An extremely interesting perspective from my coworker/friend @graphitemaster on LLMs/Claude:
Having a lot of experience now using Claude both personally and professionally and seeing others use it in both those contexts, I'm convinced that it's output is very much a reflection of who uses it.
The floor of who can make something with it has been lowered significantly, but the ceiling is still only reachable by those who are skilled in the domain and able to guide it. It can navigate much of the simpler aspects of the domain on its own that once required a skilled professional, but it struggles to navigate on its own for anything beyond that, requiring professional input.
In some respects this means that our idea of what was once technically impressive is sort of misaligned now, but the idea of technically impressive and excellent work is still very much alive and real, it's just now that much more higher. In much the same way that high-school students can walk circles around Euclid and Archimedes today.
The aspects that make computing and programming both interesting and a skill that takes time have not gone anywhere, they're just far more demanding now than they ever will be and there's no doubt in my mind that this will ever change.
What I think this means for the @handmade_net community, and to a larger extent this industry as a whole, is that unless you're striving to do your own frontier work, or at least something close to that, anything you produce is going to have that err that Agentic tools could've produced it.
To me this signals that the personal programming journey of people needs to shift towards a much higher bar of technical excellence. It's the same outcome of any field that matures.
Decades ago you could cut it being a graphics programmer, these days you need to be incredibly skilled in the physics of light transport to deliver anything compelling, not to mention the amount of systems engineering experience you need as well to manage these vastly complex pieces of highly parallel hardware. This is no different.
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Tangentially: the only reason OP is able to "stop looking at assembly" is because a bunch of other people still do. There are compiler codegen bugs constantly, but OP never knows about them because other people who do read ASM find, report and/or fix them before they cause too many downstream problems.
Another way to say this is that the "compiler" does not "get it right". A ton of people, constantly reading the ASM that the compiler outputs, work together to "get it right".... eventually :)
So the proper way to look at this is, if you've stopped reading ASM, that's not because codegen was solved, but rather that you have implicitly decided to outsource to other people the problem of keeping codegen working reliably.
When AI companies pirate something*, it's "fair use". When someone pirates their model data, it's "stealing" and "undermining American research".
* - Literally pirate. Multiple court admissions have made clear that AI companies download millions of works from pirate sites.
Perhaps the reason we ended up with two startups leading LLM development rather than big established companies is that breaking the law on such a large scale is just too hard to organise when your employees are experienced enough to worry about the consequences
My family is donating another $400,000 to the Zig Software Foundation. Zig is exceptional software. I use AI every day. Zig has one of the strongest anti-AI policies in open source. We disagree on some things, but respect doesn’t require agreement. https://t.co/gaOuwjDDtm
Dordogne's foundation lies in animation. Our team has worked on short films in the past and our goal with the game is to tell a story about emotions by evoking childhood memories. We hope you find it joyful.