ziotom78

Uranium price accounts for just ~10% of the overall cost of nuclear power.

I would add the loose definition of interfaces, because it is hard to tell if you have implemented everything or not. (The compiler does not check, you have to write extensive tests.) It's one of the reasons why I am using Julia only for small personal projects but not for larger codebases.

Congratulations for this new release! Instead of commenting the many improvements, I would like to praise the quality of this Release page: everything is explained clearly, with concrete examples, measurements, and small videos. Bravo!

I would use Guile for that, its documentation about how to use it as a scripting language within a C program is excellent.

It is being used by many projects for this purpose: GNU Cash, Lilypond, GNU Guix... I don't know about games, however.

I was eagerly waiting for this release, which brings full Unicode support.

Congratulations to the team, Chicken Scheme is a little gem!

True, but this is C++23, while the post is about C++20.

This is relevant for solar irradiance but tells nothing about storage capacity.

Exactly

> It is absolutely ridiculous: of all countries, Italy has totally the means to rely only on solar and batteries

Do you have any trustable source for this?

I agree, but I would add that they can be very useful even if you do not have clear expectations but have some solid ways to verify their claims. Often in doing this verification I came up with new ideas.

I fully understand your rant! I pay ~20€/month for the Pro account, as my university has a deal with Microsoft and only seems to recognize Copilot, so it’s very hard to use one own’s funding for paying something else.

I am a physics professor and often use Gemini to check my papers. It is a formidable tool: it was able to find a clerical error (a missing imaginary unit in a complex mathematical expression) I was not able to find for days, and it often underlines connections between concepts and ideas that I overlooked.

However, it often makes conceptual errors that I can spot only because I have good knowledge of the topic I am discussing. For instance, in 3D Clifford algebras it repeatedly confuses exponential of bivectors and of pseudoscalars.

Good to know that ChatGPT 5.5 Pro can produce a publishable paper, but from what I have seen so far with Gemini, it seems to me that it is better to consider LLMs as very efficient students who can read papers and books in no time but still need a lot of mentoring.