The Changelog: Software Development, Open Source - 10 big predictions for 2025 (News)
Episode Date: January 6, 2025M.G. Siegler goes way out on a limb with some BIG predictions of things that could happen this year, Simon Willison's year-end roundup is a must-read and perhaps the only thing you have to read to get... up-to-speed on the state of the LLM, Allen Pike describes a method for magic, Tom Critchlow thinks small databases are magic & James Stanier agrees with me about Parkinson's Law and the usefulness of deadlines.
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What up nerds, I'm Jared and this is ChangeLog News for the week of Monday, January 6th,
2025.
Well, how did your 2024 exit?
Did you close open file descriptors, delete temporary files, and free allocated memory? Or was
it more of a segfault and core dump kind of a finish? Me? I'm still holding on to a couple of
loose threads, but I managed to return zero and I'm ready to execute again. So let's get in to
this week's news. 10 big predictions for 2025. TechG. Siegler goes way out on a limb
with some big predictions of things that could happen this year,
one of which he believes actually has a chance.
Here's his list with all of his reasoning removed because why not, right?
1. Apple buys an AI company
2. Someone buys Warner Bros. Discovery.
Intel gets bailed out.
Elon Musk bails on the White House.
Amazon's Alexa overhaul proves less than remarkable.
Microsoft and OpenAI kiss and make up or break up.
NVIDIA comes back to earth, a bit. Number eight,
threads passes X slash Twitter in active users. Number nine, Google starts to feel real pressure
on search. And number 10, Mark Zuckerberg unchained. Of course, MG does defend these
predictions in the blog post, which is linked. Some of these sound not too outlandish to me. Specifically, I can see numbers 1, 4, 5, 7, and 9 happening. That's Apple buying
an AI company, Elon Musk bailing on the White House, Amazon's Alexa being not so remarkable,
Nvidia coming back to earth, and Google starting to feel real pressure on search. That might
already be happening. What do you think? Things we learned about LLMs in 2024.
Simon Wilson's year-end roundup is a must-read and perhaps the only thing you have to read to
get up to speed on the state of the large language model ecosystem. He also comments on much of the
commentary around LLMs, which I wholeheartedly agree with. Simon says, quote, I think that
telling people that this whole field is environmentally catastrophic plagiarism machines
that constantly make things up is doing those people a disservice, no matter how much truth that represents.
There is genuine value to be had here, but getting to that value is unintuitive and needs guidance.
Those of us who understand this stuff have a duty to help everyone else figure it
out. An unreasonable amount of time. Alan Pike describes a method for magic, quote, the pianist
whose fingers seem supernaturally nimble, the presenter whose message seems viscerally compelling,
and the artist whose paintings seem impossibly realistic all wield the same magic. They've invested more time
than you'd expect. It can be difficult psychologically to commit yourself to spend
an extreme amount of time and attention towards a goal, no matter how worthwhile. Doing impossible
things feels, well, impossible, end quote. Allen also provides a formula for getting over that fear
of commitment. I'll give you a hint. It's similar to the formula for eating an elephant.
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The magic of small databases.
Here's Tom Critchlow.
Quote,
We've built many tools for publishing on the web,
but I want to make the claim that we have underdeveloped the tools and platforms
for publishing collections, indexes, and small databases.
It's too hard to build these kinds
of experiences, too hard to maintain them, and a lack of collaborative tools exist. End quote.
Tom goes on to think through what's needed in this space, list some existing tools and examples,
and make this overall point. Quote, I want to empower more individuals to publish, maintain,
and collaborate on small indexes to build a million tiny libraries, community databases, weird collections, and indie indexes.
Parkinson's Law. It's real, so use it.
Parkinson's Law, which says that work expands so as to fill the time available for its completion,
is counterintuitive, but that doesn't make it wrong.
This is why I've staked the claim that arbitrary deadlines are actually awesome,
link in the newsletter,
and it's why James Stanier agrees with me.
Here's James, quote,
projects that don't have deadlines imposed on them,
even if they are self-imposed,
will take a lot longer than they need to
and may suffer from feature creep and scope bloat.
By setting challenging deadlines,
you will actually get better results.
It's all about manipulating the iron triangle of scope, resources, and time. End quote. I wish it
weren't true, but it is. Oh, it is. Deadlines really help human beings get things done.
Acknowledge it, embrace it, use it. That's the news for now. But also scan the companion newsletter for even more stories worth your attention,
such as hitting OKRs versus doing your job.
Nobody gets fired for picking JSON, but maybe they should.
And the ghosts in Spotify's machine.
Hashtag dead internet theory is real.
In case you missed it, our last episodes of 24 were a couple of bangers.
Our final interview was with Mitchell Hashimoto talking ghosty, which is publicly available now,
by the way. And our final friends was State of the Log 2024 with 12 listener voicemails plus
BMC remixes. Scroll back in your feed if you haven't listened to those yet and hang tight
for some awesome pods this week as well.
On interviews, Rachel Plotnick joins us to talk buttons, knobs, and switches.
And on friends, well, it's only Matt Reier with his guitar
and a list of ridiculous topics to discuss.
Have yourself a great week.
Leave us a five-star review if you dig the show,
and I'll talk to you again real soon.