Earlier quoted context omitted.
I think Apple will last 100 years. See their latest AR product. They continue to create amazing products that are relevant to the masses.
I had the opposite impression on AR. A useless gimmick no sane people will use. Apple did good with the M processors though
OpenAI is too cheap to beat
351–360 of 426 posts
Re: OpenAI is too cheap to beat
#352The premise of this is flawed. OpenAI is cheap because of has to be right now. They need to establish market dominance quickly, before competitors slide in. The winner of this horse race is not going to be the company with the best performing AI, it’s going to be the one who does the best job at creating an outstanding UX, ubiquitously presence, entrenching users, and building competitive moats that are not feature d…
Possibly unrealistic, but my fear is that they will end up like Netflix more than uber. Some will scream in horror but I wanted Netflix to be a monopoly. A single place and app and account with all the content I need. "competition" in streaming space has been nothing but disastrous for me as a consumer. It led to greedy heterogeneous islands of content, with proliferation of crappy apps and pointless restrictions and…
If other vendors LLMs become good enough it will actually be easily to interchange and then the race for the best UX and integration will be upon us (which the other commenter alluded to).
Re: OpenAI is too cheap to beat
#353Earlier quoted context omitted.
But OpenAI appears to have some sort of data moat. I doubt their model is the best in the world, but more/better data generally beats better model, and GPT-4 definitely beats Claude, Bard, Bernie and the rest probably because they curated the best quality and largest data set. Maybe that moat doesn't last long but perhaps they have exclusive rights to some of that dataset through commercial agreements that could be a…
> But OpenAI appears to have some sort of data moat. I'm willing to bet dollars to doughnuts that Google and Facebook have at least one, possibly 2 or more orders of magnitude more latent training data to work with - not including Googles search index. My uninformed opinion is that Google and Meta's ML efforts are fragmented - with lots of serious effort going into increasing existing revenue streams with LLMs and th…
Re: OpenAI is too cheap to beat
#354The premise of this is flawed. OpenAI is cheap because of has to be right now. They need to establish market dominance quickly, before competitors slide in. The winner of this horse race is not going to be the company with the best performing AI, it’s going to be the one who does the best job at creating an outstanding UX, ubiquitously presence, entrenching users, and building competitive moats that are not feature d…
The winner is going to be the consumers of AI. It's a race to the bottom on pricing on the provider/infra side. It seems very unlikely that any single LLM provider will achieve a sustained and durable advantage enough to achieve large margins on their product. Consumers can swap between providers with relative ease, and there is very little stickiness to these LLM APIs, since the interfaces are general and operate on…
Re: OpenAI is too cheap to beat
#355Earlier quoted context omitted.
I use Uber in SF all the time, and while it's absolutely more expensive than it was during those go-go years, it's actually an even better experience than it was before (specifically on how fast it is to get a driver near you).
You must be experiencing another SF than me...
Re: OpenAI is too cheap to beat
#356Earlier quoted context omitted.
But OpenAI appears to have some sort of data moat. I doubt their model is the best in the world, but more/better data generally beats better model, and GPT-4 definitely beats Claude, Bard, Bernie and the rest probably because they curated the best quality and largest data set. Maybe that moat doesn't last long but perhaps they have exclusive rights to some of that dataset through commercial agreements that could be a…
> But OpenAI appears to have some sort of data moat. I'm willing to bet dollars to doughnuts that Google and Facebook have at least one, possibly 2 or more orders of magnitude more latent training data to work with - not including Googles search index. My uninformed opinion is that Google and Meta's ML efforts are fragmented - with lots of serious effort going into increasing existing revenue streams with LLMs and th…
Re: OpenAI is too cheap to beat
#357Earlier quoted context omitted.
You might be forgetting the cost to train a 1.8T model.
The cost is peanuts compared to the potential profit. Apple/Google/Facebook could absolutely eat the costs for a skunkworks project to do that training and just sit quietly waiting on the yes/no from legal.
Re: OpenAI is too cheap to beat
#358Earlier quoted context omitted.
> you should probably just be using the best that's available (OpenAI). Sure, if you want to let a monopoly have all the added value while you get to keep the rest you can do that. Just make sure you're never successful enough to inspire them though, otherwise you're dead the next minute. Oops.
5k monthly revenue (or even 100k) isn't big enough for OpenAI to care. It's barely big enough for a competitor to care. I suspect that OpenAI doesn't have the bandwidth to build most uses of ai and so is in the bill gates platform land: the ecosystem should be pocketing more money than the owner of the platform is.
Re: OpenAI is too cheap to beat
#359Earlier quoted context omitted.
I said I'd have to change that one managed resource. Actually it's two - the managed database. But no more.
> I said I'd have to change that one managed resource. Actually it's two - the managed database. But no more. As someone who worked on a similar project recently, I'm getting that idea that you obviously don't know what you're talking about.
You need to plan ahead, sure. Portability was one of my main concerns (including the possibility to go self-hosted). But it's definitely not impossible, nor too hard to do.
Re: OpenAI is too cheap to beat
#360Earlier quoted context omitted.
Isn't it very expensive to do this? Don't you need a jacked up PC with multiple expensive NVidia cards?
A jacked up PC can do really well and there is much fun to be had there. ...but you'd struggle to get close to even GPT 3.5 let alone 4 for generic tasks. For custom tunes...yeah sure custom rolls will beat generic openAI. But that's a bit like pitting customed tuned cars against street legal manufacturer cars. It's an apple to oranges comparison
But tasks are only generic in the aggregate, and with local models you can hand-off between different models for different tasks.