These days I am often coming back to vivid memories from my childhood that relate to technology. In the mid 1990s, my parents bought their first desktop computer. An Intel 386 processor, a floppy drive (5 1/4 inch) and a 3 1/2 inch disk drive, an 120 MB
Tom Peters has been all about "Excellence" for a few decades now, and I've been following/ reading/ thinking about his points for twenty of those years. If you don't know Tom Peters: you are in for a ride. If he was using a typewriter,
A public holiday at the beginning of W22 threw me off - apologies for the late sendout. I am backdating the publication date to the regular Sunday to not trip up the archive for all time to come ;) The rapid evolution of large language models often feels like a relentless tide,
The shift from proving genAI use in corporate workflows in general, towards managing real-world genAI deployment at scale is proving much more complex than many anticipated, the friction of integration remains high. No wonder that we see weird incentive scenarios (Amazon this week...), and the genAI behemoths creating their
The most significant shifts in technology often occur within the layers we take for granted, whether it is the thermal management of a chip or the foundational trust in data privacy. Observing these structural developments reveals much about where the next era of computing will be anchored. These pieces explore
Does the preoccupation with long-term AGI risks blind us to the immediate economic and social frictions currently unfolding? From unsustainable generative AI subsidies to the direct impact of live model experimentation on users, the most significant shifts are happening in the present. This week explores these pressing realities alongside
Welcome back! This is the third installation of my newsletter, and I am already happy to create this public archive of interesting content. From the buzzwords generated by LLMs to the physical modularity of new hardware, the underlying structures are shifting. This week's curation explores both the risks
I have been spending a lot of time lately thinking about where automation ends and true agency begins. It is easy to get lost in the hype of generative models, but the real interest lies in how these technologies integrate into our workflows and even our philosophical outlooks. This week&
I have been thinking a lot lately about the gap between what AI promises and what it actually delivers in practice. We are seeing a fascinating tension between massive corporate narratives and the more transparent, open-source movements emerging underneath them. This week's selection touches on that friction,
Oftentimes I encounter problems that I never imagined one could have. Like: „my bike doesn‘t turn on“. Yeah. So my awesome e-gravel-bike that I got this summer seems to have an issue. And if I still had hair… I would be pulling it out over this. Trigger
When I updated this website I thought about the theme that I want to follow here for the next time. Although this is my publicly private place, I still like to have some general direction, a common thread that stitches the content together. The phrasing "awesome problems" is
There are many wrong ways to know your customers. With Consumers, statistics can mislead. Averages. You might ask for opinion, for comparative preference. Not for their money. There are many more wrong ways to know your B2B customers. * Through the words of enterprise sales. * Through the numbers of corporate strategy.