includes experts in causality and statistics, as well as influential mentors like Howard Moskowitz. The company's goals for the next year include developing well-defined simulations for healthcare policy and consumer goods. Avi Yashchin, the founder, emphasizes the importance of perseverance and building long-term relationships. He also advises his 18-year-old self to underindex on head and overindex on heart. To learn more about Subconscious.ai, people can join their Discord community and engage with their products and experiments.

Keywords

Subconscious AI, generative AI, causal experiments, market research, digital twin, language models, economics, sociology, psychology, market studies, traditional methods, time-consuming, expensive, near-human fidelity, non-market domains, climate change, markets, non-market goods, democratization, AI, understanding human behavior, society, Subconscious.ai, language models, mental health, policy simulator, ethical considerations, validation, consent, OpenAI, team, mentors, simulations, goals, perseverance, long-term relationships