713 karma · joined March 18, 2015
twitter.com/joakimri
https://www.risha.ug
https://www.github.com/NegatioN
The streaming issue is another matter though :/
It does make me reflect on this piece I wrote 9(!!) years ago though, which hasn't completely materialized. I think I'm due for a re-alignment of priorities.
For example: I'm excited to see how trade wars with the world turns out for the US, but I'm not sure it's a guaranteed win.
I recommend everyone interested in Dune to take a look at Jodorowsky's Dune [0], the documentary which explains how they did the preproduction of Dune, and pitched it to the studios. All the deals eventually fell through, but the pitch decks circulated all the studios for years afterwards, and inspired countless other movie makers.
The best things about the new Dune installments imo is the art, but all, or most of it feels like copy pasted ideas from what came before them. CGI is a huge asset to actually get it working though.
Maybe there are other substitute sugars out there which work well at low temperatures?
However I'm worried some countries seem to be throwing the baby out with the bathwater.
There are many things that are easier to learn with computers/screens than without as well, they just need to fit the medium. [0]
Intended as a reply, but the comment got deleted, so I might as well include it here:
The article [0] is focused on homeschooling, so the exact points listed there doesn't necessarily have a leg up on traditional media (implying you're in the right environment to facilitate learning these skills well without computers, which I don't think most kids are).
One off-hand example [where screens can be better than a book], would probably be using simulations to assist in learning physics, instead of just solving the equation on a page. Things where interactivity sets the learning in better context than a book probably would.
I'm also very excited to try teaching our child math using apps like DragonBox, which seems to allow for much easier visualization of how to solve equations than I got at school. [1]
This change of not needing ML engineers is not so much about the models, as it is about easy API access for how to finetune a model, it seems to me?
Of course it's great that the models have advanced and become better, and more robust though.
Tom wanted elaborate lore and story-telling, while the rest wanted to make the game experience what the player connected to. The instant reaction to your input, seeing your bad-ass character (and by extension yourself) inflict awesome damage on the world.
This to me is more of a conflict of _what_ the player should connect to, as opposed to not wanting the player to connect at all.
What you're writing should naturally lead to the conclusion that working for Google, Meta, Verizon, AT&T etc are all in the category of companies one shouldn't strive to use their hard earned talents for. For some reason I cannot fathom, you seem to land on the idea that Palantir is okay, because all these others somehow have snuck under the radar of many people?
It's hard to describe, but many people end up quite depressed.
I was really really close to trying to spin up something at work using the Max Engine. However, I see that it collects telemetry [1], and we can't really allow that. Do you know if there are plans to be able to turn this entirely off at some point?
It's nice to know if I should keep it on my radar, or if I can't consider it without changing jobs :)
[1]: https://docs.modular.com/engine/faq#does-the-max-sdk-collect...
That is definitely true, but my opinion would be that they need "less ads", and not "more". That's a phase of life when most people are very suseptible to societal messaging, and form their self-image (partly?) based on it.
Not all ads are created 100% equal of course, so one can only hope these ads are nice to the users.
That may be a component, but I think anothet thing that correlates heavily with the graphs presented in the article is simply: When you have enough spare time to prioritize music. (although you could explicitly prioritize it like some commenters mention)
I still find lots of new music, but it always comes in periods of my life when I have some leeway, and those are fewer and farther between now.
The !fgpt-bang seems to be the model: "Claude 3 Haiku" going by the developer notes. Which often outperforms at least ChatGPT 3.5, easily recouping some of the money I put into Kagi every month.
Encore, encore!
- Doing things as simply as possible to start off
- Keeping iteration time to a minimum, for maximum exploration of ideas
- Being willing to think outside the box
My takeaways above, hardly do these books justice, but they are as follows:
- Skunk Works: A Personal Memoir of My Years at Lockheed [0]
- Hackers: Heroes of the Computer Revolution. [1]
- The Dream Machine: J.C.R. Licklider and the Revolution That Made Computing Personal [2]
[0]: https://www.goodreads.com/book/show/101438.Skunk_Works
[1]: https://www.goodreads.com/book/show/56829.Hackers
[2]: https://www.goodreads.com/book/show/722412.The_Dream_Machine
Im from a small country, so it might just be that the developers have a stronger hand at the negotiation table than elsewhere, since there're fewer competent devs as a result.
In any case, as a programmer I feel like I would always hire someone that demonstrates good programming skills in the "wrong language" over someone who's mediocre in the "right language", so it's sad to hear that's not the case many places. And that might be a lesson I should keep in the back of my mind as well.
If you're a specialist that's one thing, but a normal software stack should be generalizable?
I got hired at all of my jobs so far without having major prior experience with the languages they use, and definitely not the frameworks.
One major thing that happened recently (2ish weeks ago) was the release of an algorithm (with weights) called stable diffusion, which runs on consumer grade hardware and requires about 8GB of GPU RAM to generate something that looks cool. This has opened up usage of these models for a lot of people.
example outputs with prompts for the curious: https://lexica.art/
I too hope it gets better, but it's hard to replace a panel of experts that have sifted through their subject when it comes to quality recommendations in some fields.
Humans are in large part "information foragers", in the sense that information has been vitally important to our survival as a species, and potentially a part of why we've developed larger brains than similar animals. [0] For example: A poisonous berry has a very different utility from an edible berry. Or: A monsoon season changes the climate enough to make an important difference for your tribe's survival whenever it happens. Querying your surroundings, or other humans for this information might have a large impact.
In that sense, it makes perfect sense that we "can't stop seeking novel and potentially interesting information" on these sites. Of course the way some of them are designed to be addicting doesn't help. But it illustrates why it's hard (or impossible) to quit doing this activity in it's entirety.
Maybe we shouldn't strive to quit searching for information, but make sure we have a satisfactory information scavenging activity as our go-to? I don't know what that would look like in practice, but the first thing that pops up in my mind is something like having a list of topics that seem interesting, and that you actively seek out information on, where you partially investigate some of the forks in the road.
Then there's the problem of being too exhausted to do something actively, which might need another solution entirely of course.
[0]: https://www.youtube.com/watch?v=F3n5qtj89QE Sadly I don't remember the timestamp of Jordan Peterson's statement saying humans are information foragers, but intuitively it holds up.