wanderfowl
Joined 11 years ago
Joined 11 years ago
You've now answered "Do your lawyers think you can get away with this?". But the questions you're not answering directly, which I think underlie the 'concerns' you're appreciating our sharing, are things like...
- Does the Bitwarden team see no ethical problems with making proprietary a project which many supported and contributed to explicitly because it was open source?
- Given that password management is explicitly a high-trust enterprise, how does your organization intend to navigate the rupture of trust, and subsequent forks and waves of departure, caused by an open-to-proprietary rugpull?
- Is there something that the community could do together which would help your company navigate through the dire situation you must be in to be considering something like this, without resorting to proprietarization?
I know it's his job as CTO right now to be feigning concern, particularly in forums where you can't close the conversation, but the current approach is basically confirming the worst fears ("They believe they can legally do it, and see no problem with their actions"), and that seems like exactly the wrong vibe for a company whose bottom line depends on users trusting the code and the people updating it.
Looking forward to your next project: SHA3-512 :D
As I tell students, I would bet that within our lifetimes, as research continues and our instrumentation becomes better at detecting non-human communication means, we'll finally be able to detect and decode 'language' in a non-human animal which is sophisticated and rich enough as to be impossible to handwave away.
But what I keep to myself is that this kind of discovery, and the cross-species conversations it would prompt, has the potential to change the course of the dialogue on animal rights and what it means to be 'human'. But I suspect it will wind up being largely buried outside of certain academic and spiritual communities, mostly because I don't think parts of our society could handle learning the bovine words for 'slaughterhouse' or 'mourning'.
Or is this just a UX element that most people dislike or don't care about, but some people get badly addicted to?
There's so much argument about gambling, etc, but I'm yet to hear a compelling argument for why these should be allowed to exist, from a game design perspective, short of "we can make a lot of money from gamblers".
Yes, yes, "everything on the internet is permanent". But every one of my social media streams could benefit from a "Automatically delete after one month" setting.
We grow, we learn. Why not let our social media represent who we are, not who we were?
I think it moves us towards a clearer understanding of Academic Journal publication as peer review's 'stamp of approval', rather than the explanatory event per se. And this will make easier to move towards long-term, sustainable practices for publication and science.
Plus, call me an idealist, but it feels like a huge step back when a device requires a paid web service to do something that's completely free on a real computer. I don't know that "pay somebody else" should be hailed as the solution to "good software doesn't work on this device".
I've often wondered whether Apple could do well by doing something similar to Crostini on ChromeOS, to allow these things to actually work as intended, but without impacting security. But that also probably doesn't sell software as effectively, as free software doesn't pay Apple's cut.
Plus, we have the advantage of understanding what social cues certain speech traits directly 'index', or serve to mark. For instance, I'll bet you can picture a voice of somebody who you could clearly identify as white and male, but who would be exceedingly unlikely to have a long, bushy beard and wear a camoflauge jacket. This is not anatomical, but social, and are not coincidence, but broadcasted social information. Sure, with enough data, we might be able to pick up on these as sort of emergent stereotypes, but we're attuned to such cues through our social experience. And these things are culturally specific, perhaps moreso than a YouTube dataset would be.
I view this as a similar situation to using ML for evaluating things like humor, irony, or aesthetic beauty in cloudscapes: They might be able to bootstrap a model which starts with human judgements, or cluster things in such a way that a 'funny' category emerges, but they're a ways off from understanding the categories themselves, and I think that's relevant.