northzen

It's like the sudden change of a language style and its verbosity didn't happen recently.

To random words you pick and provide a sufficient amount of text to vary with random number without losing its meaning you need a text with high entropy.

It's watermarking.

This style provides a high entropy basis distribution, so they can from a bigger pool to pick from and phrases to watermark the sentence.

You have much bigger variation of this idiotic phrases and words, which states a simple fact in that sophisticated and twisted manner.

Give me an example how would you watermark a single short sentence like "I like turtles"?

> As far as I know, anthropic aren't intrinsically motivated by watermarking (if anything it hurts sales, and seems indifferent to safety(?)) they're simply doing it to fulfill the EU obligations.

They are. They want to reduce the amount of LLM generated text they feed into their next model training.

Also, how would you watermark a sentence with just 3 words for an example? This exactly why it became so verbose.

I know Adel from a professional community, but I've followed his work for a while and it's the real thing. I would defenitely recommend him if you are looking into programmer who is deep into compilers and RUST. On top of that he is also agile, curious guy, who had a chance to play with various technologies.

Location: Prague, Czech Republic Remote: preferred, but office in Prague is also fine

Willing to relocate: some EU countries only

Technologies: Python, C++, 3D Computer Vision, Camera Calibration, Photogrammetry, 3D Gaussian Splats, LiDAR, Julia

Résumé/CV: https://www.linkedin.com/in/ilia-shipachev

Email: [email protected]

Computer Vision engineer and former Product Owner at Mosaic (geospatial imaging). Background in applied mathematics; spent 5+ years on 3D reconstruction, SfM pipelines, multi-camera calibration, and LiDAR processing. And another 4 years before as an embedded engineer processing sensor data.

I've built calibration and processing pipelines for panoramic camera systems. Delivered large-scale photogrammetry projects for VFX clients including Netflix and Apple TV — hundreds of thousands of images per reconstruction. Owned products across calibration, image processing, and LiDAR pipelines end-to-end, provided support to the clients, and was responsible for communication with other HW and FW teams, including planning and roadmap discussions.

Now independent — focused on novel 3D reconstruction methods, calibration and Gaussian Splatting. Open to co-founding / product-engineer roles or consulting on hard Computer Vision problems. Short form of project based cooperation is also doable.

In my current job-free time I'm exploring Julia, Geometric Algebra for computer vision.

Location: Prague, Czech Republic

Remote: preferred

Willing to relocate: some EU countries only

Technologies: Python, C++, 3D Computer Vision, Camera Calibration, Photogrammetry, 3D Gaussian Splats, LiDAR, Julia

Résumé/CV: https://www.linkedin.com/in/ilia-shipachev

Email: [email protected]

Computer Vision engineer and former Product Owner at Mosaic (geospatial imaging). Background in applied mathematics; spent 5+ years on 3D reconstruction, SfM pipelines, multi-camera calibration, and LiDAR processing. And another 4 years before as embedded engineer processing sensor data.

I've built calibration and processing pipelines for panoramic camera systems. Delivered large-scale photogrammetry projects for VFX clients including Netflix and Apple TV — hundreds of thousands of images per reconstruction. Owned products across calibration, image processing, and LiDAR pipelines end-to-end, provided support to the clients, and was responsible for communication with other HW and FW teams, including planning and roadmap discussions.

Now independent — focused on novel 3D reconstruction methods, calibration and Gaussian Splatting. Open to co-founding / product-engineer roles or consulting on hard Computer Vision problems. Short form of project based cooperation is also doable.

In my current job-free time I'm exploring Julia, Geometric Algebra for computer vision.

Hi!

I'm curious to hear about your work geometric optics with PyTorch. May I ask you to share some examples of something you are working on right now?

I think the best compromise would be to get the best of two words. By default perform bound checks, but have a compiler flag which skips it. Might broke many programs written with default behaviour in mind, but allow perform additional optimizations.

Hi ziotom! I wonder about you work in 3D Cifford Algebras. May you share some links to the research you do? I also have interest in this topic I research on my own.

Just in case if you don't want to disclose your name my email is [email protected]

Location: Prague, Czech Republic

Remote: preferred

Willing to relocate: some EU countries only

Technologies: 3D Computer Vision, Camera Calibration, Photogrammetry, 3D Gaussian Splats, LiDAR, Python, C++, Julia

Résumé/CV: https://www.linkedin.com/in/ilia-shipachev/

Email: [email protected]

Computer Vision engineer and former Product Owner at Mosaic (geospatial imaging). Background in applied mathematics; spent 5+ years on 3D reconstruction, SfM pipelines, multi-camera calibration, and LiDAR processing. Built calibration pipelines for panoramic camera systems. Delivered large-scale photogrammetry projects for VFX clients including Netflix and Apple TV — hundreds of thousands of images per reconstruction. Owned products across calibration, image processing, and LiDAR pipelines end-to-end.

Now independent — focused on novel 3D reconstruction methods and Gaussian Splatting. Open to co-founding / product-engineer roles or consulting on hard Computer Vision problems. Short form of project based cooperation is also doable.

In my current job-free time I'm exploring Julia, Geometric Algebra for computer vision.

To machine. It just easier to be polite by default than split our language into two forms "I speak to human" and "I speak to machine". Because the chat interface is really close to what we see when we speak to human. Well, exactly the same.

> It's about the fact that AI can be used to extract value from other artists' work without consent, and then out-compete them on volume by flooding the marketplace.

What do you think about The Prodigy?

Use pixi (whici is build with uv) and use its "global". It should solve what you wanted to solve: https://pixi.sh/dev/global_tools/introduction/

Use pixi or uv to maintain this specific environment and separate it from the global one

Why don't you use pixi, which has the best from these worlds?

Why don't you use pixi?

One day you will discover Internet and how advantageous it is for scammers and malware authors.

Wtf is this argument even about? Knife is advantageous for robbers. Phone calls are advantageous for scammers.

Your existence is advantageous for many malicious agents.

So what?

I heard that Internet on its own is a home of underage media, drug deals and Russian hackers. I guess we need to rant about it also, right?

Still better and more feature rich than WA.

I used to observe the increased sensetivity to noise during my epresssion periods. Observe the same problems also with bright light. What may actually help here is psychologist / psychiatrist and therapy or medication. I'm not a doctor and maybe your problem not related to yours, but I just wanted to share the direction which helped me to decrease sound sensetivity.

But ones you are in company which does it right you start appreciate all good things it brings.

I haven't seen working communism though and never heard about it.

Also instagram allow you to see your feed in chronological order. And if you reopen it you still can see all posts (except ad) in the same order and on the same place they were.

Also zig is a good example of not a scripting language which does this job.

How about prefix then? https://prefix.dev/blog/uv_in_pixi

Oh, cmon

"Democrat Biden warns against rushing out coronavirus vaccine, says Trump cannot be trusted"

https://www.washingtonpost.com/politics/biden-trump-coronavi...

Simple.

Diversity is good. People who enforce it for the sake of diversity and build their careers around it are bad and essentially parasitic.

> However, I can speak to diversity being a huge win

For the sake of example, let's substitute diversity for wealth.

Wealth distributed equally and justly is good. People who feel they must control the distribution of wealth because of the injustice of the world are evil. And their practices are evil. And the actual implementation of those practices only leads to more injustice and evil.

Maybe I'm stupid but with the link opened I struggled to understand what musicaire does.

Thank you!