BetaDoggo_
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.
Most of this seems true (or was at the time) but this is outdated now. Mr. Beast is no longer managed by Night Media.
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.
More sympathy for squirrels than human beings
It’s cool but it’s more or less just a party trick.
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.
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?
I feel like they should at least provide them with a laptop If they’re going to do unpaid promotion.
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.