I go out of my way not to do so. Whenever I search for some specific items and see “Sponsored,” I’ll scroll down until I get the same listing without the ad link.

Would you, after devoting full years of your adult life to the unpaid work of learning the requisite advanced math and computer science needed to develop such a model, like to spend years more of your life to develop a generative AI model without compensation? Within the US, it is legal to use public text for commercial purposes without any need to obtain a permit. Developers of such models deserve to be paid, just like any other workers, and that doesn’t happen unless either we make AI a utility (or something similar) and funnel tax dollars into it or the company charges for the product so it can pay its employees.

I wholeheartedly agree that AI shouldn’t be trained on copyrighted, private, or any other works outside of the public domain. I think that OpenAI’s use of nonpublic material was illegal and unethical, and that they should be legally obligated to scrap their entire model and train another one from legal material. But developers deserve to be paid for their labor and time, and that requires the company that employs them to make money somehow.

Not sure what working with China is the best idea, given their track record of retractions

https://www.nature.com/articles/d41586-021-00733-5

Wow, a real, live, tankie!

Wow, a real, live tankie!

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GPT-4 will. For example, I asked it the following:

What is the neighborhood stranger model of fluid mechanics?

It responded:

The “neighborhood stranger model” of fluid mechanics is not a recognized term or concept within the field of fluid mechanics, as of my last update in April 2023.

Now, obviously, this is a made-up term, but GPT-4 didn’t confidently give an incorrect answer. Other LLMs will. For example, Bard says,

The neighborhood stranger model of fluid mechanics is a simplified model that describes the behavior of fluids at a very small scale. In this model, fluid particles are represented as points, and their interactions are only considered with other particles that are within a certain “neighborhood” of them. This neighborhood is typically assumed to be a sphere or a cube, and the size of the neighborhood is determined by the length scale of the phenomena being studied.

There are still people who have terrible American accents in media. Lucifer’s twin, for example, was so ridiculously bad. The only person without an American accent who I’ve ever seen pull one off in media was Hugh Laurie in later seasons of House. I still find most attempts amusing, even with coaching.

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I paid for Kagi and have been super happy with it. If you don’t mind paying, I highly recommend it. Not having ads or manipulated results is worth it for me.

I interpreted it as showing that 8 hobbytes were equivalent to a hobbit. I didn’t see that it could be interpreted as saying each little frodo picture under the hobbyte was a hobbit until your comment.

But a byte is 8 bits, not the other way around

Glad to hear this classic may make a comeback

https://www.youtube.com/watch?v=GVXCr6upWUo

Where’s the Julia programmer that hits every one of these with @benchmark and then works for six hours to shave three nanoseconds off of the fastest one?

(Example: https://discourse.julialang.org/t/faster-bernoulli-sampling/35209)

Yeah, that was my favorite one

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Agreed wholeheartedly. The Lemmy community has been wonderful. People here actually have good conversations, even if they take a few days to do so, unlike the folks on Reddit. Reddit comments were more meme-y and less substantive.

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Within a loop could be:

for(i in 1:10){
     assign(paste0("listNum", i), list(i, someStringVector[i], i:(i+20), i*value))
}```

And you can also use get() in the same way to dynamically retrieve a variable. 

I've gone so far into coding debauchery that I've dynamically assigned variables from dynamically retrieved ones, and I've done so fairly frequently.