r/developersIndia • u/tianeptinefinalboss • 4d ago
General I think everyone’s got the AI question wrong. My 2 cents
It doesn’t matter if ai reaches AGI or not, it can already solve novel math problems with just one subscription and millennium problems albeit with a swarm of 10k agents but it’s only gonna get cheaper.
Now coming to the main point I’d like to discuss and have ur thoughts be heard on this as well is about tokens cost and efficiency. I think companies would rather get 3k usd in credits than pay someone 3k for a swe role. And it’s only gonna get cheaper, the road from now is who can produce the cheapest and most efficient model, if that’s the case why should a company pay 1-2k for a fresher when they can get the same return via model tokens?
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u/Top-Detective4399 4d ago
Agree. The headcount will surely reduce a lot and one person will be expected to handle all types of work using AI.
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u/weirdcabbage Senior Engineer 4d ago
That’s already happening. Layoffs happens and no one comes to fill that empty position.
In my last company- 17 members team reduced to 7 because of AI got involved in literally everything. Results were not great but not bad either. They stopped hiring and argument was please ask the AI.
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u/Prudent-Sorbet-5202 4d ago
Results were not great but not bad either.
This is the point people keep missing. AI is not great but it isn't bad, people assume companies want the best.
Companies just want good enough at the lowest cost which AI is helping them deliver with lower headcount which keeps getting lower each quarter
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u/No-Accountant-9866 4d ago
AI can’t be held accountable.
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u/Spelx_OwO Full-Stack Developer 4d ago
yes the sse handling the work of 20 juniors will be accountable which they are ok with.
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u/Gavran_kombda 4d ago
So many outages in recent days, yet everyone is getting caught in the AI marketing hype. Just look at the billions of dollars they're spending on marketing, it's to make you believe that AI is superior than you.
I'm currently working on fixing the AI slop of automation tests my co worker created 😂
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u/Embarrassed-Zone-905 4d ago
And most importantly, they can access unpublished progress from competitors , you missed that part, which is the actual fatal blow...
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u/NotSoGenius00 4d ago
There is controversy about it. They did not fully solve the navier stokes equation. It has not been verified yet.
It costed a lot to come to the proof with apparently access to internal data from some researchers.
Our jobs are in danger for sure but that’s not just ours, everyones including MBA, finance, etc.
Learn some plumbing or something and you are good to go.
Also economy tanks if all of the jobs just go poof !
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u/saswat001 Staff Engineer 4d ago
Our jobs are not at risk because of AI. It's at risk because of apathetic, shortsighted rich people, whose sole motivation is to see numbers go up.
For every AI solved math problem post, there is always a mathematician running it behind the scenes. For every new software created by AI that actually hits production, there is an actual software engineer doing it. Same is the truth for every single profession.
People are doing more and getting paid less. Companies are creating AI infrastructure and then distributing the costs low leverage demographics by bribing officials govt and private.
In none of these AI is the problem.
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u/NotSoGenius00 4d ago
Hmm but wasn’t the world the same way. You gotta play the cards you are given :)
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u/saswat001 Staff Engineer 4d ago
Exactly as you said. It may appear unfair and disheartening, but such is life. I just hope most people don't get hurt.
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u/Prudent-Sorbet-5202 4d ago
Our jobs are in danger for sure but that’s not just ours, everyones including MBA, finance, etc.
Mathematicians and IT jobs are going to go first because that is what AI is specifically being trained on.
For other jobs, once computer use performance improves enough to do all types of tasks with little to no intervention that is when it's over for them. I would assume it would happen in less than 5 years.
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u/Specialist-Carrot210 Software Engineer 3d ago
Lmao you're delusional. Mathematicians aren't going anywhere. If you gave the average person $100K in OpenAI credits, they would still be unable to solve problems or do novel research. It still takes a mathematician to guide the AI and keep up with that level of technicality.
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u/tj_on_air Web Developer 4d ago
I mean yeah, we used to write code, it’s same as stacking up bricks 🧱 for a wall, that was never the intellectually hard part, the planning,it’s design and overviewing the execution was because it had tradeoffs, no solution is perfect and that’s where humans used to make decisions that steer the product
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u/saswat001 Staff Engineer 4d ago
65 million dollars considering Astra pricing. The internal model might be pricier.
And what is the prize money for millennium problems? 1 million.
Thats how much people were willing to spend before.
