HN user
I make stuff! https://github.com/jess-sol
Love TUI apps, hate that there isn't a clean way to control native scrollback. It leaves you stuck between manually managing it via awkward hacks on the current visible screen, or not using it at all. I've been working on an LLM harness TUI for a little while, and this specific part has been the most frustrating (in conjunction with tmux).
I've been working on a graph database in Rust this year actually! I'd love to hear anything you can talk about wrt the query planner and/or how you decided to do cardinality estimation. I decided to go with an EAV graph which makes CE pretty complex, and it's been an interesting challenge to balance quality and speed and expressiveness in the query language
I don't have hard data, but I own 3 air gradients and they've been going strong for years. I don't think it's unreasonable to think they just got unlucky
Yes.
Definitely not. Repealing section 174 (or not extending it, as it were) helped pushed us into a new normal for the market. Adding it back doesn't in and of itself push the market into another new normal, we'd need a lot more. It might take the edge off though, hopefully.
I don't know anything about electronics design, but I'm really into backpacking so a high efficiency battery system with a solar panel is really interesting to me. I came across this project[1], and wanted to improve upon it for my usecase. I want to add the ability to have multiple 21700 cells in a lightweight charger, instead of a single cell with a builtin USB charger. I want to learn more electronics, but it definitely feels like a multiyear process, and it'd be nice to shortcut it for the projects I'm interested in.
1. https://www.reddit.com/r/myog/comments/1k3stln/ultralight_13...
Yeah, I see your point. I'd be surprised of Gaussian Splatting didn't make it into the advertising for Digital Twin services if/when they add it (like Bently's iTwin or Dassault's Virtual Twin). Whether that translates more broadly into the market, I don't know.
On the other hand, I'm playing with the idea of a platform which provides a Gaussian Splat based Digital Twin of an environment so other systems can utilize it to share location-based information. Even though I don't think it'll be possible to build without utilizing Gaussian Splatting; splatting may not end up in any of the pitches or advertising directly.
It's true, Gaussian Splatting is just an alternative to meshing a pointcloud for companies which currently rely on photogrammetry or lidar (Lidar works well as a basis for splatting when there's reference images taken as part of the scan). But I think that misses all the new opportunities that exist with Gaussian Splatting, which really just don't with existing techniques.
Gaussian Splats are able to handle more heterogeneous information sources, allowing more sources to help splat an environment. Devices like drones, surveillance cameras, or autonomous systems can be used to create or incrementally update a Gaussian Splat; and there's interesting work to allow them to locate themselves within the splat, not just to show themselves but also to place vision ML outputs into it (such as object detection or segmentation results).
Up till now nearly all digital representations of physical environments are either based off the original designs (by things like CAD or BIM files), or are an approximation of the environment (from photogrammetry or Lidar scans). CAD and BIM files suffer from drift, the real environment almost never perfectly matches the design files, small (and large) changes are made; and many times those files aren't even available if the structure isn't new. Photogrammetry and Lidar scans struggle because their output is a pointcloud, and it's very difficult to accurately mesh a pointcloud (Matterport only partially solved this problem and sold for $1.6B). Gaussian Splats overcome these issues; they're comparatively easy to generate for any environment, and allow for very accurate and easy viewing from any angle.
I think the Digital Twin space will be turned upside down, and they could potentially even cause huge changes in autonomous and semi-autonomous factories, warehouses, and depots. A single Gaussian Splat could be the source of truth that many autonomous vehicles update through their separate SLAM systems. Operators then would have access to this splat (and it's history) as a source of truth for the environment. Then, using techniques like iComMa[1], it may be possible to directly align XR devices into the Gaussian Splat; allowing operators direct access to location-based information generated by the environment.
That's a lot of words to say: Gaussian Splatting is a very neat new technology that could really underpin many future technologies, I'm really excited about it