Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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A power tool in skilled hands builds faster, the same tool running unsupervised on every task just runs up the bill. The companies that treated AI as a blanket cost-cutting strategy are now learning that lesson at a very expensive scale.
No real replacement, correction of terrible pandemic headcount planning disguised as innovation, AI can’t replace engineering, it just makes us faster in certain tasks. It’s a new piece of infrastructure.
The cost is only going to get higher as well. As there is more of a can’t live without emphasis on AI the cost can keep rising. What we are seeing now is the budget phase to help it take off. If needs to be affordable to justify its adoption. It’s basically a gateway drug right now. Once hooked that’s when the costs will spiral. Someone needs to pay for the trillions being invested in all these new data centers. These are not a charity effort. The desire is hooking companies on the drug forever. This is why there is the push to suggest kids not go to college. If a new generation is not trained to compete with AI then companies have no choice but to pay the insane costs of AI in the future. AI is a great tool but those pushing it hard may not have the best intentions of keeping it affordable.
Alok Vermaa I actually think it will get more expensive and not less expensive. I see it more like a gateway drug. Make it cheap or even free initially to get people hooked. Then reality sets in and all those trillions invested want to see some ROI. Building data centers everywhere is not a charity act. The desire is to charge more and get more people using it. If more users don’t happen quickly the money has to come from somewhere.
Thomas Smet Great foresight! Building infrastructure at that massive scale is definitely not a charity act. At the end of the day, those trillions will demand an ROI, and the cost of our convenience will inevitably go up.
For now AI is replacing junior software engineers. In two years I'll replace senior software engineers.
It's not only expensive but also more harmful if not handled with proper security mechanism.
What happen now is that you get an expensive senior with an expensive AI tool and this single person replace 3 teams of 18 people. But the AI tool cost 100 million and you have no backup when the senior get sick. 😁
Well AI is replacing humans for the context in it requires best architectural practices around security and cost optimization (token consumption) that relates directly to how its been used alot of components added up when narrowing this down. Its not like you gave the access to your engineers and tell them to use now as one task can be done by multiple prompts with different token consumptions that fairly changes the cost number alot. This requires training and architectural guidance on how you design internal AI systems. One thing to consider is when cost comes into picture then ethics won’t play much of a role..
Not for mag 7. They own their own hardware, models and software.
AI doesn’t replace smart humans — it empowers them. The future belongs to those who combine human judgment with AI speed to build what neither could alone
And yet companies are still gonna try to replace humans lol. They help us to get things done fast, at least in their current form, not replace us
Shocking but true 🤯
Well, to get this out of the way: NVidia is full of shit. They've been funding purchases of their own products to inflate their stock price for years, now. That said, nobody is going back to work for a company that cut them loose the second they could save a penny on the position. These big companies burned bridges by the thousands because they thought they didn't need people anymore. Play with fire and get burned...
$2000 per engineer per month in tokens and the AI still ask for clarification on requirements. The human at least just guessed and moved on.
Interesting reality check. The conversation should move from “AI replacing humans” to “AI augmenting humans.” The biggest ROI isn't from removing engineers. It's from enabling good engineers to deliver more, faster, and with better quality. When AI is applied indiscriminately, token costs, governance, review cycles, and rework can quickly outweigh the perceived savings.
AI was never cheap labour, the realization just took a year to arrive — and a year of layoffs, budget burns, and cancelled licenses was apparently what it cost to find out.