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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

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@venturevillagewall · Post #3874 · 01/14/2025, 01:00 PM

Funding Rounds Update: January 2025 In January 2025, notable funding rounds included: - Beams secured $9M for a renovation platform enhancing home planning, design, and building. Learn more - KamiwazaAI raised $8.5M, aiming to revolutionize enterprise AI with 1 trillion daily inferences. Learn more - CyGO Entrepreneurs garnered $5.16M for their business initiatives. Learn more - Oh obtained $4.5M for digital twin interactions. Learn more - Varadise received $3M for AI-driven construction solutions. Learn more - Jinli Intelligence brought in $2.73M for intelligent technology solutions. Learn more - Origami Agents raised $2M for their internet research tracking services. Learn more - Novastro secured $1.2M for their L2 chain applications. Learn more - RePut.ai raised $1M for AI tools. Learn more - Quash garnered $635K to automate bug reporting for developers. Learn more #Funding#Startup#AI#Construction#Tech#DigitalTwin#Automation#Enterprise#Research#Platform#Solutions#VC#Innovations#Web#Data#Efficiency#BugReporting#DigitalTransformation#Kamiwaza#Beams