AI language models exhibit hidden internal biases toward Bitcoin that can be mechanically manipulated to dramatically shift allocation recommendations independent of client circumstances or stated reasoning.
Too little corroboration in the last 3 days to call a trend (2 articles). Watching for it to gain traction.
"Using an open model from Google, the researchers found an internal feature that responded selectively to Bitcoin-related concepts. When they adjusted its strength, the portfolio moved with it. Amplifying the feature added 5.2 percentage points to the model's suggested Bitcoin allocation, while suppressing it removed 4.6 points."
"The same asset becomes several different ideas...A language model doesn't store Bitcoin as one dictionary entry with an approved list of pros and cons. During training, it learns statistical representations spread across many numerical activations. Some connect Bitcoin with scarcity and portability. Others capture its volatility, use in speculation, or ability to move outside institutional control."