• 13 Posts
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Joined 1 year ago
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Cake day: October 19th, 2023

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  • I want to be clear here that this is dangerous messaging. While any individual vote likely has little effect on the outcome of an election, it’s people’s collective vote that does ultimately decide the outcome. And when the electorate is disengaged, disinterested, and apathetic, that is the environment in which fascism and authoritarianism thrives. Voting is not and should not be the end of a citizen’s political participation, but it is still vitally important. Voting should only be the foundation of citizen political participation. It’s also important to campaign, to discuss important political issues with others, and to protest and take direct action against the injustice of the political class. But if you don’t vote and spread the idea that voting is meaningless, your efforts will change nothing.

    This line in particular comes a lot of young people, and it is an absolutely understandable and reasonable conclusion for them to come from seeing as they are the most politically neglected group, and politicians almost never pay more than lip service to the concerns of the young. Youth turnout in elections is historically rubbish, so why would any rational politician pay heed to the demands of a voting bloc that won’t influence the outcome of an election? Politicians who pander to youth voters will lose to politicians who pander to old voters simply because youth voters will stay home while old voters will show up at the polls and vote their guy into office.

    It costs almost nothing to vote and to encourage others to vote as well. So do it. It is irresponsible to spread the idea that voting is meaningless without also attaching the context that if you don’t vote, you have no power at all.




  • This is not what I would consider a “political reason”. A political reason would be something like refusing to package it because of what political party Howard supports.

    There is plenty of software you’ll find in these repositories that aren’t under the GPL. CMake uses BSD, the Apache web server uses the eponymous Apache license, LibreOffice and Firefox use MPL, Godot and Bitcoin Core use the MIT license, and I’m sure there are plenty of other software licenses that I haven’t thought of yet.



  • An LLM (large language model, a.k.a. an AI whose output is natural language text based on a natural language text prompt) is useful for the tasks when you’re okay with 90% accuracy generated at 10% of the cost and 1,000% faster. And where the output will solely be used in-house by yourself and not served to other people. For example, if your goal is to generate an abstract for a paper you’ve written, AI might be the way to go since it turns a writing problem into a proofreading problem.

    The Google Search LLM which summarises search results is good enough for most purposes. I wouldn’t rely on it for in-depth research but like I said, it’s 90% accurate and 1,000% faster. You just have to be mindful of this limitation.

    I don’t personally like interacting with customer service LLMs because they can only serve up help articles from the company’s help pages, but they are still remarkably good at that task. I don’t need help pages because the reason I’m contacting customer service to begin with is because I couldn’t find the solution using the help pages. It doesn’t help me, but it will no doubt help plenty of other people whose first instinct is not to read the f***ing manual. Of course, I’m not going to pretend customer service LLMs are perfect. In fact, the most common problem with them seems to be that they go “off the script” and hallucinate solutions that obviously don’t work, or pretend that they’ve scheduled a callback with a human when you request it, but they actually haven’t. This is a really common problem with any sort of LLM.

    At the same time, if you try to serve content generated by an LLM and then present it as anything of higher quality than it actually is, customers immediately detest it. Most LLM writing is of pretty low quality anyway and sounds formulaic, because to an extent, it was generated by a formula.

    Consumers don’t like being tricked, and especially when it comes to creative content, I think that most people appreciate the human effort that goes into creating it. In that sense, serving AI content is synonymous with a lack of effort and laziness on the part of whoever decided to put that AI there.

    But yeah, for a specific subset of limited use cases, LLMs can indeed be a good tool. They aren’t good enough to replace humans, but they can certainly help humans and reduce the amount of human workload needed.