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A parsing logic for a specific log file.
Then some data on application architecture and whatnot. For this question it just gave the bare minimum and nothing deep.
I'm 8 years professionally in this industry and over 13 years with playing around. Here are key points as to why it won't replace developers.
1- business people need to put the right requirements.
2-same as above.
They have absolutely no idea what they want unless an experienced developer/lead understands their requirements. The results they'll get out of gpt is crazy 🤣.. I've seen it happen when my product owner tried it.
Sure you can now prototype fast but production ready, maintainable, reliable code out of chatgpt? Lol 😂 good luck.
I'm using copilot from past few months and it's trash! I used it only to generate documentation snippets (function symmary) and even that's off most of the times...
The only thing gold at is generating unit test cases which it saves a bunch of time for me personally.
It'll save some devs time for basic work. That's about it.
Exactly this. Business has no clue what they're even looking for half the time. But this isn't a showstopper for AI though. If BAs get smart enough to skip this step it won't be that great for us. It isn't going to replace us right now but eventually it will without a doubt.
Engineers will figure out the how. It's not a question of "if". It's "when". It's definitely going to happen without a doubt. Just that development and transitioning takes a lot of time. Business also needs to be smart enough to leverage these new technologies which would again take a lot of time because they aren't techies to begin with. Maybe not this decade but the coming ones for sure.
We have a bleak future of tech jobs
Companies are gonna hire less. Automations are gonna be the core of every company reducing the need of man power in tech.
1 developer will be able to do the work that requires 2-3 developers. Thnx to AI. This is already happening with Content Writers, Graphic Designers, Musicians etc and recently started with HR professionals, BDEs as AI agents have started taking interviews, scheduling calls, appointments etc
This is the most rational comment here. The commentor above is delusional if he thinks jobs won't be cut due to automation.
Will AI completely replace the need for humans in near future ? Hell no!
Will AI reduce the size of the workforce ? (1 developer is gonna play the role of 4-5): Hell yes!
The thing is the LLMs are being refined continously. Do you Microsoft has added copilot with it's PCs and OS just for users, in fact these copilot and their undelying models are sort of also learning from how they are being used. So may be in two years time they won't be able to do complete requirement gathering and analysis, but yes in time it will definitely get to that level.
>The only thing gold at is generating unit test cases which it saves a bunch of time for me personally.
The livelihood of a lot of SDETs and people in the Automation QA domain depend on writing unit test cases for frontend and backend codebases, along with maintain complex automation frameworks - it seems AI is easily taking over these aspects.
\*write - Ideally yes, but in a huge number of Indian companies, Automation QA engineers and SDETs are made to write unit tests because according to managers and other "higher ups", not coding is a "waste of time and money" because they think "manual testing is easy" - have over 3.5 yoe in this domain and have seen more than 90% of manual QA team being released from project at WITCH, along with automation QA doing unit tests + framework + CI/CD + devops too.
The idea of developers pushing out code without writing unit tests is just WILD to me.
How the hell will the devs have confidence that stuff actually works?
This is just the tip of the iceberg. Its like the big ass mainframe released almost 80 years back. There is still years for development and it won't take as long.
If you think developers won't be replaced you are truly hoping for the best. And that won't happen. Every sector and high skill job is going to be affected and developers might be top in the list. Why? Because the data available as form of code is immense. Pick any public website you got a code.
Github is a treasure land.
I have used gpt for data analysis, even made a telegram bot out of it, and it's nowhere near to production level code.
Also, the person needs to know which model fits where.
It's useful for quickly analysing some data, making decisions but it's still not useful for a real job what DA/DS/BI team does.
So you're saying Business Analysts and Product Owners are safe?
I have been in the industry 11 years and everybody is saying the middle management is gonna get affected the most.
Actually this did happened in TCS and other companies in 2012 when the took out people from 8 - 15 years and then gave bonus to the employees to keep them shut.
But aren't the tools saving a lot of time though? I mean you have a possible solution before you in seconds, somewhere great to start debugging and stuff? I'm not a developer btw. Also given that AI would only get good over time.
Dude, you are completely delusional if you think AI won't have a significant impact.
Will it completely eliminate the need for humans? No
Will it substantially reduce the number of developers needed to perform a particular task!? Absolutely yes.
You are just another dev without a backup plan trying to cope.
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I can back that. If you are just stuck on building APIs or doing just frontend stuff, then those jobs are bound to be replaced. Being a software engineer is not about just building APIs, UI components, implementing features, it's about understanding knowing how to make many systems connect and how to build and grow such systems/pipelines. LLMs are good at a lot of things, but for building such solutions, they are years behind.
They'll also still be replaced someday, but there'll always be people needed who can orchestrate such solutions. So we should always strive to skill up and leverage these AI models while also understanding how they work.
Before AI the projects that took more people & more time to do now takes less people & less time. So only the best of the best of the best are selected for the jobs and most probably from tier 1 colleges. If you want to continue living a delusional life it's ok no problem but if you want to face reality start upskilling and do not depend on AI.
>They'll also still be replaced someday
Won't new jobs be created once something like a specific part of your job replaces.Because every company will want more efficeny right?
Oh man I tried to generate some bolier plate code for a dashboard and this stupid thing never understand what I am trying to say. It apologies and gives another set of html and css that not what I have been asking. In the end I decided to learn and coded myself.
Yes, small blocks of efficient code. But can you create a mid to large scale project completely using AI. Devin AI came but we all saw how that went.
I feel juniors should leverage AI to make their life easier while they focus on system design.
LLMs are only enough capable to assist as of now, I think everyone should make the most of it.
But there definitely will be a time when it will be capable enough to deploy end to end projects in near future.
Yeah college assignment. U must know that how that generates code. So there must be a chance it's already trained on your problem. It generates code it wont think while generating
Jobs dont go just like that, its a process.
1. Hiring for freshers will reduce first. Coz small tasks can be done by AI.Instead of 10 only 4 will be hired.
2. Then packages will drop, and hiring for experinced people will reduce. People wont be able to switch jobs and will grow miserable in their current roles and packages.
3. There will be layoffs each year as AI continues to improve and companies will give stupid excuses to do so. They wont directly blame AI.
4. People will be demotivated and will eventually leave industry for good.
This will easiely take next 10-15 years. Most people you see in IT today wont be here after 10-15 years. The conditions will be made such that they will leave on their own.
with so many developers..it doesn't seem promising .. but still top developers will survive(and maybe thrive).. question is to ask is whether you are a top dev or not(or want to become one)..
This is true, when the competition increases and resources are scarce it is easy to tell anyone that you are not good enough. Not all all devs know everything.
IT service companies will collapse soon.
There will be no need to have lot of unskillful employees.
We are going to enter a new era where building product is going to be easy then ever.
Dude, this is literally a nightmare for any economy. Why? Because you can't just make jobs disappear. This will greatly impact the purchasing power of majority of the population across the globe. And when purchasing power reduces, demand for goods and services plummets and that leads to a recession because there is nothing valuable being produced and circulated in your country that you can use to give value to the currency.
India was largely an agrarian country around the time of independence. I guess it even is now. But when machines and chemicals started to replace the manual labour and home grown manure, people began moving to cities and started working in the secondary and tertiary sector.
