SRF — 20/04/2026

Es ist schon lange bekannt, dass der Autopilot von Tesla nicht so gut funktioniert wie beworben. Diese Daten von 2022 zeigen aber das große Ausmaß des Risikos, das dieser Autopilot für die Insassen und die Umgebung darstellt. Brisant ist auch, dass Tesla behauptet, nicht von diesen Fehlfunktionen zu wissen, selbst im Falle eines Unfalls. Und dann braucht es Tüftler, die den Bordcomputer auswerten, um zu zeigen, dass Tesla sehr wohl darüber informiert wurde. Oder eben einen 'Whistleblower', der das Ausmaß zeigt. Leider ist es immer noch so, dass die Sicherheit der Benutzer nicht an erster Stelle steht.

Schneier on Security — 17/04/2026

Since Anthropic announced that it'll not publicly release its newest Claude Mythos model because of concerns around its capabilities in exploiting software vulnerabilities, I have been searching for a good analysis of this non-release. I wondered whether this was truly responsible disclosure or nothing but a marketing stunt. Bruce Schneier's take on it finally answered this question for me, by going beyond just another opinion and offering a broader discussion on how AI models impact and shape cybersecurity.

The Timeless Investor — 08/04/2026

I took part in this 'fibre rush', and I always emphasise that digitalisation fundamentally requires substantial physical infrastructure. Learning from history can help us to identify patterns that we should take into account during today's AI boom. However, there are also crucial differences: data centres incur significantly higher maintenance costs, and GPUs depreciate much faster than fibre, which has a lifespan of 25 years. The conduits are permanent, and replacing the fibre cables incurs only marginal costs. This reshapes the economics for subsequent owners. While history could repeat itself with another crash, the differences matter: if AI companies go bankrupt, their infrastructure may not be worth acquiring the way fibre assets were, given the higher maintenance costs and faster depreciation.

AI for Automation — 27/03/2026

We're used to the terms "echo chambers" and "filter bubbles" when discussing the dangers of social networks, search engines, and personalized ads. Now, with AI chatbots, a new term joins the ranks: "sycophancy", or telling people what they want to hear. Could sycophantic chatbots be more harmful than social media echo chambers? My gut says yes. People increasingly rely on chatbots and AI-generated summaries rather than web search results or recommendations that may still offer some diversity. So when we talk about AI risks, let's not forget sycophancy, right up there with bias and hallucinations.

Tech Policy Press — 17/03/2026

I strongly believe AI tools that engage citizens directly in shaping policy will be the main engine of future political campaigns. We're familiar by now with stories about AI influencing voters' opinions. What's new here is the use of AI to shape a political party's principles and policies and making such tools open and usable by everyone. Project this onto Switzerland and its direct democracy processes, and their potential is very promising, especially when implemented locally rather than imposed by foreign Big Tech.