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Joined 1 year ago
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Cake day: June 11th, 2023

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  • “our fake history” is a pretty good match to what you’re describing. It’s a relatively light hearted, rigorously researched, history podcast with a focus on misunderstood historical figures and events.

    “The plastic plesiosaur podcast” is a really fun podcast more focused on cryptids and pop science.

    One of the host to plastic plesiosaur has a YouTube channel called “trey the explainer” which is worth a watch.

    And if you like low key, entertaining deep dives into machining or tech, check out “technology connections,” “this old Tony,” and “tech moan.”


  • Imo, the true fallacy of using AI for journalism or general text, lies not so much in generative AI’s fundamental unreliability, but rather it’s existence as an affordable service.

    Why would I want to parse through AI generated text on times.com, when for free, I could speak to some of the most advanced AI on bing.com or openai’s chat GPT or Google bard or a meta product. These, after all, are the back ends that most journalistic or general written content websites are using to generate text.

    To be clear, I ask why not cut out the middleman if they’re just serving me AI content.

    I use AI products frequently, and I think they have quite a bit of value. However, when I want new accurate information on current developments, or really anything more reliable or deeper than a Wikipedia article, I turn exclusively to human sources.

    The only justification a service has for serving me generated AI text, is perhaps the promise that they have a custom trained model with highly specific training data. I can imagine, for example, weather.com developing highly specific specialized AI models which tie into an in-house llm and provide me with up-to-date and accurate weather information. The question I would have in that case would be why am I reading an article rather than just being given access to the llm for a nominal fee? At some point, they are not no longer a regular website, they are a vendor for a in-house AI.