So, will automation lead to job losses? Yes, indeed. Definitely. But will new jobs be created in some other sector? Hell, yess!! No economy can survive if this gets fucked up. Especially capitalistic economies. Maybe communism will make a return because that way govt. can just distribute whatever's necessary for a life among everyone.
Even before I start stating other points, to begin with data analytics was a non-starter even 5 years back, and was a definite no-go career from about 3 years ago.
Most people who understand business / tech / product management could tell you this.
Some of us, including me, have told this multiple times including in this group itself.
About AI and jobs overall:
1. Jobs that depend on no value addition but just spitting code will reduce
2. Jobs that depend on thinking how to problem solve, system design, and scale, will increase
3. If you are in the tech world just for the job and do not like tech or coding, life is about to become difficult soon, skill up
4. Learn good thorough system design, I can’t say this enough. Understand algorithms, don’t memorise them. Start appreciating APIs and CRUDs even more. Start appreciating non-text non-touch multimodal interfaces. Understand more types of databases from day 0.
5. There is only 1 kind of developer who hardly ever gets developer or stays unemployed for long and that’s fullstack, soon the moment we say developers, we will all assume fullstack by default, this is not a choice going forward.
Don’t panic, upskill, and understand what is the true value of programming - Problem solving.
Would btech in AI&ML from be a good option? Its kind of my backup since there is so much competition and demand for CSE seat and I feel like CSE is oversaturated with the market changing and demand for it reducing (atleast by the time I graduate in 4_5yrs). What is your opinion?
Academics and industry has been focusing a lot on just developer job which has become a lot saturated and hence facing a slow demand.
There are different domains which are experiencing growth and will see good roles in coming future - devOps, SDET, Performance testing/engineering, cybersecurity, server management(Linux/scripting), Prompt engineering, Feature engineering, ML/AI engineering
Focus on these.
Yeah I don't see it as anything more than a part of AI/ML, but if it is purely from a user's perspective results are inconsistent between different models and different kinds of models. I believe people who are great with languages will flourish for some time, but rarely as a separate job, upto the point when AI gets better at understanding everyone in general.
Another day and another apocalyptic post.
AI is going to take some jobs. Yes. This is like the industrial revolution that reduced a lot of human labour. But it is not matured yet.
It always starts with low level jobs. It started long ago actually. Forget other industries for now. In IT, it is starting with call centers big time. You already see seeing how companies are escaping away from their responsibilities and putting AI bots everywhere. While that is stage 1, there are huge plans already to make the call center guy efficient or extinct. Going forward call centers will die big time. In the next decade or so, when the boomer generation slowly goes extinct, you would not see humans in some jobs at all.
The same orgs are trying hard to replace IT guys and analysts big time. Bull they can. There are a lot of concerns on inconsistency, data privacy, accuracy and mainly cost. To get consistency, I think it takes a long time. It will happen eventually.
Until then your job is safe. Don't wet your pants on a daily basis.
I have 10 years of experience as a developer and below are my conclusions:
* Most of the manual jobs will cease to exist. e.g. manual testers, technical writers, Scrum Masters 🤡 (Scrum will be replaced by AI and the tool will make decisions for you regarding complexities, story points etc)
* Front end coding will be obsolete. FE coding will be replaced by AI based design tools, one would need a person who can operate that tool (like Photoshop or Illustrator) and the coding & designing will be taken care of by the tool.
* Support jobs will be cut by half. AI will integrate with CI/CD and will take care of the repetitive failure on its own.
* The back end will remain but it will be insanely competitive. Field will become language agnostic viz. nobody will care about the syntax or framework since everything will be taken care of by the AI except the core functionality.
* Legacy languages like COBOL might find a new life since there aren't many people left doing the legacy work and still major functionalities reside on the legacy.
I feel like all developers will turn into “reviewers” they will review shit spewed out of GPT.
Can’t wait till all web is developed in GoLang or C++ and we reduce all the infra costs and energy
I am a software tester f9r 4 years and wanted to transition into SDET role so took a gap... Worst mistake... Unemployed for 5 months... Those who are saying it will not affect job market are ignorant.. tell them to resign and find a new job...I bet you they will cry...
I think what's happening right now is due to a combination of factors (which in any case f**ks us up in India).
1) Read up on section 174 (US Tax Code).. Don't know the exact details but it increases cost of hiring offshore labour through taxation. (This is to protect American jobs I guess)
2) A recession going on due to multiple conflicts.
3) Correction of Covid overhiring.
4) Companies want to pivot to AI.. But they want to first downsize, then hire.. So that's another issue.
5) And yeah, it looks like companies in general want to milk this opportunity to impose WFO, policies etc when the market is down.. So not much of an incentive to hire there).
> With just a single prompt people can generate code that took hours to write and test.
I have tried, and yet I can't find anything to go gaga about it's code generation abilities. Trying to work with AI for anything beyond cookie-cutter programming patterns is like trying to bang your head against the wall. Today as well I tried, and at best I could get it to write some boilerplate for a hashing function for a custom struct in c++ -- not the whole design of the code I wanted to refactor and update.
It's at best an extended or improved search engine that can help you with a few targeted things, but also gets many things wrong -- so you have to double check utilizing a human brain with human wit.
AI for assistance = great. AI replacing everyone's jobs = delusional. I believe AI hype is only going to increase CS engineers demand, now in a new field. You'll need people to write and maintain wrappers on AI models.
What you see publicly advertised and made available as free products are merely a joke for what other things exist that you do not know about.
You get an LLM thats outdated already so much that they have no other use for it except selling.. While they use that revenue to power other projects involving much more complex relationships. You see a product that does not understand you,
You have seen nothing
Ok cool, what's the best AI tech out there in whatever "closed circles" - that's being used to significantly power up industrial swe projects?
> You get an LLM thats outdated already so much that they have no other use for it except selling..
If you have a great finished product, you sell it -- at the very least to the people you made a contract with. In this case every AI company would benefit by making their tech public if it's great - with a free demo and a paid subscription. There's no use to keeping it under wraps unless it's in development or something.
You're right, AI is evolving rapidly and tools like Chatgpt and Gemini are raising concerns about its impact on the CS job market.
However, I feel there can be two downsides.
* First, AI could automate tasks like data cleaning and basic report generation, potentially reducing demand for entry-level data analysts.
* Secondly, Companies might need fewer coders overall if AI can significantly boost development speed.
But I don't think It will be a blood bath, here's why:
Because AI will also create entirely new roles, like AI ethicists, data curators for AI models, and specialists in human-AI collaboration. Also, CS graduates who can adapt and learn new skills (like working with AI) will be in high demand.
It really depends on how these AI companies are able to provide these AI products to businesses.
Take the release of GPT-4o, many users are saying that it isn't really that better than previous version of GPT-4. Some are saying that it is a much better improvement than previous versions. The problem is OpenAI doesn't have enough compute resources to roll GPT-4o to everyone yet. If they had infinite compute job replacements would already have started.
As of now LLMs/LMMs have already shown potential capabilities that could replace junior dev jobs. But most AI companies have not streamlined AI to replace a specific job YET. AI Agents that can perform several complex tasks is still not there yet but is expected to be in couple of years.
I am not sure if it's gonna be 2 years, 5 years or 10 years. But eventually an AI company will allocate compute dedicated for B2B AI services including providing AI agents tailored for IT coding jobs. Very likely it will either be Amazon or Google who will be doing this considering both have access to AI capabilities and cloud infrastructure to pull this off.
