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Source channel @githubtrending · Post #15314 · Dec 6
#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
Search: #fahrenheit
@googlefactss · Post #40595 · 01/27/2026, 11:00 AM
The temperature -40 °C is the same as -40 °F. This is the only temperature where Celsius and Fahrenheit match exactly. 🌡️❄️ @googlefactss #Temperature#Celsius#Fahrenheit#Science#Facts
@googlefactss · Post #40993 · 04/30/2026, 01:37 AM
Crickets can be used to estimate temperature using Dolbear’s Law. The snowy tree cricket is the best species for this method because its chirp rate closely matches temperature changes. 🦗 Count chirps in 14 seconds and add 40 to estimate the temperature in °F. Crickets chirp faster in warm weather and slower in cold because they are cold-blooded. 🌡️ To estimate temperature in °C, count chirps in 8 seconds and add 5. This method is fairly accurate between 5 and 30°C. 🌡️ To convert °F to °C, subtract 32 and multiply by 0.56. 🥵🥶🦗🌡️ [Read more] @googlefactss #Insects#ScienceFacts#Nature#DidYouKnow#celsius#Fahrenheit If you have ideas or feedback contact us: @Googlefactss_Feedback_bot