Browse Comments — Clean (de-noised)

Won't we need to continue using it so it can train the LLMs?

"In conversation with OpenAI’s Mark Chen, Terence reflec..." - the part that doesn't get discussed enough. This is going to matter more than most people realise.

Many of us in data science now ask Ai for concise answers. Old inquiries to Stack Overflow required too many tries without truly narrowly answering our questions.

Stack

🍎🍐🫐🥝🍅🥑🍆🥕🥦🧄🧅🥬🫑🍄🍄🥜🫘🫚🍄‍🟫😉😉😉

I don't see it that way. I think that many AI engines are using data they have gathered from Stack!So more correct bottom part of picture, would be a turtle with his own copy of Rat master. :)

Excellent reminder that nutrition is not just about what we eat, but how we prepare it. Small, consistent changes in daily habits often deliver far greater results than chasing the latest health trend or supplement.

One underrated shift AI is creating is lowering the barrier between having an idea and actually acting on it. For researchers, that means exploring paths that once felt too complex or time-consuming. For everyday professionals, it may mean reducing the friction around things like learning, creating, job searching, and even career transitions. The real opportunity may not just be in building powerful AI — but in making it practical and accessible enough for ordinary people to move faster with confidence.

Submit it on softlaunching.net

Alvin Foo Exactly this. I'm 23 and built an AI product (Bulkify) because I ignored the dismissal crowd. Meanwhile, friends who listened to 'it's a bubble' are now 6 months behind on skills they desperately need. Skepticism asks questions. Dismissal closes doors.

Adam Adamkiewicz Yes and no. For many things still I check and read the details there. The contribution still should be remained there because the explanations are beyond this luxurious high literature of AI LLMs. For who they are looking for details and critical aspects, that will be still the bible!

This is a sharp observation about workflow fatigue as AI tools proliferate. The shift from individual model capabilities to integrated experiences is crucial for real-world adoption and delivering meaningful value. Frictionless execution will certainly define the next phase of AI innovation.

Super helpful. Thanks Abhishek Veeramalla

This is exactly where I see AI going, much smaller, more efficient small language models that are task specific Your sales director doesn’t need an LLM that can code The CFO doesn’t need an LLM that can find security vulnerabilities Your security team don’t need an LLM that can make videos

What stood out to me is the idea of preserving the reasoning process, not just the final result. The path to a breakthrough often contains insights that can be just as valuable as the discovery itself.

Stack

ABDULHAFIZ MUHAMMAD (CIBN)

Charles Doan Most LLMs are trained in large training runs, trained in batches not live internet. But yes, developers sharing knowledge still matters. If they stop contributing, the AI quality can become poor on new problems.

this is a great reminder. this is easy to use as supplement and health, we can easily improve health while overlooking the daily dose of getting healthier shaping our health. these small things matter than most of can agree eith

Stack Overflow's friction wasn't a bug — it was a feature. Getting downvoted forced you to understand your problem before you could even ask about it. That struggle built something. What we've done is remove the struggle and call it progress. LLMs in agent wrappers are handing people a confident-sounding answer they can't interrogate, and then wrapping it around prod databases and IAM roles they don't understand. The SO gatekeepers were obnoxious — but at least ignorance had a natural ceiling. Now it doesn't. And we shipped all of this to the world largely unmoderated, at scale, before we figured out what we were actually handing people. That's not democratizing knowledge. That's democratizing the ability to cause damage you don't understand.