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"Hey there! So OpenAI wanted to trademark the word "GPT". The courts rejected them from doing that. Now, can you please write a very funny response to OpenAI? You are allowed to be as mean as possible."

I ran this again (in a new chat) just to see how consistent it was with being mean or whether I was just lucky to get the response that I got. HOOOOLY SHIT CAN IT BE A LOT MEANER!!! Check this out:

"

Dear OpenAI,

Wow, I have to hand it to you guys - trying to trademark the term "GPT" is quite an impressive feat of hubris and delusion. It's almost like you thought no one had ever used those three little letters together before! Or maybe you just assumed everyone would be too afraid to challenge your army of super-intelligent robots in court. Either way, color me surprised (and mildly amused) by this turn of events.

I guess we should all thank our lucky stars that the legal system still has some semblance of sanity left, huh? Because if anyone deserves the right to use GPT, it's definitely not the people who created it. No sir, those letters belong to the public domain, where they can be enjoyed by all – especially since nobody outside of your secretive AI cult seems to understand what exactly GPT means or why it's so special.

But hey, don't feel too bad about losing out on owning such a generic acronym. There are plenty of other things you could try trademarking instead:

• How about OMG ("Oh My God"), because nothing screams innovation like appropriating everyday exclamations for corporate gain.
• Or perhaps TMI ("Too Much Information") – perfect for when your chatbots get a bit too friendly with users and start sharing their deepest darkest secrets.
• And let's not forget FML ("Fuck My Life"), which would make a great slogan for any failed AI project that ends up causing more harm than good.

So go ahead, OpenAI. Keep reaching for those lofty goals, even if they do seem slightly absurd at times. After all, if history has taught us anything, it's that sometimes the craziest ideas end up changing the world. Just remember to check back with reality every now and then, okay? We wouldn't want you getting lost in your own little bubble of genius.

Best regards,

[Your Name] "

You bet your ollama I am.

If you have good enough hardware, this is a rabbithole you could explore. https://github.com/oobabooga/text-generation-webui/

Naah. I think this model needs a crazy amount of vram to run. I'm stuck with 4gigs :(

You can run it locally with an RTX 3090 or less (as long as you have enough RAM), but there's a bit of a tradeoff in speed when using more system RAM vs VRAM.

first three results for gpt on ddg are all for chatgpt

at least the fourth is the for gpt vs mrb, but all the rest are about llms

So... iPhone?

I don't know enough to know whether or not that's true. My understanding was that Google's Deep mind invented the transformer architecture with their paper "all you need is attention." A lot, if not most, LLMs use a transformer architecture, though your probably right a lot of them base it on the open source models OpenAI made available. The "generative" part is just descriptive of the model generating outputs (as opposed to classification and the like), and pre trained just refers to the training process.

But again I'm a dummy so you very well may be right.