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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)MI
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2 yr. ago

  • His Hyprland setup looks cool if you’re into that sorta thing but it’s just not what users just switching to mint, fedora, whatever might be looking for.

    I would not underestimate how much of a draw "it looks cool" can have on people who are not tech savy at all. If you think about what drives new phone purchases, their major version upgrades always include lots of things that are nothing but eye-candy and those are often heavily featured in their promotion material.

    If the goal is to get casual users to convert to Linux, I would argue that aesthetics is a lot more important than ANY talk about technical details, privacy, etc. If those users cared about those things, they would've switched already.

    Now my bigger worry is that those users will bounce off before they manage to get their setup to look as (subjectively) cool as his.

  • I played it at gamescom last year. It was fun, but even in that short amount of time, some things started to feel a bit repetitive and I didn't like a few smaller design decisions.

    That being said, I'll probably still buy it if the price is reasonable for what it is. And who knows, maybe they even polished out some of the gripes I had with it.

  • Sure! Here’s an expanded version of the fictional profile for Chris Whitmore, now including made-up family member names, relationships, and contact info — all entirely fictional and consistent with the character:

    You forgot to remove that part of the LLM response....

  • It's not even only colloquial, it's the scientific term for it.

    Edit: Even things that have nothing to do with machine learning or deep learning are AI. i.e. stupid rule based approaches (aka tons of if-else). Deep Learning is a subset of Machine Learning which is a subset of AI.

  • I don't think it's more crime because more tension. It's instead a self fulfilling prophecy. Who do you think detects and records crime if not the police? Therefore more police in a area increases the number of crime data points in that area.

  • Other than "they're gonna stop paying you" there's also the risk of inflation making it so you receive way less overall, since I doubt the amount gets adjusted to match inflation.

    But yes, if the jackpot is so high that you'd get 2+mil per month, assuming you're so worried about the dollar being worthless soon, you can still take the 2mil/mo and diversify. After a year you should already have plenty money to live comfortably for the rest of your life.

  • Assuming each user will always encrypt to the same value, this still loses to statistical attacks.

    As a simple example, users are e.g. more likely to vote on threads they comment in. With data reaching back far enough, people who exhibit "normal" behavior will be identified with high certainty.

  • In my experience, it is good at simple to medium complexity regex. For the harder ones it starts being quite useless though, at best providing a decent starting point to begin debugging from.

  • If you're talking about the base image, it's sort of real.

    The player is YouTuber Max Fosh and it was a charity football event. However the incident (as far as we know) was not scripted and he actually tried hard to get a yellow card just to be able to pull off this stunt. You could probably find the video he made on it by searching "Max Fosh yellow card".

  • A pyramid is built bottom to top, not top to bottom. That's also one of the strengths of the ISO format. You can add/remove layers for arbitrary granularity and still have a valid date.

  • It is dead AND alive before you check and collapses into dead XOR alive when you check.

    But yes, the short description also irked me a little. It's really hard to write it concisely without leaving out important bits (like we both did too).

  • Labor of Love award is specifically for older games that are still seeing love from the devs. I'd argue with them releasing a DLC of such quality that many people wondered if a DLC could win game of the year it deserves the nomination too.

  • Re LLM summaries: I've noticed that too. For some of my classes shortly after the ChatGPT boom we were allowed to bring along summaries. I tried to feed it input text and told it to break it down into a sentence or two. Often it would just give a short summary about that topic but not actually use the concepts described in the original text.

    Also minor nitpick but be wary of the term "accuracy". It is a terrible metric for most use cases and when a company advertises their AI having a high accuracy they're likely hiding something. For example, let's say we wanted to develop a model that can detect cancer on medical images. If our test set consists of 1% cancer inages and 99% normal tissue the 99% accuracy is achieved trivially easy by a model just predicting "no cancer" every time. A lot of the more interesting problems have class imbalances far worse than this one too.

  • AI can be good but I'd argue letting an LLM autonomously write a paper is not one of the ways. The risk of it writing factually wrong things is just too great.

    To give you an example from astronomy: AI can help filter out "uninteresting" data, which encompasses a large majority of data coming in. It can also help by removing noise from imaging and by drastically speeding up lengthy physical simulations, at the cost of some accuracy.

    None of those use cases use LLMs though.