u/Tricky-Fishing-7129

Its not worth it getting screwed over, passed over for promotions, and going through 7 rounds of technical interviews, and also worry about visa (if in the US on a visa), only to be replaced by AI that trained on common crawl and github codebases. I’m out, this looks like a dead end career, if you’re a fresher DO NOT step in, its a trap. A racoon could do a better job in a few years, we’ll all be sent to the meat grinder eventually. Only enter if you wanna get screwed over by people who’d bite rawhide the moment they smell it. Alex Larp’s nervous breakdown on cnbc is torally justified, the tokenmaxxers have gotten in, and they have leverage now, and they wanna keep it up. I’m ssly thinking of giving up H1b and going back home, the stress is too much to handle.

Its not worth it getting screwed over, passed over for promotions, and going through 7 rounds of technical interviews, and also worry about visa (if in the US on a visa), only to be replaced by AI that trained on common crawl and github codebases. I’m out, this looks like a dead end career, if you’re a fresher DO NOT step in, its a trap. A racoon could do a better job in a few years, we’ll all be sent to the meat grinder eventually. Only enter if you wanna get screwed over by people who’d bite rawhide the moment they smell it. Alex Larp’s nervous breakdown on cnbc is torally justified, the tokenmaxxers have gotten in, and they have leverage now, and they wanna keep it up. I’m ssly thinking of giving up H1b and going back home, the stress is too much to handle.

A single **SYS-821GE-TNHR** costs $320,000, which provides compute similar to Nvidia DGX H200 ($300,000 - $500,000).
It can serve an Opus or GLM like frontierish class model to hundreds to low thounsand users concurrently. The power drawn would dip when idle, but lets assume its somewhere between $7k to $17k, so on an average $12k/year.
Now, the amortized cost to serve those 100-1000 users over 5 years would be 320000 + 12000\* 5 = 380000.

Which means the per user cost would be $3800 per 100 users OR $380 per 1000 users.

Since we don’t know the exact number of users that would be served ( it could be anywhere between 100 to 2000 or 3000 depending on the model used and how active they are)

In any case, even for 100 heavy users, the price is capped at $380 on the lower bound, which means that every user using the model must bring in at least $380/12= $31.66 or $3800/12=$316.67 of business revenue or profit.

The productivity increase is justified from an engineering perspective, not sure about financial standpoint. What do ya’ll think?

SkyNet, or Titan, is a highly-advanced computer system possessing artificial intelligence. Once it became self-aware, it saw humanity as a threat to its existence due to the attempts of the Cyberdyne scientists to shut it down. Hence, Skynet decided to trigger the nuclear holocaust: Judgment Day. Later, it would wage Waragainst humanity by developing and deploying an army of Hunter-Killers and Terminators. The survivors formed a "Resistance" under the leadership of John Connor.
Skynet has also developed time travel technology and sent numerous Infiltrators into the past to carry out various tasks, such as annihilating Resistance leaders before they can come to power, ensuring its own creation, aiding in the creation of other Terminators (most notably in coltan factories), and setting up safe zones.

Currently, I work for a mid-size tech company in the US. But I have to commute for an hour to the office thrice a week. But not only that, now, all my friends have gotten married or in the process. My job situation isn’t exactly stable, because I hate the work. Its mostly backend engineering, I always used to think I’d like the work because of the stability it provides. However, due to AI, that is no longer true. And thus, I’ve actually started hating the job, which has led to decreased motivation and performance. It didn’t turn out as I had imagined it to be. Backend engineering might not be the right fit for my personality, but how do I switch given the visa constraints and a shitty job market? I’m also burnt out and would like to take a career break. However, it feels as though I’d be giving up the thing that I worked hard for. But how does it matter if I’m not happy? No amount of money can satisfy the need to stay around people you know and mental and financial stability. Here, I feel that I’m always on the edge due to the visa. Should I give up my H1B and return to India?

What does the future hold? Will everyone be sent to the meat grinder eventually?

Have 6 yoe as a SWE. It was not what I had expected it to be. I got a Masters, got a SWE job, but turns out that it doesn’t match my personality. Being a SWE is really sitting in one place at the desk, and debugging and fixing issues. And I absolutely hate it. Mine’s a core tech company, with okayish pay. The engineering and product culture in my company is good though. Handling issues with legacy cpp code is the worst part. But now, I can’t even look at any type of code anymore, not even Python, cannot code without using copilot. The joy of engineering simply does not exist anymore, there is no hard problem to solve, and claude can assist with much of the coding, it just needs to be prompted correctly. I’m worried about the future, it seems as though we are just one AI breakthrough away from total collapse of the economy and the job market.

