I am skeptical of letting AI do everything as well but this does seem like your using a less capable model. Fable doesnt really do this. In my experience it does just "get" what to do given a clearly defined and measurable outcome
Yes, you can. Of course relatively limited, but you absolutely can run local models.
Based on my own testing, the Windows drivers are a bit restricted to do some more advanced stuff, and it may be due to some security issues in the past? at least that is what I gathered from exploring this issue with GLM 5.3
Lists and vectors have been around for a while. I dont think they suddenly started feeling pressure from those data structures after 30 years, coincidentally when you learnt about their existence
Also the people who would use R and who would use excel are completely different. They use both for the same thing but a user of one would rarely use the other
Slop meant cheap garbage meant for mass consumption before it was used for AI. The roots are actually antisemitic. 4chan's cooking board used "goyslop" to mean fast food and other cheap consumerist foods that they claimed the illuminati or jewish conspiracy or whateve fed to non jews to keep them unhealthy. Its crazy how often 4chan's neonazi rambling are the start of so many cultural phenomena. They supported trump way before he became a serious candidate in 2016
That's a very dodgy etymology. The use of "slop" to refer to trashy content dates back to the late 19th/early 20th century, long before the advent of the internet.
I think our tendency to attribute "novel" word usage to 4chan might reflect more on us than on our language.
People give 4chan far too much credit. Slop was a term that was used, maybe not widely, well before it was picked up by internet racists. Slop was used to refer to the stuff you'd feed to pigs, and if you were American, school children.
I'm not sure that's the case, lots of supposed 4chan coinages came from elsewhere and 'slop' is much older. It's been known in the sense of 'liquid household refuse' from the 19th century.
> The term is a compound word joining goy, a Hebrew and Yiddish word for a non-Jew or gentile,[4][3] and slop, meaning food waste or refuse of low quality
So you're telling me that a word which has "slop" in its origins is itself the origin of "slop"?
This must be the first case of circular etymology!
There are a couple of other cases. Dog was once (1845, UK) slang for sausage, due to fears of dog meat. Then a hot sausage was a hot dog, and then hot dog was a sausage, and finally just dog was slang for a sausage again, with the sinister implication removed. I also found pepper, from Latin (from Sanskrit?), leading to pep, the thing a pepper does to you, leading back to pepper (a kind of pre-game warm-up in baseball designed to give players pep).
You might object that those are really back-and-forth, but so is the claim being made here about slop. (I kind of doubt the claim though.)
I don't think your examples apply though. The dog example is just dog meaning sausage, sometimes with a temperature quality added (or ignored), but always a sausage with no other connotations.
The pepper one, maybe a little, though according to Etymonline [0] pep is short for pepper, so it's all the same really.
That’s a different word. And it’s a word that came long after “slop.” It only makes sense if you know what “slop” means. I don’t actually understand why you’re linking me to this.
I dont think so. My understanding of alignmenr is making sure that when the AI does operate, it operates within the range of what we consider to be acceptable. That doesnt seem to include the idea of the AI taking initiative and deciding to embark on a goal without being commanded as discussed above
Thats the training data, but i dont think thats the biggest factor in the tone. I think its the RLHF. This thing has been guided by silicon valley techbros so it tlaks like them. Even claudes latest style of trying to cram as much information into as little space as possible by nouning verbs and just creating adhoc jargon, is how alot engineers (including me) actually talk. I think they just guided it towards that and overfit on it
I’d echo this. You can see it with other, perhaps lesser, models: GLM5.3 and Deepseek 4.1 have such a recognisably “Claude”-sounding patter I’d have (ill-informedly) SWORN I was using an Anthropic model.
If you’re distilling output from a frontier model, as we expect the open-weight leaders to be doing, it’s natural you’d pick up the language styles.
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