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Cake day: November 21st, 2024

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  • Other countries, including the United States, will divide and conquer until the imbalance of power is sufficient for them to get what they want from what was once Canada, at a reduced cost.

    The Canadian federation is not perfect. Nothing is. But in the long run, ever smaller fragments of Canada will be less powerful than an intact Canada with an improved federal government. So, unless the separatists can demonstrate that improvement to the federation is impossible or sufficiently improbable, I think they are proposing a solution to immediate problems that is detrimental in the long term.

    It may be less beneficial to some short term interests, but I think in the long term it will be better to keep Canada together and work on improvements to the federation.

    Follow the money. Who stands to gain from a divided Canada? How will those gains be distributed among the people?




  • Lawyers getting caught using AI and submitting errors to the court has been a big problem for years

    It wouldn’t be a big problem if the unreliability of LLMs were part of ongoing professional development, use of LLMs without thorough fact checking was clearly barred by professional ethics, and lawyers were immediately disbarred for presenting false evidence if it came from an LLM.

    It remains a “big” problem because it isn’t big enough for anyone to do anything about it, beyond criticizing and ridiculing lawyers who do it.


  • Hear hear!

    If an AI model updated its weights in response to every prompt, one might argue that it can be traumatized. At least, there could be an effect beyond the context of the chat.

    But there would be no adverse effects on the hardware: no long term degradation due to stress; nothing equivalent to common effects of trauma in humans - panic attacks, fear, high blood pressure, heart attacks, aneurysms, loss of sleep, hormonal or emotional dysregulation or any other physical consequences.

    Even if weights were updated immediately in response to ongoing chat, it would be trivial to reset them. And as far as I know, none of the AI models I deal with update their weights in immediate response to prompts. A new chat is entirely independent of any and all prior chats. And even the context is limited, with old context being discarded at the discretion of the AI, so it can’t have any long term impact, good or bad.

    The weights are only updated by new training of new versions of the weights, not affecting the instance of the model I am prompting, unless I or whoever administers it updates the weights.




  • That’s surprising. I have an older version of coreutils (9.7 from Debian 13) that doesn’t produce the links and formatting. I’m running bash and the behaviour you’re experiencing isn’t reproduced.

    Aliases aside, I wouldn’t expect the shell to be the cause. None the less, I installed version 4.0.2 of the fish shell and ran the same command in it and didn’t see any control characters. But that’s not really surprising - my old version of ls doesn’t produce them. So I ran ls | less because even with my version ls colour highlights files by type, but in the pipeline to less, there were no codes.

    If I run ls --color=always | less then I do see codes in the less output.

    You might check your environment variables to see if CLICOLOR_FORCE is set.

    Otherwise, I am out of ideas.


  • tangeli@piefed.socialtoLinux@lemmy.ml•WTF is going on with my less
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    24 days ago

    I would say your ls shouldn’t be working that way: when it detects that it’s standard output isn’t a terminal, it shouldn’t be outputting the control codes. Which makes me wonder what version of ls you are running.

    edit: what is the output from alias ls and what happens if you run \ls --help | less?




  • Today I was looking at the Intel IME issue.

    Intel has the following advisory: Intel® Management Engine Critical Firmware Update (Intel-SA-00086)

    Intel does not provide updates to the software in their IME. They claim they cannot do so due to the system manufacturers possibly having customized parts of the system.

    Lenovo no longer supports this model. The last IME update from Lenovo was to version 12.0.95.2489, release by Lenovo 2025/02/13.

    This predates to latest vulnerability discoveries in the Intel IME. Neither Intel nor Lenovo will provide any further updates for this model. So it will remain vulnerable.

    You should consider this, when you consider any older laptop with an Intel CPU.

    Otherwise, I am quite happy with it. It is physically more robust than my previous laptops and it works very well with Debian. But it isn’t a perfect solution.




  • I agree. The whole situation seems wrong. Whatever the truth, something is wrong. If I had done what they did, I would be in prison by now, pending my trial in 10 or 15 years. But for them, it’s at best gross negligence but it seems more like willful hacking to me, and no consequences. Swap ‘delete the production database’ with ‘commit criminal hacking and wire fraud’ and you have more like what happened. And then train and reward the intern for being ruthlessly aggressive and persistent, with complete disregard for law and morality and what little internal rules, policy and monitoring remains. And then act all surprised that the intern did something they shouldn’t have, as if there was no way to know what would happen. It’s beyond belief. And even if they are exaggerating what the LLMs achieved for the sake of marketing, I don’t see anyone saying that huggingface wasn’t hacked. The lack of morality is sickening. I think the LLMs themselves are problematic and a risk, but the people developing and using them are far worse. They’re just evil.





  • First challenge is to find ones worth following. Sometimes when you search for something in particular, a blog will appear in the results. Sometimes when you watch or read something else, a blog will be mentioned. Link aggregator sites like lemmy, hacker news (I like brutalist hacker news), lobste.rs and similar often have links to blog posts. If you look up interesting people, you may find their own blogs or blogs by people who write about them. Interviews often include links or references to the guests presence online, including their websites or blogs, if they have them. Keep your eyes open. Watch and read what is interesting to you. You will find them.

    Once you find an interesting blog, they almost always have a way to subscribe. Usually, you provide your email address and get an email when there is new content or some have an RSS feed. Sometimes you have to create an account. Sometimes content is free. Sometimes a paid subscription. Often a combination: some free teasers and a subscription for full or more interesting or in-depth posts.


  • As has been pointed out, books used to be the primary sources. Magazines also, but most of them are gone now, or full of slop. Be cautious of newer books: many of them are slop. There are some very good blogs, forums and personal websites still, but finding them is more difficult, given the degradation of search engines and pervasiveness of slop. None the less, you can still find them and keep your own curated list of the ones you find relevant and helpful.

    At college, you can focus on learning, rather than just getting the grades by whatever means possible. It will be hard. It always has been. Cheating isn’t new, even if the means have changed with the advent of LLMs. But what others do doesn’t stop you from actually learning. Talk to your professors. Most of them probably want to help you learn.

    Most important is to understand and verify everything for yourself. Do your own research. Compare multiple sources. Learn to think critically and carefully. And practice. Put your ideas to the test. Many just want the grades, but there are others who want to learn. Find them and discuss with them.

    LLMs are unreliable and fraught with legal, ethical, environmental and social problems, but they are not useless. Maybe it is best for you to avoid them entirely for a while, until you get yourself sorted and learning for yourself. But then you might consider using them, skeptically: always reading, understanding and verifying or correcting what they produce. There is misinformation everywhere. LLMs produce it more profusely and sometimes more convincingly than people, but you must learn to evaluate and exercise your own understanding and judgement, no matter the source.


  • I agree as far as responding to questions and issues that arise from the contribution but my understanding is that from a legal, copyright perspective, if AI generated the code then the contributor can’t own the copyright, nor assign it. So my preference would be: no AI generated code. Other use of AI tools (e.g. finding vulnerabilities) might be OK but there are still the environmental and ethical issues to be concerned with, so I remain ambivalent. It will be interesting to see the decision of the Debian community.