Based on my understanding of how these things work: Yes, probably no, and probably no… I think the map is just a “catalogue” of what things are, not at the point where we can do fancy models on it

This is their GitHub account, anyone knowledgeable enough about research software engineering is welcomed to give it a try

There are a few neuroscientists who are trying to decipher biological neural connections using principles from deep learning (a.k.a. AI/ML), don’t think this is a popular subfield though. Andreas Tolias is the first one that comes to my mind, he and a bunch of folks from Columbia/Baylor were in a consortium when I started my PhD… not sure if that consortium is still going. His lab website (SSL cert expired bruh). They might solve the second two statements you raised… no idea when though.

I have a suspicion it’s not just an Alzheimer’s issue but rather quite systemic to lots of competitive fields in academia… There definitely needs to be guard rails. I think the sad thing with funding is… these days you have to be exceptionally good at grant writing to even have a chance of getting into the lottery, and it mostly feels like a lottery with success rates in the teens… and apparently no grant=no lab, no career for most ppl (seriously why are most PI roles soft money-funded anyway). Hard to not try and cut the corners if there’s so much pressure on the line

Not to mention, apparently even if you are a super ethical PI who wants to do nothing wrong, if the lab gets big enough, there might eventually be some unethical postdoc trying to make it big and falsify data (that you don’t have time to check) under your name so… how the hell do people guard against that.

I’m honestly impressed how science is still making progress with all of these random nonsense in the field

It’s definitely way more prevalent. There actually is this post from Retractionwatch just a few days ago too. This is kind-of a systematic issue induced by how scientific funding & the system works…

My current PI is actually co-mentoring a student who was studying scientific fraud, but the problem is… being a fraud researcher is apparently a really good way to alienate a lot of people, which ensures you never make it in academia (which is heavily dependent on networking/knowing people)… so I don’t know how many ppl would seriously study this.

I sure hope their recent heavy prosecution of the Invidious project isn’t related

I guess I forgot to take that into consideration… I’m not worried about Google banning my IP since I essentially don’t use any Google services at all and my home IP is hidden behind a wireguard tunnel, but yes that is a valid concern

But I mean someone can just spin it up on their home network so… No way 192.168.0.1:3000 can get someone into trouble right

The elites don’t want you to know but “[y]ou may be able to get Invidious working on residential IP addresses (like at home)”

Following their guide gives a local Invidious client, don’t forget to 1) copy their production compose file instead of using the one on git and 2) change “hmac_key”… from my experience setting up cron (crontab -e) to restart the docker container once per day keeps the Invidious docker healthy

Edit: here are some alternatives for popular Google services. Not in anyway related to the above (smirk

• Google itself: SearXNG (try searx.be first), one of the easiest services to self-host
• Gmail/calendar: a lot of people seem to swear by one of Proton Mail, Tutanota or Mailbox.org. Self-hosting is possible but challenging
• Google Drive: You mean Nextcloud?
• Google maps: Organic Maps is actually getting pretty good now
• Google Chrome: at the very least there is Chromium… obviously there is Firefox and Firefox forks (such as Librewolf), as well as other smaller browsers
• Google Play: F-Droid hosts a lot of FOSS stuff, and there are alternative ways to access Play (such as Aurora Store)
• Android: a bit more difficult… but there is LineageOS, GrapheneOS, and similar stuff