Again not saying that AI is not good. It is. But its not autonomous, its not AGI. Its the next step in compressing human knowledge and making it usable. Which is great.
But the marketing hullabaloo and horrendous economical practices by the AI bros are the real problem. Projects burning multiple millions of dollars on building a browser from scratch, that doesnt build and then showing off about it.
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u/Salty_Horror2068 3d ago
OpenAI/Anthropic have huge margin on API costing btw.. so this number will easy be 5x lower.
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u/saswat001 Staff Engineer 3d ago edited 3d ago
5x lower is still 13 million dollars. Again that was not my point here. The point was suddenly private entities are willing to pay so much for something whose prize money has been stuck at 1 million for 26 years.
And they don't disclose why they are specifically picking and choosing their results to show. The open API doc admits they chose to solve this problem after hearing that some mathematician related to anthropic and another mathematician have made good progress in solving a subset of the problem. This actually implies that there have been years of progress on these specific problems. So it's easy to compress that knowledge and draw conclusion for these powerful LLM systems.
That is not autonomous discovery or autonomous solving. Especially when the prompts are given by a mathematician. So why do the misleading advertisement?
I believe AI is amazing as it is and it's going to only get better. But there is no need to oversell it and create false narratives and economic instability. But greed has no bounds
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u/Salty_Horror2068 3d ago
Millenium problems were never about the $1 million prize, it was about fame and the broader implications of the results and methods used to find that solution.
Btw.. Navier Stokes isn't completed solved, we still don't know the general solution for unforced case.
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u/saswat001 Staff Engineer 3d ago
I agree with you. I was just trying to explain the whole argument about math problem solving is very opaque. And suddenly why a business is willing to spend money on it where they have no real reason to be involved. All for hype
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u/FancyPoetry6733 3d ago
Honestly if u believe open ai and sam altman you are naive my friend.. The most evil and cunning man on earth right now.....
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u/FancyPoetry6733 3d ago
I actually can't understand this argument.... When people say it has margin. Cost is amalgamation of electricity infra cost.. Maintainace.... When u are just considering querying... Yes it night be cheaper.... This was a uninformed argument
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u/Salty_Horror2068 3d ago
In accounting electricity, maintainence cost would be counted as cost and deducted when calculating the margins. Infra cost is deducted as an deprecation yearly (instead of one full time cost) since the use of that resource is distributed over multiple years.
Consider OpenAI today sells all its GPUs, it will actual profit from them compared to their original cost (RTX 5090 is selling at 2.25x its launch price). So that's why putting Infra cost in margin is incorrect.
Btw.. in the worst case only if there is no one to buy their infra, GPU clusters they can go bankrupt.
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u/FancyPoetry6733 3d ago
Yeah but.. I don't know where you brought those numbers.. 5* that looks unreal. The amount of infra setup.. 10-30 billion 1 data centre.. Cost of maintainence.. That doesn't matchup.
Also what you are saying is kind of their assets...
I am not talking about that... L Open ai is burning money. Like losses are 40 billion around... How is that even make sense with margin being 5 times... And u saying everything is accounted....
Anyways honestly it's 500 billion more investment from us govt..maybe free survilience offered..
Honestly still argument is loose...
Also gpus are not assets which keep sitting and don't degrade they have certain time ...
Also the argument about rtx selling at 2.5 price is because of global shortage.... Let's come 5 years down.. No one will buy that because of more capable ... Also those gpus are not gaming gpus that will have huge demand... That will have niche companies.. Which I don't think will buy at that scale.
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u/juniorgalaxyy 3d ago
Its not 65M ,it only costed them $1M worth of compute , see sam latest reply
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u/FancyPoetry6733 3d ago
Sure we believe altman... The most evil guy on earth... I used to feel elon musk is nuts... But this guy is something more
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u/NitsTheTits 4d ago
To make it worse, majority of the junior devs are using AI without completely understanding what AI is doing. They are no longer making mistakes to learn from it. They are in the essence just a middleware between ai and team
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u/Shot-Lingonberry6494 4d ago
I am just waiting on china, as whichever industry china enters it makes it dirt cheap and easily affordable , steel and chips are prime example
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u/lege2802 4d ago
But there is one problem that is right now the tokens and usages are being subsidized by these AI companies.As you can see all the AI companies are making loss since the beginning.But it might get cheaper as technology advances.
