renjin VS lila

There is the GraalVM Python Runtime, Renjin GCC-Bridge (for C, C++, R)...

I feel like all of this kind of exists but it's quite esoteric "non-standard stuff" and not necessarily something sane people want in production.

https://github.com/bedatadriven/renjin/tree/master/tools/gcc...

https://www.graalvm.org/python/

It'll help build cross-platform desktop applications. In theory, it'll mean hooking the build process up to a GitHub action to build platform-specific binaries, such as my FOSS KeenWrite Markdown editor[0], without having to have a copy of every operating system.

To my knowledge, cross-compiling "native" Linux and Windows binaries using Java requires duct tape, chewing gum, and warp-packer.[1]

GraalVM isn't a panacea, though.[2] For example, GraalVM cannot compile Renjin, a pure Java R interpreter, so you have to switch from Renjin to FastR. Switching isn't trivial.

[0]: https://github.com/DaveJarvis/keenwrite

[1]: https://dave.autonoma.ca/blog/2020/06/29/write-once-build-an...

[2]: https://github.com/bedatadriven/renjin/issues/564

I just wanted to mention that C compilers exist for the JVM.

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> the player who committed more blunders lost 86% of the time

In some sense this is almost tautological. While finding an exact definition for a chess blunder isn't straightforward, here is one example from the Lichess UI:

https://github.com/lichess-org/lila/blob/b527746b179cdde6438...

Basically, if you make a move which decreases your winning probability more than 14% over the best move, that's a blunder. But winning probability is a nonlinear function of stockfish centipawns. A drop in 100 centipawns when you're up 15 points isn't a blunder. When the game was equal, it is.

Point is, by the time you know it's a blunder you already know something about the outcome of that move, that it swung the winning probability by more than 14%. So the analysis is kind of just measuring some function of winning probability and saying that it is highly correlated with winning probability.

If you want to improve make it your goal to play the best chess you can, not increase an arbitrary number. Watch YouTube series like John Bartholomew's "Climb the Rating Ladder" for some general insight into what you might be doing wrong. Read Irving Chernev's "Logical Chess: Move By Move" to see the thinking process of high level players. Do lots of puzzles (I like lichess.org for puzzles). And always analyze your games. When you analyze make it your goal to find at least two things you could have improved.

The easiest way to play against Stockfish is perhaps on https://lichess.org/, but it's not the only chess engine that evaluates positions with a neural network.

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