Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Socialist Propaganda
This is exactly why private AI infrastructure matters. AI is useful. The problem is not AI. The problem is stacking metered tools until the “automation” costs more than the work it replaced. At some point, serious businesses will stop asking, “Which AI subscription should we add next?” They will start asking, “Which parts of this should we own?” That is the shift.
Let’s see what’s will be next...
Sure, choose humans because we are cheaper. No problem with that!
Bubble is yet to burst😅
Everyone focused on AI capability.Very few questioned AI unit economics.
AI is powerful, but scaling it without understanding the economics can become more expensive than the problem it was solving.
AI works best with human judgement alongside it. Automation without strategy can become very expensive very quickly.
AI is incredibly powerful, but the assumption that it automatically becomes cheaper than skilled human talent at scale is clearly being challenged now.
AI is a powerful tool, not a low-cost replacement. The companies winning will be the ones balancing human expertise with AI efficiency.
Back to pavilion...
AI works best when combined with: Human judgement + Domain expertise + Critical thinking
SAURABH SINGH Interesting perspective Crazy how fast companies adopted AI without fully thinking about the cost impact.Feels like we’re still figuring out where AI actually adds value vs where humans are still more efficient.
I'm intrigued by your insights here. What inspired you to explore this perspective?
But eventually it will also provide the output which will be ofcourse much more better than human efforts 👌, that too without supervision 😄
Al isn't the problem The people making headcount decisions based on hype and zero execution track record those are the gamblers
So the companies that wrote the loudest cheques are now discovering that infinite token burns actually cost money? Shocking. Unsupervised AI running without Semantic Caching is just an automated budget-drainer. Until we shift from this brute-force approach to Real Intelligence (RI) and localized edge data, these companies are just setting piles of cash on fire. Building greener intelligence for tomorrow requires actual architectural discipline, not just an unlimited Azure budget.
Monkey see🐒 🙈 monkey do 😂
AI isn’t expensive....misuse is...That’s the real headline behind this post SAURABH SINGH
It happens, and it had happened before too, the early stage computers were inefficient and slower as compared to Human calculators but does that mean We should have abandoned them. It’s just the first breakthrough, a lot more is yet to come. AI will make people’s life easier and prosperous in the near future.