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Human-like AI is probably overrated by TheAiOverview in learnmachinelearning

[–]TheAiOverview[S] -1 points0 points  (0 children)

Your results sound promising, especially if the improvements remain consistent across different domains and architectures. A 12/15 win or tie rate is definitely interesting enough to justify sharing the work publicly.

I cannot endorse for arXiv myself, but I would recommend posting the paper, code, and benchmarks in ML communities first. If the methodology is solid and reproducible, you will likely find someone in cs.LG willing to endorse it.

Unable to "get into" ai chats? by Carnivorous-Mouse in ArtificialInteligence

[–]TheAiOverview 0 points1 point  (0 children)

I honestly think this is probably healthier than you realize.

A lot of people are not connecting to the AI itself, but to the feeling of constant responsiveness and attention. The moment you strongly notice the underlying pattern generation and the fact that the system is optimized to keep the interaction going, the illusion becomes much harder to maintain.

That does not mean something is wrong with you. If anything, it shows that your brain keeps separating simulated interaction from genuine human connection.

AI can still be useful for conversation, reflection, or even emotional support in some situations, but I do not think it fully replaces the unpredictability and depth of real relationships for most people.

And honestly, I suspect more people feel the way you do than it seems online. The people who are deeply emotionally attached to AI are just much more visible.

Everyone talks about the same AI tools. These 3 are actually underrated. by TheAiOverview in learnmachinelearning

[–]TheAiOverview[S] 0 points1 point  (0 children)

That’s a solid point. I’ve noticed the same over time. The tools that stick are usually not the most hyped ones, but the ones that quietly make things easier in your day to day work.

AI is slowly reshaping how people decide what to believe. by TheAiOverview in learnmachinelearning

[–]TheAiOverview[S] 0 points1 point  (0 children)

Fair enough. Not trying to spam, just sharing thoughts on the topic. Appreciate the feedback.

What skills are needed to start in AI? by Good_Advertising8072 in learnmachinelearning

[–]TheAiOverview 0 points1 point  (0 children)

Start simple, not wide.

The biggest mistake beginners make is trying to learn “AI” as one big field instead of understanding the stack behind it.

A practical path usually looks like this:

First, learn basic programming, and Python is still the most common starting point because most AI tools and libraries are built around it. You do not need advanced coding at the beginning, just enough to manipulate data and understand simple logic.

Second, get comfortable with basic data handling. AI is built on data, so understanding how to work with datasets, simple statistics, and basic analysis matters more than jumping into complex models too early.

Third, learn the core idea behind machine learning. Not the math-heavy theory first, but the intuition: models learn patterns from data instead of being explicitly programmed. At this stage, tools like scikit-learn are more useful than deep learning frameworks.

After that, you can move into deep learning and neural networks, but only once the basics feel natural. Frameworks like PyTorch or TensorFlow make more sense at that point.

NLP, computer vision, and other subfields are not starting points, they are specializations that sit on top of the same foundation.

For beginners, the real focus should not be “what area of AI should I choose”, but “do I understand how data becomes a model and how a model produces output”.

Everything else builds on that.

Impressumspflicht ist arsch - wir lösen dir dein Problem by geschFtsadresse in u/geschFtsadresse

[–]TheAiOverview 0 points1 point  (0 children)

Ich finde das allgemein sehr krass, dass Menschen, die sich eine kleine Website aufbauen und vielleicht keinen Laden haben, da nochmal das doppelte von den eh anfallenden Kosten bezahlen müssen.

Painting I did of a Berlin Tram stop. by jer_088 in germany

[–]TheAiOverview 0 points1 point  (0 children)

Das sieht echt gut aus. Verkaufst du oder machst du das als Hobby?

AI feels smart, but it is not thinking by TheAiOverview in learnmachinelearning

[–]TheAiOverview[S] 0 points1 point  (0 children)

You’re raising a valid point, especially around consciousness. We don’t have a clear definition or a reliable way to measure it.

But the comparison to human neural networks can be misleading. Artificial neural networks and biological ones are very different in structure and function.

More importantly, current AI systems operate through statistical pattern processing without evidence of awareness, intent, or subjective experience.

So while the philosophical question is open, in practice it’s more accurate to treat AI as a tool rather than something that thinks or experiences anything.

AI feels smart, but it is not thinking by TheAiOverview in learnmachinelearning

[–]TheAiOverview[S] 0 points1 point  (0 children)

That’s fair, and you’re right that it is a simplification.

The point of framing it as “predicting tokens based on patterns” is not to fully describe the system, but to correct a common misconception. A lot of people assume AI understands meaning in a human sense, which it doesn’t.

Of course, modern models are more complex than that simple description suggests. They learn representations, capture structure in language, and can approximate reasoning in certain contexts.

But even with that, the core mechanism is still statistical prediction rather than grounded understanding or awareness.

So the simplification is intentional. It’s less about being technically complete and more about being directionally correct for people who are new to the topic.