2022#21 Readings 🇺🇦🌻
3 minutes read | 503 words by Ruben BerenguelPlaying with stable diffusion on your own machine is great.
Hammer & tickle
An essay on Communist era jokes.
Extreme questions to trigger new, better ideas
These questions have real potential. I have added them as good food for thought. They are at the company level, though some could apply at department or team level.
On being a staff engineer
This is a very good overview of what means being a staff engineer.
Finnish as a world language?
It is in jest, of course.
Amazon Redshift serverless
Interesting development. Going for Snowflake?
Meet Amplitude CDP, the First Insights-Driven Customer Data Platform
🤔
🐦 George Xing: “I’m convinced data teams have the greatest unrealized potential of any function (potential / realized impact)
Is it me, or is this putting all the burden on data leaders?
How HashiCorp Works
How HashiCorp uses RFC (Requests for Comments) documents. How they are structured, length, consistency.
An Old Hacker’s Tips On Staying Employed
Good rules. They make sense. They are not cool though.
A Conversation with Mathematical Consultant John D. Cook
I’ve been following the writings from John on and off for more than 10 years. Interesting to see how he sees his work.
Why Don’t Millennials Have Hobbies?
Just like we dedicate our time and energy toward a career, committing ourselves to a “serious leisure” activity is one of the keys to achieving a fulfilling life, he says.
Debugging Your Teams
It mentions the 5 learning gaps, which I think I have seen in some learning/expertise book but I had forgotten about. And they are a neat concept.
Not your Grandmother’s Textbook Exercise
Brilliant. Tempted to go for D!
The Viable Systems Model, and where my team fits
This is an interesting view on how a company is structured (and where DevRel sits).
Run Stable Diffusion on Your M1 Mac’s GPU | Hacker News
Between comments in the thread and links available, you can certainly get it running. It is not superfast (5 seconds/iteration more or less) but gets the work done. If you want upscaling you’ll need to edit ldm/gfpgan/gfpgan_tools.py
and remove some conditions there.
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