BetaDoggo_

joined 1 year ago
[–] [email protected] 55 points 2 days ago (1 children)

Of course it was political retribution and not the whole unregistered securities and gambling market thing.

[–] [email protected] 23 points 1 week ago (1 children)

More sympathy for squirrels than human beings

[–] [email protected] 12 points 2 weeks ago (1 children)

Anthropic released an api for the same thing last week.

[–] [email protected] 11 points 1 month ago

Every credible wiki has moved away from fandom at this point. All that's left is the abandoned shells of the former wikis they refuse to delete and kids who don't know better.

[–] [email protected] 2 points 1 month ago

We're Costco guys

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

I'd guess the 3 key staff members leaving all at once without notice had something to do with it.

[–] [email protected] 133 points 2 months ago

This is actually pretty smart because it switches the context of the action. Most intermediate users avoid clicking random executables by instinct but this is different enough that it doesn't immediately trigger that association and response.

[–] [email protected] 27 points 2 months ago* (last edited 2 months ago) (2 children)

All signs point to this being a finetune of gpt4o with additional chain of thought steps before the final answer. It has exactly the same pitfalls as the existing model (9.11>9.8 tokenization error, failing simple riddles, being unable to assert that the user is wrong, etc.). It's still a transformer and it's still next token prediction. They hide the thought steps to mask this fact and to prevent others from benefiting from all of the finetuning data they paid for.

[–] [email protected] 5 points 2 months ago

The role of biodegradable materials in the next generation of Saw traps

[–] [email protected] 25 points 2 months ago (7 children)

It's cool but it's more or less just a party trick.

[–] [email protected] 22 points 2 months ago* (last edited 2 months ago) (1 children)

How many times is this same article going to be written? Model collapse from synthetic data is not a concern at any scale when human data is in the mix. We have entire series of models now trained with mostly synthetic data: https://huggingface.co/docs/transformers/main/model_doc/phi3. When using entirely unassisted outputs error accumulates with each generation but this isn't a concern in any real scenarios.

 

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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