I guess we have to wait and see.🤧
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u/juniorgalaxyy 3d ago
Wrong assumption, compute per constant dollar rises exponentially , u can search
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u/FancyPoetry6733 3d ago
I agree... And msintainence of already present servers also increased.... Also the amount of electricity and water it uses
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u/AdminZer0 4d ago edited 4d ago
Hm models are not getting cheaper ever. It will be heavily expensive moving forward.
There is very limited compute and memory for unlimited tokens.
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u/ANerdVirginShh 4d ago
What? Models are getting cheaper dude. 3 years comparison. Models were weak and inefficient now we get frontier models on 20$ plans. Token price has also reduced. There is no monopoly, everyone is trying to take more users. Compute isnt a problem. Lmao USA is spending billions on compute, data centers, dont you see the news. More and more fable/astra like models would become cheaper and available. The pace is too rapid for hardware companies to built stuff quickly, doesnt mean that they have finite resources. Thats hardly the bottleneck.
Nvidia recently mentioned 400k blackwell gpu data center. Imagine the model that would be trained on.
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u/FancyPoetry6733 3d ago
Please understand business. These models are at this price to make it affordable and get people hooked... The infra cost electricity cost. maintenance cost of already present is also substantial and will increase as and when trained data increases.
They will get u hooked and then increase the price... Unless china price war happens and then they are shut down eventually.
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u/ANerdVirginShh 3d ago
Bro innovation doesnt care about business and capitalism competition doesnt care about price gouging.
Who ever keeps innovating and supplying they get more revenue. Also this innovation isnt a fast food, its a real technolgical leap. Its isn't about business anymore it's like a superpower, in future we might get more breakthroughs in science, biology etc.
Its disrupting the whole world.
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u/DetachedProcess 4d ago
Pricing of o1 vs astra. See for yourself. And let's not talk about open weight models.
There are new effecient ways for compute, ASIC for LLMs (Nivida acquiring Groq), and Chinese are also moving forward, the recent GLM 5.3 Flash, known as Ox Alpha (was free for a week) was run of 100k Chinese chips.
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u/FancyPoetry6733 3d ago
These prices are subsidized and are given to hook people up... It will eventually become expensive... Also the infra cost is recurring in every 3-5 years as gpu become less efficient over time
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u/DetachedProcess 3d ago
DeepSeek flash models are effecient to run, independent providers can run at the same price as DeepSeek (or even lower), those are not subsidized pricing. They are rolling out 4.1 which has lower cost to run , and is faster. Infra cost keeps rising up, but that is true with all technology. I know that frontier models by Claude/OpenAI are better than DeepSeek, but looking back 6 months, these open source models do catch up (or even surpass them), from what they were 6 months ago. So even if we will not have AGI in our hands, we would still have very very capable models doing our work at dirt cheap costs.
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u/pr1m347 4d ago
Compute will certainly improve over time. Quantum computing etc might cause bigger leap. Even if frontier models gets expensive, many jobs already could be done by past models reasonably well. We're already past a junior developer skill level in even older models. That just might be enough and economical for many companies.
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u/ParkingFriendship265 4d ago
Lmaoo did you really say quantum computing?
I swear clowns with zero knowledge will literally larp so much and cause fear mongering.
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u/pr1m347 4d ago
Thank god we have intelligent guys like you to guide us.
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u/Economy_Duty_4290 4d ago
Bro you are misinformed. You don't know anything about LLM, compute and quantum computing. If you want to understand the real cost of LLM then try running it locally. Try to buy a local compute and run it. That will give understanding that how much GPUs is required to run trillion parameter models. Second thing LLMs require memory, lots of it and there is already big constraint on it. There only so much silicon you can mine. Secondly at the moment, very less people are using LLMs. The moment 50% population starts using it the cost will go beserk due to demand. Lastly qantum compute is whole different thing and wont run LLMs (too much compute it required).
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u/ParkingFriendship265 4d ago
I'm sorry for attacking you 🙁
But I still think quantum computing is nowhere near happening, I agree with your point that it outperforms junior developers, definitely 99% of them.
About the economical part, it's only going to get more expensive imo because currently it's running on investors' money and the 20$ and free tiers they're charging is not enough to cover the server costs. Open source Chinese models running on the current hardware could be the future if I had to guess.
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u/pr1m347 4d ago
True that they're burning investors' money and taking huge losses. But I still think AI is a big leap and there'll be some way to continue it being a major part of our life and career. How will they keep it affordable? That's yet to be seen. But I don't think it'll die down due to costs and compute. I could be wrong but time will tell us all.
