zlacker

>>staran+(OP)
So, Ilya is out of the board, but Adam is still on it. I know this will raise some eyebrows but whatever.

Still though, this isn't something that will just go away with Sam back. OAI will undergo serious changes now that Sam has shown himself to be irreplaceable. Future will tell but in the long terms, I doubt we will see OAI as one of the megacorps like Facebook or Uber. They lost the trust.

>>tomohe+V
The OpenAI of the past, that dabbled in random AI stuff (remember their DotA 2 bot?), is gone.

OpenAI is now just a vehicle to commercialize their LLM - and everything is subservient to that goal. Discover a major flaw in GPT4? You shut your mouth. Doesn’t matter if society at large suffers for it.

Altman's/Microsoft’s takeover of the former non-profit is now complete.

Edit: Let this be a lesson to us all. Just because something claims to be non-profit doesn't mean it will always remain that way. With enough political maneuvering and money, a megacorp can takeover almost any organization. Non-profit status and whatever the organization's charter says is temporary.

>>Terrif+D2
> now just a vehicle to commercialize their LLM

I mean it is what they want isn't it. They did some random stuff like, playing dota2 or robot arms, even the Dalle stuff. Now they finally find that one golden goose, of course they are going to keep it.

I don't think the company has changed at all. It succeeded after all.

>>karmas+L4
There's no moat in giant LLMs. Anyone on a long enough timeline can scrape/digitize 99.9X% of all human knowledge and build an LLM or LXX from it. Monetizing that idea and staying the market leader over a period longer than 10 years will take a herculean amount of effort. Facebook releasing similar models for free definitely took the wind out of their sails, even a tiny bit; right now the moat is access to A100 boards. That will change as eventually even the Raspberry Pi 9 will have LLM capabilities

>>hadloc+vd
OpenAI (ChatGPT) is already a HUGE brand all around the world. No doubt they're the most valuable startup in the AI space. That's their moat.

Unfortunately, in the past few days, the only thing they've accomplished is significantly damaging their brand.

>>morale+Oe
Branding counts for a lot, but LLM are already a commodity. As soon as someone releases an LLM equivalent to GPT4 or GPT5, most cloud providers will offer it locally for a fraction of what openAI is charging, and the heaviest users will simply self-host. Go look at the company Docker. I can build a container on almost any device with a prompt these days using open source tooling. The company (or brand, at this point?) offers "professional services" I suppose but who is paying for it? Or go look at Redis or Elasti-anything. Or memcached. Or postgres. Or whatever. Industrial-grade underpinnings of the internet, but it's all just commodity stuff you can lease from any cloud provider.

It doesn't matter if OpenAI or AWS or GCP encoded the entire works of Shakespeare in their LLM, they can all write/complete a valid limerick about "There once was a man from Nantucket".

I seriously doubt AWS is going to license OpenAI's technology when they can just copy the functionality, royalty free, and charge users for it. Maybe they will? But I doubt it. To the end user it's just another locally hosted API. Like DNS.

>>hadloc+Oi
> offer it locally for a fraction of what openAI is charging

I thought the was a somewhat clear agreement that openAI is currently running inference at a loss?

>>worlds+CP
Moore's law seems to have failed on CPUs finally, but we've seen the pattern over and over. LLM specific hardware will undoubtedly bring down the cost. $10,000 A100 GPU will not be the last GPU NVidia ever makes, nor will their competitors stand by and let them hold the market hostage.

Quake and Counter-Strike in the 1990s ran like garbage in software-rendering mode. I remember having to run Counter-Strike on my Pentium 90 at the lowest resolution, and then disable upscaling to get 15fps, and even then smoke grenades and other effects would drop the framerate into the single digits. Almost two years after Quake's release did dedicated 3d video cards (voodoo 1 and 2 were accelerators, depended on a seperate 2d VGA graphics card to feed it) begin to hit the market.

Nowadays you can run those games (and their sequels) in the thousands (tens of thousands?) of frames per second on a top end modern card. I would imagine similar events with hardware will transpire with LLM. OpenAI is already prototyping their own hardware to train and run LLMs. I would imagine NVidia hasn't been sitting on their hands either.