I’ve been learning houdini recently, and I have to agree.
In terms of nodes and simulation, Houdini is still lightyears ahead of blender. I say this as someone who loves blender and views the programs as complementary. But still, I was shocked at how deep Houdini is.
With that said, learning Houdini is an unrelenting gauntlet. Blender isn’t exactly easy to learn but it’s a walk in the park compared to Houdini. Even something as simple as creating a material and assigning it to an object is an exercise in frustration.
That suggests a straightforward mapping between context -> program. Maybe for trivial programs but I don’t see how you can argue that for sufficiently complex programs.
Reasoning models perform better than non-reasoning models because they’re able to refine their code in multiple steps. That allows any part of the program to influence any other part of the program, not just from start -> end.
Human thinking serves a similar purpose. Basically intelligence needs to be able to backtrack if you want better performance.
MIT is simple, open, and common which is a big benefit for indie projects, small studios, and anyone with limited legal resources.
It means there’s lots of info on the internet explaining how to use the license and they can be relatively certain they won’t accidentally fall into some legal trap or misinterpret the license. It also means there’s legal precedent around the license.
All that to say, custom licenses are actually a big issue for small players.
Because there’s a clear mismatch between the value generated from Box2d vs the value the creator receives, and that’s common for open-source in general.
It would be common decency to donate even a small portion of that $500 million, even if the license technically doesn’t require it.
Because we’ve been able to spend more and more on the next miniaturization. That does not seem infinitely sustainable or even physically possible to sustain indefinitely.
I think people are sick of hearing about AI but they’ll embrace this change for the simple reason that they hate computers and want to feel like they’re taking to a human.
I think this will be one of those things that the hacker news crowd lambasts and calls a mistake but will either be neutral or seen as a positive to your average user.
I’m so intensely sick of this attitude. We are losing things with technology. Important things. Human things.
Looking under a microscope at one specific instance and saying “eh it’s not that bad, you’re overreacting” is disingenuous or at least putting your head in the sand.
Anthropic recently changed their take-home test specifically to be more “out-of-distribution” and therefore more resistant to AI so they can assess humans.
I’m so tired of “there’s nothing preventing”, and “humans do that too”. Modern AI is just not there. It’s not like humans and has difficulties with adapting to novelty.
Whether transformers can overcome that remains to be seen, but it is not a guarantee. We’ve been dealing with these same issues for decades and AI still struggles with them.
All analogies are flawed and I think you’re taking the wrong message here.
If doctors gave mothers a vaccine that prevented down syndrome, at a high level, that would be the same as putting an anti-down syndrome drug in the water supply.
The point of the example is not about whether putting things in the water supply is good or bad.
In terms of nodes and simulation, Houdini is still lightyears ahead of blender. I say this as someone who loves blender and views the programs as complementary. But still, I was shocked at how deep Houdini is.
With that said, learning Houdini is an unrelenting gauntlet. Blender isn’t exactly easy to learn but it’s a walk in the park compared to Houdini. Even something as simple as creating a material and assigning it to an object is an exercise in frustration.