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Joined 1 year ago
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Cake day: June 19th, 2023

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  • There is a massive fundamental difference between having a person see your face in public, or even having a basic security camera record your face, and having a system recognize your biometric data and stalk you through every public environment with extreme precision.

    The general public should absolutely not accept the imposition of being expected to be followed through every public place by private corporate entities for undisclosed purposes. We can and should aggressively push government representatives to take strong regulatory action to outlaw this behavior and aggressively punish violations.

    Will making these efforts actually change matters? Maybe, maybe not. Will throwing your hands up and just assuming it’s impossible to change anything and that we should all just lay down and accept it as fact lead to the worst possible outcome? Absolutely.


  • I’ve found a very simple expedient to avoid any such issues is just to not use things like ChatGPT in the first place. While they’re an interesting gadget, I have been extremely critical of the massive over-hyped pitches of how useful LLMs actually are in practice, and have regarded them with the same scrutiny and distrust as people trying to sell me expensive monkey pictures during the crypto boom. Just as I came out better of because I didn’t add NFTs to my financial assets during the crypto boom, I suspect that not integrating ChatGPT or its competitors into my workflow now will end up being a solid bet, given that the current landscape of LLM based tools is pretty much exclusively a corporate dominated minefield surrounded by countless dubious ethics points and doubts on what these tools are even ultimately good for.



  • This is something I think a lot of people don’t get about all the current ML hype. Even if you disregard all the other huge ethics issues surrounding sourcing training data, what does anybody think is going to happen if you take the modern web, a huge sea of extremist social media posts, SEO optimized scams and malware, and just general data toxic waste, and then train a model on it without rigorously pushing it away from being deranged? There’s a reason all the current AI chatbots have had countless hours of human moderation adjustment to make them remotely acceptable to deploy publicly, and even then there are plenty of infamous examples of them running off the rails and saying deranged things.

    Talking about an “uncensored” LLM basically just comes down to saying you’d like the unfiltered experience of a robot that will casually regurgitate all the worst parts of the internet at you, so unless you’re actively trying to produce a model to do illegal or unethical things I don’t quite see the point of contention or what “censorship” could actually mean in this context.







  • Not to defend diet coke (any kind of soda is not healthy for you, regardless), but I would generally assume that drinking 144oz (assuming 18x8oz cans/day) of any type of beverage that isn’t plain old water would tend to cause some level of serious health effects, given that’s more than your entire general recommended daily fluid intake from all sources. I feel like the general takeaway is that most food and drink is bad for you in excess, and companies constantly slapping “diet/low fat/low carb/etc.” labels on junk food products that are marginally healthier than their peers gives a false impression that you can have your cake and eat it too in terms of negative health effects from these foods/drinks.