Sunday Curations – Top 1% PM’s, AI Learning Resources & more

Our favourite podcasts, Tweets & AI resources of the week

Nov 20, 2022

We continue a bit further down the AI rabbit hole with a collection of ML Learning resources (for beginners & advanced). But this sunday we also have: Human Psychology (choosing not to know) and advise on how to become an elite Product Manager. Enjoy!

Becoming a Top 1% PM

A very interesting conversation on Product Development, going deep into PM Skills. If you have a Fount Playlist for saving podcasts, add this one to your listen later list.

Lenny's Newsletter

What it takes to become a top 1% PM | Ian McAllister (Uber, Amazon, Airbnb)

Listen now (65 min) | Ian McAllister is the Senior Director of Product for Vehicles at Uber. Before moving to Uber, Ian spent over a decade directing teams at Amazon, where he created and led Amazon Smile. He was also Director of Product Management at Airbnb. In today’s episode, we discuss Ian’s legendary post about what separates a 1% product manager from everyone else. In our conversation, Ian outlines the most essential PM skills for new PMs, and how to broaden your experience and diversify skills as you move up the ladder. He also shares what he learned working with Jeff Wilke, Jeff Bezos, and other leaders at Amazon, and goes in depth on Amazon’s working-backwards framework…

Listen now

4 months ago · 36 likes · 2 comments · Lenny Rachitsky and Ian McAllister

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AI Learning Resources – in one Thread

With the hype around generative AI models, many are going down the ML rabbit hole (author included). Here is a good collection of ressoucres to get started 👇

Ben Tossell @bentossell

All the educational resources to learn Machine Learning in one spot:

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A few that we liked especially:

Standford’s open courseware is great:

AssemblyAI @AssemblyAI

5 Stanford ML & DL Courses you can start watching right now🧵

Especially the deep dive into the technology that enables GPT-3:

And a few book recommendations (more advanced):

Santiago @svpino

Some of my machine learning books.

Human Psychology

Choosing not to know – a paper by Ralph Hertwig and Christopf Engel:

Although humans are often portrayed as informavores, the circumstances under which they refrain from acquiring or consulting information are many and varied. Take, for instance, individuals at risk of Huntington’s disease. Nearly everyone with the defective gene who lives long enough will go on to develop this devastating condition. Yet only 3% to 25% of those at high risk opt to take the near-perfect test available to identify carriers of the gene (e.g., Creighton et al., 2003; Yaniv, Benador, & Sagi, 2004). Similarly, up to 55% of people who decide to be tested for HIV subsequently do not return to learn their result (Hightow et al., 2003).

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And last but not least, one our favourite quotes:

Tim Ferriss @tferriss

“The secret to doing good research is always to be a little underemployed. You waste years by not being able to waste hours.” — Amos Tversky

Happy curating! And let us know what you discovered in the Discord.

– the Fount Team