Saved by Sam Liebeskind
Using LLMs to support online communities
Foundation models like GPT and Claude now serve as the index funds of language. Trained on enormous corpora of human text, they do not try to innovate. Instead, they track the center of linguistic gravity: fluent, plausible, average-case language. They provide efficient, scalable access to verbal coherence, just as index funds offer broad exposure ... See more
LLMs as Index Funds
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
arxiv.orgby deploying alternative news feed algorithms on in-silico social media platforms, where large language model (LLM) agents that mimic human social media users interact with one another, we can explore and test the impact of these alternative algorithms on macro-level social outcomes, such as conflicts and polarization.[385]
Audrey Tang • ⿻ 數位 Plurality: The Future of Collaborative Technology and Democracy
LLMs accentuate my current strengths. To be too prideful to use them is like refusing to use spell check on grounds of principle
Exploratory and transformational creativity, on the other hand, often require deep familiarity with a conceptual space. Here, LLMs save time by acting as intelligent research assistants. Tools like OpenAI’s deep research can help you get a clearer sense of the landscape you’re working within, as well as a stronger foundation from which to push its ... See more