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OpenAI's GPT Trademark Request Has Been Denied (tsdr.uspto.gov)

submitted 9 months ago by [email protected] to c/[email protected]

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First, applicant argues that the mark is not merely descriptive because consumers will not immediately understand what the underlying wording "generative pre-trained transformer" means. The trademark examining attorney is not convinced. The previously and presently attached Internet evidence demonstrates the extensive and pervasive use in applicant's software industry of the acronym "GPT" in connection with software that features similar AI technology with ask and answer functions based on pre-trained data sets; the fact that consumers may not know the underlying words of the acronym does not alter the fact that relevant purchasers are adapted to recognizing that the term "GPT" is commonly used in connection with software to identify a particular type of software that features this AI ask and answer technology. Accordingly, this argument is not persuasive.

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[–] [email protected] 53 points 9 months ago* (last edited 9 months ago) (9 children)

Putting aside the merits of trying to trademark gpt, which like the examiner says is commonly used term for a specific type of AI (there are other open source "gpt" models that have nothing to do with OpenAI), I just wanted to take a moment to appreciate how incredibly bad OpenAI is at naming things. Google has Bard and now Gemini.Microsoft has copilot. Anthropic has Claude (which does sound like the name of an idiot, so not a great example). Voice assistants were Google Assistant, Alexa, seri, and Bixby.

Then openai is like ChatGPT. Rolls right off the tounge, so easy to remember, definitely feels like a personable assistant. And then they follow that up with custom "GPTs", which is not only an unfriendly name, but also confusing. If I try to use ChatGPT to help me make a GPT it gets confused and we end up in a "who's on first" style standoff. I've reported to just forcing ChatGPT to do a websearch for "custom GPT" so I don't have to explain the concept to it each time.

[–] [email protected] 4 points 9 months ago (1 children)

You can't really say any GPT model has nothing to do with OpenAI. They invented the architecture. But the name GPT predates their commercial products using the technology.

[–] [email protected] 3 points 9 months ago (1 children)

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.

[–] [email protected] 2 points 9 months ago

The attention paper from Google introduced transformers, OpenAI introduced generative pretraining as a technique that allows transformers to achieve very good performance on downstream tasks with very little additional fine tuning. This paper and the subsequent release of the pretrained GPT models directly lead to the LLM boom.

https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf

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