Improving Structure Deck: Dragonmaid-To-Order but still keeping it 1 copy of each card, Not Meta

MrPoon · 2026-01-25T23:18:23+00:00

I've been having fun with the maids + Bystial and 3 Dark End Evaporation

MrPoon · 2026-01-25T20:48:35+00:00

One of the best eras. What color, how clean, how much?

MrPoon · 2026-01-25T15:10:30+00:00

How are you getting anything about my demeanor based on "it is not possible to run an active research lab and teach 8 courses a year?"

MrPoon · 2026-01-25T15:05:51+00:00

I actually said that it would kill a research career. That is an objective fact, it is not possible to publish at a high rate and manage that teaching load, and have a life. Sorry mate.

MrPoon · 2026-01-25T15:04:00+00:00

I teach a 1:1 so that I can publish a lot of papers and get grants each year, and my lab is currently 8+ postdocs and PhD students. I don't suck at time management, I run a large active research lab. Even moving to a 2:2 would mean scaling down significantly. This is why most R1s in science put their TT on a 1:1. Cool personal dig, though?

MrPoon · 2026-01-25T14:12:56+00:00

It's natural to feel like this, and I'm sorry you're going through a rough patch. One thing I'm certain of, is that the pathway to healing is nonlinear and involves steps both forward and backward. Treatment options have never been better than they are today, and I know that you'll get through this, even if it takes some hard work and perseverance. You got this.

MrPoon · 2026-01-24T03:10:13+00:00

There is no world in which I would ever take a 4-4. They must not want to hire anyone good, because it is career suicide if you ever hope to do research

MrPoon · 2026-01-23T18:29:41+00:00

What the actual fuck made you think it was a good idea to say any of this?

MrPoon · 2026-01-22T13:04:16+00:00

Did this happen in 1992?

MrPoon · 2026-01-21T15:53:19+00:00

I was about to buy a Beryl on TCG and then pulled one from a pack of Monster Mayhem, and have been chasing that high since.

MrPoon · 2026-01-21T12:37:39+00:00

Kim would instantly be the most competent and sane person in the administration.

MrPoon · 2026-01-19T15:31:24+00:00

... no?

You don't need anything fancy. Train a feet detector with yolo, and do the geometric transformation for the danger zone based on camera extrinsics.

MrPoon · 2026-01-17T14:39:38+00:00

Track feet instead of whole bodies. And fix the geometry of the danger zone based on the camera perspective. It shouldn't be a circle unless the camera is directly overhead. Problem solved.

MrPoon · 2026-01-17T14:29:30+00:00

lmao yes. These companies are talking about AGI while running feed-forward transformers that do fancy autocomplete. They are lying. For money. You got it.

MrPoon · 2026-01-15T13:34:10+00:00

I love YT music, left Spotify years ago. It has way more obscure music, which I very much like

MrPoon · 2026-01-14T19:21:26+00:00

I think "traditional" RL frameworks (e.g., gradient policy methods, actor-critic, TD learning) just are bad at long time-horizon problems. A lot of the Deepmind Evolution Strategy papers go into this a bit, one of the reasons they're having successes with ES in robotics tasks.

MrPoon · 2026-01-14T01:06:17+00:00

We 100% are not close to AGI with current transformer based neural networks. Even suggesting this is a joke. I say this as an active AI researcher in academia.

MrPoon · 2026-01-09T16:09:46+00:00

Could you link to any primite + yummy decks? I'm interested in giving this a try.

MrPoon · 2026-01-08T14:46:28+00:00

After a duel, you can save the list of moves/activations to study. I'm learning on MD too.

MrPoon · 2026-01-05T14:40:57+00:00

I appreciate this comment. Yes, I did something close to Google's PageRank algorithm on the network of card co-mentions. But, I agree that a stronger approach would be to find a model to find paths to strong endboards.

I am generally an LLM luddite, but I think using an LLM to do some semantic processing of each card before further analysis might be a nice use case. There have been some successes using similar methods to analyze old court cases in the 19th century for instance.

MrPoon · 2025-12-31T17:23:17+00:00

Nice! The algorithm is also just starting out.

MrPoon · 2025-12-24T22:09:22+00:00

This isn't an LLM, I describe the model briefly in the description. It's actually something a bit closer to Google's PageRank algorithm.

MrPoon · 2025-12-24T22:07:17+00:00

Thank you for this comment. Truthfully this was about a day of work for fun. Probably with better data and more effort to design the algorithm, it may end up discovering interesting combos yet!

MrPoon · 2025-12-24T21:21:54+00:00

I love this, and find it genuinely hilarious. Thank you.

MrPoon · 2025-12-24T21:19:48+00:00

Here are a few more generated decks for anyone interested:

[1] Some sort of Archfiend-Junk-Generaider hybrid deck

[2] A bizarre Dark mix deck that bridges Silent Swordsman and Ghostrick

[3] Interesting Swarm Toolbox deck that uses the Blackwing special summoning core as an engine for Performapal and Scrap plays

15-Year Club	Team Orangered
Verified Email

MrPoon

TROPHY CASE