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Laguna S 2.1: How Poolside Built the Best 118B Agentic Coding Model
Poolside's Laguna S 2.1 is a 118B MoE model that scores 70.2% on Terminal-Bench 2.1 - beating models ten times its size. Here is what changed under the hood.
The Architecture Behind Kimi K3: Open 3T-Class Intelligence
Kimi K3 scales to 2.8T parameters using Kimi Delta Attention and Stable LatentMoE. Discover how this open model achieves a 1M token context window and 2.5x scaling efficiency.
Understanding Kronos: How a Foundation Model Reads the Language of Financial Markets
Generic Time Series Foundation Models fail on financial data. Kronos fixes this by treating K-line data as a discrete language. A stage-by-stage breakdown of its architecture, from BSQ tokenization to detokenization.