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It is sad. I like programming, if I couldn't do it and had to write text (which I do hate, I'm not a writer) it would be make quite a sad world.
Of course you can always program by hand, no one is stopping you.
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It is sad. I like programming, if I couldn't do it and had to write text (which I do hate, I'm not a writer) it would be make quite a sad world.
Of course you can always program by hand, no one is stopping you.
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Please see Ben Evans’ podcast on a good take on this. Coding is just one of the task you do in your job, it is not the job or at least it probably is not. You do not get paid to code, you get paid to make a set of decisions that create value to the company. If this is automated then yes sadly your salary is not justified.
> Coding is just one of the task[s] you do in your job But it's by far the most fun part and the only reason to take such a job...
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I remember this very clearly myself. Before opus 4.5, I was doing a lot of hand holding and was coding a lot myself, but I have not written code since that day more or less. I did write some stuff myself just to learn how the enigma encryption machine worked, so wrote myself to learn. But professionally, I stopped coding in November.
How do you justify your salary given that you're just using a tool that any of us could use for $20 an hour in your role?
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Can you be more specific?
The Claude Mythos / Project Glasswing thing is real: https://www.anthropic.com/glasswing I met a few people at PyCon this week who have been part of Glasswing (they're just starting to be allowed to talk about it) and it really does drive down the cost of finding vulnerabilities. I've been collecting notes on that here: https://simonwillison.net/tags/ai-security-research/
Starting from zero today, how would someone quickly get upto speed with the latest and greatest AI tooling on an extremely limited budget? Is the only choice to pay for the "max" plans? Or just read so much about it that you bs your way through an interview and then use the company's resources? Simon, I'm curious too how much you invest each month researching all the latest and great AI tech?
They're on par with Claude and Codex imo - when you still design architecture and know what the output should be. Claude and GPT 5.5 need less guidance with vibe coding, but we're not yet at a point where that's sustainable anyway even with those models.
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Because the tool will happily give you a "solution" that kinda works for a few inputs. It will happily correct itself when you give it more incorrect tests. It will almost never converge on the general solution that will pass tests you haven't given it yet. This is why AI is sooo good at Javascript and related slop. A solution that "kinda works" is good enough 9 times out of 10 and if some tests fail well ... YOLO an…
To be fair, take away a human's paren highlighting and see how well they do.
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The Claude Mythos / Project Glasswing thing is real: https://www.anthropic.com/glasswing I met a few people at PyCon this week who have been part of Glasswing (they're just starting to be allowed to talk about it) and it really does drive down the cost of finding vulnerabilities. I've been collecting notes on that here: https://simonwillison.net/tags/ai-security-research/
People in my company sounded underwhelmed by it. It usually was founding issues by not understanding deployment (or not being fed that info).
You used to have a couple of days to close a breach, now it 2 hours.
I wonder how much the 'inflection point' is a thing vs marketing. I'm sure the models got somewhat better, but even now when I'm trying to 'vibe code' a game with the latest models (combination of Codex w/ gpt5.5 and gpt5.3-codex), they really do struggle. They definitely get something barebones up and running, but it's far from a fully fledged application.