thomascountz
Joined 9 years ago
Joined 9 years ago
We're heading towards the end of the year and I still do not see how these copy-machines with "super intelligence" inside are going to replace humans. What they have done is convince those with money to spend differently on their fellow humans.
Whether LLMs can successfully replace certain functions is a question of speculation and conjecture. Whether LLMs should replace human roles is both an economic and moral question. When the incentives are what they are, there's little room for objectivity. Both those who stand to—or believe they stand to—benefit most and those who stand to be most harmed by copy-machines replacing humans will be inclined to think of "when it will" happen. Only one of those groups seem to be able to actively participate in asking "whether it should" happen.So, I want to keep pulling the thread: is it worth reading—meaning, understanding—the code in order to prevent p95 latency from skyrocketing, avoid OOM death, and keep our apps reliable for customers?
The cost of understanding the code is ostensibly very high relative to just using a clanker (citation needed), so does paying that cost translate to value—what is it worth? Concretely, if vibe coding increases bugs and enshittification, but decreases spending without decreasing revenue (read: customers suffer, but they don't leave), do we still need to pay the cost of reading code? Is it better to invest in stickiness, lobbying, and market capture?
This comment shouldn't be read as advocating for this; it's a thought experiment about pragmatism and trade-offs, and reflects what I'm witnessing companies (and "programmers") asking themselves. I personally care a lot about understanding systems and code, and I believe I'm paid to do exactly that (I very much enjoy understanding code and nobody is paying me to run a business, so I may be biased in this). In everyday SaaS-land—not talking about critical safety systems—we've seen production databases destroyed, personal data leaked, platforms unwittingly exploited, and UX bugs creep into our operating systems, and yet the companies involved keep on keeping on.
Is thinking, meaning taking the time to actually understand what our systems are doing, going to increase their shareholder value?
Furthermore, as an interviewer, my job is to be a candidate. Why should this person choose my team/company to work at? It's a privilege that anyone show up to join, and I ought to be as prepared to give answers as they are.
That said, any "feedback" I would give would be arbitrary. I am not this person's mentor and I shouldn't—after only 40 minutes—assume I know enough to give them feedback. Saying that I have concerns about not getting enough information, and that somehow being their "feedback," is bad framing. Try:
Before moving on, I really want to make sure I get a full picture of your time at Acme working with the Foobar team. Would you say that you led project X? Who ultimately decided when it shipped and set deadlines? Was that part of your responsibilities?
I'd recommend avoiding giving anything framed as feedback altogether. End interviews by saying "We're all finished with this part of the interview. Thank you for taking the time to go through your work history with us. You should be hearing from [Hiring Person] about the next steps."I know TFA mentioned similar things about also being a candidate and that the "feedback" is to spur discussion, but the framing of giving "highly opinionated" thoughts about someone's capabilities as a way to ask questions is unnecessarily adversarial is an already power-imbalanced situation. I think it's better to try to tilt the power imbalance in the other direction—giving the candidate a feeling that you, the interviewer, are also auditioning for them. Doing that shows humility and, in my experience, gives a better opportunity to get to honest answers about being a good fit for each other.
What a time to be alive – rouge AI agents attack RubyGems.org (tenderlovemaking.com) - https://news.ycombinator.com/item?id=49695876 - Sept 2026 (123 comments)
But anyway, these scenarios assume the agent's actions are accurately observable and logged. Something I wouldn't put much faith in based on what we've been seeing so far.
My career is guided by three core principles: to create, to learn, and to share.
[ my public key: https://keybase.io/thomascountz; my proof: https://keybase.io/thomascountz/sigs/M83KX58eHE-LOM7b3BsNT98J4Fx_TAlqbdMG7AvHqdg ]