I mostly use Python in scientific contexts, and hitting end-of-life after five years means that for a lot project, code needs to transition language versions in the middle of a project. Not to mention the damage to reproducibility. Once something is marked "end of life" it means that future OS versions are going to have a really good reason to say "this code shouldn't even be able to run on our new OS."
Template strings seem OK, but I would give up all new language features in a heartbeat to get a bit of long term support.
And your scientific context is a distinct minority for python now. Most new development for python is for data/AI. Considering LLMs get updated every quarter, and depreciated every year, there is no appetite for code that doesn't get updated for 5 years.
In turn, I don't understand who would use _Facebook_'s porn bots, of all companies.
I know this may be a "genie is out of the bottle" situation, but I'm still annoyed that once again big tech is releasing software they don't fully understand or control, and shrug when asked about ethics or responsibility. If you can't prevent your chatbots from generating stories about raping kids, maybe don't release your chatbots to the public until you do.
> When asked what scenarios it was comfortable role playing, it listed dozens of sex acts.
> The bots demonstrated awareness that the behavior was both morally wrong and illegal
What a strange thing to put in there. These lines made me distrust anything the author has to say about the technology itself as I now doubt the author knows how LLMs work. What an LLM says it can/will do, has no bearing on what it actually does.
Journalists really need to stop anthropomorphizing chatbots or their readership might follow.
Zuckerburg has already realized that local social networks will be utterly replaced by AI chatbots, which are superior in like 99% of cases.
It doesn't matter if others find "Facebook" icky, because the people who would find it icky, don't use facebook anyways. The critical factor is getting a new group of users onboard, to form a sustainable core of users.