LLMs do a cool parlour trick; all they do is predict “what should the next word be?” But they do it so convincingly that in the right circumstances they seem intelligent. But that’s all it is; a trick. It’s a cool trick, and it has utility, but it’s still just a trick.
All these people thinking that if only we add enough billions of parameters when the LLM is learning and add enough tokens of context, then eventually it’ll actually understand the code and make sensible decisions? These same people perhaps also believe if Penn and Teller cut enough ladies in half on stage they’ll eventually be great doctors.
If you’re 2x farther away, the intensity of the sound with be 1/4, because of the inverse square law, so logically your speaker would need to be 300% louder.
One of the largest camera stores in the US is https://www.bhphotovideo.com/. Since B&H was founded in NYC by Orthodox Jews, you can’t event place an order on their website on Saturdays.
> but if your hobby is a website where others can post content you have a responsibility that the content shouldn't be illegal or harmful to others
I’m not entirely sure I agree with this sentiment. It certainly isn’t true from a legal standpoint in America, where section 230 explicitly absolves you from any such responsibility. I also don’t think most of the objections to the OSA center around a need to remove child pornography, but instead the fact that you are forced to employ technological measures that don’t currently exist to remove child pornography. All of this is a little besides the point though because…
> If you can't deal with those responsibilities you can't run the website.
I absolutely can. If the law is unreasonable, I can block all users from the host country, and keep running my website. Which is exactly what Lobsters and a lot of other people are choosing to do.
No kidding! This is my first time experimenting with converting Keynote slides into HTML, so I'm not surprised it didn't go perfectly. I just pushed a quick fix for the overflow issue but should probably figure out a longer-term solution.
I just spent an afternoon recreating the custom threads on a Hayward chlorinator for my dad so I could 3D print a temporary replacement part. These don’t even use standard pipe fitting thread. -_-
All these people thinking that if only we add enough billions of parameters when the LLM is learning and add enough tokens of context, then eventually it’ll actually understand the code and make sensible decisions? These same people perhaps also believe if Penn and Teller cut enough ladies in half on stage they’ll eventually be great doctors.
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