- cross-posted to:
- [email protected]
- cross-posted to:
- [email protected]
cross-posted from: https://lemmy.blahaj.zone/post/46317662
This article on what Google claims it has done/will do with its AI is extraordinary for all the wrong reasons.
Here’s a sample:
We’ve made extraordinary progress to deliver on our full AI stack.
What ‘stack’? All you have is Gemini which can’t remember what it said yesterday, can’t open a spreadsheet, can’t even get a frickin’ Family Guy quote right!
the Gemini app reached 950M monthly users
Wow! What a way to scam people out of money and data.
At the same time, there’s never been a more important moment to shape the future of AGI and science
Oh boy, where to start with how wrong this one is…
And that’s only a sample of the content of this ludicrous thing…



Yes: stop using AI. That’s the simplest fix. What the hell do you use AI for whilst frickin’ driving? (Not having a go, just can’t wrap my head around it)
Is Assistant AI? I thought it pre-dated that. I use it for navigation and replying to messages so I don’t get distracted or have to pull over all the time.
There is voice recognition tech available that doesn’t really on AI (but hurry, because soon it won’t not contain AI)
I’ll look into that. I wish they would stop inserting AI into everything.
Here’s how I feel 👇
I hear you
You need to be more precise. Assistant was using traditional voice recognition technology, which is “AI” but has been around a lot longer than LLMs have and doesn’t have any of the same problems. It’s tried and true.
Voice controls have long been a beneficial technology both for navigating hands-free as well as an assistive technology.
AI is an entire field of computer science, and purpose-built models have many practical applications and are much, much better than shoehorning everything under the sun into generative language models.
The primary issue of LLMs is everyone trying to use it for things it was never intended to do. They are a decent model of human language, and can produce text that is a reasonable facsimile of text a human might produce. Not semantically, but in form. They are not a search engine or source of knowledge or reasoning, as so many try to use them.
But despite this mismatch, AI companies just try to brute force the problem away with scale by creating astoundingly massive models from all of the data on the internet in an attempt to encode “knowledge” present on the internet in a very incidental way. This makes for something that can sometimes incidentally produce that encoded information, which fools people into thinking it’s “intelligent”, when it is, of course, anything but. It’s a very roundabout and unreliable way of doing things, which is why it’s so incredibly dumb that people have lost their fucking minds over it.
Absolutely the foundation of this and all of my other posts.
I get your point about needing to be more specific; I was actually referring to pre-LLM ‘AI’ which isn’t really AI, and even that is not perfect but is certainly preferable to modern LLMs/AGI