These idiots need to stop with LLM and create more specific machine learning algorithms. Like language translations, program writing get them good at that specific thing. Use those algorithms to train new ones.
The way they are building it is they poured a massive slab of concrete and refusing to make releif cuts. Over time the stresses cause breaks then shit gets under it and causes a mess. Build a good foundation, don't jump to the final fucking stage
The modern tech industry is all about building products that generate hype to impress the shareholders. Building good functional products to impress the consumer isn't necessary if you can simply put on a flashy show for the geriatric billionaires.
Maybe because we're all getting really tired of industry propaganda designed to sell us on the "inevitability" of genAI when anyone who's paying even a little attention can see that the only thing inevitable about this current genAI fad is it crashing and burning.
(Even when content like this comes from a place of sincere interest, it becomes functionally indistinguishable from the industry propaganda, because the primary goal of the propagandists is to keep genAI in the public conversation, thus convincing their investors that its still the hottest thing around, and that they should keep shoveling money into it so that they don't miss the boat).
OpenAI, the company behind that giant bubble in the middle there, loses two dollars and thirty five cents for every dollar of revenue. Not profit. Revenue. Every interaction with ChatGPT costs them a ridiculous amount of money, and the percentage of users willing to actually pay for those interactions is unbelievably small. Their enterprise sales are even smaller. They are burning money at an absolutely staggering pace, and that's with the deeply discounted rate they currently get on their compute costs.
No one has proposed anything that will lower their backend costs to the point where this model is profitable, and even doubling prices (which is their current plan) will not make them profitable either. Literally not one person at OpenAI has put forth a concrete plan for the company to reach profitability. And that's the biggest player in the game. If the most successful genAI company on the planet can't figure out a way to actually make profit off this thing, it's dead. Not just OpenAI; the whole idea.
The numbers don't lie; users, at best, find it moderately interesting and fun to play around with for a while. Barely anyone wants this, and absolutely nobody needs it. Not one single genAI product has created a meaningful use-case that would justify the staggering cost of building and running a transformer based model. The entire industry is just a party trick that's massively overstayed it's welcome.
I mean, fuck the profitability. What about its massive toll on our already crumbling climate? What about its hallucinations that were told by the massively powerful companies (currently, anyway) to just not worry about? What about the promise of it “revolutionizing” industries (corporate speak for fucking workers in new and exciting ways), what about the paradigm solidifying nature of this tech that they keep lying to us about being a democratizing super tool?
Everything about this shit is trouble because of the world it was built into. This type of tech (even though most of its capabilities and uses are lies) in the hands of the people it’s in will only serve the rich and gobble up resources when we need to be scaling back our consumption. Instead, that endless investment is fueling our climate collapse.
Fuck this LLM bullshit. It’s not for us. It will only hurt us in this timeline.
It's really not. It's a fad like zip disks or ewaste recycling. Only it's even more expensive while reducing productivity and quality of work everywhere it's implemented, all for the vague hope it eventually might get better.
Microsoft Copilot integrates OpenAI's technology like GPT-4, but it is not exactly the same as ChatGPT. Copilot is designed to integrate AI into specific productivity tools like Microsoft Word, Excel, PowerPoint, and other Microsoft 365 apps. It also seems to have different system prompts and fine tuning which leads to different answers and styles.