Ngl any coding/programming jobs are finished within the next 1-3 years.

D

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Ngl any coding/programming jobs are finished within the next 1-3 years.


Im working on some complex website and software and chatgpt can custom code literally anything i want


no need to hire a programmer


coders are finished right now. let alone in 1-3 years when ai improves even more.
 
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"what does this function do?" - Ai Impact
 
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1701116485540
 
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Imagine spending 4 years in a male only degree, just to turn obsolete as soon as you graduate
 
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this and you can just use cms lol no need for allat
 
im literally using it right now and it works, it can code anything from just telling it what you want

and it will make adjustments if u want it to
yes, i know how gpt 4 works

there is still some holes if your building a "complex website"
 
yes, i know how gpt 4 works

there is still some holes if your building a "complex website"
holes like what? theres none for me
 
No one that says that has done any actual serious programming in their lives.
Programming isn't just writing a sorting algorithm that's been done a million times before or some basic front end HTML shit and that's the only thing chatgpt is good at, basic leetcode. And you need to be able to prompt it well.
 
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No one that says that has done any actual serious programming in their lives.
Programming isn't just writing a sorting algorithm and that's the only thing chatgpt is good at, basic leetcode. And you need to be able to prompt it well.
im literallly doing it right now though and its working
 
holes like what? theres none for me
once you reach a point with a large codebase and using the same convo on chatgpt it will fuck up

you need github copilot to fix the contextual flaws, pair both of them together
 
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No one that says that has done any actual serious programming in their lives.
Programming isn't just writing a sorting algorithm or some basic front end HTML shit and that's the only thing chatgpt is good at, basic leetcode. And you need to be able to prompt it well.
this programm has barely been around for a year and can already do all this despite that not even being its primary function. imagine what AI could do in a few years.
 
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this programm has barely been around for a year and can already do all this despite that not even being its primary function. imagine what AI could do in a few years.
It's been around for a long time in more primitive forms, it's just it gained traction amongst normie newfags recently. It's not even AI really, it's a glorified autocomplete.
 
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its not just coding literally everyone is fucked
 
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Disregard any careers and focus on crime.
 
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Ngl any coding/programming jobs are finished within the next 1-3 years.


Im working on some complex website and software and chatgpt can custom code literally anything i want


no need to hire a programmer


coders are finished right now. let alone in 1-3 years when ai improves even more.
When you visit the romanian whore with 200k followers tell her to give you her tiktok so you can share with us
 
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pov op is a retard
 
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JFL that "complex website and software" clearly isn't that complex then.

Software engineers are going anywhere, they'll just learn to take advantage of AI and do stuff 5x as fast.

A software engineer won't get replaced with AI, they'll get replaced with a smarter software engineer who leanrs to use it.
 
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im literally using it right now and it works, it can code anything from just telling it what you want

and it will make adjustments if u want it to
show us what its made for you
 
It's been around for a long time in more primitive forms, it's just it gained traction amongst normie newfags recently. It's not even AI really, it's a glorified autocomplete.
100% correct
 
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JFL that "complex website and software" clearly isn't that complex then.

Software engineers are going no where, they'll just learn to take advantage of AI and do stuff 5x as fast.

A software engineer won't get replaced with AI, they'll get replaced with a smarter software engineer who leanrs to use it.
muh chatgpt wrote html for my tranny child porn website, it's over for codecels
 
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90% of software engineering is not about writing code.

AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.

AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.

AI can't respond intelligently in a code review dialogue and learn from the discussion.

AI can't create or maintain software, it can only write code.

Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.

jfl

@Ai Impact , show us this complex website you're building
Ome5 GIF


its over for NEETs coping
 
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90% of software engineering is not about writing code.

AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.

AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.

AI can't respond intelligently in a code review dialogue and learn from the discussion.

AI can't create or maintain software, it can only write code.

Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.

jfl

@Ai Impact , show us this complex website you're building
Ome5 GIF


its over for NEETs coping
Smoke weed play guitar

 
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Software engineers are going anywhere, they'll just learn to take advantage of AI and do stuff 5x as fast.
aka 5x less jobs

and its not even 5x faster. its instant. at least 1000000x faster. aka 1000000x less jobs
 
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90% of software engineering is not about writing code.

AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.

AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.

AI can't respond intelligently in a code review dialogue and learn from the discussion.

AI can't create or maintain software, it can only write code.

Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.

jfl

@Ai Impact , show us this complex website you're building
Ome5 GIF


its over for NEETs coping
lmao ai can literally do all of those things

deluding yourself wont change reality
 
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90% of software engineering is not about writing code.

AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.

AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.

AI can't respond intelligently in a code review dialogue and learn from the discussion.

AI can't create or maintain software, it can only write code.

Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.

jfl

@Ai Impact , show us this complex website you're building
Ome5 GIF


its over for NEETs coping
AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.
Use it to alert developers any for any down time or failover issues bard specific

AI can't respond intelligently in a code review dialogue and learn from the discussion.
the most recent chat gpt model? claude 2 beta?

AI can't create or maintain software, it can only write code.
you the user are responsible for this

Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.
sounds like you haven't used the recent chatgpt or claude 2

AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.
once again its not the job of a llm to do this make something that will

90% of software engineering is not about writing code.
completely true
 
lmao ai can literally do all of those things

deluding yourself wont change reality
AI can't understand a system to the point of handling an oncall to know when to involve an experienced developer.
Use it to alert developers any for any down time or failover issues bard specific
Of course it can detect downtime and alert developers, but if AI lacks the contextual understanding of an application, how can IT handle on-call responsibilities? At what point does it make the decision to involve experienced developers? At the point of failure? Then what is it doing beyond alerting? It doesn't possess the the depth of understanding to actually assess the severity of the issue. On-call responsibilities extend far beyond alerting.
AI can't respond intelligently in a code review dialogue and learn from the discussion.
the most recent chat gpt model? claude 2 beta?
Nope, those models still lack contextual understanding and are incapable of dynamically learning from ongoing discussions the same way humans can.
AI can't create or maintain software, it can only write code.
you the user are responsible for this
So when is AI taking muh job?
Imagine thinking a LLM trained on an outdated dataset could correctly address a zero-day vulnerability in a timely manner.
sounds like you haven't used the recent chatgpt or claude 2
Then why don't you enlighten me on how either of those can resolve a zero-day vulnerability in a timely manner instead of providing another ad hominem, you're running out of those.
AI can't correctly schedule and shift cross functional timelines based on user feedback and development delays for a migration.
once again its not the job of a llm to do this make something that will

90% of software engineering is not about writing code.
completely true
Furthering my point
 
Ngl any coding/programming jobs are finished within the next 1-3 years.


Im working on some complex website and software and chatgpt can custom code literally anything i want


no need to hire a programmer


coders are finished right now. let alone in 1-3 years when ai improves even more.
so idk wtf to do when after hs do, literally worried
 
Of course it can detect downtime and alert developers, but if AI lacks the contextual understanding of an application, how can IT handle on-call responsibilities? At what point does it make the decision to involve experienced developers? At the point of failure? Then what is it doing beyond alerting? It doesn't possess the the depth of understanding to actually assess the severity of the issue. On-call responsibilities extend far beyond alerting.

Nope, those models still lack contextual understanding and are incapable of dynamically learning from ongoing discussions the same way humans can.

So when is AI taking muh job?

Then why don't you enlighten me on how either of those can resolve a zero-day vulnerability in a timely manner instead of providing another ad hominem, you're running out of those.

Furthering my point
what you are expecting is something to run a whole company i thought your whole argument was engineers getting replaced by ai, two completely different things. It does have contextual understanding claude 2.1 literally demonstrated it with 200k tokens althought it was no where near as consistent as chatgpt.

Then why don't you enlighten me on how either of those can resolve a zero-day vulnerability in a timely manner instead of providing another ad hominem, you're running out of those.
it wont, companies have devops lifecycles to do this, this should always be automated of course companies with ancient infra need it, you can just use chatgpt to help migrate an entire infrastructure just as you were saying "those models still lack contextual understanding and are incapable of dynamically learning from ongoing discussions the same way humans can". i've literally used chatgpt to migrate from manual deployments to be more scalable with kubernetes and helm.

Someone will be always on call but its just how many of them will be replaced in the next 3-5 years no one knows. I don't see it "furthering your point"
 
So when is AI taking muh job?
there will always be a need but not the same need as we say back in 2020 and you probably have already seen the job postings right now
 
Of course it can detect downtime and alert developers, but if AI lacks the contextual understanding of an application, how can IT handle on-call responsibilities? At what point does it make the decision to involve experienced developers? At the point of failure? Then what is it doing beyond alerting? It doesn't possess the the depth of understanding to actually assess the severity of the issue. On-call responsibilities extend far beyond alerting.

