What is funny is that their "lead" is just because of inertia - they were the first to make an LLM publicly available. But they are no longer leaders so their attempts at getting more and more money only prove Altman's skills at convincing people to give him money.
They are still in the lead, and I'd be willing to bet that they have 10x the DAU on chat.com/chatgpt.com than all other providers combined. Barring massive innovation on small sub 10B models - we are all likely to need remote inference from large server farms for the foreseeable future. Even in the case that local inference is possible - it's unlikely it will be desirable from a power perspective in the next 3 years. I am not going to buy a 4xB200 instance for myself.
Whether they offer the best model or not may not matter if you need a PhD in <subject> to differentiate the response quality between LLMs.
Requiring that Gemini take over the job that Google Assistant did when installing the Gemini APK really rubbed me the wrong way. I get it. I just don't like that it was required for use.
Don't wanna be that typical hackernews guy but I couldnt resist... if your app is "quite complex" there is probably a way or ways you can break it down into much simpler parts. Easier for you AND the LLM. It always comes back to architecture and composition ;)
yeah but in business there are really only 2 skills right? Convincing people to give you money and giving them something back to them thats worth more than the money they gave you.
For repeated business you want to give them something that costs you less than what they pay, but is worth more to them than what they pay. Ie creating economic value.
