I object to the "late" argument made by etho's parent. The difference in time to destination will inevitably be dominated by lights, in city travel, not by modest speed differences (say 45 vs 55) on a highway. Being safe & out of the way is the trick! It would be nice if we got rid of left & u turns and build our roads for that!
I don't know code examples, but this tracks, for me. Anytime I have an agent write something "obvious" and crazy hard -- say a new compiler for a new language? Golden. I ask it to write a fairly simple stack invariant version of an old algorithm using a novel representation (topology) using a novel construction (free module) ... zip. It's 200loc, and after 20+ attempts, I've given up.
GPT likes to argue, and most of its arguments are straw man arguments, usually conflating priors. It's ... exhausting; akin to arguing on the internet. (What am I even saying, here!?) Claude's a lot less of that. I don't know if tracks discussion/conversation better; but, for damn sure, it's got way less verbal diarrhea than GPT.
Yes, GPT5-series thinking models are extremely pedantic and tedious. Any conversation with them is derailed because they start nitpicking something random.
But Codex/5.2 was substantially more effective than Claude at debugging complex C++ bugs until around Fall, when I was writing a lot more code.
I find Gemini 3 useless. It has regressed on hallucinations from Gemini 2.5, to the point where its output is no better than a random token stream despite all its benchmark outperformance. I would use Gemini 2.5 to help write papers and all, can't see to use Gemini 3 for anything. Gemini CLI also is very non-compliant and crazy.
Then ... you find out that smoking was introduced to the new world in the 16th c, and indigenous North Americans didn't start using the bow & arrow ubiquitously until after the year 1000. But! Native North Americans were using copper contemporaneously with the old world.
So... every company only hires the best!? I jest, I jest!
In general, I've found that the younger engineers (20s, up to 30s) have a lot of vim & vigor; but, even the very best ones generally do a lot of spinning-in-place, when they think they're making progress. Almost anyone above a certain level -- call it the 30–40% mark (it's low!) -- can be raised up to be a competent engineer. Probably what'd be called an "an A- or B+" player? That's just part of a good training & onboarding regime; although, it can take 1-3 years, depending on the person. Very good "natural" talent can definitely boost top performance to an A+, but it won't substitute for literal time-under-stress of delivering high quality product-ready code to clients.
Highly recommend not doing this in production code. If nothing else, there's no compiler protection against offset+size being > total size, but one could add it with a static assert! (I've done so in the godbolt link)
You might want to have a look at the unboxing and packing annotations that are proposed for Virgil. The unboxing mechanism is implemented and there was a prototype of the packing mechanism implemented by Bradley for his thesis. I am working on making a more robust implementation that I can land.
I'm curious if some of the bits in your data types are "control bits" that determine what the format of the other bits are. If that's the case, then it sounds like an algebraic data type would be a natural way to express it. If you read the linked paper, algebraic datatypes in Virgil can have different encodings for the cases. As long as the cases are distinguishable via a decision tree, it should be possible to just describe the formats declaratively and have the compiler do all the encoding/decoding/matching.
Bitfields are kind of a fake feature because they can't be individually addressed like variables can. So they just turn into inlined getters and setters. Old compilers could not inline arbitrary short functions so bitfields were required as an extra hack, but this is no longer the case today.
Ballpark figures based on the ram earth construction for TGE vs AOT would have the AOT wall be 5-10x the volume & mass of the TGW. The issue is labor — the Great Wall probably represents 20–100 million ma years of labor. The AoT wall probably has at most 100k man years of labor it could've pulled from. That'd mean it's labor-mass ratio is off by 1000–10000x.
This gets into spoiler territory, but the walls in Attack on Titan weren't made with human labor. The first hint that something funky is going on was at the end of the first season finale, but we don't get the full story about the walls until much later.
It also was built when Marley was still very much a massive empire. So it wasn't limited to the manpower inside the walls. This is clear from how many of it's actual construction materials were used.
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