Tag: steve jobs

  • Clone Wars Watchlist

    Steve Jobs: A Biography

    Steve Jobs: A Biography by Walter Isaacson

    My rating: 3 of 5 stars

    I think the main feature of this book that I would emphasize is that it is, in fact, a biography about a flawed man, and not so much a history of his technical achievements. As a computer geek and long-time MacAddict, I found that a little disappointing; I didn’t care as much about every anecdote of his emotional instability, I cared about how he did what he did at various companies. There was barely anything on his time at NeXT, and even the major changes at Apple in the last 15 years pretty much got a single chapter each. I was also surprised to find a couple of spelling mistakes, although I suppose since I read an electronic version that could get patched later.

    Overall I would echo John Siracusa’s Hypercritical podcast episode in which he reviews the book as having been writing by “the wrong guy”, making the point that Isaacson is someone who was generally incurious about technical matters. I think my rating of this book would be higher if he had delved into that side of Steve more.

    That all said, it is probably the best collected summary of what he was like, mostly due to the access Isaacson had. I learned a lot of trivia, and there were a lot of interesting quotes that I marked in iBooks. I knew very little about his early life, or his family life. I just would have liked more of a study of what made his technical and design successes. There were some good stories from, among others, Bill Gates, Jony Ive, and Steve Wozniak.

    I think it’s a reasonable first look at The Steve, but I would definitely read other history books first, or generally familiarize yourself with the history of Apple, NeXT, and Pixar. For the latter, the documentary that appears on the WALL-E DVD, The Pixar Story, is excellent.

    I think my favorite quote from Steve featured in the book was this one, which is more philosophical than technical: “The job of art is to chase ugliness away.”. As in my initial reaction to his death, I think Steve clearly achieved that.

  • 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.