In which we muse at the tendency of flattening the complex into the complicated, making it even harder to nudge the kind of systems we desperately need to learn to influence.
In which we investigate the tendency of large language models to convincingly make s**t up and what it might mean for the nature of cognition.
In which we smash a paper written 53 years ago with the latest advancements in deep learning for language modeling and try to interpret the byproducts…
In which we revisit the need for nuance around data modeling that aged well a full decade later and comment on how it's harder to ignore these issues…
In which we look into fundamental bottlenecks in the scalability of wide spectrum data integration and what research areas remain largely unexplored 17…
In which, 16 years later, we look again into the tension in information systems between the emergence of structures and the desire for order and…
In which we look at how emphatic discourse can be perceived by some as a sign of mental rigidity but not by others. And what can happen when we don't…
In which we look under the hood of state-of-the-art privacy technologies and discover moral nuances that are often too subtle to survive into the public…
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