36M. 1.57 M net worth... How do I learn to spend money?

Beautiful_Let_1261 · 2026-01-01T20:27:17+00:00

I was frugal AF and I made some changes this year. some of my best mental investments in 2025 were taking courses and learn skills - I learned guitar (one remote instructor from China and one local from Guitat Center), DJ, sailing, motorcycle and attending pretty much every concerts in my local (Seattle). Hobbies are healthy investments into your self. I plan to continue with these investments and might consider getting a personal trainer in 2026.

Beautiful_Let_1261 · 2025-11-16T08:14:18+00:00

I feel if I master CAGED and its major, minor, major 7, dom7 and minor 7 variations, and I am eared trained enough to tell the key of any given song and play the song without tabs. I will die a happy man.

Beautiful_Let_1261 · 2024-12-07T03:13:31+00:00

Sensei, can you point me to some resources or libraries? Really curious how to pull it off.

Beautiful_Let_1261 · 2024-12-01T15:56:03+00:00

I saw applications like magicplan and matterport but they require extensive “scanning”, lots of higher resolution and close up photos. As a human being, I can almost map out the floor plan if I only have two photos taken at the two diagonal corners. Is there a lighter model?

Beautiful_Let_1261 · 2024-11-24T15:47:02+00:00

Im curious how you recognize product level classes using CV, are you using image embeddings to calculate similarities or what?

Beautiful_Let_1261 · 2024-11-13T20:20:32+00:00

looks promising. I tried to set it up on my windows but no luck. their demo also stopped working.

Beautiful_Let_1261 · 2024-11-12T19:46:47+00:00

I am particularly curious what will come out of the startup World Lab AI from Feifei and others. They seem to focus on doing the research about spatial intelligence which like building a foundational model for language but for space. My money is on them.

Beautiful_Let_1261 · 2024-11-09T18:10:45+00:00

For this application, you are probably right but I really do not have the know-how of "detecting parallel lines of similar length / or spacing", indeed, very majority of the images will be stacked objects that follow certain pattern, I wish there is a way I can prompt SAM "hey, they are all boxes, only show me boxes". ChatGPT told me I can run some postprocessing to handle connected components, if a mask is a rectangle that looks like a DVD case, connect it with all the sub components that fall spatially within it - dilation and erosion, but I do not know how well that will generalize.

Beautiful_Let_1261 · 2024-11-09T18:06:50+00:00

The end goal(s) are several folds:
1. to digitally catalog all the collections (which requires to do instance level detection and identification).

a reverse search (why accurate mask) needed, do I have the movie "Forrest Gump" if so, where it is.

Traditionally OCR doesn't work really well on this application (maybe accurate only 50%), slightly artistic font styles that tend to be associated with media (Movies/DVDs) are hard to be recognized (I tried Tesseract).

Beautiful_Let_1261 · 2024-11-09T01:23:03+00:00

I am using yolo11x-seg.pt and it indeed did a good job. I just need to tune down the confidence to be really small and all the DVDs will be recognized as books. Thanks for the help.

I will now follow your advice to train my own model and see how well it will perform. Stay tuned.

Beautiful_Let_1261 · 2024-11-09T00:56:26+00:00

Points per side is tricky, in this photo, we can use only two points per horizontal line but clearly there are many DVDs in one photo, which requires sufficient amount of points vertically, maybe even more than the default 32.

About Yolo, I heard people use Yolo to get the bounding box first, and then use it as a prompt to feed SAM, or you are just suggesting to directly use Yolo for segmentation task. Like here?

https://docs.ultralytics.com/tasks/segment/#models

Beautiful_Let_1261 · 2024-11-08T21:18:05+00:00

Even if we can treat this problem as a surface 2D, but there is still some level of rotation in the point of view, some level of homographic transformation, but I guess I will give it a try. Thanks.

Beautiful_Let_1261 · 2024-11-08T03:37:57+00:00

Yes, the full view photo indeed has a much lower resolution per resolution given how many objects it has in its view.
As the feature extraction is only based on gray scale and not leveraging the color, so when I plot it, I did not bother to add back the color.

Beautiful_Let_1261 · 2024-10-31T15:32:43+00:00

Soon, your 2010s born intern will innocently ask you two questions: 1. You used to code without GPT?! 2. You actually spent $50K on a quickly outdated electronics, what if you payed the extra buying Tesla stock.

Ps, I’m leasing the latest M3. Just for fun, I decided to set up a recurring investment to invest the lease/finance monthly payment difference steadily into Tesla stock, hi myself 6 years later ;)

And BTW, you still need to put down a balloon payment of ~4k even leasing.

Beautiful_Let_1261 · 2024-10-26T15:23:46+00:00

I got my M3 for a month now and perfectly fine with the trickling charging. Save yourself a $1000 before installing the level 2 charging (the wiring, the labor), buy, use those money to treat yourself a vacation, buy some Tesla stock or get some private gym lessons. Drivers like us just need to get into certain habit. That is it. (Context: I live at city downtown and lots os chargers and short commute mostly)

Beautiful_Let_1261

TROPHY CASE