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Rebecca Kaden
Investor @USV
A theme of talent right now is: hire experimenters over experts.
Outside of the buzziest ML talent wars, the fastest, most talented experimenters are now more valuable than the most experienced leaders. This means its not only a wild and exciting time in what's being built but also in who is doing the building.
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AI can now not only copilot the work but often do it directly. This shift has major implications for service industries but one is that traditional pricing models break.
In saas we've seen a move from seat based pricing to usage based billing as software increasingly interacts with other software instead of people.
Now we need new models to replace the concept of billable hours. Maybe it's billable outcomes?
post below exploring...

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I couldn't get ChatGPT to stop infiltrating every answer with the Knicks after I told it to remember that my son was a fan--and it has me thinking about not only the role of memory in AI but also the role of forgetting.
Maybe the best AI memories won’t be flawless databases. Maybe they’ll be artful editors, skilled at remembering imperfectly. Knowing which signals are core, which are passing whims, and which should fade gently into the background.

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Awesome moment for @RadiantNuclear and the progression of new forms of scalable energy

Radiant2.7.2025
Want to see pure joy? Watch the moment @DougBernauer and Tori Shivanandan tell the team that @ENERGY selected Radiant to be the first new nuclear reactor to test next year at INL!
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