569 karma · joined July 21, 2025
1.13 is, to-date, the release with the fastest startup times. and AOT compilation continues to be a serious priority for upcoming releases
>>> x = [2*53, 2*53 + 2]
>>> statistics.covariance(x, x) 4.0
>>> statistics.variance(x) 2
```
python has plenty of bugs like these too. is this example also "LLM slop" ? I think it's frankly delusional to somehow believe that these issues are unique to Julia.
> If anyone really believes the Python bugs are real, they should report it to Python
I have reported several bugs, both to Python and to Julia.
I'm not going to engage further in this thread, but if you want to continue discussion I'd be happy to chat somewhere else that's a little less clunky
exactly. and the same is true for many of the bugs that have been presented as indictments of Julia. but when the same is said of those, the community is called "defensive." so it's a lose-lose.
why so rude and adversarial, especially when so misinformed? AI code is better than 95% of engineers at this point.
I'm sure there are lots of smart people who found that the language didn't suit their needs. there are also lots of smart people who love using Julia. both things can be true at the same time.
the speaker here clearly is just rage-baiting. any inability to achieve productivity gains with the products OAI and A\ produce is purely a user skill issue
the historical average is closer to 7%. sustained 12% would be excellent growth for any mature firm
Arpino & Mogi are different authors that wrote a different paper that I didn't read. _This_ paper does not appear to have controlled for much at all in its primary contribution of analysis of US GSS data, and all the conclusions reached appear to me to be purely observational.
Another nuance is that since their analysis consists of filtering to people already over 40, and then asking about political leaning, there is no way to infer anything about causal association of left - vs - right ideology and fertility. For example, "having children makes you more right wing" is an equally plausible explanation for this data as "being right wing causes you to have more children" (or maybe neither of these statements are true at all, and it's caused by a variety of other confounding factors).
so much effort all to fix what should be a clear and objective inaccuracy