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Search - "very subtle"
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Continued…
The company that I’m working for has done lots of subtle racist things surrounding diversity policy. There was a major blowout between execs and suddenly all went quiet. The guy that was hired against my recommendation was gone. Until early January when he showed up at our building to raid our kitchen. WTF. It turns out HR decided to move him to the other office and out of sight so my team wouldn’t see him. He isn’t working on a project and is getting paid on the bench for more than the 100% billable devs.
After I saw him bumming around, I replied to a recruiter that has been trying to recruit me to their company.
The position pays 25% more 😲 and comes with a an amazingly relaxed development environment. Developer time is managed and allocated by someone in a dedicated role. 80% of the time is sprint work and the rest is self-driven projects or learning. Teams are stable, mostly local, and there is very low turnover. Developers get Mac or Linux computers.
I’m doing an executive meet and greet at the other company tomorrow. They will be the ones that will make me the final offer. I feel pretty good about it too because they will let me sign up to start in a month and a half so I can give a long notice, work until the end, and my current company can hire me back as a consultant in a pinch. It softens the blow for my current company and it makes it easy for me.
Worst case scenario I don’t take the position but use it for leverage. Who am I kidding? I’ll definitely jump ship when negotiation is done tomorrow.
https://devrant.com/rants/2338969/...8 -
While writing a raytracing engine for my university project (a fairly long and complex program in C++), there was a subtle bug that, under very specific conditions, the ray energy calculation would return 0 or NaN, and the corresponding pixel would be slightly dimmer than it should be.
Now you might think that this is a trifling problem, but when it happened to random pixels across the screen at random times it would manifest as noise, and as you might know, people who render stuff Absolutely. Hate. Noise. It wouldn't do. Not acceptable.
So I worked at that thing for three whole days and finally located the bug, a tiny gotcha-type thing in a numerical routine in one corner of the module that handled multiple importance sampling (basically, mixing different sampling strategies).
Frustrating, exhausting, and easily the most gruelling bug hunt I've ever done. Utterly worth it when I fixed it. And what's even better, I found and squashed two other bugs I hadn't even noticed, lol -
!Rant
> Go to co-workers working machine
> install tmux and mps-youtube
> play very subtle sounds from console
> close console but keep session running with tmux
> watch coworker go insane because he can't detect the sound source
How to make your coworker go insane in 5 easy Steps3 -
Honestly these icons are really nice and are a good medium between clean and defined. I think Material failed as a whole to accomplish the paper look but this is very well done and has subtle but not 2008-era giga-drop-shadow depth. Well done, weather app.1
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A guy with a pretty fucked up aggressive personality.
At that point I already had ...more than a few issues with bald headed aggressive men for other reasons.
So from the beginning I was very wary around him... And his behaviour - sweet talking while you could _feel_ the knifes raining down your neck - made me even more defensive. I avoided him like the plague.
But for better or worse I became his supervisor. I had to work with him.
He made it very evident what he thought of having me as a supervisor - from day one there were very non subtle hints.
Every question turned into a discussion... Every discussion turned into screaming... Every screaming from his side turned into me leaving the room. I've had my anger issues and I don't tolerate such behaviour.
The tip of the iceberg was not only his behaviour, but also his limited knowledge.
He worked > 15 years in the company, me 2.
Guess that played a role, too.
But his knowledge was somewhere between junior to average.
Some of the tasks exploded not only in time because of all the rage tantrums he had - but more because he didn't solve them properly, despite given clear guidance.
Since at that time it was obvious that he either quits or will get fired, we had to look at previous projects.
It wasn't pretty - to state it in a polite way.
Non polite way: A shitfest of the worst kind possible.
All in all - he didn't quit.
Nearly half a year later he had to be fired.
Company couldn't fire him earlier for various (eg law) reasons.
But damn he made that time a living hell.
