Writing

I would argue, that Artificial Intelligence has a very weird vibe to it, and you get to feel that when talking to people with different backgrounds. My general consensus is, people don’t like the concept of Artificial Intelligence. Artificial Intelligence is, well, artificial. It tries to take away skills and knowledge that we as humans have developed throughout our existence. There are machines now that can think, which used to be exclusive to us, humans. Artificial Intelligence spreads fear about the unknown, the future, and produces worries about jobs.

People love using AI though. What people do like is what AI does, how it helps them. They love the idea that all of a sudden they can work 5 times as fast, cut out the boring work, get an answer to anything, have AI do the thinking. They love experiencing the magic of generating an image. They love how they created a website without knowing what that even means. They love interacting with Artificial Intelligence, using ChatGPT, Claude and Gemini, but they hate that it exists.

And ads for AI companies should reflect exactly that. They need to show how people can do more, learn faster, build higher, discover more, and push the world forwards by using such tools. Here’s to Super Bowl ads.

The summer following my high school graduation I decided to embark on a journey of bikepacking from Vienna, down to the south of Croatia. Going nearly 1,000 kilometers from Austria to Croatia Bikepacking feels like something, especially regarding elevation and terrain.

Was it an absolutely fantastic experience? Sure.
Would I do it again? Absolutely.
Was it life changing the way some people portray it? No.

But that’s not something I expected, not why I decided to do this. My motivation came from inside and the idea formed before I even knew that Bikepacking even was a word. As a result of my planning I got and watched a bunch of Instagram videos but those only reinforced myself in wanting to do this.

Agentic coding models and harnesses have become so effective that a large share of new software is now written by agents. For a good reason, it’s faster, code is at times higher quality than if human written, and there are seemingly no downsides. We thought.

But the majority of new Software feels average, in a sense that it feels a like AI slop, instead of software that was created with craft and care. For all that follows here, it’s important to understand, that AI coding produces impeccable results, if done right. But it all comes down to the process. Years ago we used to start at an idea, sketch it out by hand or on a whiteboard, then refine the user experience and exact optics in Figma, then start development. We used to style every button to perfection, manually set border radii to be concentric and look correctly. Things took time and while something taking longer doesn’t mean that it is better, it does usually mean that more thought has had to be put into.

Today, many teams jump directly from idea to their coding agent (Claude Code, Codex). This quickly gets them an MVP, but not something that excites users. There’s this well known saying that getting the last 20% right takes 80% of the work, and here I would say that getting the last 20% right takes 95% of the work. And it’s these 20% that make the difference between AI slop, and a thought out solution.

LLMs will substantially change the way we compute, meaning use technology in general. That’s a given fact for me and many others, simply based on the point that current interfaces are built around the idea that only humans can reason and think. Transformers and LLMs change that completely, and this opens up so many new doors as to how humans and technology co-exist. Notice how I didn’t say “humans use technology”, because I would want to move away from the premise of me “using” tech. Things should feel natural, and technology should move in the background.

Because currently, every time I am using my computer, I feel like this can’t be the best way we have to work, and every time I am in public transport and see everyone scrolling on their phones I feel like this can’t be the end of where technology lead us.

There are 2 camps here, about how the computer of the future will look like, and I’ve had a very interesting discussion a few days ago (March 2024). The question is – will everything evolve around a chatbot, or will a chatbot just not play a role at all when it comes to the future of computing? I see both visions, but the second one seems far more innovative. Let me explain.

This article is non-technical. I might present my personal workflow of working with AI Agents and other tools in the future, but this here is about everyday AI usage.

We as in humanity have developed certain etiquettes in how we are using technology. As Yousr’Allah Allouani notes, it is considered disrespectful checking your phone for new messages while sitting in a Cafe with a friend. Or checking the time all too often. And we need the same for AI. I’m unsure as to whether “Etiquette” is the right word for that here, but this is how I believe you should use the current state of this technology, and a “rulebook” that I am subconsciously following.

This entire page is to be taken with a grain of salt. Life isn’t always that serious, and at times we just want to have fun, so then please ignore anything I am saying here. But there were plenty serious situations where I wished people got some inspiration from this list.

The beautiful thing about using agentic AI to co-work is that the limits simply seem endless. It feels like you can achieve anything you want within a day of diving deep, which is an incredible feeling. We are talking about things that would otherwise take months to understand and create.

Lately, I’ve started to fix the things that have annoyed me on my Mac for longer. The following are two examples, there are many more. From Obsidian Plugins over to Terminal CLI’s.

There are webpages that simply do things that you don’t want them to do, or look a way you don’t want them to. Claude Code is incredible at creating Chrome extensions and those are incredibly powerful if utilized in the right way.

