Large Language Models (LLMs)

LLMs do not tell you the answer to your question. They tell you “when people ask questions like that, this is what the answers that other people tend to give tend to look like” Over time, that difference may or may not narrow, depending on what kind of question you’re asking.

There is so much more structure in the world than we tend to believe. And LLMs and other AI models are structure discovery machines.

I've learned so much from @hubermanlab, but podcasts make recall and discovery challenging. Huberman AI uses the latest models from @openai to search every episode with Google-level accuracy and summarize the results. https://huberman.rile.yt

@RamaswmySridhar: 1/ AI exploded on the scene at the end of 2022, with applications like @OpenAI's ChatGPT taking the world by storm. 2023 is poised to be the most exciting year of AI yet! 🎉 Here's mine and @vivek7ue's look at the lay of the land + what might happen next... 👀🧵 ![](https://pbs.twimg.com/media/FmN9rp7aAAUXjqA.jpg... See more

Meanwhile, LLM results are probabilistic. 10 blue links are also probabilistic, but Google is giving you options - adding human curation by making you pick from a list of results. Using an LLM result is more like hitting ‘I’m feeling lucky’ - it requires more confidence

How GPT-3 will turn all of your notes into an *actual* second brain: