No phones can run "LLMs" currently because by definition, large.
Some Android phones however can and does run smaller models locally. Gemini Nano runs on Pixel 8 and can run on Samsung phones.
No phones can run "LLMs" currently because by definition, large.
Some Android phones however can and does run smaller models locally. Gemini Nano runs on Pixel 8 and can run on Samsung phones.
It's not a LLM, it's a much smaller model (~3B) which is closer to what Microsoft labels as a SLM (Small Language Models, e.g. MS Phi-3 Mini).
https://machinelearning.apple.com/research/introducing-apple-foundation-models
To be brutally honest, many times I see Reddit / Lemmy proclaim, "Product X is dead because it did Y" - these claims are usually followed by surges in revenue / stock performance by said company and soon no one really talks much about it. Example - Netflix Password crackdown.
Yes, again I'm not saying that's how it should be, I'm saying what is.
Enshittification won't be a thing if actual user experience matters as much as we like it to in business.
lol I don't. The earnings report is public.
Sure but Google Search has been crappy for many quarters.
I'm not saying thats how it should be, I'm just pointing out what is.
I get your point but from a business perspective Google is doing pretty well (see last quarterly earning and they announced dividends for the first time). It's good to be a shareholder and from that perspective the CEO is doing a good job.
Time and time again markets have shown, within reason, poor user experience and anti-consumer policies do not negatively impact stock price.
The head of Google Search
FTFY
Flight mode has been enabled.
YHOJ...
What I want to understand is whether or not that technology is creating more value.
I think the question to ask is value created for whom. Based on my personal and probably biased opinion, value is not created for the greater good but for the capital owners and shareholders.
And if so than more technology means more value which means we can eventually get to a place of so much societal surplus that we can reorchestrate soceity to enjoy the benefits of it.
Again, my opinion, but it's not in the DNA of a capitalistic society to have surpluses so someone will capture it and try to squeeze out more. So in the event of a seismic technology advancement, my dystopian view is that the poor will not reap much benefits, and instead of billionaires, we will have trillionaires.
So that's where my question is. If a company experiences a +30% efficiency boost due to technology, does soceity benefit from it?
I think if there is a counterbalance to capitalism and corporate greed then yes, some of that value will come back to society. Perhaps an improved medication at cost, better transit, emergency response technology... But if we leave it in the hands of capitalists they will enrich themselves very quickly.
There is a lot to unpack from your post. First of all, there is no doubt that technology in general adds value for the human race - like the another commenter said, foundational things like fire, tools all the way to the zipper and buttons you have on clothings, umbrellas you bring into the rain, the video chats you have with loved ones during COVID - those are all the fruits of technology.
But if you get down to the particulars, value can be very subjective. Some people value fancy new tech sneakers, primate NFTs whereas others value new computer vision technology or a new programming language. So are certain technologies adding value? Depends on who you ask.
As for who is capturing value in a capitalistic society, I think you already have the answer. Simply put, if your company operates at a 50% efficiency and you bump it up to 70% with tech and automation, rest assured that you are going to see job cuts to "become lean" and to "do less with more", followed by increased targets to produce more. You are not going to get more leisure time but instead be asked to push ahead until you hit the physical limit and break.
I do think it's a useful distinction considering open models can be more than 100B+ nowdays and GPT4 is rumored to be 1.7T params. Plus this class of models are far more likely to be on-device.