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.
BetaDoggo_
joined 1 year ago
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.
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Most of this seems true (or was at the time) but this is outdated now.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?
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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.