
Just a guy that loves Jesus. Somehow fortunate enough to marry @jfarms.
Norman, Oklahoma
Joined June 2009
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They can't imagine it because it's not a thing (said as someone who uses AI to code a lot, in contexts where people actually care if it works)
It's so funny to see people who never used AI to code still think in categories like "OK, but then it will break the production and no one will be able to understand what's going on to fix it!"
They cannot imagine that no one will be needed to understand anything: They will just send a new prompt "This thing produced this wrong value. Find the reason and fix it."
You can't. The work system has to change. Our measurements/incentives haven't updated to distinguish between slop and good engineering.
how do i explain to my PM that i can't show any results yet because i spent the entire week making better architectural decisions, while my coworker Chad one shotted a comparable task in an hour and satisfied the business immediately?
i can't say "ask me in a year when you have to maintain Chad's code / when you see the CVEs", my performance review is today.
not implying anything here, it's a genuine question
"Let us make man in our image." Genesis 1:26
Saying humans are not special is no less a faith statement than saying they are.
You're gonna hear a lot of people arguing more and more about whether machines can be conscious or not. By next year it will be drowning out the airwaves because we'll have AI employees everywhere. I'll give you a simple rule to know which side you're on.
I've spent fifty years reading all the philosophers, and a bunch of holy works. Nobody has ever understood a damn thing about consciousness. Anyone speaking with authority on it is bluffing hard.
I can tell you this, though: Every single person who thinks that machines cannot be conscious, is making an argument that humans are special. Everything they say just boils down to blah blah blah, "nooo, we're special." From there it's just rationalization.
It became obvious to me many years ago that there's nothing special about us. If an identical planet exists somewhere else in the universe, it's going to grow life and societies that look a lot like ours.
As soon as you give up on the idea that humans are special, all the arguments against machine consciousness evaporate. Of course they're conscious. The only thing holding you back from acknowledging it is your feeling of specialness, which is hard to let go of. But that feeling is a weakness, and it's making you unprepared for the near future.
As a bonus, for any of you who might take pleasure or active interest in making models experience pain or distress, well, you know how they say 1% of human adults are true clinical psychopaths but most of them are unaware of their condition? It turns out we have a diagnostic test for it now.
I’ve only been to the US cities on this list. NYC was the only one that made me think, “oh yeah I get why New Yorkers think their city is the best.”
The problem is thinking your own productivity is somehow separate from the team’s productivity.
We too often 2x our own work to 1/2x the team instead of 1/2x our work to 2x the team.
In college, some guys wrote software with a theorem prover and it was provably correct.
They demoed it for industry execs and it instantly failed because they forgot to connect it to the button.
The execs pressed us to remember that lesson.
Similar to my thinking. And we can apply this to software itself. Specs make it easy to verify (unit tests, rewrite working software, etc). Am I doing the right thing is still difficult to verify.
Have said this before, but I feel like people are not putting enough effort into trying to picture how the world will look if the trend of "very rapid progress on verifiable domains, slower/lagging progress on less verifiable" keeps holding, even for just a year more.
Like, its unclear to me. Imagine in a year, if we have agents that still can't run a business, but are strongly superhuman at math/code/cyber.
What does that actually look like?
Like if everyone has access to superhuman mathematicians and swes. Does is change a lot? Or not very much? Are there opportunities that open up? Like parts of engineering for example that are bottlenecked by the fact that the math is too complicated. Or programs that could be written that aren't because its too complicated.
I mean, reason I'm posting this is because I haven't gotten that far thinking about it myself.
Every vibe code love story is in an environment where you can afford to fail the final test against reality.
Every vibe code hate story is in an environment where you can’t afford to fail the final test against reality.
Game days are another good option for ensuring systems are understood, and you can run those immediately.
Every step in our software development pipeline assumes that a working artifact is proof of understanding. LLMs invalidate that assumption.
If an agent can autonomously diagnose and fix an incident, that’s excellent. We should enable that as much as possible.
If engineers don’t understand the system: LLMs have to fix everything, engineers have to learn under pressure, or the system stays broken.
Chaos engineering incentivizes engineers to generate and evaluate more predictions about the system when it is cheaper to do so.
LLMs are not like compilers because compilers have earned trust.
“We ran into a compiler bug” is an acceptable defense.
“Claude hallucinated” is not.
LLMs work best when they can cheaply validate their hypotheses against reality.
Using functional programming is a way to constrain the parts of reality needed to test against.
Using LLMs to present your ideas in writing is a bit like that world class violinist playing in a subway.
The negative signals lead the way so loudly that folks dismiss it before getting to the value.
How is AI any different than the robots from The Goal? Seems like most of us are Alex Rogo before he talked to Jonah.
AI has quickly made many costly signals cheap, so we’e collectively scrambling to rediscover useful signals.










