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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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The only relevant question also here is, is it auditable, reproducable and hallucination free. If not then please, please come back when it does
Nejdet Çağdaş Y. honestly, this might be the most underrated reason in the entire thread. Stack Overflow had a culture problem long before it had a traffic problem. AI didn't just answer faster — it answered without making you feel stupid for asking.
Judith Nathanail That's a sharp observation. SO was great at cataloguing known breaks. But new errors in new frameworks, written with AI-generated code? Those won't have SO threads. They'll barely have documentation. That's where the gap gets real.
Jhomara Luzuriaga exactly right. The danger isn't AI generating errors — it's developers shipping those errors without understanding why. SO forced you to read, understand, and verify. AI skips that step unless you deliberately don't let it.
Aditya Phutane exactly. The interview room doesn't care what your AI said. That gap will show.
This is a great reminder that nutrition isn’t just about ingredients—it’s about bioavailability. Preparation method fundamentally changes how the body accesses nutrients.
Meriç Sebuktekin comfortable decline. Finish that sentence — it's worth saying out loud.
Karthikkeyan Vijayan SO integrating AI is the right move. Blocking AI access to their data though — that ship may have already sailed.
Frederic Lhoest That's the question nobody wants to answer. AI trained on human knowledge. Humans stop generating it publicly. Then what?
Only use AI as a tutor and companion not to do all tasks though
Bringing multiple tools into one space can improve productivity.
It helps reduce switching time and keeps work more focused.
We will all regret that.
It depends on how we use these Al tools. If we rely on them completely without understanding why a bug occurred in the first place, we'll lose our problem-solving skills day by day.
On the other hand, when used correctly, these tools can help us grow and release higher-quality products.
Abacus? Really? I mean seriously?
I have an Abacus and 1minAI account and this is a definite "no" if you mean to be using AI seriously... and it's not even cheaper.
The real shift may not be “one AI tool versus another AI tool”.
It may be workflow governance.
Many platforms are trying to reduce friction by putting more functions in one place. That helps.
But the deeper problem is not only tool fragmentation.
It is context fragmentation, decision fragmentation and execution fragmentation.
The next advantage may come from systems that do not simply combine tools, but govern the full workflow: idea, context, task, document, decision, execution and continuity.
In my view, the winners will not be the platforms with the longest feature list.
They will be the systems that remove friction without creating new complexity for the user.
Interesting take.
I see three AI battles happening simultaneously:
Model battle – who builds the smartest AI.
Workflow battle – who removes the most friction between idea and execution.
Distribution battle – who already owns where people spend their time.
History suggests the third battle is often underestimated.
The best product does not always win. The product already sitting inside the user's workflow often does.
AI may be becoming less a contest of intelligence and more a contest of convenience.
Fascinating! Healthcare recommendations intervene with safety instruction too however, do you think the low ER recommendation rate could be default behaviour (conservative), artificat of scarce supervision in other languages or cultural contexts?
Fantastic ! 🤗😇😋🙏👍
Thoughtful perspective on how quickly narratives can change in the tech world.
I agree with only one point. Data is a mutant after AI😂👾