[–] [S] 8 points 4 weeks ago

Yeah, that’s actually what made me curious about it too. I kept hearing about the Mona Lisa everywhere, and I started wondering what was really so special about that particular painting. There are so many valuable and beautiful paintings out there, so I wanted to understand why this one became that famous. That’s what made me look more into its history

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    TIL why the Mona Lisa became so famous I’ve always wondered why the Mona Lisa is so admired when there are so many other famous paintings from the Renaissance. What surprised me is that its fame didn’t come from one single thing. Leonardo’s technique, the painting’s history, its connection with the Louvre, and especially the attention it received after the 1911 theft all played a role

     

    Forgetting a Wi-Fi password is pretty common, especially when you’re trying to connect a new phone or laptop.

    There are a few simple ways to connect without having to type the password manually, as long as you’re authorized to use the network. QR codes, saved network settings and sharing features can make the process much easier.

    Which method do you usually use?

    [–] 2 points 4 weeks ago

    Interesting perspective. As AI becomes more common in software development, choosing when not to use AI could become just as important as choosing when to use it

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    Artificial intelligence is creating new career opportunities while also changing the skills employers need. As AI becomes increasingly integrated into the workplace, millions of workers may need to adapt and develop new digital and technical skills to remain competitive The impact of AI is not only about job displacement. It is also creating new roles and changing how people work across different industries

    What skills do you think workers should focus on as AI continues to reshape the job market?

     

    TIL that generative AI is changing how teachers assess student work.

    Instead of looking only at the final assignment, some educators are paying more attention to drafts, revision history, research notes and oral explanations. The goal is to determine whether students actually understand the work they submit.

    AI detectors can also make mistakes, so a detection score alone may not be enough to establish academic misconduct.

    I found it interesting that education is increasingly shifting from simply asking “Who wrote this?” to asking “Does the student understand this?”

    What do you think is the fairest way to assess students in the age of AI?

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