#python#brain_inspired_ai#deep_learning#large_language_models#reasoning
The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems.
https://github.com/sapientinc/HRM
#Policy_Brief: Coercion Over Consent: #Ethiopia’s dangerous mandatory Digital ID experiment
In this policy brief, Mohamed A. argues that Ethiopia's mandatory Digital ID (#Fayda) is a "flawed and dangerous policy," not because identification itself is problematic, but because enforcement lacks legal safeguards. He emphasizes that centralizing sensitive data risks turning governance into a tool of "surveillance, control, and exclusion."
According to him, Ethiopia is "importing the concept as if it were a proven model." In Ethiopia's fragile institutional context, this amounts to "recklessness disguised as modernization," especially with foreign funding raising unresolved questions about "who controls the data."
The author urges authorities to "pause enforcement" until trust and oversight are established, arguing that without them, mandatory ID is "not progress—it is a poorly designed and dangerous policy."
https://addisstandard.com/?p=54995
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