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Cake day: March 11th, 2025

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  • huppakee@lemm.eetoTechnology@lemmy.worldaight... i'm out..
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    3 hours ago

    For context: it already saved your data as you had acces to your previous chats. Then came the memory feature, which meant they saved like a summary in to a new dataset (eg ‘the user lives in country x’ and ‘the user doesn’t like birthdays’), so you are right it does save it already. The news is that they will now the bot will acces more of your chat history, I think when they write ChatGPT they mean it as ‘your personal chatbot’ instead of ‘the company that offers the chatbot’.




  • I’m not saying the system is what you should be more grateful of, but minimum wages were fought for by people who didn’t earn enough to pay for their basic needs. They acts as flood gates against greedy employers. Doesn’t mean the rest of the system is worth appreciating.

    The need for lowering the price of goods doesn’t change when there would be a basic income, but you are right people are more willing to accept a low wage of they are threatened by starvation and homelessness, a basic income will definitely be a good thing for people who currently are earning a low wage.





  • I didn’t overlook it, just not part of the point I’m trying to make. If there would be a basic income and on top of that there is a 2ct hourly wage, everybody will be sitting on their ass. When people are financially ‘rewarded’ for their work they’re more likely to give a damn, even if you’d have thousands of dollars basic income. In other words, having a legally set minimum wage is a good thing also with UBI.

    Edit: my statement about underpayed prisoners prove this fact, except their basic income is basically ‘spent’ on food and housing (it’s a bit of a stretch, but better rewards (/higher wages) increase motivation in this case as well). Also let me stress this before it becomes part of the argument, I totally agree on the it needing to be backed by science.








  • Thanks for sharing, this could actually be very helpful research for the development of Lemmy and other fediverse platforms. Here is some text from the article that explains what appearantly happens by using bots:

    […] not all bots are the same in the bustling world of Reddit.

    Some bots are simple, […]. Take WikiTextBot, for example. […] Using Reddit’s API, it scans every post and follows its hard-coded rule: “If there’s a Wikipedia link, post a summary.” These bots, [are] known as “reflexive bots,” […].

    Then there are […] the “supervisory bots” tasked with moderating discussions. […]

    [… ] it’s important to understand how the presence of these bots affects human-to-human interactions in these online communities. […]

    They observed that reflexive bots, which generate and share content, increased user connections by providing novel content and encouraging engagement. However, this came at a cost: human interactions became shallower, with fewer meaningful back-and-forth discussions. Instead, bots often replied to posts, limiting deeper conversations between human users.

    On the other hand, supervisory bots, designed to enforce community rules, reduced the need for human moderators. Previously, key community members would collaborate to set and uphold norms, strengthening their roles within the community. With automated moderation, this coordination became less necessary, leading to a diminished role for human moderators in fostering community engagement and culture.

    The story of bots on social media is still unfolding, with platforms and their creators tasked with finding the right balance between innovation and authenticity. As firms weigh the impact of bots, they face an essential truth: how these digital entities are managed will shape the future of online human connection.

    So the last part is why this matters, but I wanted to include lines from the first part because they explain what the basis of the research. I took the liberty to put the last line in bold because that is why I felt the need to write this response. Also worth mentioning is the size of this research:

    Between 2005 and 2019, Lalor and his team studied Reddit communities- almost 70 million posts- experiencing a rise in bot activity.