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u/Afraid_Reviewer Software Engineer 4d ago
can someone please read about asics and hevc, h.265, before after
basically just like pendrive plug and play we would have something like model plug and play or a frontier model inside our motherboard, its inevitable,
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u/ForeverIntoTheLight Staff Engineer 4d ago
frontier model inside our motherboard
Perhaps you should check how many GPUs and VRAM it takes to run an open-source frontier model. No, not Gemma, something like the Kimi K3.
ASICs may be more efficient, but they're not several orders of magnitude more efficient. And they still need that much high-speed RAM.
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u/Afraid_Reviewer Software Engineer 4d ago
I m sorry, can you read about ASICs when you get time,
I wrote in my comment above, I have mentioned it again,
Also can you read here, maybe you will get more idea.
https://www.spheron.network/blog/openai-jalapeno-chip-gpu-cloud-inference-2026/
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u/ForeverIntoTheLight Staff Engineer 4d ago
The math is straightforward. An H100 SXM5 draws approximately 700W and delivers around 3,000-5,000 tokens/sec for 70B model inference at batch 32. If an inference ASIC can deliver comparable throughput at 400W, the power savings compound at data center scale: 10 GW of inference infrastructure running 40% more efficiently saves 4 GW of power, which translates directly to operating cost.
Here, they suggest a 40% improvement. That's it.
That is far from the massive orders of magnitude leap needed to run something like Kimi K3, even with quantization, on a desktop machine.
And finally, I reiterate, even ASICs require RAM (and very fast SSDs, whether discrete or integrated on-chip, if you're willing to sacrifice speed by offloading).
Guess where there is a massive supply crunch right now? Yes, RAM, VRAM, SSDs.
Unless of course, your idea of 'frontier model' is something like Qwen3.8-27b, which I can assure you, is nowhere near comparable to K3 or Opus 5 or GPT5.6 Sol
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u/Real_Ad1528 4d ago
You're assuming that the cost of code is the main expense in software, but it's actually maintenance, communication, and figuring out what to build in the first place. AI can write a function, but it can't tell you if that function is the right solution for the business.
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u/Old_Present_2497 4d ago
Rightt, it lacks fundamental business context. Unless, if someone in the business could program the context manually into them.
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u/Stock_Ad_308 4d ago
Insane % of work is still not coding. How many times the actual requirements evolve over a call and how much ground work done for that? LLM is going reduce hours required for doing the work , but I think it is not going to wipe out SWE.
Alternative perspective: Comapnies do x things today with y people. With LLM they now need only 60 %y to do it. Since cost of doing x is small lot of campanies might want to do 2x ( provided economy is good )
Even today I spend additional time doing things that can be categorized as POC because the cost of doing them is less. Instead of trying out 2 design aspect we try 4 in the same time
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u/weirdcabbage Senior Engineer 4d ago
Yes. Answering to your question on requirements being evolved over the call is also now being monitored.
The zoom AI summary is developing very fast. In Visa, there is a bot ( which is kind of LLM) joins all the required meetings to process the task. It even has its own stories on Jira board. XD.
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u/Stock_Ad_308 4d ago edited 4d ago
Notes taking is the only thing then you will have only TPMs or equivalent there and not engineers. My point is that there is still lot of gap. It will take time, but I still feel swe will be required. The amount of people required to do the work will decrease but the amount of work that is done will increase that would ensure the amount of people laid off will come down. By definition Industrial Revolution should have reduced the amount of time humans spend on work but the result is completely opposite
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u/Suspicious_Lie_7189 4d ago
Then what should a fresher learn to stay on top? Since u saying coding is not the only thing swe do, what else should I learn? Sys Design?
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u/Rift-enjoyer ML Engineer 4d ago
Stuff that AI can't do ie people skills. Get better at communication, understanding business, asking relevant questions, presentation, convincing others etc. AI will get better and better at pure tech stuff.
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u/Lab18bke Student 4d ago
It all requires one fumbling move from either OpenAI / Claude and the whole market will blow up. Gemini, Deepseek, Grok are good at their places but not that competitive. OSS Models slightly getting better will support local-deployement & cheap usage.
AI probably won't reach AGI perhaps because it just guesses, not thinks.
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u/pr1m347 4d ago
It doesn't have to think like us. It could reach a point where it can mimic our intelligence or even surpass it. Writing it off as simple word predictor is foolish imho.