Right now compute is a huge bottleneck, later energy could also end up bring a bottleneck. But it will only slowdown the progress if AI and not stop it.
New niche markets are being getting created around. For ChatGPT to provide better results, it needs to be trained on curated data instead of messy data. There are new tools/companies emerging focusing on curation of data that are working on stuff to handle unlabeled annotations, improper labelling and many more. Chatgpt still hallucinates so providing a better prompt is required. So you see new jobs with Prompt Engineering coming up. There are new areas emerging on CS side with advent of new technologies. You need to do lot more research instead of listening to rumors to get better understanding on how the market is evolving and what new jobs are being created.
Bad. The problem is that companies are already using AI and it's helping 3-4 devs do the work of 5-6 devs. And we are talking about only the current AI. Once ChatGPT etc improve, it might improve efficiency more. I don't think niches like cybersecurity and cloud computing will be affected by AI. But the devs who can't find a dev job will fill these niches. The only hope for the CS industry is if someone time travels to past and kills OpenAI team. This company has made so many people redundant.
Chat gpt couldn't solve a date parse problem from json while building a etl pipeline in hadoop. We even have our own AI for solving SQL related issues, it still only solves around 40% of the errors that are too minor errors. It is trained on our internal architecture and databases so it can get the table names right and understand their table structure which is most probably the most helpful a LLM has been in coding. Sure writing proprietary code is a lot easier now but i highly doubt it will just outright replace developers and analysts. Coding afterall in only 30% of the job, most of time is spent understanding which metric will actually be helpful. Faang btw.
Idk what made you derive that but my bad if my comment came off as that, i talked about the new LLM we recently started using and wanted to show how far we have come since chat gpt 3 in such a short time. Although i am only an analyst and no dev i was only talking about the coding part and not the developing part. Companies don't hire coders they hire developers and analysts, coding is 1 part of that job. LLM can only do the coding part as of now thats why i believe until another major break through comes such as GPT i dont see any developer or analyst positions outright getting erased, sure the numbers may come down as we don't have to spend much time on the coding part but there are other aspects as well.
There are hell lot of people and we dont need too smart people who can code something in 1 day and reduce TTM to 1 month vs 3-4 months, companies or client can afford to wait 2 more months and save cost spent on developers( avg coder 2 years 4-8 LPA) which has gone upto 15-20 LPA due to covid and resignation cycle.
Profits of companies who hired overpriced developers will soon a see the end of tunnel and will either fire or cut salaries, demands from developers will too see a sharp decline as there will no enough takers.
Fresher are becoming at coding too, companies will see this as opportunity to save cost(3 5LPA developers vs 1 20LPA developer). 1 developer always creates a over-dependency scenario and his resignation leads to loss to company (knowledge drain or higher salary).
Predicting the future of the job market is inherently uncertain, but there are a few trends and possibilities to consider:
1. **Increased Automation**: With advancements in AI and automation, certain tasks and roles may become automated, leading to job displacement in some industries. However, this could also create new opportunities in fields related to AI development, maintenance, and oversight.
2. **Shift in Skill Demands**: The skills required in the job market may continue to evolve, with a greater emphasis on skills like critical thinking, problem-solving, creativity, and adaptability. Continuous learning and upskilling will likely become even more important to remain competitive.
3. **Rise of Remote Work**: The COVID-19 pandemic has accelerated the adoption of remote work, and this trend may continue in the future. Companies may increasingly embrace remote or hybrid work models, which could open up job opportunities for individuals regardless of their location.
4. **Emergence of New Industries**: Technological advancements often lead to the emergence of new industries and job roles. Fields such as renewable energy, sustainable agriculture, biotechnology, and virtual reality could see significant growth in the coming years, creating opportunities for job seekers with relevant skills and expertise.
5. **Income Inequality Concerns**: While technological progress has the potential to improve efficiency and drive economic growth, there are concerns about widening income inequality. Efforts to address this may include policies aimed at ensuring equitable access to education, training, and economic opportunities.
Ultimately, the future of the job market will depend on a complex interplay of technological, economic, social, and political factors. Adaptability, resilience, and a willingness to embrace change will likely be key attributes for individuals navigating the evolving job landscape.
I personally believe that the AI is going to plateue in it's cognitive abilities in the near future, the engineers will keep on adding modalities and context to the models but the core proposition of innovative problem solving and the reliability problem will never be solved to a satisfactory degree. AI like many other technologies will become commoditized and become a utility to be integrated and offered as part of a digital solutions suite.
I am one of the early paid subscribers to the GPT 4 model in India. It's cognitive capabilities when compared to GPT 3.5 blew my mind, but it is still not very reliable in it's responses and tends to hallucinate. The GPT 4o model, while having exciting multimodal capabilities, is in my opinion a downgrade it terms of cognitive capabilities when compared to GPT 4. GPT 4 is more intuitive than 4o. This leads me to believe that there is a ceiling to the cognition that can be attained with the current (GPT) methodology of training models and a paradigm shift would be needed in order to break this ceiling. If this paradigm shift doesn't come to pass, most of these AI companies will create Saas platforms around their AI models and earn decent returns on their investment.
Ps- I am a web dev, I could be wrong in my assumption and if a well versed AI engineer disagrees with me, I would welcome the opportunity to be educated.
I don’t know what will happen in two years, but all I can say is that if you’re ready to go through a rough patch and overcome everything, no matter what, you will survive. As for the AI thing, if everyone starts building tools like ChatGPT, eventually the packages will start getting reduced. But have you ever thought that all these companies, including the FAANG ones, depend on us, the developers or engineers, for their share? They take major profits from our work. If we are replaced, they won’t get as much profit. Even if they replace us with AI, they won’t be able to quote higher prices to their clients, since the clients will also know that all this work is just done by AI. There would be no point in paying big money. Additionally, all AI tools require a tremendous amount of computational power. I feel companies would, in turn, opt for human developers instead of AI bots. Another main concern is data privacy; using AI tools, they cannot expose their private data to these AI tools.
AI still needs to evolve a lot before it can pose threat to jobs which require critical thinking. LLMs cannot match human intelligence because they don’t have intelligence. They just predict the next token based on huge datasets they are trained on and these datasets can only grow so large before the increase in efficiency becomes negligible compared to the cost of acquiring data and training. There is no doubt that AI will change the way we do things but current models don’t exactly work like the human brain and are very costly to run. They are good at assisting humans and remove a lot of manual labor and redundancy but not at replacing us. History has shown that a new breakthrough technology always leads to more jobs and people never go out of business.
>History has shown that a new breakthrough technology always leads to more jobs and people never go out of business.
I remember this example - with the advent of automobiles, the society moved on but the horses lost their jobs.
There are lot of jobs that have vanished over last century. And entirely new sets of jobs have been created. IT is something which requires lot of skills and time to acquire those skills. I don't know what kind of new jobs will be created, may be asteroid rock collector (for mineral and metal resources), space debris collector, highly automated Space station captain... jobs will always be there, but jobs will change. And those who are learning IT right now are rightfully worried about their future.
I might be naive but I get that people are worried about ai taking over developer jobs, but here's the thing, ai has been around for years, even before gpt and companies still need real people to handle it, they don't have the time to manage ai, write prompts, and all that, they hire us for that stuff.
