The AI Understanding Blog

Clear thinkingabout AI.

Original essays on using AI well — how to judge tools, read benchmarks, give models better context, and build real literacy. Plain English, no hype, no jargon.

Source-page capture accompanying Anthropic CEO calls for slower AI progress and embedded safety evaluatorsLatest
AI Literacy

How to tell whether an AI safety promise is real

AI companies increasingly promise monitoring, safeguards, and responsible deployment. Here is a practical framework for judging whether those promises create evidence, accountability, and meaningful limits.

· 7 min read · AI Understanding Editorial Team
Essays

More in AI Literacy

Evergreen writing meant to stay useful long after this week's model launch is forgotten.

Source-provided image accompanying IJM launches RM18 million AI traffic control centre for three Malaysian highways
AI Literacy

When AI becomes public infrastructure, what should we ask?

AI is moving from chat windows into highways, government offices, military records, and workplaces. A practical framework for judging these systems by their evidence, limits, permissions, and effects on people.

· 8 min read
Source-provided image accompanying New York City combines K–8 AI ban with screen-time guidance
AI Literacy

What should schools teach when AI access rules keep changing?

School bans can limit immediate risks, but they cannot replace judgment. A practical framework for teaching students when to use AI, when to question it, and when to leave it out.

· 9 min read
Source-provided image accompanying Constrained LLM system reports safer kitchen-robot manipulation in small physical tests
AI Literacy

When should an AI system stop, ask, or hand off?

Reliable AI is not just about producing good answers. It is about recognizing uncertainty, checking evidence, and knowing when a response should not become an action.

· 7 min read
Primary-source image accompanying NVIDIA announces Jetson Orin Nano 2 for entry-level edge AI
AI Literacy

Does local AI make your data safer?

Running an AI model on your own device can reduce exposure to outside services, but it does not automatically make the system private, reliable, or safe. Here is a practical framework for judging the tradeoffs.

· 9 min read
An empty office IT workspace with a closed laptop, network equipment and filing cabinet in early morning light, evoking the systems behind stateful business workflows.
AI Literacy

When should you trust an AI agent with real work?

An AI agent is not dependable just because it succeeds once. Here is a practical framework for judging its reliability, permissions, security, and readiness for real-world tasks.

· 8 min read
A learner following a pathway through the foundations of AI literacy
AI Literacy

What AI Literacy Means in 2026 (and a 30-Day Plan to Get There)

AI literacy is not coding and it is not prompt tricks — it is judgment. A four-part definition and a realistic 30-day plan built on free resources.

· 6 min read

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