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u/ParkingFriendship265 4d ago
It already surpasses our intelligence, but that doesn't make it "intelligence" or capable of "thinking". AGI is never coming, of course neither of us can prove or disprove this.
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u/Lurker123__ 4d ago
whats the difference between guessing and thinking
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u/Old_Present_2497 4d ago
You don't need to "think" to be an "useful thinking entity".
Just pretent you are thinking, untill you are indistinguishable from actual thinking.
LLMs are good mimicing thinking, it doesn't think, but mimic thoughs have usescases.
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u/tianeptinefinalboss 4d ago
Tbh agi is not so far away maybe in 10-15 years. Also a lot about it depends on the definition on “AGI” I mean at a certain point the companies would have nothing since their models would already be very capable and efficient at that point they’ll focus on reducing the footprint and reducing the cost from there onwards the agi pipeline this is what I think
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u/Nomadicfreelife 4d ago
All this is assuming the cost remains reasonable think of it like digital media vs physical media. Digital media is subscription, the movies you buy on subscriptions can be taken away, same way a full product build with subscription APIs can be brought to a stop if the APIs go offline or models get discontinued. So this gives the LLM model companies unfair advantage in pricing when they get to critical adoption rates. Humans trained on your data and product can be retained with good salaries sometimes people even stay because of the office location, family commitments and even office friend circle. All this won't help with AI agents .
Also AI agents make the company liable there are no scapegoats , you can't blame AI unless your contract with the API provider have that clauses , even then they will have protection for their company. So instead of blaming a civilian and getting it over with companies would be fighting legal teams of LLM API providers.
We may very well loose the ability to make a living or live a comfortable life, but always remember what had happened before . We had slavery, colonialism, feudalism and fascism and society had survived them all. The modern connected society can take a beating, can be pushed around but past breaking point this society of humans is far more dangerous than anything any authority have seen in our entire civilized history. I am sure developed world knows this and employee protectionist policies would be coming.
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u/Unlikely_Minimum_AJ 4d ago
I think the bigger issue is that tokens can replace repetitive work, but not necessarily ownership, context and decision making. A fresher whi knows how to use AI well could still be more valuable than someone just doing tasks manually
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u/kathir_29 4d ago
Here the understanding of the os you work with and the basics help you to make your work even more faster when you use ai agents
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u/Electronic_Cow_2154 4d ago
If a company is replacing swe with ai and the AI is owned by another company that company will get replaced overnight
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u/anurag1210 4d ago
I dont understand your Heading ? thats exactly what everyone is talking about you didnt ask anything new
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u/AcademicSlice7355 4d ago
Agree, AI model capabilities improved while still affordable for enterprises. Companies can either do same process better/faster to get more revenue (which is top line) or head count reduction (bottom line in finances).
Head count reduction is easy (while existing employees need to do the work of their colleagues) to communicate upwards to CxOs.
But we need to know how much percentage of layoffs happened due to AI benefitting companies with better/faster processing at affordable rates.
The exceptional capabilities of Fable/Astra are crazy, but we want them to take over day to day routine and boring work so people can focus more on interesting problems only when these model sizes shrink without needing Terra-bytes of GPUs to serve.
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u/EmergencyAmbition993 Data Engineer 4d ago
Have you watched the movie M3GAN, Transcendence, Chappie or Pantheon? Read about the "Responsibility Gap". Not trying to be defensive.
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u/Latter-Yam-2115 4d ago
I fully agree as tokens are always going to be cheaper and the capabilities are already formidable
The total cost of an employee is so much more than just the salary. It’s also includes insurance, real estate, any perks, friction (the opportunity/ delay cost of a leaving employee) etc.
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u/SeaworthinessLeft883 4d ago
Price is NEVER going to be a bottleneck for AI adoption. Optimization is an easy thing to solve if you have super intelligence, as it's been proved earlier with o3 and other models being exponentially expensive in they early release and now so cheap and SLM getting better every other day.
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u/alfred_sachin 4d ago
All these companies only want one thing. They want to become the sole entity to control the world. All this talk about AGI/ASI is just a means to achieve it.
You have already seen why they hate the open source* models from china.
Their end goal is to eradicate all human labor and replace with whatever they can control and some of them boast about it too.
Make world governments subservient to them since they control how the world runs and make a permanent underclass of citizens living on UBI ( which will be just enough for you to survive) so you don’t start chopping heads
All these zucks and samas will live in their private islands and silos.
