People don't verify those because it's hard, not for lack of value.
This is the sort of reality that a lot of developers in the business world deals with.
People don't verify those because it's hard, not for lack of value.
This is the sort of reality that a lot of developers in the business world deals with.
Game theory is inevitable.
Because game theory is just math, the study of how independent actors react to incentives.
The specific examples called out here may or may not be inevitable. It's true that the future is unknowable, but it's also true that the future is made up of 8B+ independent actors and that they're going to react to incentives. It's also true that you, personally, are just one of those 8B+ people and your influence on the remaining 7.999999999B people, most of whom don't know you exist, is fairly limited.
If you think carefully about those incentives, you actually do have a number of significant leverage points with which to change the future. Many of those incentives are crafted out of information and trust, people's beliefs about what their own lives are going to look like in the future if they take certain actions, and if you can shape those beliefs and that information flow, you alter the incentives. But you need to think very carefully, on the level of individual humans and how they'll respond to changes, to get the outcomes you want.
Game theory just provides a mathematical framework to analyze outcomes of decisions when parts of the system have different goals. Game theory does not claim to predict human behavior (humans make mistakes, are driven by emotion and often have goals outside the "game" in question). Thus game theory is NOT inevitable.
where do you network? what do you network with these other humans on?
I do think I could get a job from my network because I’ve worked in the industry for years and done good work; I’m a little skeptical of advice to network to junior/new grads. I at least ignore those LinkedIn requests
But it only takes a few examples counter to what a public service should do to show that GDP reliance creates anti-patterns. e.g. rising healthcare costs is good for the GDP while universal healthcare is bad.
At the most basic level this means making sure they can run commands to execute the code - easiest with languages like Python, with HTML+JavaScript you need to remind them that Playwright exists and they should use it.
The next step up from that is a good automated test suite.
Then we get into quality of code/life improvement tools - automatic code formatters, linters, fuzzing tools etc.
Debuggers are good too. These tend to be less coding-agent friendly due to them often having directly interactive interfaces, but agents can increasingly use them - and there are other options that are a better fit as well.
I'd put formal verification tools like the ones mentioned by Martin on this spectrum too. They're potentially a fantastic unlock for agents - they're effectively just niche programming languages, and models are really good at even niche languages these days.
If you're not finding any value in coding agents but you've also not invested in execution and automated testing environment features, that's probably why.
What you don't specify, it must to assume. And therein lies a huge landscape of possibilities. And since the AI's can't read your mind (yet), its assumptions will probably not precisely match your assumptions unless the task is very limited in scope.