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What Is AI Agent Security? How Autonomous AI Changes the Attack Surface AI Agent for Cyber Security: What It Does, Where It Fails, and How to Deploy One Safely The Open-Weight LLM Power Map: Who Builds, Funds and Controls the Leading Models Open Source LLM or Just Open Weights? Check the License Before You Deploy Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning Can the Best Open Source LLM Run on a Normal Computer? Our Test Protocol, Published Before the Results What Is AI Agent Security? How Autonomous AI Changes the Attack Surface AI Agent for Cyber Security: What It Does, Where It Fails, and How to Deploy One Safely The Open-Weight LLM Power Map: Who Builds, Funds and Controls the Leading Models Open Source LLM or Just Open Weights? Check the License Before You Deploy Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning Can the Best Open Source LLM Run on a Normal Computer? Our Test Protocol, Published Before the Results
The Forge · Sunday, August 16, 2026
Editorial illustration for What Is AI Agent Security? How Autonomous AI Changes the Attack Surface
AI

What Is AI Agent Security? How Autonomous AI Changes the Attack Surface

AI agent security is not chatbot safety. Once a language model gains tools, memory, credentials, and the authority to act, it becomes a non-human identity with real reach into your systems. This explainer defines the discipline, maps the threat classes, explains why conventional controls are necessary but not sufficient, and gives a practical control checklist covering identity, permissions, approval gates, isolation, validation, logging, and testing.

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Editorial illustration for Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning
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Best Open Source LLM by Task: The Test Protocol for Coding, Research, Writing, and Reasoning

This is an unscored test protocol, not a verdict: no round has been run, so no model is named the best open source LLM here. What the article does give you is a method you can run this week — why aggregate leaderboards mislead, how open weights differ from open source under the OSI's definition, and the full mechanics for coding, research, writing, and reasoning: prompt counts, repetitions, rubric scales, reviewer counts, tie rules, and the run conditions every result must carry.

Editorial illustration for Can the Best Open Source LLM Run on a Normal Computer? Our Test Protocol, Published Before the Results
AI

Can the Best Open Source LLM Run on a Normal Computer? Our Test Protocol, Published Before the Results

NewsForge is testing whether the leading open-weights language models are usable on ordinary consumer hardware — a 16GB Apple silicon MacBook, a mid-range Windows laptop, an 8GB floor case, and a desktop with an 8–12GB consumer GPU. This article publishes the full protocol in advance: test rigs, runner and build identifiers, the five everyday tasks, sampling and run rules, the numeric scoring rubric, and the hypotheses the measurements will confirm or refute. The measurements themselves are…

Editorial illustration for Open Weights or Open Source? How to Audit an LLM Licence
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Open Weights or Open Source? How to Audit an LLM Licence

Many downloadable language models are called open source, but the label covers licences with very different rules on redistribution, commercial use and fine-tuning. This explainer sets out a four-layer openness audit — weights, code, data and rights — explains the licence families you will meet, and gives you one workflow and one scorecard for checking any model against the licence text itself.

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Open Source AI Agents: A Practical Guide to Evaluating Them

Most "best open source AI agents" lists rank projects without disclosing how. This NewsForge guide takes the opposite approach: a transparent evaluation framework covering licence verification, deployment, model support, orchestration, observability, security controls, maintenance signals and operating cost — plus a proof-of-concept plan and a comparison worksheet built to be filled from primary sources.

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Will Cybersecurity Be Replaced by AI? Risks, Defenses, and What Changes Next

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