I'm documenting how we're building with AI at my product development studio (@_HouseofGiants). There's a lot of risk involved, and I didn't want it to turn us into a content farming spam machine... Meet Krang. x.com/Magnificode/status/206…

My brother in Christ you can just write the code yourself. Or you should be able to. Or use 5.5 if you don’t want to. Everyone has lost the fucking plot.

This is the way

Wow, the government one-shotted Fable

Well here’s the thing….

Guys there’s no chance Anthropic would amp up their model as “too powerful” to get the government’s attention, soft release it to the public anyway with the expectation that the fucking wrinkled goblins in government would have their great grandkids show them how to hack into their Facebook accounts, completely overreact, and then get shit like GPT5.5 banned too, right? RIGHT?!

The ineptitude of these fucking crypt keepers in the government when it comes to governing technology is hysterical.

Fucking lol

Claude's Fable just hit me with a "works fine in my browser". We've truly achieved AGI.

twitter's best worst quality is that it forces all takes into an extreme you're either a tokenmaxxing inferencel looping your agents or you're a promptchud the truth lies somewhere in between you absolutely should have agents that can reproduce problems in your products, look for optimizations, automatically open PRs on issues software has never been perfect, even before AI bugs still made it to production, the more of these you can catch and can fix automatically the better at the same time, the underlying engineering still does matter - i just spent 3 days fixing some bad product design and architecture that i originally tried to defer to agents to implement if i wasn't looking at the code, or i was just trusting loops to fix it, my product would be stunted in quality because i would've just kept digging myself into a worse path anyways, setup your loops but prompting your agents is also fine - get the balance

AGENTS•md IS the standard

the four horsemen of the apocalypse

Awesome idea and execution.

The more I mess around with AI the less interested I am in ten agents doing ten different aspects of the business. I'm way more interested I am in one that recalls enough context to be effective at helping make decisions.

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.

Dang, in a month Anthropic fixed the internet to the point where Mythos is no longer too dangerous to release. Glad there was no fear mongering around this at all...

This is true. If you look at what Anthropic themselves do well, it’s marketing. If you look at what they do poorly, it’s anything code related.