To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.
13dOpinion
Where AI browsers fall short
Unlike regular search engines, AI browsers suffer from algorithmic inconsistency due to their black-box nature — and even ...
Abstract: Graph Neural Networks (GNNs) have demonstrated significant potential in Human Activity Recognition (HAR) by modeling topological relationships in sensor data. However, traditional GNNs ...
Abstract: Knowledge graph completion (KGC) methods aim to predict missing links by learning from existing facts in a knowledge graph. Different from KGC, Temporal Knowledge Graph Completion (TKGC) ...
What if the biggest limitation of artificial intelligence isn’t how powerful the models are, but how well they understand the world around them? In this breakdown, Will Lamerton walks through how the ...
GitHub reveals three practical methods for developers to improve AI coding outputs through custom instructions, reusable prompts, and specialized agents. GitHub is pushing developers to move beyond ...
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