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Description

Josh Radman joins us today to discuss a little discussed topic on Money Tree Podcast: Decoding RSU, ISO and NQ SOs. He also shares how government programs and how they impact our labor market. He shares an example from local Broogers, which struggled to find staff and often received resumes from unemployable candidates. Josh also touches on how employment data has been revised to show many jobs are part-time or within the government, driven by new regulations. Shifting gears, Josh explores the idea that large AI models, like ChatGPT, might be throttled to prevent them from predicting the future, potentially disrupting markets. He also highlights the critical need for clean, reliable data for AI to function properly, as  current government data is often inaccurate or manipulated. 

Today we discuss... 

For more information, visit the show notes at https://moneytreepodcast.com/decoding-rsu-iso-nqso-josh-radman-648

Today's Panelists:

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