Sometimes I have a problem, I just generate bunch of "possible solutions" with a constraint solver (e.g. Minizinc) which generates GBs of CSVs describing bunch of solutions, then let DuckDB analyze which ones are suitable, DuckDB is amazing.

It all depends on how powerful computers you want to support, if you assume your users will allow WebGPU use and your application needs 2D or 3D graphics (or more niche, GPGPU compute) imho Godot engine is actually pretty good to develop any web app (not just games) since it can compile its shader language down to WebGPU. Again, you'll probably need to write most of the code in C++ and compile to WebAssembly, which is pretty doable with Godot. If you just need graphics and very light CPU processing, GDScript will be enough. Once you do this you still need to wrap the webpage as a desktop app, I think Chrome browser has tools that can help with that.

The other obvious way is to use something like Electron and writing most of the code in Javascript. This will probably get you far if you need something simple but the memory and CPU usage will be much higher than necessary. Since the app ends up being so bloated, I personally don't like things approach, but apps like VSCode exist.

* Creative writing: Gemini is the unmatched winner here by a huge margin. I would personally go so far as to say Gemini 2.5 Pro is the only borderline kinda-sorta usable model for creative writing if you squint your eyes. I use it to criticize my creative writing (poetry, short stories) and no other model understands nuances as much as Gemini. Of course, all models are still pretty much terrible at this, especially in writing poetry.

* Complex reasoning (e.g. undergrad/grad level math): Gemini is the best here imho by a tiny margin. Claude Opus 4.1 and Sonnet 4.5 are pretty close but imho Gemini 2.5 writes more predictably correct answers. My bias is algebra stuff, I usually ask things about commutative algebra, linear algebra, category theory, group theory, algebraic geometry, algebraic topology etc.

On the other hand Gemini is significantly worse than Claude and GPT-5 when it comes to agentic behavior, such as searching a huge codebase to answer an open ended question and write a refactor. It seems like its tool calling behavior is buggy and doesn't work consistently in Copilot/Cursor.

Overall, I still think Gemini 2.5 Pro is the smartest overall model, but of course you need to use different models for different tasks.

There are countless sources one can get a string from. Surely you don't think filesystems are the only source of strings?

I think dominating on a first date is a risk (which I was mindful of) but just being yourself, and talking about something you're truly passionate about is the key.

Imho public library systems in US cities are absolutely incredible, and arguably one of the best perks of living in the US period.

On the other hand, I do prefer using Claude 4 Sonnet on very open-ended agentic programming tasks because it seems to have a better integration with VSCode Copilot. Gemini 2.5 Pro bugs out much more often where Claude works fine almost every time.

A module is the "same" thing as a vector space (that we all know and love), except the underlying scalars are ring, instead of field (i.e. no division, e.g. integers). So it's like linear algebra when your scalars are stuff like integers or polynomials.

I love Rust, I'm a fan of writing it and I love the tooling. And I love to see it's (hopefully) getting more popular. Despite this, I'm not sure if "won" is the right word because to my very uneducated eyes there is still considerable amount of Rust not succeeding. Admittedly I don't write so much Rust (I should do more!) but when I do it always baffles me how tons of the libraries recommended online are ghost town. There are some really useful Rust libraries out there that weren't maintained for many years. It still feels like Rust ecosystem is not quite there to be called a "successful" language. Am I wrong? This is really not a criticism of Rust per se, I'm curious about the answer myself. I want to dedicate so much more time and resources on Rust, but I'm worries 5 to 10 years from now everything will be unmaintained. E.g. Haskell had a much more vibrant community before Rust came and decent amount of Haskellers moved to Rust.

https://en.wikipedia.org/wiki/Unicode_subscripts_and_supersc...