Everybody does different things on their Mac, so their configurations are naturally different from one another. I do a creative combination of interaction design, web development, all-things development using AI tools, and studying Computer Science. Here’s what’s on my Mac, currently. The things I left out are things I couldn’t think off, meaning they have to be irrelevant.

If you get some inspiration from here, or have inspiration for me, let me know!

OpenAI is introducing ads on ChatGPT Free and Go tiers under four pillars. The biggest one is that ads do not influence the answer AI gives you. The thing is, it does exactly that. Just not directly.

Yes, in an ideal world a ChatGPT ad at the bottom of the page has nothing to do with the content above, it’s a random display ad like in any cheap mobile game. But OpenAI is doing the exact opposite. Information about the user is not shared with the advertiser, but the advertiser is promised that ads will be shown to users who fit the profile best and are most likely to convert, based on the current conversation. If you’re thinking about what to do for dinner, you might get an ad for groceries.

And people have no idea how much OpenAI knows about you. We think Instagram, TikTok and the like know all about you to tailor the algorithm, but people simply forget what they feed daily into ChatGPT. Every little prompt tells a whole story about a totally different aspect of your life. Point is, OpenAI knows where you work, about your family, your medical issues, your interests, friends, values, motivation, depression, thoughts, projects, your lifestyle, and from that everything else follows. How your mind works, how you think, how you act under pressure, what softens you, what your trigger points are, how much confidence you have, how much structure you need.

If you’ve spent time chatting with large language models (LLMs) like ChatGPT, Claude, or Gemini, you’ve probably noticed that the conversation flows linearly. You ask a question, the model answers. You follow up, it continues. This might work for quick questions, but the thing is, thought and research processes don’t work like that.

We need the ability to branch off. Ask a question to a specific part of the answer of the LLM, and get the answer without being automatically scrolled down to the very bottom of the conversation which means you need to scroll back up to were you were.

Conversations with AI shouldn’t be a single thread, but a branching tree. I should be able to select a part of the answer that I don’t understand, pose a question, and get an answer in a split screen next to the main, linear thread.

It’s genius. Here’s some thoughts following on DevDay 2025.

Through the new Apps SDK, all SAAS companies are required to build an integration into ChatGPT, because if they don’t, they’ll just get completely replaced by the competition. When creating a presentation, people already spend a lot of their time in ChatGPT to assemble the contents. They used to copy-paste them out into a presentation tool, but when they can generate, edit, and export a Canva deck right on ChatGPT, there’s no need to ever visit that website.

It’s an absolutely scary, but genius move. Sooner or later, a “normal person” (meaning non-dev or so) will be able to spend 100% of their time on their computer in ChatGPT. Wait till they add a nice Music player, Video (Netflix and co.) player, and Email UI and invent a new kind of messaging service (I have some ideas that I’ll share later).

All of these launch videos follow a similar pattern, and they are absolutely beautiful. They leave you in awe really wanting that product, and I can’t describe how and why. It’s a relaxed atmosphere, elements of nature and everyday life combined, while showing the product. As you can see I’m very interested in technology that helps us think, which is reflected in the selections of videos below.

Have another one that fits the mood? Send me an email, I’ll add it!

Say hi to https://t.co/VIWYU64dUI! 👋🏼🌴 pic.twitter.com/gFoZupfqZE

Video evidence is inadmissible now. It used to be proof something happened, or not. And well, no more. We need a new way of proving what’s true and what’s not and how this’ll look like? Not sure, yet.

The appearance of LLMs marked the start of artificial content. Back in 2022, when ChatGPT launched, it felt like a niche thing for tech nerds to play with. Some of us (including myself) already had an OpenAI account and were using the GPT-3 API before ChatGPT even existed. Either way, it took a year for people to understand what this meant, and another year for people to figure out how to use it to actually get work done. One thing always stood out –

We’ve accepted that we don’t know whether what we read is human- or AI-written. We’ve accepted it to the point where we don’t even question who wrote the latest Economist article, because to a degree, it doesn’t matter. Someone thought of the content and somehow got it down on paper. We’ve accepted that if an entire newsroom article announcing GPT-5 is written by an LLM, it doesn’t really matter. The beginning was hard. When ChatGPT launched, people were freaked out about exactly this – and now we accept it.

With announcement after announcement, one thing never changes: I love technology. Because it’s a field that just somehow never stops changing the world.

And just when we think things are stagnating, we’re onto something new.

Right now, you can feel that energy. LLMs (besides being the revolution themselves) inspired new products and companies to launch things that could’ve been done before as well, we’ve got that new wave of motion to the startup space. Take Taya for example, a necklace you talk into, which transcribes and saves your ideas and thoughts. Absolutely beautiful.