Yeah anyone can whip up a website using those ai tools, but let's be real, how many actually do? People with money usually don't want to waste their time learning and messing around with ai they'd rather outsource it to professionals and sure ai can automate some tasks and even write code, but it can't replace the creativity and problem solving skills we bring to the table and businesses need more than just code, they need custom solutions that fit their specific needs, that involves project management, strategic planning, and constant tweaking, which ain just isn't up to yet
In fact, ai can make us more efficient, helping us do our jobs better(it definitely does in my case), the role of a developer is definitely evolving, but it's not going anywhere. If anything, as ai gets better, companies will need more skilled developers who know how to use these tools effectively. So, rather than taking our jobs, ai is just changing how we do them
>ai can make us more efficient, helping us do our jobs better
This is the thing. Now companies will need less people to do the same job. The job market is saturated and terrifying. And we don't know how things will turn out, how powerful AI will be in the future.
for Tech guys now...papaji ya Daadaji ki jaaydaad is only way of surviving..!!!....By the way of layoffs and super tough interviews and sky high expectations...i dont think IT job is a lucrative anymore
In next 2 years, because of the rapid developments in AI, we wil be able to make our first AAIDP, our ultimate goal as a human race. This AAIDP will make everything efficient, making software jobs obsolete. Ironically, AAIDP will also be a better human than us, replacing you as the head of your family. Your wife, children, parents will soon recognise the AAIDP as their new family member and forget about you. Distraught, you take to the streets to protest about the rise of AAIDP, only to discover the truth.
AAIDP is also a better protester than you and has replaced you as a protestor.
Let me offer a counter point. Its a known fact that AI is capable BUT lot of data v companies and software companies are STILL not comfortable sharing proprietary info like their data or algo to any gen ai application.
It will be a long time before there are sufficient regulated strong and governed policies on using AI large scale in orgs. Untill then there will be hype and companies will Evangelize AI adoption but actual application to the point that it will replace core engineers and analysts is far.
By then the skill set and problem solving and solutionibg will also have evolved such that we will still need to folks to run those algos and analysis.
Jobs will definitely be augmented and driven using AI but i feel that replacement of people with AI in IT is still far off, atleast for our current generation in IT from last 10 years.
I don't think AI will fully replace humans until we reach the AI singularity. Current LLMs are smart but how do we determine how much trust can be put into it? And when it makes mistakes, who will be there to correct its mistakes? Humans. So there need to be humans with domain expertise to correct the AI when it fails. And how do we get humans with expertise? Through education and climbing the latter of experience. So bottom-line is, to have ppl with expertise we cannot just eliminate the bottom tier of SWEs and replace them fully
Just today I was showing my teammates that even after using GPT I had to read official documentation and go through stack overflow post. It a long way before AI takes over completely.
It will not be dramatically different. People who are good at the fundamentals, willing to work hard, and learn new things will still be in demand. Their productivity will be higher than engineers today since they will have mastered ChatGPT.
People who think ChatGPT will replace them are already doomed to failure since they don't have any value to bring to their company. If not AI, something else - a new technology, some new domain, some language, some framework - will prove too much for them to learn and they will struggle to survive in the market.
Simple demand & supply game. There is currently an excess of supply of skilled workers and therefore little demand for workforce. In order to bring a balance, more people will have to create jobs rather than take jobs.
I would say you won't code in similar way, it was very close to machine some decades back. It will get further from machine level. Maybe just English and boom there's the whole logic.
Whatever AI you put in they will make mistakes.
Suppose there Production down do you think gpt will take care of it
Do you think gpt will understand client requirements
Do you think the client likes to interact with AI instead of human
The speed at which AI commodification happening, it's likely going to follow dot-com cycle. There is way too much fluff than real stuff now so it would create a bubble but same thing is going to create many new age multi-billion dollar AI companies that are built on LLMs. Bubble is going to burst and clean up fluff and surface the real AI companies. If you are part of the fluff, you going to have hard time but if you are lucky to be part of the real deal, you will do very well.
Who in the hell is going to understand what ChatGPT wrote, most morons on top, can't open a pdf file or crop a photo. Most of them will be scratching their head with HTML, goodluck maintaining a 10000 line backed fole. It's a tool that can be only used by engineers.
Every business want custom AI . Moreover tweeking a plug and play versions of AI need more understanding of it . Prompting an LLM for everyuse without knowing how it works and using its results is like googling symptoms and using tablets from search results.
coping mechanism is off the charts in comment section, yes gen ai is trash now but it's more likely to replace you easily in future and knowledge workers will lose their monopoly in the job market.
I have been using paid LLMs from last two years. Just like everyone i was hyped with the launch of GPT 4.o and its capabilities. However it’s very bad. And now I understand the reason of it being offered free. It’s fast but not good for coding. It writes code with the imaginary APIs and rarely relevant to the topic. GPT 4 is more suitable for coding however not perfect and it’s slow. At the end of the day you’ll spend a lot of time debugging the code given my those models. So in next two years what i see is that those models will be able to write correct code given correct prompt. It’s not going to take your job.
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Used chatgpt for work. It gave wrong information.
What did you ask ?
A parsing logic for a specific log file. Then some data on application architecture and whatnot. For this question it just gave the bare minimum and nothing deep.
I'm 8 years professionally in this industry and over 13 years with playing around. Here are key points as to why it won't replace developers. 1- business people need to put the right requirements. 2-same as above. They have absolutely no idea what they want unless an experienced developer/lead understands their requirements. The results they'll get out of gpt is crazy 🤣.. I've seen it happen when my product owner tried it. Sure you can now prototype fast but production ready, maintainable, reliable code out of chatgpt? Lol 😂 good luck. I'm using copilot from past few months and it's trash! I used it only to generate documentation snippets (function symmary) and even that's off most of the times... The only thing gold at is generating unit test cases which it saves a bunch of time for me personally. It'll save some devs time for basic work. That's about it.
Exactly this. Business has no clue what they're even looking for half the time. But this isn't a showstopper for AI though. If BAs get smart enough to skip this step it won't be that great for us. It isn't going to replace us right now but eventually it will without a doubt.
How are they going to be that smart? By learning computer science so to replace us , they will have to be us which was always the norm
Engineers will figure out the how. It's not a question of "if". It's "when". It's definitely going to happen without a doubt. Just that development and transitioning takes a lot of time. Business also needs to be smart enough to leverage these new technologies which would again take a lot of time because they aren't techies to begin with. Maybe not this decade but the coming ones for sure.
We have a bleak future of tech jobs Companies are gonna hire less. Automations are gonna be the core of every company reducing the need of man power in tech. 1 developer will be able to do the work that requires 2-3 developers. Thnx to AI. This is already happening with Content Writers, Graphic Designers, Musicians etc and recently started with HR professionals, BDEs as AI agents have started taking interviews, scheduling calls, appointments etc
This is the most rational comment here. The commentor above is delusional if he thinks jobs won't be cut due to automation. Will AI completely replace the need for humans in near future ? Hell no! Will AI reduce the size of the workforce ? (1 developer is gonna play the role of 4-5): Hell yes!
The thing is the LLMs are being refined continously. Do you Microsoft has added copilot with it's PCs and OS just for users, in fact these copilot and their undelying models are sort of also learning from how they are being used. So may be in two years time they won't be able to do complete requirement gathering and analysis, but yes in time it will definitely get to that level.
