Hi! I work on dynamic shapes in pytorch and would love to hear more about the challenges you’ve run into. We’re always looking to improve the experience, so if you’re open to chatting, feel free to DM me on Twitter (@bobrenjc93) or email me at bobren@meta.com.
since you work on pytorch, what would you say is the best place to ask questions about general usage, trouble shooting? I’ve been struggling with a, what I would consider, a simple torchrun elastic training example, and haven’t found any good resources online. I’ve been spelunking through pytorch but have a feeling a little back and forth with someone familiar with these features would immensely clear things up.
PyTorch Dev Discuss is a fantastic forum where many core devs actively participate and answer questions: https://dev-discuss.pytorch.org
In addition to Dev Discuss, a number of core contributors are also active on Twitter. Two particularly helpful and prolific voices are @ezyang and @cHHillee.
Finally, don’t overlook GitHub issues—they’re a surprisingly effective way to start conversations. If you’ve found a bug or have ideas on how to improve the APIs, opening an issue is always welcome.
I'm so glad you wrote this book. The benefits seems small - 3 seconds here, 6 seconds there, etc. but compounded over decades, it makes a huge difference.
You're welcome! I hope you'll like it! If you have any question, feedback, or problem, don't hesitate to reach out. My address email is on the page where I sell the book. Always happy to help!
I've been doing "Morning Pages" for the past few months. I don't think I've ever had more clear thoughts. It's based out of a book called "The Artist's Way". You can read more about it here https://juliacameronlive.com/basic-tools/morning-pages/
Does anyone have any insight on why someone would invest in MicroStrategy instead of just buying the bitcoin themselves? Is the volume discount delta > fees that the fund charges?
I work at one of the FAANGs and was promoted twice within two years. I've been plateauing since, and can definitely relate.
Regarding strategy to get out of the plateau, I think you really have to play to your strengths. Most high leveled people I've found to be lacking in certain areas, but almost all of them are exceptional in at least one area.
Try to think through what strengths you have and see if you can double down on them:
Are you really good at writing a lot of code and shipping things? Perhaps your archetype is a coding machine, and you should find ways to write even more code (without comprimising quality).
Are you really good at collaborating with all sorts of different personality types? Perhaps your archetype is a cross functional engineering leader that can lead complex cross team initiatives.
Find what you're good at. Double down on that and promotions will happen naturally.
Have you checked out GPT-3? Given all the mind blowing applications from code summarization, code generation, tabular data inference, etc, etc (https://twitter.com/search?q=gpt-3&src=typed_query), I think it's very possible for an AI to be a top karma HNer.
I try to find handicaps to help nudge me in the right direction. I used to have a bad habit of working for hours without a break, causing pretty severe eye pain. A few months ago, I installed an app called "time out" on mac that forces me to take a break after 20 minutes of working. It was hard at the beginning, but now I've pretty much completely eliminated the bad habit.
