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Joined 2 months ago
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Cake day: April 26th, 2025

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  • Biden is our literal Hitler, when we (Palestinians) write our history books on the genocide, we will not leave our any detail and we won’t let him rest in peace.

    He mocked our suffering as he have Israel unlimited power to destroy all of our life in Gaza, and Trump doesn’t get the credit for it, he inherited it from Biden.

    Unless you want to give credit to everything good he inherited from Biden too? I didn’t think so. Stay consistent!

    Genocide Joe is the reason we’re here, his genocide is literally the trigger for everything we’re dealing with today, and you still think he’s the lesser of two evils. There is no lesser, there is only evil with these two parties.






  • Actually, Firefox version numbers were totally independent for most of their history, but Mozilla recently adjusted them to roughly align with Chromium versions to reduce confusion for developers.

    2004 - Firefox 1.0, no Chrome yet 2010 - Firefox 4.0, Chrome around version 8 2011 - Firefox switches to rapid releases 2020 - Firefox and Chrome both around version 85, just by coincidence 2024 - Firefox jumps from 124 to 126 to align with Chrome 126 2025 - Firefox 126+, Chrome 126+, version numbers now track similarly








  • You’re moving the goalposts. You said you need nuance in how to measure a shirt size, you’re arguing just to argue.

    If a model ever starts answering these curiosities inaccurately, it would be an insufficient model for that task and wouldn’t be used for it. You would immediately notice this is a bad model when it tells you to measure your neck to get a sleeve length.

    Am I making sense? If the model starts giving people bad answers, people will notice when reality hits them in the face.

    So I’m making the assertion that many models today are already sufficient for accurately answering daily curiosities about modern life.



  • Let me know when we get one. In the meantime, enjoy your thick, glue riddled, pizza sauce

    What? That’s just stupid, like I’m not remotely claiming they are intelligent, but to dismiss their utility completely is just idiotic. How long do you think the plug your ears strategy will work for?

    Pick any model that has come out this year and ask if my example query or any similar daily curiosity you would Google, and show me how it gives you “thick, glue riddled, pizza sauce”. Show me a single gpt 3.5 comparable model that can’t answer that query with sufficient accuracy.

    if AI is answering, yes.

    You’re being obtuse. You don’t need nuance in trying to figure out what size collar you should buy.


  • The last thing I googled is how to measure dress shirt size. Do you need context and nuance for everything you Google?

    Do you prefer to click on the seo optimized first page results that are full of ads and read through a nonsense article about elegance in formal wear just to get to the instructions on where to place the measuring tape on your shoulder? I MUCH prefer the AI summarized response.

    Most of the Internet is NOT intellectual writing, it’s blog spam to answer your daily curiosities and practical needs. A sufficienty trained model is a really good (and environmentally friendly) alternative.



  • Different types of AI, different training data, different expectations and outcomes. Generative AI is but one use case.

    It’s already been proven a useful tool in research, when directed and used correctly by an expert. It’s a tool, to give to scientists to assist them, not replace them.

    If you’re goal to use AI to replace people, you’ve got a bad surprise coming.

    If you’re not equipping your people with the skills and tools of AI, your people will become obsolete in short time.

    Learn AI and how to utilize it as a tool, you can train your own model on your own private data and locally interrogate the model to do unique analysis typically not possible in realtime. Learn the goods and bads of technology and let your ethics guide how you use it, but stop dismissing revolutionary technology because the earlier generative models weren’t reinforced enough get fingers right.


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