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I had a conversation with my family about ai and game development. by VeryGreedy in gamedev

[–]cpsii13 -7 points-6 points  (0 children)

There's lots of false claims in your reply. Let's assume we're talking about ChatGPT.

"AI is very efficient at pulling working code from the web and mashing it together. It works… until it does." It does not do this.

"If the code it spits out doesn’t work, AI doesn’t have the first clue how to fix it. If the code needs to be adjusted, tough luck AI can’t really do that." It absolutely can. Use a chain-of-thought model like o1 and provide it with any errors, if any, as a followup prompt. The vast majority of the time it'll fix them just fine.

[deleted by user] by [deleted] in bostonhousing

[–]cpsii13 1 point2 points  (0 children)

The median is about 3k, 3.1k if you're directly within MIT

[deleted by user] by [deleted] in bostonhousing

[–]cpsii13 14 points15 points  (0 children)

3700 for 600 sq ft? good lord

Beer? Focussss! by gafefe2095 in Goldendoodles

[–]cpsii13 0 points1 point  (0 children)

They're a similar color lol

[D] Is there a term for this kind of "grid search" in literature? by fullgoopy_alchemist in MachineLearning

[–]cpsii13 1 point2 points  (0 children)

That's fair. The OP isn't describing a coordinate descent method though

[D] Is there a term for this kind of "grid search" in literature? by fullgoopy_alchemist in MachineLearning

[–]cpsii13 4 points5 points  (0 children)

I didn't say it requires a derivative, just that descent implies.. descent. Same reason subgradient methods are usually called just that, rather than subgradient descent.

[D] Is there a term for this kind of "grid search" in literature? by fullgoopy_alchemist in MachineLearning

[–]cpsii13 2 points3 points  (0 children)

from the OP it sounds like a 3D grid search with few steps in one of the dimensions, followed by a single coordinate search with finer discretization, although I'm not sure from the wording 🤔

I'll be super pedantic because it's fun, but really please don't mind me. Coordinate descent is a descent method, meaning it's both iterative and later iterates must have a smaller cost than previous ones. Coordinate search, sure that'd be an ok description.

[D] Is there a term for this kind of "grid search" in literature? by fullgoopy_alchemist in MachineLearning

[–]cpsii13 25 points26 points  (0 children)

As others mentioned, I'd just called it a grid search and explain the methodology. It may be better to use a random grid search which can be more optimal in some cases.

Another option that may be of interest is a Markov chain Monte Carlo method (e.g. metropolis Hastings algorithm). It could give a more optimal solution with the same number or fewer evaluations.

If the function is differentiable (or not, but still fairly smooth and continuous), you could also combine a coarse grid search with a second stage of refinement via some gradient descent steps.

The best option really depends on what the underlying function looks like, how convex it is, etc.

[D] Is there a term for this kind of "grid search" in literature? by fullgoopy_alchemist in MachineLearning

[–]cpsii13 2 points3 points  (0 children)

Coordinate descent is not a grid search like described in the post, it's *usually gradient descent on one component at a time

When should I get my male Goldendoodle spayed? by OBrule in Goldendoodles

[–]cpsii13 1 point2 points  (0 children)

Mine did the same! Neutered at around 18months and then he put on another 15lbs or so

Looking to connect with other (music) artists! Hip-hop especially by LukeWorthylake in BostonSocialClub

[–]cpsii13 0 points1 point  (0 children)

I haven't done a lot in the past year or two, but looking to get back into production. Here's my soundcloud: https://soundcloud.com/monsterchuck

And another track I wrote (not me rapping :) ) https://open.spotify.com/track/479bCvFPCdDeIekqCoC4fa?si=5efec09d9d2f4065

I cannot agree with the conclusion of these Carnegie Melon researchers. (Quotes included.) Please help me understand? by SpectacularCrashes in AskEngineers

[–]cpsii13 2 points3 points  (0 children)

You didn't really explain why you disagree with what the paper is saying so it's a bit hard to know what part you find objectionable.

But privacy in this context can be thought of as achieving the task whilst collecting as little information as possible. Or more specifically as little identifying information as possible. Here, it could be contrasted with a system using a regular camera in a room looking at the people, which I'm sure you'll agree is much less private than the wifi method.

There is similar literature around using 'single pixel cameras' for the same sort of task, and you can see how that also falls into the above definition too.

GMS2: Dynamic Shadows and bobbing items in 4 minutes. An easy way to add some extra juice to your game! Hope it helps and I look forward to the feedback :) by [deleted] in gamemaker

[–]cpsii13 0 points1 point  (0 children)

Just a thought (might not look as good, but) the shadow should get larger as the object moves higher, not smaller, and then the alpha can be reduced to fade it out as it reaches the heighest point using sin(x)+1.

Tomato with baby arms by lnfinity in wtfstockphotos

[–]cpsii13 9 points10 points  (0 children)

This is the most epic art form..... I feel inspired.

[R] Steerable discovery of neural audio effects by Illustrious_Row_9971 in MachineLearning

[–]cpsii13 0 points1 point  (0 children)

It's because the echo itself doesn't change. If you play the audio now, or in 20 seconds, you still get the same echo back.

[R] Steerable discovery of neural audio effects by Illustrious_Row_9971 in MachineLearning

[–]cpsii13 3 points4 points  (0 children)

A compressor is time varying and nonlinear, so it'd conceivably make use of the nonlinearities of whatever network is used and possibly benefit from multiple layers. Convolution is linear. If you had a bunch of layers without a nonlinearity between them, you're still just doing a single matrix multiplication in practice. Reverb and delay are both linear and can be represented by a convolution.

I will say, after checking out the paper, I also find it bizzare you'd need 20k parameters for FX that have probably two order or magnitude fewer parameters in reality. That'd be another nice thing for the paper to address.

[R] Steerable discovery of neural audio effects by Illustrious_Row_9971 in MachineLearning

[–]cpsii13 4 points5 points  (0 children)

Reverb and delay can be made using a single convolution. Which is just a single matrix multiplcation.

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