# Academics Are Kidding Themselves About AI  ## Metadata - Author: [[Harry Law]] - Full Title: Academics Are Kidding Themselves About AI - Category: #articles - Summary: insert summary - My notes: - Summary: Many academics underestimate the capabilities of AI, often dismissing large language models as ineffective or just "bullshit generators." This critical perspective often stems from a lack of engagement with current research and real-world applications of AI. Academics could greatly contribute to the discourse by embracing the technology's realities and asking important questions about its societal impact. - URL: https://www.learningfromexamples.com/p/what-academics-get-wrong ## LLM Chats ## NotebookLM ## LLM Audio ## Highlights > It might be the language models can only simulate thinking or reasoning. Call me a utilitarian, but what matters to me most is how effective they are in the real world. Whether or not they are simulating thinking has no bearing on whether or not the machines are capable of rearranging the world for better or worse (though if you want to read about what I think is actually happening inside LLMs you can do that [here](https://www.learningfromexamples.com/p/academics-need-to-take-ai-seriously)). ([View Highlight](https://read.readwise.io/read/01jy3dm7anny4vqyhvs94x1wms))