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And don't fly


I think there should be a progressive flight tax. The more flights you've taken, the more the next flight should be taxed.

That should allow anyone to do that once-in-a-lifetime trip to a far-away country they've always dreamed of, but discourage people from flying often.

A lot more fuel is needed during take-off and landing than during cruising, making the number and frequency of flights more significant than the distance.


COVID proved that not flying barely made a dent in the global emissions.

Sure, if we never fly again and reverted to living like a medieval peasant, maybe things will kinda work out.


During COVID, airlines flew empty planes back and forth at a loss just to keep the right to their established routes and air ports.


What nonsense. I certainly feel like a medieval peasant sitting in a high speed train crossing a large country while I read a book for a few hours, costing three hours of work at the median salary if you book your ticket far enough ahead. (They also allegedly run on wind energy, but of course that's creative accounting and another industry is simply attributed the corresponding amount of coal/gas electricity.) Traveling is accessible, fast, and comfortable. The main expense is the hotel(s)


And eat vegan and regional produce

And don't build things out of concrete

And better get a few room mates


Flights represent 3% of CO2 emissions. It's nothing. A tiny drop in the bucket.


My impression is that flying on a commercial plane produces less CO2 than driving? So if your only options are drive vs fly, I think flying is the correct choice -- is that right?


It's about 60 mpg per passenger to fly domestically and 90 mpg per passenger to fly internationally.

If you have a family of 4, you can think of it as the equivalent of a 15 mpg vehicle for domestic flight and 22 mpg vehicle for international flight. So somewhere in the range of a full-size pickup truck.

But -- when you fly, you go very far. If you go on vacation to Hawaii from San Francisco once a year with your family, that's the equivalent of driving a Ford F-150 for 5000 miles. If you visit India or China that's 15,000 Ford F-150 miles! In a single trip, more than what most people drive in an entire year!

So you can make a big difference just preferring local vacations instead of remote ones.


It's code for "don't travel, especially long distance"... because most people would simply not be willing to make many trips if the trips took as long as the non-flight option would require.


Really liked it. I'm curious about games for which the guesses are not always a valid solution but can contain special operators. For instance, add a state which is true for 2 different values in Secret Code : 1or2. The code won't contain it but it can be useful for getting more information at each step.


It's really cool. I have always wondered if it would be possible to have video encoders designed for some specific games with prior knowledge about important regions to encode with more details. Example would be the center of the screen for the main character.


Hell, you could do eye tracking and full on foveated rendering.



Location: Lyon, France

Remote: Yes

Willing to relocate: Yes (Europe)

Technologies: Python, C++, CUDA, Pytorch

Résumé/CV: https://ncherel.github.io/resume.pdf

Email: nicolas.cherel@outlook.com

I am a recent PhD graduate in machine learning for image and video processing (diffusion models, GANs). I am a research engineer who writes high-quality code, implements state-of-the-art methods, and pushes the boundaries of existing knowledge when necessary. I have worked in large companies, start-ups, and research institutes.


I guess yes. Having worked on video processing, it's always better if you can stabilize because it significantly reduces the number of unique tokens, which would be even more useful for the present method. However, you probably lose in generalization performance and not all videos can be stabilized.


Location: Zurich, Switzerland

Remote: No

Willing to relocate: Yes (Europe)

Technologies: Python, PyTorch, Cuda, C++

Résumé/CV: https://ncherel.github.io/resume.pdf

Email: nicolas.cherel@outlook.com

I'm a recent PhD graduate in machine learning for image and video editing. I have worked with diffusion models, VAEs, and GANs for images, videos and 3D objects. My skills range from mathematical derivations to Cuda kernel implementation. I like to work on systems that are not monolithic, but have multiple modules that require a high level of expertise. If possible, I'd prefer to work for the creative industries.


> trained from scratch

Not exactly. They mention starting from the VAE from Stable Diffusion XL and the Transformer from Phi3.

Looks like these LLMs can really be used for anything


Pretty cool, comfy ui and community is too cumbersome for me and still results in too much throwaway content


  Location: France
  Remote: Ok
  Willing to relocate: Yes (Europe)
  Technologies: Python, PyTorch, C++, CUDA
  Résumé/CV: https://ncherel.github.io/resume.pdf
  Email: nicolas.cherel@outlook.com
I just finished my PhD in image and video processing. I have expertise in modern machine learning models (transformers, diffusion) for generation and editing. I'm looking for research positions/postdocs in creative industries.


For people asking, it's actually useful for virtual poster sessions.


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