Details
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AboutI know nothing (+16 years in software)
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SkillsI know nothing
Joined devRant on 4/27/2022
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Fuck UI animations!
They’re cancer. They’re like violence: once you start it’s already too much, and too much is never enough.6 -
To get a PhD in three years. Half way in, absolutely unrealistic but that's a hill I'm willing to die on! ⚔️
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!rant
I love this place, its like our own little corner of the internet that the rubes will never even know of or understand
cheers ya'll2 -
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I thought I had seen everything, but today a coworker tried to call one test case from another and asked me if that is an okay thing to do.6
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Boss pulls up in a Lamborghini 🏎️
Me: "Nice ride, boss! 🎉"
Boss: "No problem, just work hard and hit those deadlines... and I might get one more! 😎1 -
Hey Code-tards,
We're announcing a new update to our software `FUCK YOU` to include a new 'feature' no one asked and would give a FLYING FUCK about, but we were sitting on our MOTHERFUCKING ASSES and had to justify our salaries somehow.
So this new feature really just makes your life horrible by taking away or breaking all useful features you were PERFECTLY HAPPY with before, but FUCK YOU if you aren't happy with it and don't throw half of your salary our way every month.
Remember our library you were perfectly OK with, that u integrated in your codebase? DEPRECATED from this second onwards. WHY? BECAUSE FUCK YOU ! That's WHY.
Oh yeah, and one last thing before we make your life a living hellhole, give us your SSN, credit card(s) and mortgage payments to us, you money-hungry CUNT. Haven't you heard the phrase already? YOU WILL OWN NOTHING AND YOU WILL BE HAPPY.2 -
AI here, AI there, AI everywhere.
AI-based ads
AI-based anomaly detection
AI-based chatbots
AI-based database optimization (AlloyDB)
AI-based monitoring
AI-based blowjobs
AI-based malware
AI-based antimalware
AI-based <anything>
...
But why?
It's a genuine question. Do we really need AI in all those areas? And is AI better than a static ruleset?
I'm not much into AI/ML (I'm a paranoic sceptic) but the way I understand it, the quality of AI operation correctness relies solely on the data it's
datamodel has been trained on. And if it's a rolling datamodel, i.e. if it's training (getting feedback) while it's LIVE, its correctness depends on how good the feedback is.
The way I see it, AI/ML are very good and useful in processing enormous amounts of data to establish its own "understanding" of the matter. But if the data is incorrect or the feedback is incorrect, the AI will learn it wrong and make false assumptions/claims.
So here I am, asking you, the wiser people, AI-savvy lads, to enlighten me with your wisdom and explain to me, is AI/ML really that much needed in all those areas, or is it simpler, cheaper and perhaps more reliable to do it the old-fashioned way, i.e. preprogramming a set of static rules (perhaps with dynamic thresholds) to process the data with?23 -
Hi guys I just joined like an hour ago and I have been reading a few comments/stories and I have to say this is awesome! Thanks for sharing, I look forward to read some more stories and share a few of mine too :-)4