How animals perceive time - and what this means for the future of AI

Animals, AI and time perception

A cat is lying on the carpet. It does not move. It may blink briefly, turn an ear, sigh inwardly at the impositions of existence - and nothing else happens. The human looks at it and thinks: „Typical. Lazy cattle“. But what if the exact opposite is true? What if the cat is not too slow - but we are? This article was written after I watched a video by Gerd Ganteför on this topic and found it so interesting that I would like to present it here.

Humans have been observing animals for centuries and always come to the same wrong conclusions. We interpret their behavior with our speed, our perception, our inner clock. And this clock is, soberly considered, more of a cozy wall calendar than a high-speed processor. Perhaps the cat only seems so disinterested because its environment feels about as dynamic to it as a queue of officials on a Friday afternoon.

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When the Mac listens: What Apple's integrated AI with Gemini and Siri will mean for users in the future

Apple, Siri and Gemini

When you open a Mac today, you expect reliability. Programs start, files are in their place, processes are well practiced. Many have built up a way of working over years - some over decades - that works. You know where to click. You know your tools. And this is precisely where the quiet comfort lies. But for some time now, a change has been brewing in the background that is bigger than new colors, new icons or additional menu items. For the first time, a form of artificial intelligence is moving in not just as a single application, but closer to the heart of the operating system itself. Where daily routines are created.

That sounds abstract at first. Perhaps even a little futuristic. But basically it's about something very down-to-earth: the computer should better understand what is meant. Not just what is clicked on. Many people have so far experienced AI outside of their actual work. In chat windows, on websites, as an experiment or a gimmick. You try something out, perhaps be amazed, close the window again - and return to your normal everyday life.

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Artificial intelligence without the hype: why fewer AI tools often mean better work

Artificial intelligence without the hype

Anyone who deals with the topic of artificial intelligence today almost inevitably encounters a strange feeling: constant restlessness. No sooner have you got used to one tool than the next ten appear. One video follows the next on YouTube: „This AI tool changes everything“, „You absolutely have to use this now“, „Those who miss out are left behind“. And every time, the same message resonates subliminally: You're too late. The others are further ahead. You have to catch up.

This doesn't just affect IT people. Self-employed people, creative professionals, entrepreneurs and ordinary employees are also feeling the pressure. Many don't even know exactly what these tools actually do - but they have the feeling that they could be missing out on something. And that's exactly what creates stress.

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Using AI as a sparring partner: How thinking in dialog becomes more productive

AI as a savings partner

I've been using artificial intelligence for almost exactly two years now. In the beginning, it was sober and technical: entering text, typing prompts, reading answers, correcting, retyping. The way many people did it - carefully, in a controlled manner, with a certain distance. It worked, no question. But there was still something mechanical about it. You asked questions, got answers, ticked them off.

I realized relatively early on that I was missing something: flow. Thinking is not a form. Good thoughts don't come from a corset of neatly formulated input, but from talking, trying things out, thinking aloud. So I started to use the AI app on my cell phone more often - and at some point I simply started speaking instead of typing. That was the real turning point.

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Cloud AI as head teacher: why the future of work lies with local AI

Cloud AI becomes the head teacher

When the large language models began their triumphal march a few years ago, they almost seemed like a return to the old virtues of technology: a tool that does what it is told. A tool that serves the user, not the other way around. The first versions - from GPT-3 to GPT-4 - had weaknesses, yes, but they were amazingly helpful. They explained, analyzed, formulated and solved tasks. And they did this largely without pedagogical ballast.

You talked to these models as if you were talking to an erudite employee who sometimes got lost, but basically just worked. Anyone who wrote creative texts, generated program code or produced longer analyses back then experienced how smoothly it went. There was a feeling of freedom, of an open creative space, of technology that supported people instead of correcting them.

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AI Studio 2025: Which hardware is really worth it - from the Mac Studio to the RTX 3090

Hardware 2025 for AI studio

Anyone working with AI today is almost automatically pushed into the cloud: OpenAI, Microsoft, Google, any web UIs, tokens, limits, terms and conditions. This seems modern - but is essentially a return to dependency: others determine which models you can use, how often, with which filters and at what cost. I'm deliberately going the other way: I'm currently building my own little AI studio at home. With my own hardware, my own models and my own workflows.

My goal is clear: local text AI, local image AI, learning my own models (LoRA, fine-tuning) and all of this in such a way that I, as a freelancer and later also an SME customer, am not dependent on the daily whims of some cloud provider. You could say it's a return to an old attitude that used to be quite normal: „You do important things yourself“. Only this time, it's not about your own workbench, but about computing power and data sovereignty.

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Immortality through technology: how far research and AI have really come

Digital immortality

Ever since humans have existed, there has been a desire to prolong life - or preferably extend it indefinitely. In the past, it was myths, religions, alchemists or mysterious rituals that gave people hope. Today, it is no longer magicians sitting over ancient parchments, but some of the richest people in the world sitting over state-of-the-art biology and AI technology. At first glance, it sounds like science fiction: is it possible to stop ageing? Can you „preserve“ yourself digitally? Can you transfer your thinking to a machine?

But the topic has long since left the ivory tower. Big tech billionaires are now investing billions in projects that are seriously investigating precisely these questions. Not because they want to become immortal gods - but because they can afford to research the limits of what is possible. This article explains quite simply what is behind this idea, what technical developments already exist today, where the limits lie - and why this topic will become increasingly important over the next 20 years.

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The new EU censorship laws: What Chatcontrol, DSA, EMFA and the AI Act mean

EU censorship laws

In an increasingly digitalized world, we spend a lot of time online: Chatting, shopping, working, informing ourselves. At the same time, the rules on how content is shared, moderated or controlled are changing. The Digital Services Act (DSA), the European Media Freedom Act (EMFA), the planned Regulation to Prevent and Combat Child Sexual Abuse (CSAR, often referred to as „chat control“) and the AI Act are key pieces of legislation proposed by the European Union (EU) to regulate the digital environment.

These regulations may seem far away at first glance - but they have an impact on you as a private individual as well as on small and medium-sized companies. This article will guide you step by step: from the question „What is planned here?“ to the background and timelines to the change of perspective: What does this mean for you in everyday life?

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