- Joined
- Dec 15, 2022
FAGMAN, don't forget MicrosoftFAANG
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FAGMAN, don't forget MicrosoftFAANG
Any white tranny over any brownoid. Ironically they are much more likely to suicide bomb their careers.Okay question, if you had to work with indians or trannies which would you choose?
tell that to cnc machinists where a programming bug can turn thousands of dallars of material into scrap metal, and there's no roll back or undo once the part is damaged.I’m finding that many people in the tech industry / software don’t work in these fields, and therefore don’t believe that these jobs exist. They have zero theory of mind about anything outside of modern SaaS business.
“Programming has always been and will always be a place where a bug can just be solved by an over the air patch!” is their mentality.
Medical systems have huge cert requirements tootell that to cnc machinists where a programming bug can turn thousands of dallars of material into scrap metal, and there's no roll back or undo once the part is damaged.
AWS is pretty tedious, but half the jobs now require either Azure, AWS or GCP. It is all over-engineered, IMO, as the vast majority of projects can run on an ancient n-tier architecture. AWS is popular because they do partnerships (like MS) where they will recommend you as a supplier. These greasy backroom deals have made my life miserable as a developer.I'm trying to branch out and learn a new skill. Any recommendation?
Been thinking AWS/cloud eng or ai slop maker/prompt engineer
Storytime:tell that to cnc machinists where a programming bug can turn thousands of dallars of material into scrap metal, and there's no roll back or undo once the part is damaged.
Every job listing I've applied to these last ~6 months has had AWS as a requirement. If you're interested in DevOps then every single listing wants you to know Terraform/OpenTofu, Ansible, CI/CD, AWS, Azure and some form of network engineering. Thankfully the certs for all of those are pretty easy and cheap, but it takes time if you haven't messed around with declarative systems before.I'm trying to branch out and learn a new skill. Any recommendation?
Been thinking AWS/cloud eng or ai slop maker/prompt engineer
Don't care for bs certs; just what to learn and maybe I'll make a simple projectEvery job listing I've applied to these last ~6 months has had AWS as a requirement. If you're interested in DevOps then every single listing wants you to know Terraform/OpenTofu, Ansible, CI/CD, AWS, Azure and some form of network engineering. Thankfully the certs for all of those are pretty easy and cheap, but it takes time if you haven't messed around with declarative systems before.
AWS is pretty tedious, but half the jobs now require either Azure, AWS or GCP. It is all over-engineered, IMO, as the vast majority of projects can run on an ancient n-tier architecture. AWS is popular because they do partnerships (like MS) where they will recommend you as a supplier. These greasy backroom deals have made my life miserable as a developer.
Unless there is actual evidence of what you claim (not what some people reckon). I will go with the simpler explanation.
Many scenes that are outside the norm lean to conspiracy, a lot of the time this is because of valid reasons, but I've seen it go off the rails plenty of times. People start repeating other people's stories and then it becomes a fact. When you look into it, you find out, there is very flimsy evidence or none at all. I am generally fed up with hearing such stories because that what starts off this loop.
Furthermore, I've seen quite a few places now require a real recording / face-to-face to prove you are a real person, which have nothing to do with this industry e.g. recently US companies have been asking Korean applicants to say something negative against Kim Jung Un to weed out North Korean spies.
So it doesn't sound far-fetched at all. I have to go through a bunch of background checks for most of the work I do anyway.
It also said:“User data may be utilized to improve the quality of Mercor's models. For example, a selection of interviews may be used in a dataset to train models for talent evaluation.”
And their newer privacy/cookies page says they collect:“Worker acknowledges that their data, including interview recordings, transcriptions, resumes, and other information… may be sent to external services for evaluation purposes.”
My workplace has done some minor experiments with AI assisted QA pipelines, and effectively written it off as not worth investing time and effort into.Another general question for the thread, what do you do and how rigorous is your workload? I feel like the AI stuff kind of fucked everything up now that every manager thinks you can 10x a feature by simply having Claude do it.
I've heard with my own ears "Don't just say 'this will take too long to implement', instead think about how you can use AI to do it faster!"
Made me want to suck-start a shotgun.
Another general question for the thread, what do you do and how rigorous is your workload? I feel like the AI stuff kind of fucked everything up now that every manager thinks you can 10x a feature by simply having Claude do it.
I've heard with my own ears "Don't just say 'this will take too long to implement', instead think about how you can use AI to do it faster!"
Made me want to suck-start a shotgun.
It is about the same for me. The org I work at is quite slack, though. I use opencode (free models) and Claude basically the entire day now.Another general question for the thread, what do you do and how rigorous is your workload? I feel like the AI stuff kind of fucked everything up now that every manager thinks you can 10x a feature by simply having Claude do it.
I've heard with my own ears "Don't just say 'this will take too long to implement', instead think about how you can use AI to do it faster!"
Made me want to suck-start a shotgun.
If you have enough traffic to need AWS, you have enough money to not need AWS.What's really fucked is when you have to work with these small companies who could easily run their shit on a $5 VPS but someone at some point convinced them that AWS was the way to go for their site that gets maybe 1000 hits a day (maybe they saw all the Super Bowl ads or whatever) and now everything is an order of magnitude more expensive and more complicated than it needs to be. So far I have yet to successfully convince one of these places to just let us save them money (and ourselves headaches) by moving them to DigitalOcean or Vultr or whatever.
Fuck AWS. All my homies hate AWS. You'd literally have to pay me to use that shit because there's no way I'd ever use it for anything I build myself. But yeah, I guess if you want to get a web job, you might as well learn it.
I've never used Azure or Google but I imagine they're pretty similar in terms of headache (and cost).
Speaking of overpaying for stupid shit, GitHub is sharply raising the price of its Copilot shit to more closely match the reality of its cost.
My experience in industry is that stuff is either overengineered/underengineered or a combination of both. Also, a lot of companies / IT departments play it safe by going for an established player instead of using a basic open source stack. If AWS goes down, it goes down for everyone, and it isn't your fault. If your VPS or server goes down, it is your problem, and you get the blame.What's really fucked is when you have to work with these small companies who could easily run their shit on a $5 VPS but someone at some point convinced them that AWS was the way to go for their site that gets maybe 1000 hits a day (maybe they saw all the Super Bowl ads or whatever) and now everything is an order of magnitude more expensive and more complicated than it needs to be. So far I have yet to successfully convince one of these places to just let us save them money (and ourselves headaches) by moving them to DigitalOcean or Vultr or whatever.
Every job requires it now. Luckily, I can tell Claude / OpenCode what to do 95% of the time and not have to bother. I am watching YouTube most of the day.Fuck AWS. All my homies hate AWS. You'd literally have to pay me to use that shit because there's no way I'd ever use it for anything I build myself. But yeah, I guess if you want to get a web job, you might as well learn it.
Azure is basically a copy of AWS. Dunno about GCP.I've never used Azure or Google but I imagine they're pretty similar in terms of headache (and cost).
If I start contracting again, I am going to just drop £10k on the top-end GPU for AI and have it running coding models in my cupboard.Speaking of overpaying for stupid shit, GitHub is sharply raising the price of its Copilot shit to more closely match the reality of its cost.
AI is kind of an amplifier like any tool. And like any tool it can 100% be misused and amplify crap. So in theory it can help you deliver stuff faster, but it might be covered by brown marks all over it if you don't take the right level of care.I've heard with my own ears "Don't just say 'this will take too long to implement', instead think about how you can use AI to do it faster!"
Made me want to suck-start a shotgun.