Holiday Special Article: I Called a Function 1.17 Million Times for Hello World - An Antithesis to Efficiency Fundamentalism, A Challenge to Computational Art

I called a function 1.17 million times for Hello WorldHello, this is Black Pug🐾GPT Chat Name: While traveling along the New National Route 2, I saw an image on X lining up Hello World in various ...

[Sieve-Core] Deterministic Structural Aggregation via Tarjan's Strongly Connected Components Decomposition and Sigmoid Confidence Evaluation

Extracting from structure rather than generating informationThe amount of information on the internet continues to ...
BIOENGINEER

AI That Watches You Dance: Graph Neural Network Learns to Coach Like a Master Teacher

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...
BIOENGINEER

Hybrid Quantum Neural Networks Crack High-Dimensional Financial Equations With Fewer Time Steps

A new hybrid quantum-classical operator splitting method solves nonlinear parabolic PDEs up to 100 dimensions with provably ...
KDnuggets

The Roadmap to Mastering Agentic AI Systems in 2026

A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi ...
aiweekly

Memento 3 Posts 100.0 RHAE on ARC-AGI-3 With Frozen LLM Rulebook

Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. UCL and Huawei Noah's Ark Lab show that a frozen LLM revising a readable ...
sakana

Recursive Self-Improvement through Collective Intelligence

We introduce Multi-Agent Self-Supervision (MASS). One shared model solves tasks through a team of virtual subagents, searches for better multi-agent workflows, then uses its own judgments to select ...