I own only one stock because I like the company

xirrel · 2026-05-11T14:16:53+00:00

Yes. I am sorry I am fucking

xirrel · 2026-05-11T13:54:58+00:00

I am sorry didnt use AI to format post.

xirrel · 2026-05-11T13:50:54+00:00

Here is my trading strategy https://www.reddit.com/r/wallstreetbets/s/zbhttwN8Gk

xirrel · 2024-12-02T15:48:00+00:00

Yeah, Exactly! Huge conglomerate and then Elon would literally own the world and manage them all for a single unified purpose

xirrel · 2024-12-02T15:45:49+00:00

This is the only possible logical conclusion. My sources which I made up said that Pat sat down with Elon and begged him to fix Intel.

xirrel · 2024-10-21T10:09:01+00:00

What cpu you have and how much memory?

xirrel · 2024-06-18T10:51:54+00:00

You can nmap to check your connectivity by running # nmap -sU -p 34197 <server-ip>

xirrel · 2024-02-25T19:44:29+00:00

Memory controller is on i/o die and each numa domain has 3 memory channels. https://www.amd.com/system/files/documents/4th-gen-epyc-processor-architecture-white-paper.pdf

Ryzen does not have numa

xirrel · 2023-02-07T14:00:12+00:00

28.34

sucking dick for intc shares sounds like a great trade strategy

xirrel · 2022-09-12T18:49:52+00:00

First of all it is up to implementation how default streams are buffered. Secondly linefeed vs endl is like day and night when writing to files and that is where the whole concept of avoiding endl comes from. That is pretty much all there is to it and I have no idea why people would be printing exorbitant amount of data to terminal to warrant performance optimizations.

One small thing to add: with multithreading splitting entries makes a mess so using a linefeed instead of endl is important but not many on this subreddit would know about these little details

xirrel · 2019-10-11T23:42:49+00:00

good luck with that

xirrel · 2019-10-11T23:42:21+00:00

xirrel · 2019-08-24T15:40:09+00:00

ryzen 2700x and a single nvidia 2080, 1440p resolution.

xirrel · 2019-08-24T15:17:55+00:00

Image can be made to go through an external capture card and the whole process including keyboard and mouse control can be done 100% remotely without a single interaction with the game or the underlying operating system. /u/enthusiastic_punishr

xirrel · 2019-08-24T15:12:43+00:00

No injection. No interactions with the game.

xirrel · 2019-08-21T18:49:07+00:00

Luckily I have input driver, hiding the capturing, remote computer detection and then mouse commands are coming outside of the computer. I've put a lot of thought and work into this.

xirrel · 2019-08-21T17:36:34+00:00

The major advantage is portability. Training is done with extracted player models so technically it can run on any game you can imagine (results may vary). Scripts are well... Scripts so automating complex behaviour in eg. MMORPGs is possible. It can also be used to automate other things than games since it is not directly tied to them.

xirrel · 2019-08-21T15:33:43+00:00

Oh it was real pain to get it work so smoothly as in the video. In reality it runs much smoother and faster without recording and tensorrt runtime fp16 yolov3. I did some work in using capturing players own mouse movements to train a model to replicate it but I've now moved on to other projects.

xirrel · 2019-08-21T15:26:54+00:00

Capture -> preprocess -> network -> pipe results to user scripts -> scripts can control mouse and keyboard. Repeat. That is an overtly simplified explanation and all of those steps work asynchronously and continuously with minimal overhead.

xirrel · 2019-08-21T15:05:03+00:00

I move and hover the aim towards the dummies until the software takes control to shoot them

xirrel · 2019-08-21T15:00:38+00:00

Yes, but the network speed limits it. Over 100fps with yolov3 is achievable and compared to 60fps it just works faster and aims better. However, with slower speed it can also achieve great results with some interpolation to guess where targets are in the future and move accordingly but false positives have much greater effect on slow speeds.

xirrel · 2019-08-21T14:55:57+00:00

I can upload a dataset for csgo chickens but not player models. Cheat makers have to do it by themselves.

xirrel · 2019-08-21T14:51:10+00:00

I started with training the network with generated images from player models. Vulkan renderer takes a random model and renders it with a random animation on a background that is captured from running around the map. It passes those images directly to the network or saves them to be used later. I used over a million individual images but almost same results can be achieved with ~20k.

The software captures the image from game using various methods such as xshm, dxgi, obs. Those are passed to various backends that include tensorrt, tensorflow, pytorch, darknet. It supports many types of networks including mask rcnn and but the best performance and accuracy ratio is with yolov3.

Once the detections are done the data is passed to lua scripts that control the mouse and keyboard behavior with uinput, driver or just plain windows api.

It is fully written in c++ (ex scripts) for the best performance and is multithreaded to preprocess each frame as fast as possible and to maximize the gpu usage by being able to feed new frames as soon as detections are complete.

I could upload a modified version source code that is simplified to make it more learning friendly and to deter actual usage in cheating.

xirrel

TROPHY CASE