Technology News
Test-Time Compute and Test-Time Training, Clearly Explained
Why generating or searching longer is different from updating model parameters after deployment—and how to evaluate the cost and risk of each. Read More ›
Latest explainers
Read the complete collection of source-backed explainers about AI systems, digital security, technology policy, and practical technology.
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A Practical Zero-Trust Baseline for Distributed Teams
A product-neutral sequence for protecting identities, devices, applications, secrets, logs, and recovery when work happens outside one network. Read More ›
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How to Test Whether an AI Coding Tool Actually Helps Your Team
A controlled pilot for measuring delivery speed, review load, defects, security, maintainability, and developer experience without rewarding code volume. Read More ›
Technology News
Securing the AI Supply Chain From Model to Production
A practical way to inventory, verify, constrain, monitor, and recover every dependency between an AI model and a production decision. Read More ›
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Open Weights, Open Source, and Open Models Are Not the Same Thing
A practical checklist for understanding what an AI release actually includes, what its licence permits, and whether its results can be reproduced. Read More ›
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AI Agent Orchestration: What It Does and Where It Fails
A practical guide to routing, state, tools, permissions, budgets, observability, and failure handling in single- and multi-agent systems. Read More ›
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Prompt Injection Is a Systems Problem, Not Just a Prompt Problem
Why instructions alone cannot secure tool-using AI systems—and how trust boundaries, permissions, isolation, and monitoring reduce the damage. Read More ›
Technology News
Why Retrieval Quality Often Matters More Than a Larger Model in RAG
A practical method for diagnosing retrieval-augmented generation by measuring search, reranking, evidence coverage, and answer faithfulness separately. Read More ›
Technology News
How to Evaluate an AI Model Beyond Benchmark Scores
A practical framework for testing AI models against real tasks, failure costs, latency, security, and operational constraints. Read More ›