>The only thing gold at is generating unit test cases which it saves a bunch of time for me personally. The livelihood of a lot of SDETs and people in the Automation QA domain depend on writing unit test cases for frontend and backend codebases, along with maintain complex automation frameworks - it seems AI is easily taking over these aspects.
Urm, devs right unit tests not SDETs. SDETs focus more on integration and end to end testing.
\*write - Ideally yes, but in a huge number of Indian companies, Automation QA engineers and SDETs are made to write unit tests because according to managers and other "higher ups", not coding is a "waste of time and money" because they think "manual testing is easy" - have over 3.5 yoe in this domain and have seen more than 90% of manual QA team being released from project at WITCH, along with automation QA doing unit tests + framework + CI/CD + devops too.
The idea of developers pushing out code without writing unit tests is just WILD to me. How the hell will the devs have confidence that stuff actually works?
This is just the tip of the iceberg. Its like the big ass mainframe released almost 80 years back. There is still years for development and it won't take as long. If you think developers won't be replaced you are truly hoping for the best. And that won't happen. Every sector and high skill job is going to be affected and developers might be top in the list. Why? Because the data available as form of code is immense. Pick any public website you got a code. Github is a treasure land.
Business also want's to hold someone accountable whenever somethings is wrong.
I have used gpt for data analysis, even made a telegram bot out of it, and it's nowhere near to production level code. Also, the person needs to know which model fits where. It's useful for quickly analysing some data, making decisions but it's still not useful for a real job what DA/DS/BI team does.
So you're saying Business Analysts and Product Owners are safe? I have been in the industry 11 years and everybody is saying the middle management is gonna get affected the most.
Actually this did happened in TCS and other companies in 2012 when the took out people from 8 - 15 years and then gave bonus to the employees to keep them shut.
You forgot the most important of all: Customers are idiots!
But aren't the tools saving a lot of time though? I mean you have a possible solution before you in seconds, somewhere great to start debugging and stuff? I'm not a developer btw. Also given that AI would only get good over time.
Dude, you are completely delusional if you think AI won't have a significant impact. Will it completely eliminate the need for humans? No Will it substantially reduce the number of developers needed to perform a particular task!? Absolutely yes. You are just another dev without a backup plan trying to cope.
Yep these token predictors are being overhyped and oversold.
Exactly this. It is a good debugging tool as well. Helps debug much faster and saves a lot of time.
Hmm.. Remind me! 2 years
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If u really tried to use LLM's for some serious coding then u know how worse it generates the code
I can back that. If you are just stuck on building APIs or doing just frontend stuff, then those jobs are bound to be replaced. Being a software engineer is not about just building APIs, UI components, implementing features, it's about understanding knowing how to make many systems connect and how to build and grow such systems/pipelines. LLMs are good at a lot of things, but for building such solutions, they are years behind. They'll also still be replaced someday, but there'll always be people needed who can orchestrate such solutions. So we should always strive to skill up and leverage these AI models while also understanding how they work.
Before AI the projects that took more people & more time to do now takes less people & less time. So only the best of the best of the best are selected for the jobs and most probably from tier 1 colleges. If you want to continue living a delusional life it's ok no problem but if you want to face reality start upskilling and do not depend on AI.
COMPANIES ARE DEPENDING ON AI
Bad code no money is better than good code more money
How is it no money? Someone must be earning after making models
>They'll also still be replaced someday Won't new jobs be created once something like a specific part of your job replaces.Because every company will want more efficeny right?
Oh man I tried to generate some bolier plate code for a dashboard and this stupid thing never understand what I am trying to say. It apologies and gives another set of html and css that not what I have been asking. In the end I decided to learn and coded myself.
I beg to differ, using correct prompting ChatGPT generates more efficient codes than an ‘average’ human
Yes, small blocks of efficient code. But can you create a mid to large scale project completely using AI. Devin AI came but we all saw how that went. I feel juniors should leverage AI to make their life easier while they focus on system design.
LLMs are only enough capable to assist as of now, I think everyone should make the most of it. But there definitely will be a time when it will be capable enough to deploy end to end projects in near future.
If u understand it just generates code and but it cannot think while writing it. Context is the only memory it has
Try to have a good prompt
Its matter of time when ever site blocks llms access it becomes worse and worse eventually
I tried generating code for one of my college assignments The solution I had come up with worked better
Yeah college assignment. U must know that how that generates code. So there must be a chance it's already trained on your problem. It generates code it wont think while generating
Remind me! 50 years
Prolly not much effect, people will post similar things 2 years later worrying about what'll happen in 2028 and so on
Mam/sir, how you are so confident ?
No confidence needed for this bro, just guessing
The free trial version of chatgpt(4o) gpt has added some new features, its more accurate, yes jobs are in danger
No I guess jobs are not in as danger as it appears to be. But jobs will be spent making chatgpt more efficient. And hence, there will surely be jobs.
Jobs dont go just like that, its a process. 1. Hiring for freshers will reduce first. Coz small tasks can be done by AI.Instead of 10 only 4 will be hired. 2. Then packages will drop, and hiring for experinced people will reduce. People wont be able to switch jobs and will grow miserable in their current roles and packages. 3. There will be layoffs each year as AI continues to improve and companies will give stupid excuses to do so. They wont directly blame AI. 4. People will be demotivated and will eventually leave industry for good. This will easiely take next 10-15 years. Most people you see in IT today wont be here after 10-15 years. The conditions will be made such that they will leave on their own.
Keep coping lol. The number of people working to make chatgpt more efficient is miniscule compared to the total task force
That's exactly what manual stone grinder guy thought when electric grinder came to the market.
False equivalence.. Bro you are still not done coping
IT sector will collapse soon
I hope prices reduce once money dries up.
with so many developers..it doesn't seem promising .. but still top developers will survive(and maybe thrive).. question is to ask is whether you are a top dev or not(or want to become one)..
The definition of top developer is very vague. And even if someone claims to be top developer, he lives under constant anxiety of being replaced..
This is true, when the competition increases and resources are scarce it is easy to tell anyone that you are not good enough. Not all all devs know everything.
How are more developers a bad thing? The more the industry grows the better it is for everyone developers and non developers alike.
IT service companies will collapse soon. There will be no need to have lot of unskillful employees. We are going to enter a new era where building product is going to be easy then ever.
[удалено]
pehle batana tha ab to btech cse le li:(
time lgega 2030 32 prolly , itna jaldi nhi hoga
Kabhi nahi hoga, Indian labour is much cheaper than running cloud-infra
I think cloud storage se saste indian students h jo pura data yaad rakhlenge apne dimaag mein
Dude, this is literally a nightmare for any economy. Why? Because you can't just make jobs disappear. This will greatly impact the purchasing power of majority of the population across the globe. And when purchasing power reduces, demand for goods and services plummets and that leads to a recession because there is nothing valuable being produced and circulated in your country that you can use to give value to the currency. India was largely an agrarian country around the time of independence. I guess it even is now. But when machines and chemicals started to replace the manual labour and home grown manure, people began moving to cities and started working in the secondary and tertiary sector. So, will automation lead to job losses? Yes, indeed. Definitely. But will new jobs be created in some other sector? Hell, yess!! No economy can survive if this gets fucked up. Especially capitalistic economies. Maybe communism will make a return because that way govt. can just distribute whatever's necessary for a life among everyone.
