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.
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.
The role of biodegradable materials in the next generation of Saw traps
It's cool but it's more or less just a party trick.
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.
Based on the pricing they're probably betting most users won't use it. The cheapest api pricing for flux dev is 40 images per dollar, or about 10 images a day spending $8 a month. With pro they would get half that. This is before considering the cost of the language model.
About a dozen methods they could use https://arxiv.org/pdf/2312.07913v2
New record for most buzz words in a headline.
Most of this seems true (or was at the time) but this is outdated now. Mr. Beast is no longer managed by Night Media.
I feel like they should at least provide them with a laptop If they're going to do unpaid promotion.
The animation is flashy but the plot and storytelling can't even compare to the game.
Is that why there are fewer porn bots now?
She immigrated when she was 15, 30 years before she made the Queen of Canada claim. You can't deport someone after 30 years of citizenship for mental illness.
What's the deal with Alpine not using GNU? Is it a technical or ideological thing? Or is it another "because we can" type distro?
The model does have a lot of advantages over sdxl with the right prompting, but it seems to fall apart in prompts with more complex anatomy. Hopefully the community can fix it up once we have working trainers.
On Discord, the black hole for useful information.
"Tiny shards" probably isn't the right term to describe particles 20-200 nanometers wide, but this is probably bad nonetheless.
The names missing from the list say more about the board's purpose than the names on it.
I assumed this was always the case
The main issue here is user knowledge and consent. Otherwise this isn't a whole lot different from services like vast.ai offering on demand GPU rentals or the KoboldAI Horde. Based on the incentives offered it's clear that they're targeting younger or less savvy users which is a problem.
> 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.