Tools

AI engineers increasingly call APIs rather than train models, making environmental impact harder to track. Here's how to measure it systematically.

A browser agent scored 31 to 57 with the same model after fixing coordinate, parsing, and feedback bugs. Spotting faults and recovering from them proved to be s

Moonshot AI's Kimi K3.1 Pro offers a 1M-token context window and near-frontier coding performance. Here's how it compares to Claude Opus 5.5 and GPT-6 Astra.

Speculative decoding delivers 2–3x faster LLM inference with no quality loss. Here's how the draft-and-verify loop works and how to use it.

Conformal prediction adds uncertainty intervals to ML predictions. Learn how to apply it step-by-step using Python and the UCI Online Shoppers dataset.

World models are a fast-growing AI research area. These five resources take you from RL fundamentals to modern architectures like Dreamer and Genie.

Feature Election lets federated learning sites vote on which features to keep using local selectors, without sharing any raw data rows.

Marimo is a reactive Python notebook that auto-updates cells and runs as a shareable app. Build interactive dashboards with Pandas and Altair.

Build a fully local, zero-cost agentic AI workflow using Hermes Agent and Ollama. Keep your files, code, and conversations on your own hardware.

DeepSeek Harness is an open-source agent runtime where every layer is a plugin. Here's what it actually does and who should care.

Google bid $10M for Spirit Airlines' emails and internal messages. Here's how to estimate what your own operational data is worth.

Learn how vector databases work by building one from scratch using Python and NumPy in ten incremental steps. No GPU or API key required.