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Joined 1 year ago
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Cake day: July 10th, 2023

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  • I think Harris is trying to capture a group of Americans that hardlines on immigration, unfortunately some of what she’ll concede on during this election cycle will likely alienate progressives in favor of tempting the opposition. It’s strategically valuable because progressives will still vote for her, but maybe a few conservative voters will be swayed.

    Imo it’s more important to pay attention to how she’s voted, how she acts, and whether she will change her mind when presented with important information. In that way she’s by far our most trustworthy candidate even on issues like this one.




  • 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.