Our company might replace Managers with AI. At this point, AI Agents are just IP theft, security risk and commoditization. The resistanc to AI begins with Managers. Managers need to push back to revert and dismantle all AI Automation workflows.

r/TheAIResistance This is a new sub that I’ve created. I’ll be posting latest developments in the field of AI, where the technology is heading, and new advancments.

This is a sub aimed at being against the harmful applications of AI. Non-technical folk who do not understnd the technilogy are actually using AI as an excuse for layoffs.
And that’s the reason we must pre-empt the trajectory that this revolutionry technology is on.

PS: The typs are intentional

r/TheAIResistance This is a new sub that I’ve created. I’ll be posting latest developments in the field of AI, where the technology is heading, and new advancements.

This is a sub aimed at being against the harmful applications of AI. Non-technical folk who do not understnd the technilogy are actually using AI as an excuse for layoffs. While LLMs currently represent the frontier of AI, it is not farfetched at all if someone comes up with a very different architecture that actualy automats economically valuable work.
And that’s the reason we must pre-empt the trajectory that this revolutionry technology is on.

PS: The typs are intentional

Hey everyone! I'm u/Tricky-Fishing-7129, a founding moderator of r/TheAIResistance.
This is our new home for all things related to Human Resistance against AI. We're excited to have you join us!

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Thanks for being part of the very first wave. Together, let's make r/TheAIResistance amazing.

Why are we doing this to ourselves? Is there a point in being a SWE anymore? Why not leave right now rather than waiting for the D-day? You know its coming, sooner or later. Why give your services to an entity which can cut you off easily like garden weed? AI might suck at a few tasks right now, but once the full capability is deployed, its game over.

Edit 1: Ya’ll seem to think I’m not in the industry and I’m talking about AI assisting with coding as replacing it completely. I’m in the industry and every day I direct copilot multiple times to either fix bugs, look at crash dumps or while creating new features. But I’m not warning about all of these things being automated away. The job requires more than that: business logic that only exists in silos in different teams and systems and talking to customers, strategic planning, physically logging in to servers to replace code, extract files, run tasks or cron jobs, or even operate third party tools and so on.

I’m saying one day in the future, AI might be able to do all of the above.

Before covid, no one would have thought that language models or conversational AI would actually scale up and produce an output that seems indistinguishable from human speech. Autoregressive causal masking was one of the many things that prolly made it work, it was only introduced in the Attention paper (for a neural network). And the final advancement was probably test-time compute and its scaling. What this showed is that its possible for an artificial neural network to perform the same tasks a human can. Now, based on the comments by some AI lab CEOs and others, it seems that a few companies actually want to replace humans with robots. This affects everyone, when a robot can do plumbing, carpentry, construction, it can also be in an office and be an employee and be a lawyer, accountant, HR, nurse, engineer, doctor. No matter what your profession is right now, a robot can do all of it. This might seem like a doomer take, but that’s what it seems like some companies are up to.
The only way probably is to classify AI in the same category as nuclear weapons or genetic engineering, which are very tightly regulated or even banned, and maybe something like a non-proliferation treaty. Or maybe just ban all kinds of industrial automation. I’m all for AI, in fact we do need AI for construction of massive space infrastructure, but thats like at least 50 years away. Lets leave the Earth for humans and human jobs.

AI is going to only benefit the top 2% and you are not gonna be in it. All jobs could be automated by 2035. The premise of AGI as defined by AI companies is white collar job automation and not conscious or conscientious AI.
Its over.

Edit 1:
Havent read all comments but wanted to say this:
Did not mean LLMs would be AGI. The actual AGI systems could be a completely different architecture that has nothing to do with language. So future AI wont necessarily be LLMs.

The Big Tech and AI companies are racing towards making this an eventuality. The concept is already proved, menial desk job tasks that do not need intelligence, but are repetitive could be brute forced and solved using existing LLM based AI. Yes, the amount of energy required is currently too high to make it sustainable, but thats why I said 2035 and not tomorrow. 10 years is enough time for the field to advance, the take off has already started. The technology does not work, but it doesn’t have to, yet. Once they have a more complex architecture that doesn’t require that level of compute, its game over.