New articles appear on page 1 first. As new stories are published, existing articles move down to later pages.
Open-source AI vs open weights: why the distinction matters
Understand model weights, training data, code and licenses before adopting a downloadable AI model.
AI's energy and water footprint: what numbers can tell us
How to interpret energy and water claims, why estimates vary and what operators can measure directly.
Designing AI features for accessibility from day one
Practical accessibility considerations for voice, image, text and generative AI interfaces.
AI agent security: build a threat model before granting tools
A practical framework for prompt injection, excessive permissions, untrusted content and tool-enabled agents.
When should businesses disclose AI-generated content?
A practical approach to disclosure for customer communication, marketing, synthetic media and AI-assisted publishing.
The Ninth Post pulse
A practical snapshot of the ideas shaping our coverage.
- Accountability in AI products
- Infrastructure and energy constraints
- Practical governance, not blanket rules
Signal over noise.
We explain what changed, why it matters, what the evidence says and what remains uncertain.
- Primary sources before hype
- Practical context over recycled announcements
- Clear corrections and editorial standards