Mac

Articles about the Apple Mac in business. Topics include productivity, integration into company processes, software solutions and personal experience reports.

ChatGPT data export explained: How your AI chats become a personal knowledge system

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ChatGPT data export

If you regularly work with an AI, then you probably know this: one thought leads to the next. You ask a question, get an answer, reformulate, develop an idea further. A short question suddenly turns into a longer dialog. Sometimes it even leads to entire projects.

But most of these conversations disappear again. They lie somewhere in the chat list, slide down and are forgotten over time. This is precisely one of the great features of modern AI systems: While previous conversations with colleagues, friends or advisors only existed in our memories, AI dialogs are completely preserved.

This means something crucial: With every conversation, a digital archive of your thinking is created. This is the first part of a small series of articles that will allow you to export your chat history from ChatGPT and use it effectively as a personal treasure trove of knowledge with your local AI system.

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

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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

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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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The Affinity graphics suite becomes free: What professional users need to know now

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Affinity graphics suite free of charge

If, like me, you have been working with layout and typesetting programs for decades, you usually notice such changes more clearly than those who have only recently entered this world. I have seen many things come and go over the years: In the early nineties, I worked on the Atari ST with Calamus SL and later, under Windows, with CorelDraw! Later came QuarkXPress, then iCalamus, Adobe InDesign - and finally, a few years ago, Affinity Publisher. Since then, the Affinity suite has accompanied me through almost all my book projects. Over the years, it has been a reliable tool, pleasantly straightforward, clearly structured and free of the ballast that many large software houses have added to themselves over the years.

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Apple MLX vs. NVIDIA: How local AI inference works on the Mac

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Local AI on Silicon with Apple Mac

Anyone working with artificial intelligence today often first thinks of ChatGPT or similar online services. You type in a question, wait a few seconds - and receive an answer as if a very well-read, patient conversation partner were sitting at the other end of the line. But what is easily forgotten: Every input, every sentence, every word travels via the Internet to external servers. That's where the real work is done - on huge computers that you never get to see yourself.

In principle, a local language model works in exactly the same way - but without the Internet. The model is stored as a file on the user's own computer, is loaded into the working memory at startup and answers questions directly on the device. The technology behind it is the same: a neural network that understands language, generates texts and recognizes patterns. The only difference is that the entire calculation remains in-house. You could say: ChatGPT without the cloud.

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Integration of MLX in FileMaker 2025: Local AI as the new standard

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Local AI with MLX and FileMaker

While MLX originally started as an experimental framework from Apple Research, a quiet but significant development has taken place in recent months: With the release of FileMaker 2025, Claris has firmly integrated MLX into the server as a native AI infrastructure for Apple Silicon. This means that anyone working with a Mac and relying on Apple Silicon can not only run MLX models locally, but also use them directly in FileMaker - with native functions, without any intermediate layers.

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Local AI on the Mac: How to install a language model with Ollama

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Local AI on the Mac has long been practical - especially on Apple-Silicon computers (M series). With Ollama you get a lean runtime environment for many open source language models (e.g. Llama 3.1/3.2, Mistral, Gemma, Qwen). The current Ollama version now also comes with a user-friendly app that allows you to set up a local language model on your Mac at the click of a mouse. In this article you will find a pragmatic guide from installation to the first prompt - with practical tips on where things traditionally go wrong.

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What to do if the WLAN regularly drops out under OS X Lion?

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OS X Lion loses WLAN? Solution for a FRITZ!Box.I have been running my Wi-Fi network with a FRITZ!Box Fon WLAN for about a year, which has worked perfectly under Mac OS X 10.6 Snow Leopard. Since I recently switched to a new iMac with OS X Lion, the Wi-Fi has become extremely unstable. The iMac with the new Apple operating system lost the wireless network at irregular intervals and could no longer access the Internet. The Wi-Fi interruption was not noticeable from the outside - the Wi-Fi icon in the menu bar remained at full deflection, but access to the Internet was no longer possible. A short-term remedy was to deactivate Wi-Fi and then reactivate it - until the next time the Wi-Fi connection was lost. Strangely enough, this phenomenon even extended to my iPad, which also lost the Wi-Fi connection at irregular intervals. How this problem can be solved permanently in conjunction with a FRITZ!Box Fon WLAN is described below.

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