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

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  • I don’t think it can get the information for this with 100% accuracy unless the process is same for all Bose headphones. How did it go?

    Why not? I told it the model (Bose 700). It searched the web for information for that model, found an article that described how to do it, and provided me with the key points without having to scroll past tons of ads and noisy language. Of course it sometimes gives me the wrong info (usually because the sources are incorrect), but I’ll notice soon enough.

    How did this go? It can hallucinate stuff even when you post static data to it, last time I tried.

    It went perfectly. Again, there are certainly times when it makes errors / hallucinates, but I can fix those manually. In my example of producing flash cards for my son, we obviously had to proofread the cards but that’s much faster than writing all the cards by hand. One out of the 20 flash cards had a nonsensical question/answer so we just removed it.



  • I use it all the time, and not just for myself or for work. Yesterday I fed my son’s study guide into ChatGPT and had it create a CSV file with flash cards for Anki. It’s great at any kind of transformation / summarizing or picking out specific information.

    When school sends me overly verbose messages about everything that’s going on I can feed the message into ChatGPT and have it create an ical file that has events for the important stuff that happens in school in in the coming week.

    I used it to write a greeting card for my dad on his birthday (“I’m giving him X, these are his interests, give me ten suggestions for greeting cards”).

    I have it explain the reasons behind news stories (by searching for previous information and relating it to the news story). I ask tons of questions about anything I wonder about in the world such as chemical processes, the differences between oil frying and air frying, finding scientific papers about specific things, how to factory reset my Bose headphones… the list goes on.








  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    1 month ago

    Kagi has good search results and they are presented well. It also has some useful features like forbidding certain sites and prioritizing others. I like that by paying I’m the customer and not the product. And their “small web” initiative is commendable.

    That said, I’ve been a customer for nine months on an annual subscription, and I will not be renewing. The first reason is that I find them just too expensive for what they do. The second is that, even being that expensive, they’re not breaking even. That undermines my trust in their future as a search engine and makes me less interested in paying a little extra for a good cause.


  • It’s wild that they are not breaking even with these prices. I’ve had an annual subscription since January and made nearly 5000 searches. Extrapolating to a year, I will have been paying about $0.17 per search. If that would go to the electricity bill then it corresponds to about 1 kWh of energy per search, enough to run a 50-watt laptop PC for 20 hours.








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    1 month ago

    Only because bugs are defined as errors in implementation details. You can still have errors in your design (sometimes referred to as design bugs).

    It’s not about “entrusting” to AI any more than I would be entrusting important code to a junior developer to just go off and push to production on his own. We still have code review, pair programming etc. As I said, I read the output code, point out issues with it, and in the end make manual adjustments to fit what I want. It’s just a way of building up the bulk of the code more quickly and then you refine it.


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    1 month ago

    I’ll confess I only skimmed the article, but it seems like just a bunch of unsubstantiated opinions and I don’t buy it.

    Using AI generated code is like pair programming with a junior programmer. You tell the junior what to do and then you correct their mistakes by telling them how to do better. In my experience, explaining things to someone else makes you better at your craft. Typically this cycle includes me changing the code manually at the end, and then possibly feeding it back to ChatGPT for another cycle of changes.

    Apart from letting me realize and test my ideas quicker, this allows me to raise the abstraction level of my thinking. I can spend more time on architecture and on seeing the bigger picture, and less time being blinded by the nitty gritty details. I would say it makes me both a faster and a better programmer.