#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
Choc Chip Banana Bread ✨🍌🤎
Ingredients:
* 3 large ripe bananas (360–380 g)
* 130 g unsalted butter (will reduce to \~115 g once browned)
* 180 g dark brown sugar (+ 1–2 tbsp for topping)
* 2 large eggs
* 250 g plain flour
* 1 tsp baking soda
* ½ tsp salt
* ½ tsp cinnamon
* 70–100 g dark chocolate, chopped
* Optional: chopped nuts
#dinner
@dishes
My Kind of Girl Dinner 😮💨🍚🥒
Ingredients:
For the salmon:
* 2 salmon fillets (skin removed, cut into cubes)
* 2 tbsp soy sauce
* 1 tbsp oyster sauce
* 1 tsp brown sugar
* 2 tsp minced garlic
* 1 tbsp sriracha
* ¼ tsp chili flakes
For the rice & toppings:
* 100 g sushi rice (cooked)
* 1 tsp apple cider vinegar
* ½ tsp salt
* ½ tsp sugar
* Pinch of chili flakes
* ¼ cucumber, thinly sliced
* ¼ small onion, thinly sliced
* Handful of edamame (cooked)
* Black & white sesame seeds, for topping
#dinner
@dishes