Exactly. The notion of online learning is not new, but that approach cedes a lot of control to unknown forces. From a theoretical standpoint, this paper is interesting, there are definitely interesting questions to explore about how we could make an AI that learns autonomously. But in most production contexts, it's not desirable.
Imagine deploying a software product that changes over time in unknown ways -- could be good changes, could be bad, who knows? This goes beyond even making changes to a live system, it's letting the system react to the stream of data coming in and make changes to itself.
It's much preferable to lock down a model that is working well, release that, and then continue efforts to develop something better behind the scenes. It lets you treat it more like a software product with defined versions, release dates, etc., rather than some evolving organism.
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I've long wished that "journals" and academic societies would transition from a publishing model to a cultivation model. If everything is available on arXiv, that's great, but it also means the best of the best is mixed in with all the rest.
Journals (in the sense of whoever is on the editorial board) don't need to cease to exist; they just need to transition to "here's our list this month of what the best new articles are on X topic". The paper's already there on arXiv, you could already read it before. But having a group of editors that cultivate a list of good articles (as well as the peer review process that can, in an ideal world, serve to improve a paper) can serve to make sifting through arXiv less overwhelming, and draw attention to papers in particular subfields, subject matter, or whatever other criteria might be relevant.
To me, the wording doesn't necessarily imply causality, but it does imply a repeated-measures design. Something being "associated with an increase in symptoms" is different than something being "associated with higher symptoms"; the former suggests that participants were measured at multiple time points, and there is a factor that could explain that change over time. But reading through the study, it was just a single time point.
Regardless, you're correct that it also shouldn't be taken to imply a causal relationship.
It doesn't stay localized; runoff from farmland is a major issue. In other words, the farm animal poops out a bunch of antiobiotics, then it rains and that poop ends up washing into the river/lake/water table. That's already something that happens with situations like E. coli contamination. Things that happen on the farm don't stay on the farm.
You're talking about superintelligence. AGI is just...an AI that's roughly on par with humans on most things. There's no inherent reason why AGI will lead to ASI.
I don't really feel any sort of "phantom obligation" about RSS feeds. But I can certainly say it rings true in other areas of my life: Steam games, movies and TV shows, podcasts, books...everything is this growing list of things to do, that I keep adding to even as I'm trying to get through what I've already got in the queue. For video games, people often talk about their "backlog", as if it's important that they churn through all the games they've bought.
I have tried to remind myself in the past that literally nobody cares if I am behind on the TV shows I'm wanting to watch. Just me. So...I like the term "phantom obligation". I'll definitely tuck that away in my brain for later use.
Unfortunately it didn't mention the section in that carpark! But I can attest that the section behind the Leonardo Royal Hotel is amazing. I also recommend the tower remains on the Barbican estate (and really, just wander around the Barbican for a while, it's a wild place in general).
Tom Scott's 3-part series (on YouTube) a few years back on "How to be popular on the Internet"[0] has similar advice. There are higher-cost and lower-cost ideas, but given the amount of randomness inherent to getting popular, quantity tends to be the more important factor. He of course says it much better than I can.