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Joined 11 months ago
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Cake day: December 22nd, 2023

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  • I tried to replace Twitter by Mastodon but, in the end, I just left Twitter and don’t use Mastodon at all. The main reason I think is because the « onboarding » is painful. I never succeeded to find interesting people to follow. I faced many ghost accounts from people posting once a month or stopped a few years ago.

    If you don’t find people by yourself, no one is going to see your posts and so, you won’t be able to find new people to follow by posting.

    I don’t like what Twitter became, but the base principle of the algorithm (before it became X with the paid subscriptions) was working great for me. I was constantly adding new people to the mix, and removing inactive ones every month.

    If I struggled this much with Mastodon, I am not surprised many people create an account and leave a few days / weeks later.


  • I do not disagree about the fact that people are free to say what they want. It’s just that, as a user appreciating Nintendo, I am facing very negative comments on most (if not all) subjects even when Nintendo is not doing anything (like my example above about a romhack). For some people, it seems like it’s not about expressing your opinion about the subject, but your opinion about Nintendo on any subject merely mentioning Nintendo.

    And it’s like that for many companies (Nintendo is just one example). As a consequence, I do not participate at all (I am just reading the news, trying to avoid the comment section). It’s not very healthy, and I hardly believe people discovering the fediverse will stay long if most messages they see are hating comments about what they like.


  • I think it’s even more common among more general communities. But even niche communities like retrogaming can be like that.

    Just to give a concrete example, I have seen a post about a pretty cool mod on Zelda ocarina of time where they integrated Pikmin, it has 50+ ups, and a single comment saying they can’t wait for Nintendo to shut it down. What’s the point ? And I see this more and more. It’s not the minority but the majority of the replies I see on such posts. It’s not healthy at all.


  • Not so serious subjects (I prefer to relax while being on the fediverse :) ). Anything related to Facebook / Apple / Nintendo / Disney is almost always filled with comments full of hate. It is much easier to find good communities for that on Discord for example.

    See, in the past, I used a lot Twitter to keep up with news about my interests. It was easy to filter out bad users by banning them, and following more « positive » people. I left when it became « X » because I had less interactions and much more ads (probably a consequence of letting users pay to gain visibility). I hoped the fediverse would replace it.

    In a sense it worked, because I get a lot of news. But now, I am worried to read the comments or even comment myself because people are most of the time not kind at all. More specific communities have not this issue, but the fediverse is so small that you are forced to be part of more general communities and face the general harsh talk of most people.


  • Probably not the same kind of « enshitification », but I think the fediverse creates small communities, and sometimes, it’s difficult / impossible to find non-aggressive communities for some subjects.

    It’s not really solving the issues caused by the users themselves, especially when communities are not big enough to justify big moderation teams, and those people have no incentive at all to be « kind » (it’s hit or miss I would say). Instead of 1 big community with good moderation, you can end up with many small communities with little or bad moderation.

    I have no solution to propose, it’s probably inherent to the fediverse.




  • Just to add some information, what’s innovative here is that they are likely using a traditional machine learning model (eg: neural networks) to identify the corners of the screen and infer the position the gun is aiming at from this.

    Sinden is aiming to do the same thing, but using older techniques known as compute vision. It adds a white border around the screen and uses those CV algorithms to find this rectangle. It is not AI at all.

    The reason Sinden is doing this is because it is much more easier this way (and so it is fast to compute, and very accurate).

    Whatever AI they use, it will likely be either less accurate and/or be very slow (imagine situations with low ambient light and the screen turning black). I have seen a review in japanese from journalists who tried it, and the response time was not great (and the team wants to divide it by 2 before release, which will still be worse than Sinden).

    Another possibility could be there is no AI at all, and they exploit specificities of Time Crisis. When you shoot, the screen goes white for 1 or 2 frames. You don’t need AI to spot this frame and do something very similar to Sinden without using any border.

    At this point, it might be too late to move the « cursor » to the right location, but emulators nowadays are able to apply inputs in the past, and « replay » internally the last frames in the background so that you cancel the native input lag of some games (which can make them more responsive than games running on real hardware). They could use this option and it’s done. You have a system only working on games like Time Crisis with white frames while shooting, with no white borders nor machine learning model.

    TLDR; if they use AI (=machine learning) as they claim, there will be no constraint like existing alternatives (sensors / white borders), but it will likely be less accurate / responsive. For Time Crisis specifically, it’s possible to come up with a solution without those constraints nowadays, so it’s possible they have no AI at all and use the term for marketing purposes.