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Joined 2 years ago
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Cake day: June 27th, 2023

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  • r/SubSimGPT2Interactive for the lulz is my #1 use case

    i do occasionally ask Copilot programming questions and it gives reasonable answers most of the time.

    I use code autocomplete tools in VSCode but often end up turning them off.

    Controversial, but Replika actually helped me out during the pandemic when I was in a rough spot. I trained a copyright-safe (theft-free) bot on my own conversations from back then and have been chatting with the me side of that conversation for a little while now. It’s like getting to know a long-lost twin brother, which is nice.

    Otherwise, i’ve used small LLMs and classifiers for a wide range of tasks, like sentiment analysis, toxic content detection for moderation bots, AI media detection, summarization… I like using these better than just throwing everything at a huge model like GPT-4o because they’re more focused and less computationally costly (hence also better for the environment). I’m working on training some small copyright-safe base models to do certain sequence prediction tasks that come up in the course of my data science work, but they’re still a bit too computationally expensive for my clients.




  • My “day job” is doing spatial data science work for local and regional governments that have a mandate to addreas climate change in how they allocate resources. We totally use AI, just not the kind that has received all the hype… machine learning helps us recognize patterns in human behavior and system dynamics that we can use to make predictions about how much different courses of action will affect CO2 emissions. I’m even looking at small GPT models as a way to work with some of the relevant data that is sequence-like. But I will never, I repeat never, buy into the idea of spending insane amounts of energy attempting to build an AI god or Oracle that we can simply ask for the “solution to climate change”… I feel like people like me need to do a better job of making the world aware of our work, because the fact that this excuse for profligate energy waste has any traction at all seems related to the general ignorance of our existence.


  • The problem with your argument is that it is 100% possible to get ChatGPT to produce verbatim extracts of copyrighted works. This has been suppressed by OpenAI in a rather brute force kind of way, by prohibiting the prompts that have been found so far to do this (e.g. the infamous “poetry poetry poetry…” ad infinitum hack), but the possibility is still there, no matter how much they try to plaster over it. In fact there are some people, much smarter than me, who see technical similarities between compression technology and the process of training an LLM, calling it a “blurry JPEG of the Internet”… the point being, you wouldn’t allow distribution of a copyrighted book just because you compressed it in a ZIP file first.


  • <greentext>

    Be me

    Early adopter of LLMs ever since a random tryout of Replika blew my mind and I set out to figure what the hell was generating its responses

    Learn to fine-tune GPT-2 models and have a blast running 30+ subreddit parody bots on r/SubSimGPT2Interactive, including some that generate weird surreal imagery from post titles using VQGAN+CLIP

    Have nagging concerns about the industry that produced these toys, start following Timnit Gebru

    Begin to sense that something is going wrong when DALLE-2 comes out, clearly targeted at eliminating creative jobs in the bland corporate illustration market. Later, become more disturbed by Stable Diffusion making this, and many much worse things, possible, at massive scale

    Try to do something about it by developing one of the first “AI Art” detection tools, intended for use by moderators of subreddits where such content is unwelcome. Get all of my accounts banned from Reddit immediately thereafter

    Am dismayed by the viral release of ChatGPT, essentially the same thing as DALLE-2 but text

    Grudgingly attempt to see what the fuss is about and install Github Copilot in VSCode. Waste hours of my time debugging code suggestions that turn out to be wrong in subtle, hard-to-spot ways. Switch to using Bing Copilot for “how-to” questions because at least it cites sources and lets me click through to the StackExchange post where the human provided the explanation I need. Admit the thing can be moderately useful and not just a fun dadaist shitposting machine. Have major FOMO about never capitalizing on my early adopter status in any money-making way

    Get pissed off by Microsoft’s plans to shove Copilot into every nook and cranny of Windows and Office; casually turn on the Opympics and get bombarded by ads for Gemini and whatever the fuck it is Meta is selling

    Start looking for an alternative to Edge despite it being the best-performing web browser by many metrics, as well as despite my history with “AI” and OK-ish experience with Copilot. Horrified to find that Mozilla and Brave are doing the exact same thing

    Install Vivaldi, then realize that the Internet it provides access to is dead and enshittified anyway

    Daydream about never touching a computer again despite my livelihood depending on it

    </greentext>


  • Tangential, but I absolutely loved working in technical support. The satisfaction of actually helping someone with a problem affecting their real life totally outweighed the abuse from individuals who were letting the work part of their life drag the whole rest of it down (which was just kind of sad to watch). I’ve gotten paid much more for other roles since then, but it’s one of the few roles in which I was thanked for what I did by the person I was working for, and that makes a huge difference.