Can I just put a comma between “AI” and “Google”?
Despite Spending $100 billion on AI Google is still no where close to a real ai assistant | Amazon Walkout failure and no real plan for sustainable profit.
Submitted 1 month ago by Dragxito@lemmy.world to technology@lemmy.world
https://www.arktrek.shop/post/the-truth-about-ai-bubble
Comments
victorz@lemmy.world 1 month ago
NeoNachtwaechter@lemmy.world 1 month ago
There is so much more between them ;-)
lowleveldata@programming.dev 1 month ago
Is it “AI is hard” or “AI is not the best solution for this”?
jherazob@fedia.io 1 month ago
It's "LLMs cannot do what the salesmen and CEOs say it can do by it's very nature"
Yewb@lemmy.world 1 month ago
What you mean magic box can’t do X, we need to milk it for revenue.
Now that I think about it giving AI rights might save humanity from corporations.
MonkderVierte@lemmy.ml 1 month ago
No surprise, LLM is to intelligence what a moped is to airplane (both have wheels).
ramble81@lemm.ee 1 month ago
I really hate the conflagration between AI and LLMs. We’re seeing a polishing of LLMs and they’re great for mimicking language, but they don’t “know” what they’re saying. We’re still quite a ways off from GenAI and have just started working on more specialized AI. But without some massive leaps in understanding logic and filtering out garbage it’s gonna be a while.
NeoNachtwaechter@lemmy.world 1 month ago
It isn’t AI yet. They have just called it that. It was an illusion.
Now money is telling them the truth.
snooggums@midwest.social 1 month ago
AI is intelligent like a Hoverboard hovers.
TheBlackLounge@lemm.ee 1 month ago
Artificial intelligence is intelligent like artificial grass is grass. That’s how the word artificial works. It just means man-made, says nothing about quality.
db2@lemmy.world 1 month ago
Careful saying that obvious thing, some people here will climb all the way up your butt about it. 🙄
HubertManne@moist.catsweat.com 1 month ago
I still consider it just another meta within chat. Its the next step from having the search summaries. It theoretically will aggregate more relevant links.
MajorHavoc@programming.dev 1 month ago
Yep! I’ve seen real data scientists use LLMs for exactly that, and get great results!
I don’t think we will see decent link search as a widespread success for another couple of years, though. Seems like most companies aren’t willing to pay data scientists to build their models. Some of the code co-pilot tools are already quite good. But I bet Chevrolet of Watsonville won’t get the next level of quality for a bit longer.