...yet kids are pretty quick (and eager) to understand "mine"... and seem to struggle understanding "not mine" at first.
Transgenerational greed?
And still, not respecting these concepts make you the thief today. So, what now?
1,281 karma · joined January 13, 2021
Transgenerational greed?
And still, not respecting these concepts make you the thief today. So, what now?
Might be beneficial to think the other way around, and rather think htmx was not a good fit for the app.
But switching banks is just too much of a hassle for me currently.
one might awk how much logic one can bash into a script before leaving the beloved shell
Seems like you were very much guessing what i believe. And you were not right.
I don't agree with the people who think LLMs are close to human-level-anything. But i do believe, many smarter people like you, who i agree with in the most part, do underestimate how much of what we do and believe is the result of insane, yet still just, information processing & most of what brought us so far, is instinct. The brain is good at providing stories to make us feel in control. But given enough human experience and time, one will be surprised, what artificial systems can emulate. Not to mention how much of human behaviour is emulation itself.
Honestly interested about your arguments here. While unprepared, i'd actually be guessing the opposite, saying that most people are guessing most of the time.
No idea how to order my food, but if i ever need to find my son, who's a clownfish, and was kidnapped, and i need to do it in italian, i am ready.
So people are building docker "binaries", that depend on docker installed on the host, to run a container inside a container on the host– or even better, on a non-linux host, all of that then runs in a VM on the host... just... to run a golang application that is... already compiled to a binary?
Tip: you could also forward your ssh agent. I remember it was a bit of a pain in the ass on macos and a windows WSL2 setup, but likely worth it for your setup.
But, my comment was clearly not about making excuses for the mistake of the engineer. I wanted to express that it's insane that such a common mistake can happen in a company like that. And i don't get how people let the ceos & leads off the hook so easily.
But some apparently don't think that way.
In my opinion: the mistakes that are common, and severe, and very easy to avoid, have to be expected and hence circumvented through industry standard behaviour. And that is not (solely) the responsibility of one committing engineer. Any good team has best practices to prevent these type of basic, potentially fatal mistakes from happening, and usually at least a glance-over review process where these mistakes should be found by another team member on first sight... and now, when it's an "AI making devs extinct"-type of company... and they're not catch this type of error, is ridiculous. That an individual can screw up something potentially so critical, is an organizational failure.
But anyway, i think my points were clear in the first comment already.
i know, you probably just meant it as a fun comment. but i don't get how this is funny. this person probably relies on income, might have a family to feed... and just made a mistake. a type of mistake, that is not uncommon. i mean i have seen corporate projects where senior engineers didn't even understand why committing secrets might be a bad idea.
yes, of course, as a engineer you have responsibilities and this is clearly an error. but it also says a lot about the revolutionary AIs that will apparently replace all engineers... but the companies claiming it are not using it to catch stuff like this.
and let's keep in mind– i am surely not the only one making this experience: every single time i am using an LLM for code generation, i have to remove hardcoded secrets and explicitly show them how to do it. but even then, it starts to suggest hardcoding sensitive info here and there. which means: A. troublesome results made by these models, presented to inexperienced engineers. and people are conditioned to believe in the superiority of LLM code, given all the claims in the media. but also B: that models suggest this practice, shows just how common this issue is.
yes, this shouldn't happen at any company. but these AI companies with their wild claims should put their money where their mouth is. if your AI is about to replace X many engineers, why is it not supervising at least commits? to public repos? why are your powerful, AGI-agentic autonomous supernatural creations not able to regex the sh outta it? could it be that they don't really believe their own tales? or do they believe, but not think?
of course, an incident like this could lead to attempts of turning it into a PR-win– claiming something like "see, this would have never happened with/to our Almighty Intelligence. that's why it should replace your humans." but then: if you truly believe it and have already invested so much resources, you believe to foresee the future so surely, why ignore the obvious? or are is this silent, implicit testimony, that you got caught up in a hype-train and got brainwashed into thinking, that code generation is what makes a good engineer? (just to be safe: i am not saying LLMs are not useful).
also: that something this could even happen at a company like that, is not the fault of one engineer. it indicates either bad architecture or conventions and/or bad practice and culture... and... a l s o: no (human) code review process in place?
the mistake was made by one engineer, yes. but as though it's made to seem like this mistake is the root... it's not. the mistake is a symptom, not the cause.
i honestly hope the engineer does not get fired. and i really don't understand this mentality. if this person is actually good at their job and takes it seriously, it's certain: he or she is not going to leak a secret again. someone who replaces him or her, might.
I also believe they should really stay calm and not get sucked into the AI hype. Worst case they will be the heroes to the people who like to program for the joy of it, in case these AI IDEs should really take over (which i highly doubt).
And why do you think did duolingos competitor "toucan" not take off? How does nuenki do the job better?
Seriously interested and happy to read more insights.
Disclaimer: i did create an MVP of this exactly. But it was just to try and generate some cash quickly to finance my main project (dumb idea, of course). I did get some signups but never even launched the app (and not planning to). Just curious what your experience is.
It just shows they have no idea what to do, so just squeeze "AI" in... there are too many SaaS out there anyway.
For the same reason that i believe a situation like that could play out, i don't think i should judge a judges understanding of, dedication to work through, and knowledge about– the laws.
I actually studied law for a few years. And i am baffled by the confidence of laymen about court rulings. It's almost like a client explaining to me how easy it is to fix this small bug.
You might enjoy reading about– or a book written by– Edward Bernays.
I really like their idea to make the touch keyboard work well by increasing the (invisible) "padding" area for the key most likely to be typed next. So obvious in hindsight but demos like your's show part of the journey.
There are rumors that in the beginning they tried the ipod wheel as the user input interface.
While working on my device, that idea is super motivating. I know where i am headed and have done a lot of work and really got something very, very interesting already. But a few parts are yet not clear at all. But, i am definitely further than our "clickwheel" stage. Not yet at the "secret padding" stage for some input ideas, but still.
In case you are free and interested to loosely talk about ideas or feedback you have for a very novel device (and interface), please let me know how to reach out. Just because you made this demo, i feel we'd get a long & i can learn a lot from you. And this might be a very interesting challenge for someone like you. Anyway, great work!
Am i behind the moon because i haven't heard of xAI?