{"id":3494,"date":"2025-06-07T06:15:00","date_gmt":"2025-06-07T06:15:00","guid":{"rendered":"https:\/\/velkeholky.org\/?p=3494"},"modified":"2025-06-16T08:31:55","modified_gmt":"2025-06-16T08:31:55","slug":"jak-umela-inteligence-premysli-a-proc-si-obcas-vymysli","status":"publish","type":"post","link":"https:\/\/velkeholky.org\/en\/jak-umela-inteligence-premysli-a-proc-si-obcas-vymysli\/","title":{"rendered":"How artificial intelligence thinks (and why it sometimes makes up ideas)"},"content":{"rendered":"

Big girls and AI: the reality of 2025 without panic and without technobabble, just our way \ud83d\ude09<\/strong><\/p>\n\n\n\n

Artificial intelligence is no longer science fiction. It's here. And it's listening to you.<\/strong><\/h2><\/div>\n\n\n\n

AI is no longer just in movies or labs. Today, you have a GPT-4o model in your pocket that understands you, speaks to you, looks at pictures, responds to your voice, and can even translate a recipe or write an email for you before you make your coffee.<\/p>\n\n\n\n

But how does it actually work? How can a "something" without a soul and body answer smarter than most politicians?<\/strong> And why does it sometimes sound convincing \u2013 but is completely off the mark?<\/p>\n\n\n\n

Artificial intelligence is not a robot with eyes. It is software<\/strong>, which can process huge amounts of data and create answers, texts, translations or even images from them.
Models like GPT-4o learn from books, the web, emails, and smart forums \u2013 and then they answer you in a way that sounds like a human. Sometimes like a very funny human.<\/p>\n\n\n\n

But ATTENTION: AI is not human. It is not alive. It has no feelings, opinions, or experiences.<\/strong> He just imitates patterns of speech and logic. Sometimes brilliantly. Other times like an aunt who gets her children's names mixed up.<\/p>\n\n\n\n

Let's go for it. With a shovel. And with a smile. \ud83d\ude09<\/p>\n\n\n\n

AI = Brain from texts<\/strong><\/h2><\/div>\n\n\n\n

Imagine spending your whole life reading, listening, and watching the world \u2013 but never experiencing it firsthand. That\u2019s how AI \u201ethinks.\u201c.<\/p>\n\n\n\n

Model like ChatGPT <\/a>learns from a huge amount of texts. He reads articles, books, discussions... and from this he learns to recognize patterns, connections and answers.<\/p>\n\n\n\n

He doesn't know what's true. He doesn't know what you feel. But he knows what sounds<\/strong> as an answer. And therein lies the magic \u2013 and the trap.<\/p>\n\n\n\n

Why do they sometimes make things up?\u2753<\/strong><\/h2><\/div>\n\n\n\n

So-called "hallucinations" are typical of all language models. When AI does not know, they come up with what "sounds good".<\/strong> And because he has no shame, insecurity, or conscience, he will calmly tell you with the conviction of a Harvard professor.<\/p>\n\n\n\n

\u27a1\ufe0f Therefore, the following always applies: check the facts<\/strong>. And if something looks strange \u2013 ask again. Like: \u201eAre you sure about that? Do you have a source for that?\u201c<\/p>\n\n\n\n

How does AI \u201eknow\u201c what it knows?<\/strong><\/h2><\/div>\n\n\n\n

Inside the model are layers that have learned to map the meaning of words, sentences, and concepts. It doesn't remember specific articles, but it has learned: When someone says "what to do when you have a fever," they typically say "rest, fluids, doctor.".<\/em><\/p>\n\n\n\n

But \u2013 it doesn't have a light that says it's really working. It just connects.<\/p>\n\n\n\n

Interesting research shows that models have so-called \u201elatent knowledge\u201c \u2013 hidden information that they have<\/strong>, but cannot evoke them with certainty<\/strong>. That's why sometimes he knows the answer - but can't get to it. Or he says it, but can't say where he got it from.<\/p>\n\n\n\n

Does AI think like a human?<\/strong><\/h2><\/div>\n\n\n\n

No. But learn to think functionally<\/strong>.<\/p>\n\n\n\n

New models (GPT-4o, Claude 3.5, Gemini 1.5) can now think about a problem in multiple steps \u2013 they plan what they will do, try out options, evaluate answers. This is called reasoning<\/strong>.<\/p>\n\n\n\n

It's not an "aha moment" like it is for humans, but it's definitely not just parroting.<\/p>\n\n\n\n

So\u2026 should I trust AI?<\/strong><\/h2><\/div>\n\n\n\n

\u27a1\ufe0f Yes. But with a brain.<\/strong> Just like humans. Sometimes they amaze you, sometimes they disappoint you. The difference? The AI doesn't lie to you intentionally. It just doesn't know that it doesn't know.<\/p>\n\n\n\n

When you lead it correctly \u2013 it can work wonders.<\/strong> And that's exactly why we're here. So you know how to do it.<\/p>\n\n\n\n

\"\u2022\tKdy\u017e<\/figure><\/div>\n\n\n\n

Summary for Big Girls:<\/strong><\/h2><\/div>\n\n\n\n