I had a lot of fun. I think the progression curve gets boring around Boss Level 11. Introducing a prestige system could extend the runway.
I thought both Factor and Divide were interesting twists to the battle system, but neither were given enough room to breathe. With different boss numbers in the early progression, Factor can be tuned to make battles winnable that otherwise aren’t. That saves Divide for later in the progression. As it is now, they both surface around the same time and crowd each other’s debut.
It’d also be good to highlight new developments by making them unlockable in the Clubs skill tree. E.g. make an unlock or unlocks for “2-star numbers auto attack”. And “Unlock Factor where factorials of boss numbers get huge stat increases.” It mostly gives you a way to spell out and educate new mechanics, but also it pads out the Clubs skill tree which is a bit thin comped to other games like this.
I hope you keep iterating on it, it’s a really good game!
From a non-dual perspective either nobody is a p-zombie or everybody is a p-zombie. I think the trajectory of LLMs will be that consciousness sensations are abundant and low value, and that will give all the non-dual territory over to the illusionists (who now have a tangible example to point to.) Emergence won't be disproven but it'll be about as interesting as a penny stock. Everyone else is going to go to ground as a dualist and argue for some entirely new unreachable aspect of human exceptionalism, but they'll have ceded qualia as they did for souls. If I had to guess, they'll focus on embodied cognition because building high-fidelity bodies still seems really hard.
It’s going to be a long road, but I think as LLMs and their offspring create more and more convincing arguments for silicon consciousness we will conclude that consciousness is about as real as humours, and we’ve all been p-zombies this whole time.
Maybe the literary creature shoe should have started on the other foot, and sent us in search of proof that we are or are not p-angels. That at least puts the burden of proof on the compatibilists where it belongs.
I think of it like a technology checkpoint. Make sure you got as far as everyone else when they gave up, so when the next innovation in that space comes along you can start back up on even footing.
You want to have your own pathway to production that dodges competitors’ patents, is somewhat defensible itself, maybe a brand, etc.
Listed in the article are the National Society for the Prevention of Cruelty to Children and the Internet Watch Foundation, which monitors and removes child sexual abuse material from the internet.
The recent Meta lawsuits also mention opposition from the National Center for Missing and Exploited Children and Meta's own executives: Monika Bickert (head of content policy) and Antigone Davis (global head of safety). Both executives mention the danger end-to-end encryption poses to children when attached to a social media graph.
I’ve given these sorts of haystack search struggles completely over to the LLM. Whether it’s finding a bug in code or searching documentation for the answer, I view it as a near-obsolete skill. The past couple of decades it was important to know how to chase down documentation and zero in on the one line of config you were missing. Now it’s not.
I don’t view this as a hollowing out of my skill tree, I view it as freeing myself to focus on modern skills I need to develop. Such as learning how to steer LLM context windows towards maintainable solutions in large codebases.
I’m sure I’ll be thankful now and then that I know how to manually sift through stack traces for answers. But I expect those moments to be rarer and rarer. I basically never look at machine code, but I bet that used to be an important skill for programmers many decades ago.
I liked the results of vectorizer.ai and recraft.ai
Input image is important too. When working with the generalist LLM on the raster art, give it context that you are making a logo, direct it to use strokes and fills and minimal color palette, readable at small sizes, etc.
If you search for ‘vectorization AI’ there are a handful of specialized tools and apis that can do it. It worked well for a handful of logos I wanted to convert. Nano banana generated the raster logos, and these other tools vectorized them
Atomic commits compose easier. In case you want to pull a few out to ship as their own topic. Or separate out the noisy changes so rebases are quicker. Separate out the machine-generated commit so you can drop it and regenerate it on top of whatever.
My commit messages are pretty basic “verbed foo” notes to myself, and I’m going to squash merge them to mainline anyway. The atomic commits, sometimes aided by git add -p, are to keep me nimble in an active codebase.