Looks like somebody hasn’t been doing their pondering exercises
Looks like somebody hasn’t been doing their pondering exercises
None of us are in your shoes so it’s really tough to say what your coworkers’ motivations are, but at the end of the day you are yourself, you are in charge of your mental and physical well-being. When someone else does something minor and it affects you strongly it’s time to stop thinking about them and start thinking about what’s happening in your own body.
Unfortunately your emotions, like being offended, aren’t entirely in your control. There are a lot of brain connections rustling around up in your noggin that don’t pass through the filter of your consciousness.
The best advice I can offer is to redirect yourself when you start to get offended. Pick a favorite topic, something that you like to think about often, and “switch” to it when you feel yourself getting triggered.
As for how you should act when you aren’t greeted directly? I see no reason for you to change your behavior, just act as though nothing happened, because nothing did happen
This old tony is the GOAT
Wow what a neat project, I have spent a lot of time recently working around vulkan on m1 machines with compatibility layers and while it’s not a huge pain it does suck to miss out on some of the more powerful features of vulkan that the hardware is certainly capable of. I’m not keen on learning metal to bridge the gap and this is just what the doctor ordered.
This will be a huge boon for me, way to go!
We don’t deserve our open source heroes, so grateful for the incredible free software ecosystem
Gimp, 7zip, blender, vlc, open office, the kernel, thousands of others, I feel like our lives have been universally improved by these inverted charity projects. The few taking care of the undeserving many.
I’m a 10 year pro, and I’ve changed my workflows completely to include both chatgpt and copilot. I have found that for the mundane, simple, common patterns copilot’s accuracy is close to 9/10 correct, especially in my well maintained repos.
It seems like the accuracy of simple answers is directly proportional to the precision of my function and variable names.
I haven’t typed a full for loop in a year thanks to copilot, I treat it like an intent autocomplete.
Chatgpt on the other hand is remarkably useful for super well laid out questions, again with extreme precision in the terms you lay out. It has helped me in greenfield development with unique and insightful methodologies to accomplish tasks that would normally require extensive documentation searching.
Anyone who claims llms are a nothingburger is frankly wrong, with the right guidance my output has increased dramatically and my error rate has dropped slightly. I used to be able to put out about 1000 quality lines of change in a day (a poor metric, but a useful one) and my output has expanded to at least double that using the tools we have today.
Are LLMs miraculous? No, but they are incredibly powerful tools in the right hands.
Don’t throw out the baby with the bathwater.
Ngl kaspersky is the close to the last group I care to hear from about security
Harris has me profoundly optimistic. She’s the most qualified candidate I’ll have had the chance to vote for in my lifetime.
Walz is fine, I was keen on Buttigieg but I’ll happily vote for Walz and let Buttigieg keep his important current position.
My biggest hope is that Kamala will draw out some of the less extreme right leaning women, nobody needs to know that they’re voting for the better candidate and God knows women need allies with the ongoing barrage.
This election cycle is not about fear for me, Harris is an easy candidate to vote for!