Browse Comments — Clean (de-noised)

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😂👾

The most important question isn't which tool wins—it's how people create value with it.

Others are mocking and Sam Altman and Sam Altman is standing with them? You need to change the prompt bro

That's the process, using the AI tools in a practical way, not just experimenting or a chatting tools. Thanks for sharing good content always Ruben Hassid

AI isn't replacing the need to think. It's replacing the need to search. Stack Overflow taught us to find answers. AI is teaching us to build systems. The developers losing out aren't the ones using AI — they're the ones still treating it like a search bar instead of a workflow. I wrote a free chapter on exactly this shift — how to stop using AI as a tool and start building with it as a system. It's on my profile if you want to check it out. Genuine question back: do you think the problem is AI, or how we're using it?

Horsepower ftw

I'm very appreciative of using Google Gemini! Now, I'm even more excited to be using it on everything.

While I have my concerns about AI, I rarely posted on SO because the user base is very skilled at alienating the user base.

Dr Hinton was part of the problem! What a great success of rebranding oneself!

Love this insight! That's why thorough testing against good data will be the only way to make sure that an AI system is working properly and without bias!

Workflow complexity becomes the real barrier in AI maturity. Value increases when teams can move from idea to execution without constant context switching or revalidating outputs across platforms.

Bernie Sanders is chicken little: “The sky is falling, the sky is falling!” Be useful Bernie: don’t just point out issues, propose practical solutions to address the issues.

Perhaps, a trend reversel will happen if AI slop continues. Zig CEO says they don't want PRs based on AI slop and many PRs getting rejected as reviews require lots of effort for AI generated including the replies for the question asked.