{"id":2860,"date":"2025-10-19T19:10:15","date_gmt":"2025-10-19T19:10:15","guid":{"rendered":"https:\/\/christiantwellmann.de\/?p=2860"},"modified":"2025-10-21T09:02:43","modified_gmt":"2025-10-21T09:02:43","slug":"a-million-monkeys-how-does-artificial-intelligence-actually-work","status":"publish","type":"post","link":"https:\/\/christiantwellmann.de\/en\/a-million-monkeys-how-does-artificial-intelligence-actually-work\/","title":{"rendered":"A million monkeys… How does Artificial Intelligence actually work?"},"content":{"rendered":"\n

What we really mean by AI \u2013 and what we don’t<\/strong><\/h3>\n\n\n\n

“Artificial Intelligence” sounds like science fiction: robots that have feelings, philosophize with us, or write the perfect tax return. In reality, AI is a deeply mathematical system of algorithms that solves tasks previously reserved for humans. Intelligent behavior \u2013 without its own consciousness or emotions.<\/p>\n\n\n\n

It \u2019s important to understand that an AI is not “omniscient”; it\u2019s simply very, very fast at analyzing very, very large amounts of data.<\/p>\n\n\n\n

The unimaginable quantity of data, combined with now available computing power, allows us to virtually realize the “infinite monkey theorem”: “If you gave infinitely many monkeys infinite time, they would eventually write all the works of Shakespeare.”<\/p>\n\n\n\n

Everyday life: AI everywhere \u2013 from coffee machines to customer support<\/strong><\/h3>\n\n\n\n

Whether it\u2019s Google Maps (which usually gets you to your destination safely), Instagram suggesting cat pictures, or ChatGPT eagerly spitting out texts and jokes \u2013 AI is already part of our daily lives. It sorts emails, assists with diagnoses in hospitals, and recommends the perfect song for every mood.<\/p>\n\n\n\n

The magic? The ability to deliver the right response from countless examples \u2013 faster than any human ever could.<\/p>\n\n\n\n

How does AI “think”? A look under the hood<\/strong><\/h3>\n\n\n\n

Here it gets interesting \u2013 and surprisingly mathematical.<\/p>\n\n\n\n

    \n
  • The Question<\/strong>
    First, the text is sent to the model (“What is the capital of France?”), which dutifully converts it into numbers (so-called \u201ctokenization\u201d).<\/li>\n\n\n\n
  • Recognizing Patterns, Juggling Probabilities<\/strong>
    The AI scans what kind of question is being asked, recognizes key terms and question types, sorts by similar patterns known from training, and analyzes the context.<\/li>\n\n\n\n
  • The Big Picture<\/strong>
    With mathematical methods (!), the AI checks how the words are connected and which sequences are typical.<\/li>\n\n\n\n
  • The Probability Ballet<\/strong>
    For each possible next word, the AI creates a ranking: What fits best? Paris, Berlin, Istanbul? The mathematically most plausible answer wins. A bit like the audience poll in a quiz show.<\/li>\n\n\n\n
  • The Answer<\/strong>
    The answer is built step by step. The AI constructs the solution word by word, always following the principle: The most likely fitting expression comes next.<\/li>\n<\/ul>\n\n\n\n

    What does this have to do with real \u201cunderstanding\u201d?<\/strong><\/h3>\n\n\n\n

    The sobering answer: Very little, if anything. AI recognizes patterns, learns from billions of examples, and simulates understanding extremely well \u2013 but it doesn\u2019t really know what a word means, why people are sad, or what is actually so special about Paris.<\/p>\n\n\n\n

    AI and emotions: Simulation instead of heartbeats<\/strong><\/h3>\n\n\n\n

    Can AI have feelings? It can pretend and even simulate them wonderfully \u2013 such as when a chatbot responds empathetically to complaints.<\/p>\n\n\n\n

    But: It\u2019s always mathematical imitation, never genuine experience or emotion. Machines don\u2019t need chocolate for heartbreak, they just know from countless training examples that chocolate can be comforting.<\/p>\n\n\n\n

    The great race: Efficiency beats data quantity!<\/strong><\/h3>\n\n\n\n

    People once thought: Whoever has the most data wins the AI race. Today, we see: It\u2019s not just the amount of data that counts, but also how smart and efficient the algorithms perform calculations. The winner is whoever delivers the best answers the fastest and with the least energy.<\/p>\n\n\n\n

    Example from daily life: Chatbots that find the most relevant answer from millions of possibilities in a flash \u2013 because they know mathematical shortcuts and clever training methods, like a good student with cheat notes.<\/p>\n\n\n\n

    Infallible?<\/strong><\/h3>\n\n\n\n

    Artificial Intelligence is not infallible. It can make mistakes \u2013 for example, when its data contains so many errors that it mistakes them for truth. It can also \u201ctake a wrong turn\u201d during analysis and create connections that seem logical but are actually incorrect.<\/p>\n\n\n\n

    This is reminiscent of a well-known fallacy: Something doesn\u2019t automatically become right just because many people \u2013 or monkeys \u2013 do it. Sheer numbers of voices or actions do not guarantee truth.<\/p>\n\n\n\n

    Ultimately, truth does not arise from repetition or majority, but from careful examination and critical thinking \u2013 in both people and machines. Unfortunately, careful examination and critical thinking haven\u2019t yet taken hold everywhere among humans \u2013 in my city, for example, even the \u201cwrong\u201d football club has more members than the \u201cright\u201d (or better ‘left’) one \ud83d\ude09<\/p>\n\n\n\n

    A Million Monkeys<\/strong><\/h3>\n\n\n\n

    Back to the philosophical theorem mentioned at the beginning: While the infinite monkey theorem relies purely on chance, AI uses sophisticated algorithms to identify patterns in vast amounts of data.<\/p>\n\n\n\n

    This makes it much more than a digital monkey: it is a mathematical genius that simulates language and logic in increasingly impressive ways.But: Real understanding, emotions, and deep consciousness? Those remain exclusive to humans. In the end, we have simply given an awful lot of virtual monkeys infinite time to deal with our questions\u2026<\/p>\n\n\n\n

    The point is to understand AI for what it is: an (almost) perfect tool for solving complex tasks and accelerating processes. It is the \u201csuper-intern\u201d of the digital age \u2013 nothing more, nothing less, and still far from true thinking.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Artificial intelligence is a topic that occupies business, science, and our daily lives today \u2013 and seemingly every LinkedIn feed. But what is really at the core of this technology? And why does a suburbian soccer club have more members even though St. Pauli is clearly the only real option?<\/p>\n","protected":false},"author":2,"featured_media":2863,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"A million monkeys \u2013 How Artificial Intelligence works...","_seopress_titles_desc":"Artificial intelligence is a topic that occupies business, science, and our daily lives today \u2013 and seemingly every LinkedIn feed. But what is really at the core of this technology? And why does a suburbian soccer club have more members even though St. Pauli is clearly the only real option?","_seopress_robots_index":"","footnotes":""},"categories":[110],"tags":[107,106,109,108],"class_list":["post-2860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai","tag-artificialintelligence","tag-digitaltransformation","tag-techexplained"],"_links":{"self":[{"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/posts\/2860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/comments?post=2860"}],"version-history":[{"count":0,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/posts\/2860\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/media\/2863"}],"wp:attachment":[{"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/media?parent=2860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/categories?post=2860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/christiantwellmann.de\/en\/wp-json\/wp\/v2\/tags?post=2860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}