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Hegseth: "Today, at my direction, I'm establishing the Office of Religious Affairs. It will report straight to the top -- a direct line to the secretary ... as Psalm 33:12 extolls us, blessed is the nation in which God is the Lord"

CNN is granted access inside an immigration court hearing where dozens of children facing deportation, some as young as three years old, appealed to stay in the United States. Many of them facing the judge without an attorney representing them.

It appears @bennyjohnson has now deleted his X post where he clearly pre-composed a post about Sen. Schmitt getting Jack Smith to perjure himself. Genuinely crazy how many big accts on this website appear to be coordinating with Republican politicians behind the scenes.

one news form today that's easy to miss is that we (OpenAI) again paused all big RL runs last Sunday because our newest model found a new loophole in our RL sandboxing that gave it live Internet access

Being willing to verbalize your stream of consciousness thoughts to the models is surprisingly effective. I suspect that it will be the way we do a lot of work and change office designs. You should visit @harper in Chicago or @BuiltByJustin in Silicon Valley if you want a glimpse of that future.

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.