studies were done and found similar to what you’re saying.
also the secret listening does not comport with any of the business side of profile marketing, either. So it would have to be an incredibly well kept secret on top of all of that.
Wouldn’t you just take issue with whatever the new name for it was instead? “Calling it pattern recognition is snake oil, it has no cognition” etc
what would they have to produce to not be snake oil?
Can you name a company who has produced an LLM that doesn’t refer to it generally as part of “AI”?
can you name a company who produces AI tools that doesn’t have an LLM as part of its “AI” suite of tools?
What are you talking about? I read the papers published in mathematical and scientific journals and summarize the results in a newsletter. As long as you know equivalent undergrad statistics, calculus and algebra anyone can read them, you don’t need a qualification, you could just Google each term you’re unfamiliar with.
While I understand your objection to the nomenclature, in this particular context all major AI-production houses including those only using them as internal tools to achieve other outcomes (e.g. NVIDIA) count LLMs as part of their AI collateral.
I’ve been working on an internal project for my job - a quarterly report on the most bleeding edge use cases of AI, and the stuff achieved is genuinely really impressive.
So why is the AI at the top end amazing yet everything we use is a piece of literal shit?
The answer is the chatbot. If you have the technical nous to program machine learning tools it can accomplish truly stunning processes at speeds not seen before.
If you don’t know how to do - for eg - a Fourier transform - you lack the skills to use the tools effectively. That’s no one’s fault, not everyone needs that knowledge, but it does explain the gap between promise and delivery. It can only help you do what you already know how to do faster.
Same for coding, if you understand what your code does, it’s a helpful tool for unsticking part of a problem, it can’t write the whole thing from scratch
that might be more the advertiser needs to update their negs list
well actually I’ve taken to calling it “GNU+Linux”
I mean based on 15,16 and 7R+ - this is what FF is now.
I dont fault that really, saying good things when a company does good things is fairly normal, as is working for a company that doesnt do good things but you’ve got to have a job.
Waste is how you frame it.
Even literal poop has a benefit.
I do client work, sometimes it drives me mad how much time I “waste” making PPT slides that are just prettier BI dashboards, but then the client sees it, sends that one slide to his boss and everyone claps me on the back.
Mexico is a big country, Google has shareholders who demand line goes up, people use maps to advertise (“map pack” “local SEO” and brand tie-ins)…
it’s a tricky question, arguably there are more people on this planet that call countries by their Mandarin name, followed by their Spanish name, followed by their English name, than the name in the native language.
De Guo > Alemania > Germany > Deutschland for example
They finally did it, the crazy sonnuva bitches finally reached you about your cars extended warranty.
1/6887 is not good odds.
literally one hour ago you used the same grammatical synecdoche of inferring a subset of the group by referring to the group noun demonym:
https://thebrainbin.org/m/reddit@lemmy.world/t/550486/-/comment/4749901
it has the GitHub change log in the article, so yes they did have the skill set and accounts, made the changes and posted the receipts
(?!?!?!?)
if you have a soup of all liquids and a sieve that only lets coffee and ice cream through it produces coffee ice cream (metaphor, don’t think too hard about it)
that’s how gen ai works. each step sieves out raw data to get closer to the prompt.