Nope, those models still lack contextual understanding and are incapable of dynamically learning from ongoing discussions the same way humans can.

So when is AI taking muh job?

Then why don't you enlighten me on how either of those can resolve a zero-day vulnerability in a timely manner instead of providing another ad hominem, you're running out of those.

Furthering my point
also theres dozens of post on blind, shit ton of senior engineers talking about being replaced, why do you think they say this despite being some the most competitive candidates
 
@Ai Impact I'm curious, since you're developing such a complex website,

What architectural pattern are you using? Monolith? Microservices? And why?
How will you handle millions of concurrent users? Any particular load balancing techniques you'll be using? How will you handle bottlenecks?
How are you designing your database such that you'll ensure data consistency while also balancing denormalization for query performance?
How was your data architected? Will you be using a relational or non-relational database?
What security model are you using?
How will you handle image and media optimization?
How are going to manage cache consistency and expiration?
How will you handle static vs dynamic content delivery? Will you be utilizing a CDN?
What about your resilience strategies when one of your APIs fail?
Any particular deployment strategies?
What monitoring tools will you be utilizing?
Code written by GPT is quite rubbish... how will you maintain code quality? Testing?

I love backend development :love: :love: :love:
 
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Absolute plonker
 
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what you are expecting is something to run a whole company i thought your whole argument was engineers getting replaced by ai, two completely different things. It does have contextual understanding claude 2.1 literally demonstrated it with 200k tokens althought it was no where near as consistent as chatgpt.

Then why don't you enlighten me on how either of those can resolve a zero-day vulnerability in a timely manner instead of providing another ad hominem, you're running out of those.
it wont, companies have devops lifecycles to do this, this should always be automated of course companies with ancient infra need it, you can just use chatgpt to help migrate an entire infrastructure just as you were saying "those models still lack contextual understanding and are incapable of dynamically learning from ongoing discussions the same way humans can". i've literally used chatgpt to migrate from manual deployments to be more scalable with kubernetes and helm.

Someone will be always on call but its just how many of them will be replaced in the next 3-5 years no one knows. I don't see it "furthering your point"
Your company is already using an in-house LLM? Not realistic for most companies, I work for a F100 that has yet to implement an accurate one trained on our data.
 
Your company is already using an in-house LLM? Not realistic for most companies, I work for a F100 that has yet to implement an accurate one trained on our data.
i mean llm for what, im just talking about automating the on call from notifying to automatica failover, thats just modern devops, most f100 except big tech have it. I have done internships for a lot of the big media companies and none of them had sound devops life cycles to truly automate on call. The better the devops, the less the need for on call, at my current job, we literally have 0 pipelines for deployment, if something goes wrong it is on call. During my internships at amazon and a smaller company the devops was sound and anything that would need on call would just be fixed the next day and not need it because we would point the application to a different region where the same application is deployed
 
also theres dozens of post on blind, shit ton of senior engineers talking about being replaced, why do you think they say this despite being some the most competitive candidates
Overhiring during covid with low interest rates followed by hikes led to this, not muh AI. Blind is delusional about the real world.
 
Overhiring during covid with low interest rates followed by hikes led to this, not muh AI. Blind is delusional about the real world.
i mean when over like 75% of them believe in possible replacement, i wanna hear them out, the companies that produce these chatbots believe large replacements will happen (specifically altman) anthropic was birthed out of safety of ai. The people in blind aren't as delusional as the people on linkedin most of them are shit posting but a lot of them are in prestigious companies because they are the top engineers
 
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aka 5x less jobs

and its not even 5x faster. its instant. at least 1000000x faster. aka 1000000x less jobs
No cause that AI will just create more technical advancements in software, causing more jobs to be needed.

And for the time being it is no where near instant, unless it's very simple stuff, which is likely what it's doing for you. you know the dunning Kruger effect? You're right at the peak of enthusiasm.

As someone who's training to be an AI specialist, it's really not as advance as most people think. Like someone else said in this thread "really good predictive text".
 
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Honestly though it’s hilarious to hear an obvious teenage NEET talking about something he has no idea about. This site has the most amazing abominations.
 
Ngl any coding/programming jobs are finished within the next 1-3 years.


Im working on some complex website and software and chatgpt can custom code literally anything i want


no need to hire a programmer


coders are finished right now. let alone in 1-3 years when ai improves even more.
just learn welding
 

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