

Sidebar, that is absolutely not a horse look of suspicion or distrust. That is a horse look of “hmmm what delicious delectable do we have here”.


Sidebar, that is absolutely not a horse look of suspicion or distrust. That is a horse look of “hmmm what delicious delectable do we have here”.


I don’t think anyone is assuming it will stay at its current efficiency and there will be zero improvements. A lot of the everyday AI use cases will likely be pushed to someone’s personal device aka your phone. In the same way a lot of Uber and Spotify is handled by your personal device today. What we’ve seen for years now is the development of these gargantuan models that are then condensed down into much smaller models with 90%+ of the same effectiveness. Simultaneously we will see and are seeing devices sold with better NPU’s for edge compute for AI the same we’ve seen the push for more edge compute to manage other services such as Uber and Spotify.
Across this thread and others there’s like this implicit assumption AI will never progress beyond where it is right now in spite of the evidence of its almost exponential growth. It’s really interesting.


Got anything besides my quotes to give your argument credibility?


I’m pretty sure a lot of them don’t know the difference or understand how mind breaking it is that some of these achievements are happening. Of course alpha fold is old news and the solutions to the Erods problems is something that should be raising eyebrows. These models are fundamentally just math and a model that’s better than humans at math can theoretically design a stronger model than us.


Looks like a bad case of overpowered firecrackers.
Also what is the situation with pain, like it’s harmful for people to take too many pain meds and it’s harmful to not give someone enough. Seems like a tricky problem with few ways to get it right and too many ways to get it wrong.
What’s their date format? Or they don’t use the same calendar?


Yeah I guess one could do Tor over a VPN and that would do the trick.


As a programmer I can assure you there were plenty of bugs before AI and not all bugs now are AI caused. That said yeah we’re in the awkward teen years of AI. From 2015 to 2020 was like the baby years and people going “omg that’s amazing” and right now we’re in the “I hate everything and everyone” phase and it will emerge into either “omg the world is ending” or “this is utopia” or “alright thing is damn useful for good and bad endeavours”.
If you’re outside the US it’s next month.


It’s kinda stolen from characters like Thich Nhat Hanh, Ram Dass, and Pema Chodron who themselves found it from yet someone else and so on. I’m giving your video a watch and here’s one in return


I don’t think the bunkers are to avoid bad financial decisions, more so to stave off something like rogue ASI or a biosphere collapse which in any circumstance won’t work in the long-run.


I’m still pretty new to Lemmy and the fediverse although I really enjoy it. I’ve noticed some strong dislike of anything and everything AI to the point I think it’s clouding some peoples ability to really see the situation at hand. That said I get a lot of people skepticism, a lot of AI projects are nonsense and things have been over promised. On top of that there’s the more than problematic issue of data centers and the environment. I think people don’t fully grasp how insane some of the achievements of neural nets are, how fast it’s developing, that having models that pretty much pass the Turing test was pure sci-fi just a few years ago, much less are solving legitimate mathematical conjectures as well as other hard problems in science.


Many applications are suboptimal to say the least but what’s been done with alpha fold and recently in mathematics is very far from a scam. Not to bring up what’s also been accomplished in cyber security. These models are proving open problems that have been around for decades and finding serious vulnerabilities. The issue is consistency and efficiency. Of course the other issue in making them stronger is continual learning and long horizon planning. I think too much investment came in too quickly and what is provided to the masses currently isn’t consistent or efficient enough. That said as a math and comp sci grad and someone who works in the field it’s been absolutely mind blowing to watch what’s already been done. In 2010 the concept of an artificial mind solving something like the Erdős unit distance conjecture would have been seen as pure sci-fi, maybe something we would achieve closer to 2100 than 2026.
For reference, it took Uber about 17 years to become profitable and Spotify 18. They were hemorrhaging cash for over a decade and a half before finally hitting their stride. As for the current AI development it’s honestly from 2017 when the white paper on transformers came out where shit started getting serious, so it’s been about 9 years since investors were serious. Before that point it was all passion projects, absolute moon shots as they call them.


Add some USB dead drops here and there like little geocaches. Maybe add some offline Wikipedia backups and other Zim files with a kiwix server. You could manage text, a file server, some web pages, possibly voip and maybe video calls. Sounds like a good time. What’s it called, meshtastic? I have some vague experience / knowledge but never set it up.
Depending on terrain and population density you might be able to cover a large area. I’ve seen small scale implementations for highly urban areas using Bluetooth.


Not long now until biometric login becomes necessary to access the human only part of the internet.


This feels like a reference.
Maybe they’re doing the same?
Retarfed (≧▽≦)


Personally my goal is to decrease needless and avoidable suffering for all minds whenever and wherever possible. Not all suffering is needless, like exercise or surgery. Some forms of suffering allow us to come closer to wellbeing mentally and physically.
And when you’ve been duped by a handful of junkies looking for a fix, who should probably get an Oscar for their performance? In poorer places they are very minimal with resources because of the cost. In places like the US you have tight regulations after the opioid epidemic. I imagine in places with primary socialized medicine it’s controlled for both reasons.