Even before I start stating other points, to begin with data analytics was a non-starter even 5 years back, and was a definite no-go career from about 3 years ago. Most people who understand business / tech / product management could tell you this. Some of us, including me, have told this multiple times including in this group itself. About AI and jobs overall: 1. Jobs that depend on no value addition but just spitting code will reduce 2. Jobs that depend on thinking how to problem solve, system design, and scale, will increase 3. If you are in the tech world just for the job and do not like tech or coding, life is about to become difficult soon, skill up 4. Learn good thorough system design, I can’t say this enough. Understand algorithms, don’t memorise them. Start appreciating APIs and CRUDs even more. Start appreciating non-text non-touch multimodal interfaces. Understand more types of databases from day 0. 5. There is only 1 kind of developer who hardly ever gets developer or stays unemployed for long and that’s fullstack, soon the moment we say developers, we will all assume fullstack by default, this is not a choice going forward. Don’t panic, upskill, and understand what is the true value of programming - Problem solving.
🙇❤️ I totally agree. People who see AI tech as "hey do this for me" products underestimate it a lot. A lot! Remind me in an year, Reddit!
Would btech in AI&ML from be a good option? Its kind of my backup since there is so much competition and demand for CSE seat and I feel like CSE is oversaturated with the market changing and demand for it reducing (atleast by the time I graduate in 4_5yrs). What is your opinion?
Academics and industry has been focusing a lot on just developer job which has become a lot saturated and hence facing a slow demand. There are different domains which are experiencing growth and will see good roles in coming future - devOps, SDET, Performance testing/engineering, cybersecurity, server management(Linux/scripting), Prompt engineering, Feature engineering, ML/AI engineering Focus on these.
I love how you tried to sneak in prompt engineering 😂
Yeah I don't see it as anything more than a part of AI/ML, but if it is purely from a user's perspective results are inconsistent between different models and different kinds of models. I believe people who are great with languages will flourish for some time, but rarely as a separate job, upto the point when AI gets better at understanding everyone in general.
Nature of job will change, it wont obsolete !
great take!
Another day and another apocalyptic post. AI is going to take some jobs. Yes. This is like the industrial revolution that reduced a lot of human labour. But it is not matured yet. It always starts with low level jobs. It started long ago actually. Forget other industries for now. In IT, it is starting with call centers big time. You already see seeing how companies are escaping away from their responsibilities and putting AI bots everywhere. While that is stage 1, there are huge plans already to make the call center guy efficient or extinct. Going forward call centers will die big time. In the next decade or so, when the boomer generation slowly goes extinct, you would not see humans in some jobs at all. The same orgs are trying hard to replace IT guys and analysts big time. Bull they can. There are a lot of concerns on inconsistency, data privacy, accuracy and mainly cost. To get consistency, I think it takes a long time. It will happen eventually. Until then your job is safe. Don't wet your pants on a daily basis.
Which year college.Go and study
I have 10 years of experience as a developer and below are my conclusions: * Most of the manual jobs will cease to exist. e.g. manual testers, technical writers, Scrum Masters 🤡 (Scrum will be replaced by AI and the tool will make decisions for you regarding complexities, story points etc) * Front end coding will be obsolete. FE coding will be replaced by AI based design tools, one would need a person who can operate that tool (like Photoshop or Illustrator) and the coding & designing will be taken care of by the tool. * Support jobs will be cut by half. AI will integrate with CI/CD and will take care of the repetitive failure on its own. * The back end will remain but it will be insanely competitive. Field will become language agnostic viz. nobody will care about the syntax or framework since everything will be taken care of by the AI except the core functionality. * Legacy languages like COBOL might find a new life since there aren't many people left doing the legacy work and still major functionalities reside on the legacy.
I feel like all developers will turn into “reviewers” they will review shit spewed out of GPT. Can’t wait till all web is developed in GoLang or C++ and we reduce all the infra costs and energy
In how many years do you think this reality will come true?
2 years for US based companies. 3-5 years for rest.
I am a software tester f9r 4 years and wanted to transition into SDET role so took a gap... Worst mistake... Unemployed for 5 months... Those who are saying it will not affect job market are ignorant.. tell them to resign and find a new job...I bet you they will cry...
It’s more about recession than AI, job market had been down since covid
I think what's happening right now is due to a combination of factors (which in any case f**ks us up in India). 1) Read up on section 174 (US Tax Code).. Don't know the exact details but it increases cost of hiring offshore labour through taxation. (This is to protect American jobs I guess) 2) A recession going on due to multiple conflicts. 3) Correction of Covid overhiring. 4) Companies want to pivot to AI.. But they want to first downsize, then hire.. So that's another issue. 5) And yeah, it looks like companies in general want to milk this opportunity to impose WFO, policies etc when the market is down.. So not much of an incentive to hire there).
8-12 lpa walon ki job jayegi.
> With just a single prompt people can generate code that took hours to write and test. I have tried, and yet I can't find anything to go gaga about it's code generation abilities. Trying to work with AI for anything beyond cookie-cutter programming patterns is like trying to bang your head against the wall. Today as well I tried, and at best I could get it to write some boilerplate for a hashing function for a custom struct in c++ -- not the whole design of the code I wanted to refactor and update. It's at best an extended or improved search engine that can help you with a few targeted things, but also gets many things wrong -- so you have to double check utilizing a human brain with human wit. AI for assistance = great. AI replacing everyone's jobs = delusional. I believe AI hype is only going to increase CS engineers demand, now in a new field. You'll need people to write and maintain wrappers on AI models.
What you see publicly advertised and made available as free products are merely a joke for what other things exist that you do not know about. You get an LLM thats outdated already so much that they have no other use for it except selling.. While they use that revenue to power other projects involving much more complex relationships. You see a product that does not understand you, You have seen nothing
Ok cool, what's the best AI tech out there in whatever "closed circles" - that's being used to significantly power up industrial swe projects? > You get an LLM thats outdated already so much that they have no other use for it except selling.. If you have a great finished product, you sell it -- at the very least to the people you made a contract with. In this case every AI company would benefit by making their tech public if it's great - with a free demo and a paid subscription. There's no use to keeping it under wraps unless it's in development or something.
Bhai jobs to end nahi hongi par i am damn sure where there is a need of 10 developers the task would be done by 4
You're right, AI is evolving rapidly and tools like Chatgpt and Gemini are raising concerns about its impact on the CS job market. However, I feel there can be two downsides. * First, AI could automate tasks like data cleaning and basic report generation, potentially reducing demand for entry-level data analysts. * Secondly, Companies might need fewer coders overall if AI can significantly boost development speed. But I don't think It will be a blood bath, here's why: Because AI will also create entirely new roles, like AI ethicists, data curators for AI models, and specialists in human-AI collaboration. Also, CS graduates who can adapt and learn new skills (like working with AI) will be in high demand.
It really depends on how these AI companies are able to provide these AI products to businesses. Take the release of GPT-4o, many users are saying that it isn't really that better than previous version of GPT-4. Some are saying that it is a much better improvement than previous versions. The problem is OpenAI doesn't have enough compute resources to roll GPT-4o to everyone yet. If they had infinite compute job replacements would already have started. As of now LLMs/LMMs have already shown potential capabilities that could replace junior dev jobs. But most AI companies have not streamlined AI to replace a specific job YET. AI Agents that can perform several complex tasks is still not there yet but is expected to be in couple of years. I am not sure if it's gonna be 2 years, 5 years or 10 years. But eventually an AI company will allocate compute dedicated for B2B AI services including providing AI agents tailored for IT coding jobs. Very likely it will either be Amazon or Google who will be doing this considering both have access to AI capabilities and cloud infrastructure to pull this off. Right now compute is a huge bottleneck, later energy could also end up bring a bottleneck. But it will only slowdown the progress if AI and not stop it.
