"This is the area where Go genuinely shines, and it’s worth being precise about why"
   "the lack of GC pauses is a genuine selling point"
   "Humans are genuinely bad at reasoning about memory"
   "There are cases where the borrow checker is genuinely too strict"

> After a disorienting visit from the FBI in May of 1990, I wrote a rant called Crime and Puzzlement, which led to my establishing with Mitch Kapor (who had previously founded Lotus Development Company) an organization called the Electronic Frontier Foundation.

> Now, after almost two years of operation...

I am hopeful deterministic output will return, though; DeepSeek v4 claims to have implemented "bitwise batch-invariant and deterministic kernels," though I haven't tested it myself.

Sufficiently-developed attention gives you insight into how your brain is constructing what you perceive as reality, leading to a reduction in ego, permanent reduction in baseline suffering, and a pervading sense of unity with the rest of the universe.

At least they're throwing consumers a bone via the ARK deal. It's crazy how little AI exposure is available to anyone who isn't already wealthy and/or connected.

This is emphatically not fundamental to LLMs! Yes, the next token is selected randomly; but "randomly" could mean "chosen using an RNG with a fixed seed." Indeed, many APIs used to support a "temperature" parameter that, when set to 0, would result in fully deterministic output. These parameters were slowly removed or made non-functional, though, and the reason has never been entirely clear to me. My current guess is that it is some combination of A) 99% of users don't care, B) perfect determinism would require not just a seeded RNG, but also fixing a bunch of data races that are currently benign, and C) deterministic output might be exploitable in undesirable ways, or lead to bad PR somehow.

I'm part of the effort to decompile Super Smash Bros. Melee, and a fellow contributor recently wrote about how we're doing agent-based decompilation: https://stephenjayakar.com/posts/magic-decomp/

You are in danger. Unless you estimate the odds of a breakthrough at <5%, or you already have enough money to retire, or you expect that AI will usher in enough prosperity that your job will be irrelevant, it is straight-up irresponsible to forgo making a contingency plan.

The best models already produce better code than a significant fraction of human programmers, while also being orders of magnitude faster and cheaper. And the trendlines are stark. Sure, maybe AI can't replace you today. Maybe it will hit that "wall" people are always forecasting, just before it gets good enough to threaten your job. But that's a rather uncomfortable proposition to bet a career on.

What happens when businesses run by AIs outperform businesses run by humans?