Happy Birthday Emmett! Such a talented musician, I highly recommend a listen :)
Hey guys its my birthday! Please listen, like and hype my new song for my bday pls! Would be the greatest gift
youtube.com/watch?v=VK9g7pbi…
Mitchell the goat. Maybe my #1 software hero.
Replying to @valvesxyz
I like to look at claims like this in case I can improve Ghostty. I grabbed your source and immediately spotted the issue: your read loop overwrites a 64 KiB ring. Everything older is discarded unparsed per tick. You're faster because you're not actually terminal emulating.
It means the number isn't a throughput number. In a kitten benchmark run at the rate you're claiming, roughly 6.6 MB arrives per 60 Hz tick and 64 KiB of it gets parsed. You're read(2)-ing 100% of the data and parsing about 1% of it.
There are other minor issues (a small fixed scrollback in a preallocated ring buffer, no grapheme clustering, throwing away data like OSC 8 URIs, etc.), but the major one is simply that you're discarding ~99% of the input.
For plain text, e.g. your cat benchmark, the final screen ends up looking right, but the scrollback is missing 99% of the file and each retained chunk starts mid-line. As soon as there are escape sequences in the dropped spans, your emulator is fully out of sync and invalid: a cut inside a CSI prints the parameters as text, and any SGR, mode, title, or alt-screen change in the gap is just... gone.
FYI, this is why I don't like when people point at refterm as a terminal benchmark. refterm implements a TINY subset of what a terminal emulator must support, it's closer to a fast file reader, not a terminal emulator.
I also don't mean any shade by this. I like to look at technology objectively to try to learn something and improve my own craft and work. So I'm sharing what I found.
I modified your code very slightly to parse on every full buffer (rather than per tick). And the results are attached. Both use main commit in each repo at the time of this post.
Note the graph is in log scale, the discrepancy between performance for things like Kitty images is measured in GB/s.
one of the most interesting youtube channels i've come across recently youtube.com/@Sholto_David
roastedb retweeted
guys.. guys.. i just learned you can you can decompile menus and make food at home
restaurants are so cooked
roastedb retweeted
The reality is nobody knows what AI usage is going to look like in five years. I say, stop worrying about any fear-mongering marketing tactics and just learn cool stuff.
Learning and discipline are timeless.
roastedb retweeted
Prediction: organised religion is going to come roaring back as a response to loss of meaning in post AI world. The catholics recognise this and are getting ahead of the game
i want to try to understand 3d games so i'm building a minigolf game for the wife and i to play using raylib. avoiding ai assistance and doing things the old fashioned way, by reading things myself
i get the dumb robot to pick a theme and wallpaper for my desktop every sunrise/sunset, based on the time of year and weather
This is like, the total opposite of what we should be doing with ai
Introducing Griffin, the first model to pass the video Turing test.
48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video.
It’s the first Human Interaction Model (HIM).
Readers added context they thought people might want to know
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard.
cellcog.ai/blog/tavus-gri…
research.nvidia.com/labs/amri/proj…
tech-ish.com/2026/10/02/tav…
roastedb retweeted
Even with all the advancements in AI, and everyone being able to “ship” faster, I still think you can always tell the difference between something that’s been rushed and something that’s had real time, thought and craft put into it.

















