AI and the price of FOMO: Innovation without strategy
Fueled by the fear of missing out, many companies have jumped head-first into AI. The pattern is familiar: rushing into deployments, inflated expectations, hurried investments, and returns that fall short of the hype. In this post, we take a step back and look at what history can teach us about making AI work — how to avoid the pitfalls and maximise the chances of real success when bringing AI into business.
Exploring the boundaries of AI
In this post we explore the limits of AI development from two perspectives: a popular-science angle, reflecting on the deterministic nature of algorithms and the notion of intelligence, and a more technical approach, examining the mathematical and computational boundaries that define how far AI can go.
The importance of language in AI
Let us explore the dilemma and possible consequences of using anthropomorphic expressions in the context of AI.
DeepSeek-R1: Another tall tale from China?
In this entry, we explore the key differences between the new DeepSeek-R1 model and the well-established OpenAI-o1, examining its architecture, energy consumption, and overall reliability.
The Turing test – AI and the future of work
In this blog entry, we explore the impact of artificial intelligence on the labour market following its successful passage of the Turing Test.