aaraujo002

I am European, and I feel the same way.

Europe has been anti-innovation for a long time, completely missing the tech wave in the 2000s. I was hopeful that Europe would learn from its past mistakes, but now it is also completely missing the AI wave and falling behind.

The politics are bad, way too user-centric (see Arthur Mensch complaining about AI regulation), and the European mentality does not help. The social safety net is strong, which is good, but perhaps too generous given the state of the economy. Without sufficient economic growth, it becomes unsustainable, leading to a lower and lower quality of social benefits.

People complain, rightly so, that things were better before, but nobody does anything or even seems to understand that innovation and economic growth are what fuel everything.

I am very bearish on the state of Europe, which, as a European, makes me sad.

Disclaimer: I have immigrated to the US.

OP’s link is the statement on the events of the last few days. Tristan Buckmaster also released mathematical papers alongside this statement:

https://mastodon.social/@tristanbuckmaster/11723341370570119...

And here are Terence Tao’s comments on the results: https://mathstodon.xyz/@tao/117233527638291447

They released the code here: https://github.com/anthropics/fermats-last-theorem

This is a position paper. Its purpose is to advocate for a specific viewpoint to the ML community.

From [1]: "Position papers make an argument for a viewpoint or perspective about what should be done [...]"

[1] https://icml.cc/Conferences/2026/CallForPositionPapers

The model should perform better with JSON prompts than with natural language prompts. The safety filter may also be triggered incorrectly by natural language prompts, we are aware of this and will make a future checkpoint update to improve it.

See how to prompt the model here: https://github.com/ideogram-oss/ideogram4/blob/main/docs/pro...

Disclaimer: I work at Ideogram.

I am filing an EB1-A petition with a law firm. The law firm says that based on their recent experience, EB1-A cases that have requested Premium Processing (PP) have a lower approval rate and a higher RFE rate.

While the statistic may be true, is there a causation between PP and RFE/denial or is it just that cases created in a rush with PP might simply get more RFE or denial?

Thanks

Hi Peter! I am an ML postdoc with ~200 citations and a few papers at top ML conferences. I would like to apply for the EB2-NIW and I am wondering if it is really necessary to go through a lawyer. I have heard from a few people online who have wrote the petition themself, but from what I have gathered, most people go through lawyers. What would you recommend? Thank you.

It is worth noting that circulant matrices are 1-dimensional convolutions with circular padding, and their properties can be extended to doubly-block circulant matrices, which are the 2-dimensional equivalent. The eigendecomposition of doubly-block circulant matrices has been exploited in the context of robustness and stability in deep learning [1, 2, 3].

[1] The Singular Values of Convolutional Layers

[2] Orthogonalizing Convolutional Layers with the Cayley Transform

[3] Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

Hi Peter, I will be starting a postdoctoral position on a J1 visa in a few months. My wife will get the J2 visa which will allow her to travel to the US. Can she apply for the EAD while in the us temporarily and return to Europe to continue working for her company while waiting for the validation of her EAD? Do you know the waiting time for EAD at the moment? Thank you for your help.

This is very interesting. However, our lifestyle is not very linear, meaning that we can have some period more stressful than over. In this context, how do you deal with confounding variables ? For example, if my inflammation levels decrease in the next few weeks, it might be because I took some ginger everyday but it might also be because I had a less work and therefore more sleep.

Life is short in a sense that I know I won’t have time to learn about everything there is to learn. I won’t have time to study and understand the proof of Fermat Last Theorem, the latest breakthroughs of physics. I won’t be able learn piano like a professional or violin. I know that I won’t have time to read many classic of literature, etc. I can choose to do certain things but now I have to choose where to focus my time.

IMHO these books are not used for research. In order to contribute to research you need to be at the cutting edge of the existing contributions which are the most recent papers. On the other hand, these kind of books are useful because there are a huge aggregation of past research and it is based on these kinds of ressources that professors make their courses and that undergrads and graduates students learn.