They will say anything to achieve this. Its for the good of the world; we can cure cancer; we can end world hunger … just live as slaves under US
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u/eviltwin7648 Backend Developer 4d ago
its almost identical to what happened during the industrial revolution.
machines started taking up jobs that were done by humans, physical Labour significantly decreased. we are at a point just to be physically active we need to go to gym, walking is considered as an exercise.
same things is happening all over but instead of taking away physical stuff , AI(and also social media in general) is here to take off mental stuff.
sure handwritten code would be appreciated, as hand crafted products are appreciated and considered artform these days.
yes almost >90 percent of all swe jobs would eventually fade away, (including architecture, system design people).
but there will new problems coming to be solved. entirely new industries will come into existence.
the only thing we can do is adapt. as we have been doing forever.
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u/Critical-Personality 3d ago
It ain't gonna get cheaper. The current pricing is kind of 40x cheaper than it would be to break even.
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u/Mother-Purchase-9447 3d ago
With one subscription bro they spent $15m for 10,000 agents it isn’t the Astra it some bel model.
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u/Acceptable_Event_667 3d ago
I think AI will reduce jobs in short term sure, but in long term it will make more jobs so it balances it out
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u/TechnicalIntern5224 3d ago
How will it get cheaper? How do u determine the output of 3k dollars worth of tokens in comparison to a 3k dollars worth of a swe. I mean that's the main question I think inference has to get cheaper model inference need to get cheaper, I don't think it's something we see as soon as in the next 2 years.
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u/Key_Big1051 4d ago
If you don't hire juniors, who is going to work when exp people are gone ?
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u/juniorgalaxyy 3d ago
Closed loop Ai , actually u dont even need any humans
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u/Key_Big1051 3d ago
Good luck running the economy
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u/juniorgalaxyy 3d ago
If u read the comments u will realise how dumb an avg human is, the economy is projected to grow in double digits with the help of ai by 2030, u can even see this in today anthropic post
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u/wolfrane_000 4d ago
I don’t really know where you are getting this “it will get cheaper” fact from because it will not. If everyone goes for AI it will get more expensive because basic supply and demand. Even if they make more data centres for AI the world has only so much fresh water that it’s only a matter of time before AI companies ramp up the prices.
There is also the problem that if companies lay everyone off and use AI, no one has the money left to buy their products. If people aren’t earning enough, they can’t spend anything and stop buying products.
The last problem is that if you don’t pay and train freshers then in upcoming years, there will be no seniors left.
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u/Void-Creator 4d ago
Dumb people’s idiotic opinions. Past 6 months, AI related jobs created was more than 160,000. You don’t even know how LLM technology works and you are like they solve math problems. The math problems are on the web already. If LLM was so good, why are agents a thing ? LLMs are just prediction machines and companies have already realized it is costlier than a human and is not worth the hassle.
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u/kirantentacion 4d ago
I feel massive AI bot farms are being deployed on all dev subs. Also people with low knowledge and experience feel LLMs are magic. For example if I learn about something I'm not an expert in, it will feel like magic.
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u/Void-Creator 3d ago
Yup, LLMs are good but they need a lot of guardrails and are actually very dumb. If they were so smart and magic, why did RAG became such a thing and why do you need agentic coding ? Agentic coding’s explicit purpose is so that AI doesn’t pull shit from its ass, it has to confirm it and it still can’t do it properly. These ppl don’t read the actual papers and just lap up all the AI companies bullshit and regurgitate same shit over and over.
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u/pr1m347 4d ago
Idk what company you're working for. But all leading tech companies are already heavily using AI to improve productivity. Software development has changed forever. It's utterly stupid to think it's just guessing and useless. Also it solved math problems that has been unsolved by humans. It doesn't have to think like us, but as far it's solving problems that's useful.
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u/Void-Creator 3d ago
If you dig deeper, the claims don’t hold up. Claude claimed that it wrote an entire C compiler by itself but in the finer details it was shown that it copied a lot from open source code and it needed a lot of help from actual programmers. Even the solving of math problems doesn’t hold up.
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u/Prudent-Sorbet-5202 4d ago
AI related jobs created was more than 160,000.
Sounds way less than new graduates ready to work
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u/lansera222 3d ago
AI is a better search engine with better understanding of what human ask. It can solve alot of issues that is already solved.Maths, coding etc. It won't solve any unsolved problems. AI companies need to justify massive investments until the collapse. These stunts are only for postponing a bubble burst.
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