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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)BE
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2 yr. ago

  • Clearly an article written to fit a headline rather than the other way around. They talk about use in education settings as a sign that the use cases are limited, despite accounting for only a 12% increase.

    In other news, pencil use is up 100% in the last month, signaling that pencils have limited use cases and are only good for cheating on homework.

  • If retroarch is too much you can try Lemuroid. Lemuroid is a much simpler emulation app with a more straightforward GUI. It doesn't come anywhere near the features or number of cores of retroarch but it supports most common retro systems.

  • This seems like the case. One of the first stanzas:

    Hunter, initially a extremely regarded highschool basketball participant in Cincinnati, achieved vital success as a ahead for the Bobcats.

    Language models are text prediction machines. None of this text is predictable and it contains basic grammatical errors that even small models will almost never make.

  • As far as I know the fastest charging over lightning even now is 20 Watts which is far too slow for a laptop with a large battery. I suspect that they couldn't use lightning on the macbooks for that reason.

    If their intention was to limit waste then they wouldn't have continued to produce lightning accessories if the plan was to transition in just a few years

  • They first started using USB c on the macbooks in 2015. There's no way that it took 8 years to get it ready for the iPhone. In that time they've also released several other devices and accessories which have used lightning.

    To me this doesn't point to a planned gradual shift over to USB c but one that was forced by neccesity on the macbook then by regulation on the iPhone.

  • That all sounds pointless. Why would we want to use something built on top of a system that's constantly changing for no good reason?

    Unless the accuracy can be guaranteed at 100% this theoretical will never make sense because you will ultimately end up with a system that could fail at any time for any number of reasons. Predictive models cannot be used in place of consistent, human verified and tested code.

    For operating systems I can maybe see llms being used to script custom actions requested by users(with appropriate guard rails), but not much beyond that.

    It's possible that we will have large software entirely written by machines in the future, but what it will be written with will not in any way resemble any architecture that currently exists.

  • OpenAI hasn't been focused on the science since the Microsoft investment. A science focused company doesn't release a technical report that doesn't contain any of the specs of the model they're reporting on.

  • You can already do that with over fitting or getting lucky with duplicates in the dataset(<6*10^-5% chance for stable diffusion). The resulting work is still protected under the original creator's copyright because it's almost identical. Same way that if you photocopy an image it doesn't remove the copyright even though slight details will be off due to inaccuracies.

  • I sort of understand rounding outside edges for aesthetics since there's nothing lost and it might be easier as a target for resizing, but inside corners are just stupid. You're arbitrarily cutting corners out of content for no good reason.

  • The big issue for me is that there is any disadvantage between generations. My current 5 year old flagship has a headphone jack, expandable storage, and support for Bluetooth 5.0 which is all that most devices need. The only new phones that still have all 3 are cheap budget phones that lack in other areas compared to the one I already have.

  • This is how Canadian news sites will die. The only reason Canadian sites are accessible to most is because of search engines. The major search engines and social media platforms could easily remove Canadian sites will little loss. Facebook has already done it and has received little decrease in usage.

    Canadian news needs search engines more than the search engines need Canadian news.

  • The issue with any attempt to identify generated text is that anything generated could have been written by a human. There's also the issue with model diversity. Even if a specific model has common patterns that can be identified, there are hundreds of other models that will have different patterns.