Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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I said goodbye to SO back in 2014... 😅
That's how technology evolving.
The value is clearly moving from individual models to unified workflows.
But am afraid about
SO is still useful especially for small questions on why something has broken. Guess new common breaks won’t show up on SO.
Gotta love that ginger 🫣
It's a big problem... Nobody foreseen it... Ai are fed from this sites, if the source is over where is the knowledge sourced then?
Interesting Medicine Love this! Helps my upset stomach.
Logan Perkins Henderson Has ginger also. 😊
STACK
Automatic switching without using our brains is just...
The real competition isn't better AI anymore it's fewer tabs, fewer tools, and less friction. Simple wins. 🚀
AI is handicapping Mankind to think critical and learn or do things by own, It's weakening the human mind capabilities as it is allowing Today not to learn or do a thing which takes effort n time; crack anything you want to just with a prompt. It's a technology weapon- a modern way to let Powerful Developed countries make other countries slave and let them buy AI products n tools from them. Harsh n bitter truth of AI which sooner or later gonna impact everybody's life.
AI in research should feel like an AGI as removing the human from the loop might not be possible in a next few years yet but AI should have abilities to perform things in sandbox and make autonomous dicisions to get better observation
Because AI does not make condescending comments or downvotes people when you ask questions.
This is a total game-changer. Looking forward to watching the broader industry adoption
STACK
The decline in Stack Overflow usage does not necessarily mean the end of learning, but it does reveal a profound shift in how developers seek knowledge. AI accelerates answers, but the real differentiator will remain understanding the problem, validating solutions, and knowing how to ask the right questions. Tools change; critical thinking remains indispensable.
Definitely, there is value in shortening various research activities and making them more cost-effective......and yes, human judgment stays critical as well as « intentionally » managing different risks .
The real moat may no longer be the model itself. It may be the ability to reduce friction between intent and execution. The winners will likely be the platforms that make complexity disappear.