top of page

What I'm Reading: July 1

  • Writer: Ben Leibowitz
    Ben Leibowitz
  • Jul 1, 2021
  • 4 min read

Updated: Jan 1, 2022

Career

  • Advice is Cheap - Context is Priceless

    • On the importance on straightforward and direct advice - how to give it and how to ask for it.

  • The Hazards of a Nice Company Culture

    • When read after the above "Advice is Cheap" article, it makes an interesting point. Though, the author incorrectly frames the culture as "nice" when he really means people-pleasing, dishonest, disingenuous, and lacking follow-through (probably because "nice" makes a catchier article title). You can have a culture where people are "nice" to each other, but still have direct and open communication. Even with the mischaracterization of the problem, the advice is still worth a read.

  • On Workplace Productivity

    • A framework for measuring productivity (of developers, in this paper) that is a bit more wholistic that just lines of code, PRs, etc. Forsgren, a VP at GitHub, proposes SPACE: Satisfaction & well-being, Performance, Activity, Communication, and Efficiency.

  • Focus on Your First 10 Systems, not Your First 10 Hires

    • On the importance of building processes at your startup from the Chief of Staff at Hashicorp - questions like: how are decisions made? How are meetings structured? How do teammates communicate, and what tools do they use? It's a similar philosophy to Jeff Bezos's in another First Round Review article (look for Lesson #5: Intentions Don't Work, Mechanisms Do).

when we ran into an issue or a problem, Bezos would always ask, 'Do we have a mechanism in place so it doesn't happen again? Because if this high-performing or well-intentioned person tripped up, there's probably a process that we need to fix.'

Tech

  • Optical Computing, Re: Deep Learning

    • Specialized applications like deep learning can bump up against the limits of silicon computer architectures, and can have not-insignificant environmental consequences in terms of CO2 emissions. For a few decades, photonic computer architectures, computers that perform computations based on light (photons) rather than electronic (electrons) signals, have been tossed around in research labs and theory. But, it's possible that the constraints placed on silicon computers from deep learning and the limitations of Moore's Law might be a good application for optical computers.

Remote Work

The Economy

More Stuff and Things

Subscribe to get posts delivered straight to your inbox:

Alright, you're all set!

©2022 benleibowitz.rocks

bottom of page