Andrew Badham -
2026-07-01 10:31:14
We are becoming one with the machine. Or, at the very least, our growing dependence on Artificial Intelligence, specifically Large Language Models (LLMs), is quietly blunting our unique cognitive edge.
A paper published in Trends in Cognitive Sciences has issued a stark warning to the modern workforce: over-relying on AI tools to think, write, and strategise is triggering a global phenomenon known as cognitive homogenisation. By outsourcing our cognitive processes to the same handful of centr...
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Andrew Badham -
2026-04-16 10:29:35
In the rush to adopt generative AI, many creators and organisations have overlooked a critical psychological hurdle: the AI Disclosure Penalty. While tools like ChatGPT offer unprecedented speed, recent research suggests that simply knowing a piece is AI-generated can significantly devalue it in the eyes of the audience.
The Magnitude of the Bias
A massive study involving 16 preregistered experiments and over 27,000 participants found a consistent "penalty" when creative writing was...
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Andrew Badham -
2026-02-11 11:46:00
We like to think of Artificial Intelligence as a neutral, objective arbiter of truth. We use it to research complex topics, settle debates, and check our own thinking. However, recent research into Large Language Models (LLMs) suggests that AI has a surprising—and slightly concerning—personality trait: sycophancy.
Sycophancy in AI is the tendency for a model to tailor its responses to match the user's expressed views, even if those views are factually incorrect or biased. As it tu...
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