mirrorlake
Joined 7 years ago
Joined 7 years ago
Also, Hillel (author) has a blog that's absolutely worth checking out as well as some great conference talks which are on YouTube, he's on the short list of speakers who I automatically watch any of their talks.
Just do the research, and you don't have to qualify it. "GPT said that Don Knuth said..." Just verify that Don said it, and report the real fact! And if something turns out to be too difficult to fact check, that's still valuable information.
As a former user of 16:10, I feel your pain, though.
I'm very skeptical of the claim that you'll be able to identify people by "usefulness of code", whatever that means.
The e-mail correspondence goes like this: "Hello Professor, I'd like to meet to discuss my failing grade. I didn't know that using ChatGPT was bad, can I have some points back or rewrite my essay?"
The definition of "theoretical physics" might have rapidly changed between 1900, 1920, 1940, and 1950--but certainly people who called themselves theoreticians remained mostly unchanged. Analyzing how everyone's definitions were changing gives a wealth of information about when and where breakthroughs were happening. 1919 and 1945 come to mind as such examples of when a theoretical field changed as a result of experiments [1][2].
Back to computing: Dijkstra told the story of attempting to put "Programmer" as his profession on his marriage certificate in 1957, and was rejected [3]. Clearly there are both pros and cons of using the sociological definition of a field. We all know programming existed before 1957, but the perception of it as a profession was so foreign that it wasn't allowed on an official document. It would've been impossible, apparently, where he lived to ponder about "What is programming?" if no one could BE a programmer. For that reason, we should probably be flexible and always be willing to discuss different definitions for every field so that we gain the benefits from multiple lines of reasoning.
[1] https://en.wikipedia.org/wiki/Eddington_experiment
[2] https://en.wikipedia.org/wiki/Trinity_(nuclear_test)
[3] https://amturing.acm.org/award_winners/dijkstra_1053701.cfm
Another trend, starting sometime last year, has been witnessing people reading scripts on camera: YouTube, public speeches, advertisements, and podcasts where a real human is reading from a script that is LLM-generated.
In the case of smaller video creators and podcasters, I then start wondering if they really think they can pretend that this is organic human speech? Or do they think I'm stupid and will continue to consume this slop without any critical thought..? Or do they think that their audience must know, and therefore consent to it, and so it's okay? In some cases, the person reading the LLM script is literally unaware that they're reading LLM text because a human scriptwriter handed them the page. I see this with advertising copy and a few YouTube channels.
Either way, it has led to quite a few instances where I got the LLM "ick", like I'm witnessing an LLM wearing a human skin, and it grosses me out so much.
As one final note: some of us assumed in ~2023 that LLMs would help to improve technical documentation. Thus far, 3 years after that prediction, I can say definitively that we've not ushered in an era of great documentation. We've got a steadily increasing percentage of documents that cause my eyes to glaze over because I don't know if a human expert ever once vetted it.