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Joined 5 days ago
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Cake day: June 3rd, 2026

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  • 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.











  • 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.