One of my favorite features of the Baochip-1x is the BIO. It's an I/O coprocessor that is based on the PicoRV32, with custom register extensions to allow direct access to GPIOs from the ISA.

Read more about the BIO at this blog post: https://www.bunniestudios.com/blog/2026/bio-the-bao-i-o-coprocessor/ I go in-depth into the architecture and its trade-offs relative to the PIO, and conclude by working through a couple of coding examples.

I've released difftastic 0.68! A smaller update, but still worth upgrading:

* Improved Bash, C, Go, Lua, Nix, Perl, Python, Rust, Scala, Swift and YAML parsing.
* Minor display and git compatibility fixes.

https://github.com/Wilfred/difftastic/releases/tag/0.68.0

raven-uxn now has an x86-64 assembly backend (yay!)

and it's about 2x faster (yay!!)

and the first draft was written by Claude (booo!)

and then I rewrote most of it, which made it even faster (yay!)

and introduced a memory corruption bug (booo?)

which Claude is better at debugging than I am (.......?)

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if you too have complicated feelings about our robot buddies, you may enjoy my writeup:

https://www.mattkeeter.com/blog/2026-03-15-uxn/

This is quite awesome - successful Xbox One ROM glitching, by Markus "doom" Gaasedelen: https://www.youtube.com/watch?v=FTFn4UZsA5U

Congratulations!

~6 months ago I posted about how a LiveCTF competitor won a few challenges with a an AI bot in the background.

Since then, I've been seeing versions of the "LLMs have ruined CTFs" discussion occur in bits and pieces, but haven't found anything consolidated... are there any good writeups or discussions out there?

Particularly interested in the area of "what LLMs are not good at" or even anti-LLM techniques beyond attempting prompt injection.

Ivan Fratric shares some tips and tricks for grammar fuzzing

https://projectzero.google/2026/03/mutational-grammar-fuzzing.html

Dabao has launched!!!

Open hardware, firmware, software from @bunnie !

https://www.crowdsupply.com/baochip/dabao/updates/our-campaign-has-launched