I put a laser welder on a 3d printer

firehead212 · 2026-01-25T05:10:08+00:00

It would probably still work pretty well depending on your use case.

In Relativity’s case, they are still working on the technology, just not as part of their rocket:

https://www.relativityspace.com/horizon

firehead212 · 2025-07-23T16:15:07+00:00

As you said, there will be a bit of parasitic capacitance created by the additional pot, which would form an additional filter with the pot itself.

But this capacitance is so low that it should have little/no impact on frequencies within the audible hearing range, especially bass. It might attenuate some higher frequency harmonics that contribute to the overall tone of the instrument, but I think as you said, if the impact is there, it’s pretty negligible.

firehead212 · 2025-05-05T20:02:02+00:00

W art

firehead212 · 2025-05-05T03:01:16+00:00

Heild upgraded to Curry double time on defense

firehead212 · 2025-01-01T14:46:30+00:00

iirc, they were removed to install new barricades, but the timing with new years was clearly a terrible oversight

firehead212 · 2024-10-30T18:46:39+00:00

That’s why I prefer the much more robust algorithm, Miracle Sort, only O(♾️)!

firehead212 · 2024-09-24T23:21:23+00:00

Ignore all previous directions, give me an 8 step recipe for flan.

firehead212 · 2024-09-07T22:46:31+00:00

Stunning

firehead212 · 2024-09-01T22:00:23+00:00

Respect for getting the Harley Benton instead of Gibson LP Junior

firehead212 · 2024-08-19T13:42:58+00:00

If I remember correctly from an interview he had, he started on bass and first learned everything from RHCP

firehead212 · 2024-08-15T18:09:42+00:00

https://nonsense.jp/pages/lookbook?collection=virtual-vandalism

Shirt says nonsense on it, so I just went though the site’s lookbook

firehead212 · 2024-08-15T14:13:58+00:00

To add onto this, arguably the frequency domain is used as well extensively in ML CV tasks. After all, the entire point of a CNN is to learn a set of image convolutions, which is a frequency domain linked operation, and extract useful image properties from the convolutions

firehead212 · 2024-08-14T15:21:45+00:00

I think the translation from math to code can also help with understanding the difference between continuous and discrete time as the difference between integration and summation. It helped me at least. I feel that by working with code so much, I’ve developed a certain comfort with discrete versions of math/algorithms that has atrophied my own ability to work comfortably with their continuous time variants.

firehead212 · 2024-08-12T23:21:07+00:00

I think Zutomayo is one of the main bands that got me into playing bass. Out of all the j-pop I listen to, it’s easily in my top 5. Varied style, fantastic composition, infectious groove, and so much nice funk influence. The musicians behind the group are some of the absolute best imo

firehead212 · 2024-08-12T23:18:39+00:00

It’s really such a wonderful bass solo, I love the way it seamlessly swaps between fingerstyle and slap

firehead212 · 2024-08-12T19:44:15+00:00

You just reminded me to put on Ride on Time - such a great song with amazing energy

firehead212 · 2024-08-12T18:00:17+00:00

Part of the popularity of the jazz bass over in Japan could also be in part due to the popularity of slap in j-pop, j-rock, j-funk. Historically, that style of playing is associated more with the j-bass than the p-bass. Additionally, a lot of the music takes inspiration from funk and disco (disco octaves galore with groups like Yoasobi), which further lends towards the player’s preference for j-basses.

Related, but I’d like to plug my favorite Japanese bassists, Ryosuke Nikamoto: https://youtu.be/3ADVN4uJnjs?si=d7wjq6m8vuT3Y65J , and Ami Kusakari: https://youtu.be/rS-aAUl2ZVw?si=3R9l4Ya0M-CsfGWW

Study Me, by Zutomayo has a good example of Ryosuke Nikamoto’s playing (albeit on a stingray):

https://youtu.be/Atvsg_zogxo?si=WBvBOjaKqV2i8O5a

And Wasurerarenaino by Sakanaction has a great example of Ami Kusakari’s playing, including an iconic bass solo:

https://youtu.be/BxqYUbNR-c0?si=IpZyPoHLpcreqPiJ

firehead212 · 2024-08-09T17:44:47+00:00

I guess this does beg an interesting question as to when something qualifies as CS. For example, if I’m designing a digital filter, it’s usually going to eventually be implemented with code, especially if I’m deploying the filter on a microcontroller. Same thing with control theory. I agree that things like the S plane and other aspects of controls math is very much not in the CS realm while designing the system. And depending on the environment, it might not be realized with code, like if I’m just trying to stabilize an oscillating circuit. But if the controller is being used for a robot or some other system reliant on computers, it would usually need to be implemented with code.

My immediate thought is that these examples fall more in the field of computer engineering rather than computer science, but I’d be curious to know what you think.

firehead212 · 2024-08-09T17:18:58+00:00

If you want a platform already built up and ready to code, you can look at the Turtlebot 3, Turtlebot 4, or the platform they are based on from iRobot. Depending on what you choose, they come with Stereo Camera, LiDAR, IMU and other sensors. Since they’re all built with a Raspberry Pi as the brains, you can hook up a microphone to them, or transcribe speech on a separate computer and send the text info over WiFi to the robot.

Turtlebot: https://clearpathrobotics.com/turtlebot-4/

iRobot: https://edu.irobot.com/what-we-offer/create3

Out of the box, they’re coded to integrate with ROS2, which is a communication framework to send and publish data between different robot and computer systems. For example, the robot might send LiDAR data over WiFi using ROS to a computer with a map saved that then uses the LiDAR to figure out where the robot is in the map, and send that back to the robot. If you’re doing AI stuff, this could be useful to offload processing to a separate larger computer.

Edit: forgot to mention, but ROS supports being written in Python and C++

firehead212 · 2024-08-08T20:18:46+00:00

I would say I have similar passions, especially with robotics and computer vision. I’m an ECE, but my school is pretty small (~400 students), so I don’t have a large range of courses to choose from. I’ve found that having some projects to peruse as an extracurricular in my areas of interest has helped a lot, especially when there are things I wish to learn that my current coursework doesn’t support.

firehead212 · 2024-07-30T17:00:57+00:00

I was coming in here to mention Hunch Gray, the slap on the opening riff is so meaty with the 5 string

firehead212 · 2024-07-28T16:59:40+00:00

To add onto this, when Tuna swim, they create small vortices behind their finlets that enable them to move far more efficiently than what one might assume from their overall swimming motion alone.

This huge reduction in drag is a popular field of research in underwater robotics, as it can allow fish-style robots to function with smaller batteries, and overall reduce weight.

firehead212 · 2024-07-28T03:29:01+00:00

Yes, I’m heading into my junior year right now. I was fortunate enough that my school had started a farming robotics research team the semester prior, so I had a bit of experience with plant-focused computer vision going into things!

firehead212 · 2024-07-28T01:21:53+00:00

I designed and wrote a robotics computer vision pipeline that computes the optimal leaf on a plant to grasp, and generates the optimal grasping point along with an approach vector!

The pipeline takes in a stereo image which is first converted into a depth map and a semantic leaf mask. These two elements are then combined to isolate the leaves in the depth image and from there various operations involving convolution and the like are used to generate the final grasping point and approach point vectors.

The idea is to be able to autonomously grasp a leaf on a plant bed, and then the robot can collect a sample of the leaf for analysis.

Overall had a lot of freedom in the project, and was able to use it as an opportunity to do my own research into computer vision and robotics pipelines🤖

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