> Kinito Pet now playable

How the fuck is that gonna work

I'm pretty sure China's CO2 emissions are dropping at such a rate they'll drop below the US's within 10 years.

They do not need to be stopped.

I don't know if thinking that training data isn't going to be more and more poisoned by unsupervised training data from this point on counts as "in practice"

Looking forward to when Europe and China also launch their own satellite internet constellations

The key is to get one where you can widen the spray and squeegee everything off.

You should play voices of the void then. Game is chock full of random spooks with lots of very quiet and relaxing downtime, so they hit pretty hard when they happen.

I like using it like a rubber ducky. I even have it respond almost entirely in quacks.

Note: it's a local model running for free. Don't pay anyone for this slop.

“When asked about buggy AI, a common refrain is ‘it is not my code,’ meaning they feel less accountable because they didn’t write it.”

That's... That's so fucking cool...

Main issue is drivers. One of the best places to take advantage of rust's memory safety is in hardware drivers, and those would be hard to share between separate kernels.

That entire talk, and the complaint that Ts'o responded to was that to continue with rust, there needs to be some responsibility from the guys working on the underlying C bindings to not break downstream dependencies if they refactor code.

The answer from some of the Kernel developers, and vocally by Ts'o was: lol no fuck you and your toy language.

You said open source. Open source is a type of licensure.

The entire point of licensure is legal pedantry.

And as far as your metaphor is concerned, pre-trained models are closer to pre-compiled binaries, which are expressly not considered Open Source according to the OSD.

From the approach section:

A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets.

This is not sufficient data information to recreate the model.

From the training data section:

The models are trained on 680,000 hours of audio and the corresponding transcripts collected from the internet. 65% of this data (or 438,000 hours) represents English-language audio and matched English transcripts, roughly 18% (or 126,000 hours) represents non-English audio and English transcripts, while the final 17% (or 117,000 hours) represents non-English audio and the corresponding transcript. This non-English data represents 98 different languages. As discussed in the accompanying paper, we see that performance on transcription in a given language is directly correlated with the amount of training data we employ in that language.

This is also insufficient data information and links to the paper itself for that data information.

Additionally, model cards =/= data cards. It's an important distinction in AI training.

There are guides on how to Finetune the model yourself: https://huggingface.co/blog/fine-tune-whisper

Fine-tuning is not re-creating the model. This is an important distinction.

The OSAID has a pretty simple checklist for the OSAID definition: https://opensource.org/deepdive/drafts/the-open-source-ai-definition-checklist-draft-v-0-0-9

To go through the list of materials required to fit the OSAID:

Datasets Available under OSD-compliant license

Whisper does not provide the datasets.

Research paper Available under OSD-compliant license

The research paper is available, but does not fit an OSD-compliant license.

Technical report Available under OSD-compliant license

Whisper does not provide the technical report.

Data card Available under OSD-compliant license

Whisper provides the model card, but not the data card.

Oh and for the OSAID part, the only issue stopping Whisper from being considered open source as per the OSAID is that the information on the training data is published through arxiv, so using the data as written could present licensing issues.