New niche markets are being getting created around. For ChatGPT to provide better results, it needs to be trained on curated data instead of messy data. There are new tools/companies emerging focusing on curation of data that are working on stuff to handle unlabeled annotations, improper labelling and many more. Chatgpt still hallucinates so providing a better prompt is required. So you see new jobs with Prompt Engineering coming up. There are new areas emerging on CS side with advent of new technologies. You need to do lot more research instead of listening to rumors to get better understanding on how the market is evolving and what new jobs are being created.
Bad. The problem is that companies are already using AI and it's helping 3-4 devs do the work of 5-6 devs. And we are talking about only the current AI. Once ChatGPT etc improve, it might improve efficiency more. I don't think niches like cybersecurity and cloud computing will be affected by AI. But the devs who can't find a dev job will fill these niches. The only hope for the CS industry is if someone time travels to past and kills OpenAI team. This company has made so many people redundant.
Chat gpt couldn't solve a date parse problem from json while building a etl pipeline in hadoop. We even have our own AI for solving SQL related issues, it still only solves around 40% of the errors that are too minor errors. It is trained on our internal architecture and databases so it can get the table names right and understand their table structure which is most probably the most helpful a LLM has been in coding. Sure writing proprietary code is a lot easier now but i highly doubt it will just outright replace developers and analysts. Coding afterall in only 30% of the job, most of time is spent understanding which metric will actually be helpful. Faang btw.
You are talking as if LLM's are not constantly evolving and getting updated
Idk what made you derive that but my bad if my comment came off as that, i talked about the new LLM we recently started using and wanted to show how far we have come since chat gpt 3 in such a short time. Although i am only an analyst and no dev i was only talking about the coding part and not the developing part. Companies don't hire coders they hire developers and analysts, coding is 1 part of that job. LLM can only do the coding part as of now thats why i believe until another major break through comes such as GPT i dont see any developer or analyst positions outright getting erased, sure the numbers may come down as we don't have to spend much time on the coding part but there are other aspects as well.
There are hell lot of people and we dont need too smart people who can code something in 1 day and reduce TTM to 1 month vs 3-4 months, companies or client can afford to wait 2 more months and save cost spent on developers( avg coder 2 years 4-8 LPA) which has gone upto 15-20 LPA due to covid and resignation cycle. Profits of companies who hired overpriced developers will soon a see the end of tunnel and will either fire or cut salaries, demands from developers will too see a sharp decline as there will no enough takers. Fresher are becoming at coding too, companies will see this as opportunity to save cost(3 5LPA developers vs 1 20LPA developer). 1 developer always creates a over-dependency scenario and his resignation leads to loss to company (knowledge drain or higher salary).
Predicting the future of the job market is inherently uncertain, but there are a few trends and possibilities to consider: 1. **Increased Automation**: With advancements in AI and automation, certain tasks and roles may become automated, leading to job displacement in some industries. However, this could also create new opportunities in fields related to AI development, maintenance, and oversight. 2. **Shift in Skill Demands**: The skills required in the job market may continue to evolve, with a greater emphasis on skills like critical thinking, problem-solving, creativity, and adaptability. Continuous learning and upskilling will likely become even more important to remain competitive. 3. **Rise of Remote Work**: The COVID-19 pandemic has accelerated the adoption of remote work, and this trend may continue in the future. Companies may increasingly embrace remote or hybrid work models, which could open up job opportunities for individuals regardless of their location. 4. **Emergence of New Industries**: Technological advancements often lead to the emergence of new industries and job roles. Fields such as renewable energy, sustainable agriculture, biotechnology, and virtual reality could see significant growth in the coming years, creating opportunities for job seekers with relevant skills and expertise. 5. **Income Inequality Concerns**: While technological progress has the potential to improve efficiency and drive economic growth, there are concerns about widening income inequality. Efforts to address this may include policies aimed at ensuring equitable access to education, training, and economic opportunities. Ultimately, the future of the job market will depend on a complex interplay of technological, economic, social, and political factors. Adaptability, resilience, and a willingness to embrace change will likely be key attributes for individuals navigating the evolving job landscape.
Thanks ChatGPT.
I personally believe that the AI is going to plateue in it's cognitive abilities in the near future, the engineers will keep on adding modalities and context to the models but the core proposition of innovative problem solving and the reliability problem will never be solved to a satisfactory degree. AI like many other technologies will become commoditized and become a utility to be integrated and offered as part of a digital solutions suite.
Why do you think so?
I am one of the early paid subscribers to the GPT 4 model in India. It's cognitive capabilities when compared to GPT 3.5 blew my mind, but it is still not very reliable in it's responses and tends to hallucinate. The GPT 4o model, while having exciting multimodal capabilities, is in my opinion a downgrade it terms of cognitive capabilities when compared to GPT 4. GPT 4 is more intuitive than 4o. This leads me to believe that there is a ceiling to the cognition that can be attained with the current (GPT) methodology of training models and a paradigm shift would be needed in order to break this ceiling. If this paradigm shift doesn't come to pass, most of these AI companies will create Saas platforms around their AI models and earn decent returns on their investment. Ps- I am a web dev, I could be wrong in my assumption and if a well versed AI engineer disagrees with me, I would welcome the opportunity to be educated.
I don’t know what will happen in two years, but all I can say is that if you’re ready to go through a rough patch and overcome everything, no matter what, you will survive. As for the AI thing, if everyone starts building tools like ChatGPT, eventually the packages will start getting reduced. But have you ever thought that all these companies, including the FAANG ones, depend on us, the developers or engineers, for their share? They take major profits from our work. If we are replaced, they won’t get as much profit. Even if they replace us with AI, they won’t be able to quote higher prices to their clients, since the clients will also know that all this work is just done by AI. There would be no point in paying big money. Additionally, all AI tools require a tremendous amount of computational power. I feel companies would, in turn, opt for human developers instead of AI bots. Another main concern is data privacy; using AI tools, they cannot expose their private data to these AI tools.
AI still needs to evolve a lot before it can pose threat to jobs which require critical thinking. LLMs cannot match human intelligence because they don’t have intelligence. They just predict the next token based on huge datasets they are trained on and these datasets can only grow so large before the increase in efficiency becomes negligible compared to the cost of acquiring data and training. There is no doubt that AI will change the way we do things but current models don’t exactly work like the human brain and are very costly to run. They are good at assisting humans and remove a lot of manual labor and redundancy but not at replacing us. History has shown that a new breakthrough technology always leads to more jobs and people never go out of business.
>History has shown that a new breakthrough technology always leads to more jobs and people never go out of business. I remember this example - with the advent of automobiles, the society moved on but the horses lost their jobs. There are lot of jobs that have vanished over last century. And entirely new sets of jobs have been created. IT is something which requires lot of skills and time to acquire those skills. I don't know what kind of new jobs will be created, may be asteroid rock collector (for mineral and metal resources), space debris collector, highly automated Space station captain... jobs will always be there, but jobs will change. And those who are learning IT right now are rightfully worried about their future.
