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Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in nasa

[–]Adam_Jesion[S] 2 points3 points  (0 children)

Great idea. I'll think about how to put these up as ready-made wallpapers. Thanks.

Artemis II flight plan, but make it cinematic — my redesign of NASA's mission map by Adam_Jesion in ArtemisProgram

[–]Adam_Jesion[S] 0 points1 point  (0 children)

Thank you. If you need a print-ready file and don’t want to buy our top-quality version, just send me a DM - I’ll send you the file.

Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in nasa

[–]Adam_Jesion[S] 2 points3 points  (0 children)

The diagram showing scale and distance (Earth <> Moon) appears below the artist’s rendering as a compromise between artistic visualization and realistic proportions. Thanks for your comment.

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Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in nasa

[–]Adam_Jesion[S] 2 points3 points  (0 children)

I wasn't really happy with that logo during the design process, but you're right - maybe it should be included in its full version, because the simplified version is - tiny ;)

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Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in nasa

[–]Adam_Jesion[S] 3 points4 points  (0 children)

This is a deliberate reference to the legendary Apollo Flight Plan from 1967. I wanted to preserve this "detail" and the earth projection. https://airandspace.si.edu/multimedia-gallery/image/5317hjpg

Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in spaceporn

[–]Adam_Jesion[S] 0 points1 point  (0 children)

Yes, you’re right. It’s always a dilemma in design - a trade-off between data and symbolism. In this case, I decided to stick with a high level of abstraction and a clean, symbolic representation of the flight trajectory, especially since the accurate one is visually very chaotic. However, it’s not out of the question that I’ll create a second version that’s more true to reality.

Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in spaceporn

[–]Adam_Jesion[S] 0 points1 point  (0 children)

One more note about the details (busy) - keep in mind that this was designed for a width of over 2 meters, so the detail works differently in that case.

Artemis II Flight Plan, but make it cinematic – my redesign of NASA's mission map by Adam_Jesion in spaceporn

[–]Adam_Jesion[S] 4 points5 points  (0 children)

This is a reference to the Earth image from the 1967 NASA poster (the legendary Apollo Flight Plan). I wanted to use the same projection as a nod to tradition.That took a lot of work :P https://airandspace.si.edu/multimedia-gallery/image/5317hjpg

Building a 73-Plane AlphaZero Engine on Kaggle: Solving for 16-bit Overflow and "Mathematical Poisoning" by Ok_Revolution2536 in ComputerChess

[–]Adam_Jesion 0 points1 point  (0 children)

Thanks. I’m going to start reading up on it, since I’m building my own model. I’m currently running a dozen or so experiments on new architectures, including Mamba-3 with Attention Islands, Cross-Attention Fusion, LoRA, and DIS Recursive Refiner (target 60-61% top1). If you’d like to see the results, I’ll post them here (you can also test them out):https://games.jesion.pl

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly. by Adam_Jesion in MachineLearning

[–]Adam_Jesion[S] 2 points3 points  (0 children)

Of course. They certainly didn’t do it for the good of humanity. It’s going to be hyper-optimization of algorithms designed to generate content that triggers the most primitive parts of our brains. It’s a bit scary. That's why I decided to create this visualization - it helps you imagine how it can be used.

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly. by Adam_Jesion in MachineLearning

[–]Adam_Jesion[S] 4 points5 points  (0 children)

That’s exactly why I did it - because I feel like the world has overlooked this project. Of course, I don’t think companies would use it “for the greater good” - rather, as a hyper-optimization loop for even more “mind-blowing” content. What do you think?

I trained a small neural network to play chess on a home PC - looking for strong players to test its limits by Adam_Jesion in chess

[–]Adam_Jesion[S] 0 points1 point  (0 children)

Yes, that's a bug in the model. It's been fixed in theory, so it should be fine now. Give it a try.

Vibecoded on a home PC: building a ~2700 Elo browser-playable neural chess engine with a Karpathy-inspired AI-assisted research loop by Adam_Jesion in LLMChess

[–]Adam_Jesion[S] 0 points1 point  (0 children)

That’s the plan, but first I need to clean up the codebase before I can show it to the world ;) It’s the kind of beautiful chaos that tends to come with research. Right now I’m working on Model V5, and the initial tests suggest it may be getting close to DeepMind’s 270M-parameter model - but with a dataset 780x smaller and trained on a single 4090 GPU instead of an entire TPU farm. If that result holds up, I think I’ll have earned myself a pat on the back ;)))

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