Rarely a day without screaming, door slamming, discussions that went like "I've checked all my literature, what you're saying is wrong." (without stating what literature, the discussion just turned round and round...) and so on...1 -
My fav interview was at my previous job. It was a junior position. The lead was a very friendly and wise guy. He kept pushing me (positively) with subtle hint until I get a code right. After completing each problem he give me elaborate explanation about the meaning of the problem and how to approach it from other angles. It felt like I'm in front of buddha who is making me realize the inner working of the world. Didn’t get 50% of the questions right, still he recruited me because "You were very curious and you were having fun solving problems". Best one and half years of my career.4
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My colleague just made a very subtle rant in real life:
"I wish we could become more software developer and be less software producer"3 -
Still on the primenumbers bender.
Had this idea that if there were subtle correlations between a sufficiently large set of identities and the digits of a prime number, the best way to find it would be to automate the search.
And thats just what I did.
I started with trace matrices.
I actually didn't expect much of it. I was hoping I'd at least get lucky with a few chance coincidences.
My first tests failed miserably. Eight percent here, 10% there. "I might as well just pick a number out of a hat!" I thought.
I scaled it way back and asked if it was possible to predict *just* the first digit of either of the prime factors.
That also failed. Prediction rates were low still. Like 0.08-0.15.
So I automated *that*.
After a couple days of on-and-off again semi-automated searching I stumbled on it.
[1144, 827, 326, 1184, -1, -1, -1, -1]
That little sequence is a series of identities representing different values derived from a randomly generated product.
Each slots into a trace matrice. The results of which predict the first digit of one of our factors, with a 83.2% accuracy even after 10k runs, and rising higher with the number of trials.
It's not much, but I was kind of proud of it.
I'm pushing for finding 90%+ now.
Some improvements include using a different sort of operation to generate results. Or logging all results and finding the digit within each result thats *most* likely to predict our targets, across all results. (right now I just take the digit in the ones column, which works but is an arbitrary decision on my part).
Theres also the fact that it's trivial to correctly guess the digit 25% of the time, simply by guessing 1, 3, 7, or 9, because all primes, except for 2, end in one of these four.
I have also yet to find a trace with a specific bias for predicting either the smaller of two unique factors *or* the larger. But I haven't really looked for one either.
I still need to write a generate that takes specific traces, and lets me mutate some of the values, to push them towards certain 'fitness' levels.
This would be useful not just for very high predictions, but to find traces with very *low* predictions.
Why? Because it would actually allow for the *elimination* of possible digits, much like sudoku, from a given place value in a predicted factor.
I don't know if any of this will even end up working past the first digit. But splitting the odds, between the two unique factors of a prime product, and getting 40+% chance of guessing correctly, isn't too bad I think for a total amateur.
Far cry from a couple years ago claiming I broke prime factorization. People still haven't forgiven me for that, lol.6 -
Elasticsearch, from the bottom of my heart...
How can one ecosystem be so batshit crazy inconsistent?
Seemingly every agent does the same (e.g. filebeat vs journalbeat vs packetbeat)… yet there are subtle changes in configuration everywhere.
Plus YML. The most shitty markup language one can use and the cockslubbing durps used it fucking everywhere.
Makes fun to have complex stuff and requiring a python Jinja to JSON to YML converter to be able to write the complex stuff without having the fucking migraine to count like a stupid 4 year old whitespace with both hands...
To make it even more absurd: the ingest pipelines which contain a lot of regular expressions / grok and are thus very prone to quoting issues... Yes. Let's do this in YML too.
If you need to add an fucking manual section how to debug YML errors you should have realized what a fucking stupid idea it was, morons.
Now I have the joy of having a python script regex quoting the shit for a Jinja template which then generates JSON which then generates YML.
Why the JSON part?
Yeah... Because ECS and changes in the upstream YML files / GitHub.
To be able to run diffs in a sane way because in YML distinguishing thing is pretty much impossible, so JSON as an intermediary format solely for the purpose of converting upstream YML to JSON to diff it against modified JSON ingest pipelines downstream.
I fucking hate elasticsearch8 -
I recently tried to apply the same data analytics rationale that I use at work to my personal life. This is not a rant, it is more like an data storytelling of an actual use case I would like some input on.
