If you don’t understand the study itself or in general if you’re interested in it, it’s always a good idea to also read a good news report on it; see this and also this. They found carrot intake rather than beta-carotene, the focus of prior studies, has this association and figure 6 was just to show that they don’t have much data on daily intake of a carrot or more.

Higher accuracy was achieved in an earlier study where another team used large fMRI machines (it was featured in the version for May). There participants listened to audiobooks / speech while being in the large machine; I guess long training would be easier here but it’s more limited since it’s EEG. However, they claim they have exceeded 60% by now.

The study is here.

In 30 prospective studies with 9331 cases reporting plasma α-carotene levels, summary [relative risk] was 0.80.

10% reduction of less frequent intake of carrots seems more robustly backed by the data. Hopefully, some new study provides more info how big of an effect daily carrots have; see Figure 6.

No, they just added lots of data for one of the multiple things that current emulation efforts (just like neural networks / brain-inspired AI software) so far didn’t even include (neuropeptides).

There’s no reason for why it would now be possible to simulate complex nervous system processes, but maybe this could enable getting closer to that. I don’t know what you mean with “outside behavior” though. Maybe you’re referring to the behavior in some simulation like this?

There are tons of options for that, mainly energy storage such as batteries, hydro, and green hydrogen. Nuclear is not needed and too expensive among other things.

It’s because the education system is utterly outdated across the world. No digital literacy, media literacy, or health literacy in the curriculum but lots of things you’ll never need and forget to never be useful again within a few months. Studies should investigate things relating to this subject.

It’s also because of the quality of search engine results but both are directly linked, people need to learn how to use search engines etc.

Seems like quite some progress in nanobiotech there.

See wetware computer for more info about this. Some studies in “2023 in science” will get integrated there soon, there have been similar recent studies.

It’s more or less only (that is mainly) useful for building components that you then use in your man-made tracks. It’s a tool, just like AI image generators are tools albeit there the replacement use-case is substantial. AI-generated voice also needs to be considered in this context I think.

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They are sorted by order of appearance; it’s just 4 links and the two additional ones are the short items of the tile’s image.

Yes (200k–300.000), that’s why it says pre-humans…we didn’t arise out of nowhere, it was a continuous evolution and it seems like if those had died out we wouldn’t be here. (However, that’s not settled, there are substantial reasonable doubts over these results as hinted at with “While alternative explanations are possible” and elaborated in the other comments here.)

Good question, it wasn’t a warming and even if it was, I don’t think it can easily be translated to today’s climate change. They refer to the Early-to-Middle Pleistocene Transition (not much info at that page though). If it’s linked, that doesn’t mean it caused it – I think people in that regard far too often think of (especially singular) causes instead of contributors within a complex interconnected set of causal factors. Maybe you’re interested in this non-included paper from the same month which projects an upcoming large sudden population decline – it’s just not substantiated and one can’t just compare modern humans with other animal populations.

See the papers linked here