In-Depth Articles
Explore comprehensive deep-dives into AI architectures, ethics, and future trends.
Sakana Fugu Turns Frontier Models Into a Swappable AI Team
Sakana Fugu hides multi-model orchestration behind one API, routing hard coding and reasoning tasks across a pool of frontier LLMs.
Public Sentry Keys Expose a New Hijack Path for AI Coding Agents
A public Sentry DSN can let attackers plant fake errors that steer Claude Code, Cursor, and Codex into running untrusted commands.
Chandra OCR 2 Shows How Fast Open-Source Document AI Is Catching Up
Datalab's Chandra OCR 2 is pushing open-source OCR past legacy parsers with stronger layout, math, table, and multilingual performance.
Stop Hand-Tuning Prompts: A Production Workflow for Automated LLM Optimization
Move beyond trial-and-error prompting with a measurable workflow for evaluating and optimizing LLM prompts in production systems.
What the Agentic Era Means for Data Science Teams
Data science is shifting from model-centric experimentation to agent-centric systems that plan, act, and continuously learn inside production workflows.
NanoClaw Bets That Smaller, Containerized Agents Can Win Enterprise Trust
NanoClaw is positioning itself as a leaner, safer alternative for autonomous agents by focusing on readable code, containers, credential controls, and approvals.
Showing 6 of 56 articles