Tag: operating system

  • Clone Wars Watchlist

    OS X 10.10 Yosemite: The Ars Technica ReviewOS X 10.10 Yosemite: The Ars Technica Review by John Siracusa

    My rating: 5 of 5 stars

    I have read every one of Siracusa’s epic OS X reviews since 10.5 on. Lately they provide my feature overview before I get around to installing the actual update; this year is no different. One of the best values he brings to these is his history with Macs – he can connect the past and present like few other Apple observers.

    This review’s section on Extensions, with callbacks to the Classic era, was interesting because of my own fond and frustrating memories dealing with extension conflicts on System 7 through Mac OS 9. The absolute highlight of this review, and I say this in part as a computer scientist, is his overview of the new Swift programming language, and how it fits into the Apple ecosystem and developer toolchain. The technical detail he gets into with intermediate languages and type systems is fascinating. The future in that regard is particularly exciting, and I hope to find time to work in Swift myself soon.

    I read the iBooks version of the review, but I would recommend the Ars Technica web version for a couple of reasons. First, John himself considers that the canonical version. Second, it has better image layout and some dynamic content demonstrating the various interface changes. Third, the reference links provide important context, and are easier to jump out to on the web than leaving the iBooks app on an iPad (especially on a poor A5-powered mini that likes to swap the book out of memory as soon as you open a link in Safari). I read the web version up until last year’s Mavericks review, but now I see that the iBooks experience, while an easy purchase, is an inferior read of (almost) the same content.

    Obviously I am a Siracusa fan, so I’m predisposed to like his analytical style, but I also appreciate his Mac cultural references sprinkled throughout, like titling his conclusion using a quote from the “1984” commercial for the original Macintosh. If you are interesting in exactly what you are getting by upgrading your Mac’s operating system this year, read this.

  • Sunspot

    A small Yorkshire Terrier lies in a pet bed on a green upholstered chair in a sunny living room.

    I wish I could nap like Pike naps.

  • The Muppets Meet Murderbot

    For the last year and a half or so Andrle and I have been having a ton of fun as part of an online book club put together by my friend Tanya. Unlike most book clubs where you all read the same thing, we all just share things we love that we’ve been reading.

    One recommendation that kept coming up was The Murderbot Diaries by Martha Wells, and I’m glad we finally ran with it and started reading them. We’ve been bingeing the last few weeks and they’re really, really great. Highly recommend (even though I’m only on Book 4.)

    Unsurprisingly another thing I’ve been reading about and thinking about a lot is the advent of Large Language Models, particularly as manifested by ChatGPT. My past work life as an NLP practitioner has me a mix of curious, envious, and highly suspicious of what these are and how they’re being used. In the short term I don’t mind using them as a toy that I can play with for the purpose of a joke, which is what this post is about.

    A recurring topic in this book club is how we might have the Muppets interpret a particular book, or how we might recast a movie with Muppets (but keep one human actor). This provides a lot of fun discussions, especially since I grew up regularly watching the classic Muppet movies on VHS recorded off of TV, and I really like musicals.

    That all brings me to some prompt iterating that I did to get ChatGPT to write the painfully cliché finale to a Muppet musical featuring Murderbot. (Apologies to both Henson and Wells.)

    Verse 1 (Murderbot):
    I used to be a killing machine,
    A rogue cyborg, feared and mean,
    But then I met the Muppets and Kermit,
    And learned what friendship truly meant.

    Verse 2 (Kermit):
    I'm just a simple frog, it's true,
    But I believe in friendship too,
    And when I met Murderbot, I knew,
    Together we could do something new.

    Chorus (All):
    We don't need to kill no more,
    Our friends are all we're fighting for,
    With Murderbot and Kermit side by side,
    We'll show the world what we stand for.

    Verse 3 (Murderbot):
    I never wanted to be a tool,
    But that's all humans see in me, it's cruel,
    I used to dream of breaking free,
    From their endless schemes and greed.

    Verse 4 (Kermit):
    It's true, I'm always happy-go-lucky,
    But I've been through some tough times that were quite yucky,
    But now with Murderbot and the gang,
    I know our friendship will never hang.

    Chorus (All):
    We don't need to kill no more,
    Our friends are all we're fighting for,
    With Murderbot and Kermit side by side,
    We'll show the world what we stand for.

    Bridge:
    The past is gone, the future bright,
    With friends like these, we'll win the fight,
    Our love and trust will guide us through,
    Together we'll see this journey through.

    Chorus (All):
    We don't need to kill no more,
    Our friends are all we're fighting for,
    With Murderbot and Kermit side by side,
    We'll show the world what we stand for.

    Outro:
    So let's raise our voices high,
    And let the world hear our battle cry,
    With Muppets and Murderbot side by side,
    We'll change the world and turn the tide.
    OpenAI. (2023, Mar. 16) [Iterative prompt conversation starting with “This Muppet movie is about a rogue cyborg traveling to different space stations and learning the power of friendship from the Muppets” and “I need some lyrics for the big finals. The music is big broadway style number about how the rogue cyborg doesn’t need to kill bad guys anymore because it has friends.” and then encouraging more dialogue between Kermit and Murderbot] https://chat.openai.com/

    Yes, I looked up recommendations on how to properly cite ChatGPT output.

    Overall the result was mildly amusing. I couldn’t get it to capture Murderbot’s signature style, presumably because while information about the novellas are in its model training, not enough text from the novellas are in there.

    I’m still not sure what useful things I could do with this kind of tool, but in the meantime, I can make it make silly songs.

  • Fox Ferocity

    Pike playing with a toy almost as big as he is.

  • Groomed Pike

    Tiny freshly groomed Yorkie sits on a teal couch wearing a monstera bow tie

    I love this little gentleman.

  • The Kale Wanter

    A small black and brown Yorkie stands on a cream rug in front of a brown cupboard begging for the bunch of lacinato kale in hand in the foreground.