Generational level of cope going on right now by software engineers that AI has not affected them, is not affecting them, and will not ever affect them

has anyone tried pointing a harness to an SNES ROM for a reverse engineer / Rust rewrite? Mega Man X written in Rust currently floating around in my dreams...

Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

Bun 1.4 - Fixes over 2,900 GitHub issues - +1,517 tests from the Node.js test suite - Reduces idle CPU by 5x - Reduces memory usage by up to 35% - Starts up to 50% faster on Linux - Rewrites Bun in Rust Thank you everyone who contributed since Bun 1.3! bun.com/blog/bun-v1.4

Good review of Grok 4.5

For years, I thought DynamoDB was both brilliant and convenient. - Schemaless - Serverless - Cheap What's not to like? Well, turns out, it's only cheap for a while. And the schemaless nature of DynamoDB quickly starts working against you... One of the stupidest decisions I made. Instead, I ditched DynamoDB and went with some boring old tech. Let me explain 👇

I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem. As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)! I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work. It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results? 88ms => 1.5ms 150K allocs => ~500 allocs Incredible right? Nope. My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path. This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput. The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity. Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.

Mar 6: 167 lbs ( -12% ) Apr 14: 156 lbs ( -18% ) May 21: 151 lbs ( -21% ) v close to goal weight