Google’s Gemini LLM is the power behind their NotebookLM, and the smarts that generates their audio podcasts based on the source documents you supply. I asked it to do a deeper dive into my book, Understanding Machine Understanding, and it produced this podcast. I was very interested to hear what parts it picked out as significant, and especially its reaction to some novel parts of our proposed testing for LLMs.
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