I set a goal - gotta thin up a bit and calm down my ticker - and got a (almost unreasonably expensive) field expert consultant to yell at me about it for a couple hours.
I unravel the metrics - there is like a million weight-related KPIs and most say nothing at all. I have never seen an non-infrastructure measurable subject that could not be resumed to 2-5 performance metrics. I got overall weight, how well my nine-years-old business suit fits me, heart rate, and day-after relative muscle pain (it will make sense soon).
Then its data-pipeline time. I bought a cheap weight scale and smartwatch, and every morning I input the data in an app. Yes, I try to put on the suit every morning. It still does not fit.
After establishing a baseline, I tried to fit different approaches. Doing equipment-free exercises, going to the gym, dieting. None was actually feasible in the long run, but trying different approaches does highlight the impacts and the handling profile of each method.
Looking at the now-gathered data, one thing was obvious - can't do dieting because it is not doable to have a shopping list and meals for me and another for the family.
Gym is also off the table - too much overhead. I spend more time on the trip there and back than actually there.
And home exercise equipment is either super crappy or very expensive. But it is also the most reasonable approach.
So it is solutions time. I got a nice exercise bycicle (not a peloton), an yoga mat (the wife already had that one) and an exercise program that uses only those two resources. Not as efficient without dieting, not as measurable and broad as the gym, but it fits my workflow. Deploy to production!
A few months pass and the dataset grows. The signal is subtle but has support - it works! The handling, however, needs improvement, since I cannot often enough get with the exercise program. Some mornings are just after some hard days.
I start thinking about what else I can improve in the program, but it is already pretty lean and full of compromises.
So I pull an engineer and start thinking about the support systems and draft profile. What else could be draining my willpower and morning time?
Chores. Getting the kids ready for school, firing up the moka pot, setting the off-brand roomba, folding the overnight-dried clothes, cooking breakfast, doing the dishes, cleaning the toilets. All part of my morning routine. It might benefit from some automation.
Last month I got that machine our elders call "wasteful" and "useless crap lazy entitled Americans invented because they feel oh-so-insulted for simply doing something by hand like everyone always did" - a "dish-washer".
Heh, I remember how hard was to convince my mother-in-law that an remote-controled electric garage door would not make she look like an spoiled brat.
Still to early to call, but I think that the dishwasher just saved me about 25 mins every morning. It might be enough to save willpower for me to do more exercise.
This is all so reflective of all data analytics cases really are out in the wild - the analytics phase seems so small compared to the gathering and practical problem-solving all around. And yet d.a. is what tells you that you are doing the wrong thing all along. Or on what you should work next.7 -
Yes you are. Not a single reason. Clearly no one. I am very surprised. This recruiter put in some very subtle irony and lots of effort (google "minutes in an hour")3
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Woah dude, where do I sign? 😱
Seriously though, it's the second email of the sort today. The recipient is not even my address, and from some subtle cues (cf. "ethical hacking service", "untracable", "victim never suspect"), he's probably a very bad developer too. Dear "Ruben Villanueva", you're just a f***ing a**hole, I hope you die painfully, dumbface.5 -
Heck yeah,
So an old Ionic 3 project wont work on the newest CLI.
I check around for the error, update some dependencies, sure enough it starts working again, all is great or so I thought.
Later something weird starts happening, upon pushing a new view on the navCtrl, the navParams are null on the next view.
I later find out that navCtrl is becoming navParams just on the first bit of the view loading, so I do a dirty fix just to keep working on the functionality from my browser, I know very well this will cause problems later on, this is just so I can keep working on functionality.
I finish all of the functionality and I'm ready to compile for android, I run my script, the dirty fix comes to bite my butt now.
I remove the dirty fix hoping for it to work just well on the apk.
Now gradle doesn't find ddmlib.jar, some 15 minutes of troubleshooting do nothing.
Fuck it, I'll just create a new project from the CLI and drag all the code there so that navParams work as expected.
Sorry Ionic, but the world is not our oyster when subtle changes in dependencies produce such unexpected behaviour, with some fucking view parameters!.
I'm looking forward to get done with all the current projects to jump back to native.1