I like the concept of deontological ethics where instead of just plain good and bad, we consider what is one’s duty. People make decisions based on who they are responsible for.
1,023 karma · joined March 7, 2015
How'd it end up? I'm wondering why it ended up actually less serious
PC is even more digital-only than Playstation. No one buys physical games on PC. The only difference is that Valve has been a very good steward over Steam. Theoretically, PC can get as enshittified as PS.
I guess there are other DRM-based purchasing platforms, and there's also DRM free ones like GOG so PC gamers have choice, but those feel niche mostly.
Yes, vendors can, do, and should talk to users, but then a lot of users don't like receiving cold messages from vendors (and some users go so far as to say that cold messages should _never_ be sent).
So, the alternative is to collect some soft telemetry to get usage metrics. As long as a company is upfront about it and provides an opt-out mechanism, I don't see a problem with it. Software projects (and the businesses around them) die if they don't make the right decisions.
As an open source author and maintainer, I very rarely hear from my users unless I put in the legwork to reach out to them so I completely identify with this.
That escalated quickly and I enjoyed this comment a lot
I think AI writing makes humanities and writing courses more important, and I hope people maintain their sense of taste with writing, but tbh I’m not optimistic here.
“On the other hand, what kind of wimpy ambition do you have if it won't survive having kids? Do you have so little to spare?”
A lot of great open source comes out of startups because startups are really good at shipping fast and getting distribution (open source is part of this strategy). Users can try the tool immediately, and VC funding can put a lot of talent behind building something great very quickly.
The startup model absolutely creates incentive risk, but that’s true of any project that becomes important while depending on a relatively small set of maintainers or funders.
I’m not sure an acquisition is categorically different from a maintainer eventually moving on or burning out. In all of those cases, users who depend on the project take on some risk. That’s not unique to startups; it’s true of basically any software that becomes important.
There’s no perfect structure for open source here - public funding, nonprofit support, and startups all suck in their own ways.
And on the point you make about public funding being slow: yeah, talented people can’t work full-time on important things unless there’s serious funding behind it. uv got as good as it is because the funding let exceptional people work on it full-time with a level of intensity that public funding usually does not.
I'm used to a different usage of that word: from malware analysis, a sandbox is a contained system that is difficult to impossible to break out of so that the malware can be observed safely.
Applying this to AI, I think there are many companies trying to build technical boundaries stronger than just "are you sure" prompts. Interesting space to watch.
bring back the old internet
Agents run on infra, they have network connectivity, they have ACLs and permissions that let them read+write+execute on resources, they can interact with other agents.
To manage them from both an infra and security perspective, we can use the existing underlying primitives, but it's also useful to build abstractions around them for management, kind of like how microservices encapsulate compute+storage+network together.
I think of agents as basically microservices that can act in non-deterministic ways, and the potential "blast radius" of their actions is very wide. So you need to be able to map what an agent can do, and it's much easier to do that if there are abstractions or automatic groupings instead of doing this all ourselves.
Could also fake spike to force the other team’s healer to waste their good heal on the wrong player while you downed the real target. Good times.
No one knows what’s going to happen in the future. Yes there already are fewer SWE jobs than before because of AI, and yes the days of companies hiring new grads in droves at $300k+ packages are likely over. IMO all you can really do is study what you’re interested in, learn it deeply, and do good work with cool people. If unsure, it’s possible to go back to what you were doing before if the new path doesn’t work out.
HN is deeply skeptical, technical, cynical, sarcastic. It's a great place to learn new things and I've loved it since I found it in 2012.
The current startup climate (not just limited to YC) feels very AI bro YEAHHLETSFUCKINGGOO (and I say this as a founder myself having gone through YC recently in W25).