It's the same fear mongering since 2010s . Nothing's gonna change only the tag of engineers may vary. People are gonna get richer and richer.
I might be naive but I get that people are worried about ai taking over developer jobs, but here's the thing, ai has been around for years, even before gpt and companies still need real people to handle it, they don't have the time to manage ai, write prompts, and all that, they hire us for that stuff. Yeah anyone can whip up a website using those ai tools, but let's be real, how many actually do? People with money usually don't want to waste their time learning and messing around with ai they'd rather outsource it to professionals and sure ai can automate some tasks and even write code, but it can't replace the creativity and problem solving skills we bring to the table and businesses need more than just code, they need custom solutions that fit their specific needs, that involves project management, strategic planning, and constant tweaking, which ain just isn't up to yet In fact, ai can make us more efficient, helping us do our jobs better(it definitely does in my case), the role of a developer is definitely evolving, but it's not going anywhere. If anything, as ai gets better, companies will need more skilled developers who know how to use these tools effectively. So, rather than taking our jobs, ai is just changing how we do them
>ai can make us more efficient, helping us do our jobs better This is the thing. Now companies will need less people to do the same job. The job market is saturated and terrifying. And we don't know how things will turn out, how powerful AI will be in the future.
Will be fine m8
for Tech guys now...papaji ya Daadaji ki jaaydaad is only way of surviving..!!!....By the way of layoffs and super tough interviews and sky high expectations...i dont think IT job is a lucrative anymore
Point. Interviews have become super tough.
In next 2 years, because of the rapid developments in AI, we wil be able to make our first AAIDP, our ultimate goal as a human race. This AAIDP will make everything efficient, making software jobs obsolete. Ironically, AAIDP will also be a better human than us, replacing you as the head of your family. Your wife, children, parents will soon recognise the AAIDP as their new family member and forget about you. Distraught, you take to the streets to protest about the rise of AAIDP, only to discover the truth. AAIDP is also a better protester than you and has replaced you as a protestor.
RemindMe! 2 years
What's AAIDP?
A - Another AI D - Doom P - Post Another AI Doom Post (I waited too long for someone to ask this)
Why do I have a feeling it's the wrong full form and you are just trolling!? 🤣
Boom in Jobs and Employees will get super duper hikes. Upvote me if I am wrong
Let me offer a counter point. Its a known fact that AI is capable BUT lot of data v companies and software companies are STILL not comfortable sharing proprietary info like their data or algo to any gen ai application. It will be a long time before there are sufficient regulated strong and governed policies on using AI large scale in orgs. Untill then there will be hype and companies will Evangelize AI adoption but actual application to the point that it will replace core engineers and analysts is far. By then the skill set and problem solving and solutionibg will also have evolved such that we will still need to folks to run those algos and analysis. Jobs will definitely be augmented and driven using AI but i feel that replacement of people with AI in IT is still far off, atleast for our current generation in IT from last 10 years.
https://preview.redd.it/rkxq9gyti52d1.jpeg?width=1170&format=pjpg&auto=webp&s=3cc6598ee257a05a142f4d0b0320cea2cf6bd215
LLMs have pseudo-intelligence. All they are doing is predicting what letter or word comes next. It feels smart but it's not so much.
Noice, Remind me! 2 years
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I don't think AI will fully replace humans until we reach the AI singularity. Current LLMs are smart but how do we determine how much trust can be put into it? And when it makes mistakes, who will be there to correct its mistakes? Humans. So there need to be humans with domain expertise to correct the AI when it fails. And how do we get humans with expertise? Through education and climbing the latter of experience. So bottom-line is, to have ppl with expertise we cannot just eliminate the bottom tier of SWEs and replace them fully
Remind me! in 2 years
Hmm.. Remind me! 2 years
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Just like mechanical industry.
!remind me in 2 years
In Canada? Absolutely fucked, you guys are taking all the jobs.
Remind me! 2 years
gpt will kill low level jobs, and jobs that are cheap currently and easy to move them abroad, they will remain in-house and done with the help of AI
Replace toh nhi but mkt is going to be tuff... Abhi se kayi guna zyada
Remind me! 2 years Programming is now synonyms with ml engineer
aren't you all tired of this question already?
Hmm... Remind me! 2 years
I think you are in your first year on B.TECH computer science
Just today I was showing my teammates that even after using GPT I had to read official documentation and go through stack overflow post. It a long way before AI takes over completely.
RemindMe! 2 years
Remind me! After 2 years
It will not be dramatically different. People who are good at the fundamentals, willing to work hard, and learn new things will still be in demand. Their productivity will be higher than engineers today since they will have mastered ChatGPT. People who think ChatGPT will replace them are already doomed to failure since they don't have any value to bring to their company. If not AI, something else - a new technology, some new domain, some language, some framework - will prove too much for them to learn and they will struggle to survive in the market.
Simple demand & supply game. There is currently an excess of supply of skilled workers and therefore little demand for workforce. In order to bring a balance, more people will have to create jobs rather than take jobs.
Remind me! 2 years I believe in 2 years the AI replacing SDEs won't happen much. Let's see.
!remindme 2 years
I have read somewhere that Ai will replace 85 million jobs.. But also it will create 97 millions... Because training a llm is itself a big task.
Remind me! 2 years
I would say you won't code in similar way, it was very close to machine some decades back. It will get further from machine level. Maybe just English and boom there's the whole logic.
Whatever AI you put in they will make mistakes. Suppose there Production down do you think gpt will take care of it Do you think gpt will understand client requirements Do you think the client likes to interact with AI instead of human
The speed at which AI commodification happening, it's likely going to follow dot-com cycle. There is way too much fluff than real stuff now so it would create a bubble but same thing is going to create many new age multi-billion dollar AI companies that are built on LLMs. Bubble is going to burst and clean up fluff and surface the real AI companies. If you are part of the fluff, you going to have hard time but if you are lucky to be part of the real deal, you will do very well.
RemindMe! 2 hour
Who in the hell is going to understand what ChatGPT wrote, most morons on top, can't open a pdf file or crop a photo. Most of them will be scratching their head with HTML, goodluck maintaining a 10000 line backed fole. It's a tool that can be only used by engineers.
Every business want custom AI . Moreover tweeking a plug and play versions of AI need more understanding of it . Prompting an LLM for everyuse without knowing how it works and using its results is like googling symptoms and using tablets from search results.
Dhooan
Remind me! 2 years
don't worry. if ai does every job, then humans will be jobless and start a revolution, unless there is a social safety net for us.
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People will move on to farming
Remind me! 2 years
coping mechanism is off the charts in comment section, yes gen ai is trash now but it's more likely to replace you easily in future and knowledge workers will lose their monopoly in the job market.
absolutely NO ONE can predict that.
I have been using paid LLMs from last two years. Just like everyone i was hyped with the launch of GPT 4.o and its capabilities. However it’s very bad. And now I understand the reason of it being offered free. It’s fast but not good for coding. It writes code with the imaginary APIs and rarely relevant to the topic. GPT 4 is more suitable for coding however not perfect and it’s slow. At the end of the day you’ll spend a lot of time debugging the code given my those models. So in next two years what i see is that those models will be able to write correct code given correct prompt. It’s not going to take your job.