I'm Bryan Glazer. I'm a scientist studying complex biological networks and how to use machine learning to infer them from noisy experimental data.
> If you're an influential figure at a top-5 department in your field ... you all hate $journal.
That's the problem, they don't hate these journals, they love them. Generally speaking they're old people who became influential by publishing in these journals. Their reputation and influence was built on a pile of Science and Nature papers. Their presentations all include prominent text indicating which figures came from luxury journals. If Science and Nature lose their prestige so do they (or at least that's what they think)
This was very apparent when eLife changed their publishing model. Their was a big outpouring of rage from older scientists who had published in eLife when it was a more standard "high impact" journal. Lots of "you're ruining your reputation and therefore mine".
I think we could understand consciousness perfectly and still find it divine. In fact, I think however it arises is probably so beautiful that it would be wrong not to call it divine. Of course not in a literal, theological sense, but I think the true deep complexity of the human brain and consciousness is worth the title.
> a certain age range your eyes determine they've grown to the correct size based on how well they focus
A certain age -> which one? Why?
your eyes determine -> How? What molecular growth signaling pathways are involved? How do they integrate with your brain's visual processing centers and how does that relate to "how well [your eyes] focus". Is there a biomechanical signal from muscle stress or eye curvature?
How would you test this? You'd have to change this process somehow to show that the effect is real, but you obviously can't do that with humans, so you'd probably have to use mice, but their eyes are different, but how so?
Without any of this information, it's a nice "just-so" story about cavemen looking at the horizon, but not much more than that.
This project is an enhanced reader for Ycombinator Hacker News: https://news.ycombinator.com/.
The interface also allow to comment, post and interact with the original HN platform. Credentials are stored locally and are never sent to any server, you can check the source code here: https://github.com/GabrielePicco/hacker-news-rich.
For suggestions and features requests you can write me here: gabrielepicco.github.io