Language Models and Online Detectives

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This chapter explores the potential of language models to solve puzzles and mysteries, citing examples of online detectives using language models to solve cases. It also discusses the sense of adventure in exploring a large archive of information, drawing parallels to the early days of the internet.

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Today’s show:

Steven Berlin Johnson joins Jason to demo Google’s NotebookLM, a new AI-powered research assistant he helped create at Google Labs. They dive into Steven’s journey to Google Labs (1:28), NotebookLM's unique features (14:09), the rights of authors in the digital age (40:22), and more!

Timestamps:

(0:00) Author Steven Berlin Johnson joins Jason

(1:28) Early experiences with the internet and Google’s Project Starline

(8:01) DevSquad - Get an entire product team for the cost of one US developer plus 10% off at http://devsquad.com/twist

(9:00) The significance of document organization, the concept and features of "sources" in NotebookLM, and the impact on writing (14:09) Steven demos Google NotebookLM

(28:06) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/thisweekinstartups

(29:36) Steven’s NotebookLM demo continued

(33:47) Jason showcases how he utilizes NotebookLM for TWiST's Business Breakdowns segment

(38:56) Fitbod - Get 25% off at https://fitbod.me/twist

(40:22) The rights of authors in the digital age

(52:01) Superintelligence and the trajectory of language models

Links: https://stevenberlinjohnson.com/writing-at-the-speed-of-thought-21dfb7f689e4 https://stevenberlinjohnson.com/good-ideas-the-four-minute-version-7e7856e69621 https://www.wired.com/story/googles-notebooklm-ai-ultimate-writing-assistant/

Follow Steven: https://twitter.com/stevenbjohnson Check out Steven’s website: https://stevenberlinjohnson.com/ Check out Steven’s podcast: https://podcasts.apple.com/us/podcast/american-innovations/id1370092284

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