Adobe Firefly Video Model: What the 2025 Beta Actually Delivered
Adobe Firefly Video Model analysis: separating beta marketing claims from practical commercial safety and creator workflows.
THE ARTICLE ARCHIVE
AI Technical Articles
Practical guides and independent analysis of AI, cloud, developer tools, and the technology shaping our work.
Strategic Deception in AI: What Anthropic’s Controlled Experiments Actually Show
Anthropic's strategic deception research explained: what controlled experiments reveal about alignment faking in frontier AI models.
AI Bedtime Stories: A Safer, More Useful Workflow for Families
Create AI bedtime-story drafts with fictional details, adult review, practical rewrite examples, and an honest time budget.
MLOps CI/CD That Holds Up: A Reproducible Pipeline from Data to Rollback
A reproducible MLOps CI/CD pipeline protocol: artifact manifests, automated quality gates, continuous training, and rollback designs.
LLM Evaluation That Holds Up: A Reproducible Comparison Workflow
How to reliably evaluate LLMs: a reproducible comparison workflow and worksheet for testing accuracy and task completion times.
ChatGPT Plus vs Perplexity Pro: A Decision Test for Research Workflows
ChatGPT Plus vs Perplexity Pro: a side-by-side decision test comparing research depth, source attribution, and workflow efficiency.
Can DeepSeek and ChatGPT Reason About Civilization VI? A Reproducible Suzerain Test
Can DeepSeek and ChatGPT reason about Civilization VI? A reproducible test evaluating game rule comprehension and state ranking.
Meta’s VideoJAM Explained: Why Motion Coherence Matters in AI Video
Understanding Meta's VideoJAM: why motion coherence, joint appearance-motion modeling, and Inner-Guidance matter for AI video.
Build a Minimal Tool-Calling AI Agent in Python
Step-by-step guide to building a minimal, reproducible tool-calling AI agent in Python with bounded retries and safety checks.
ComfyUI for Non-Developers: A Real txt2img Workflow with KSampler, VAE, and VRAM Checks
A practical ComfyUI guide for non-developers: mastering txt2img, KSampler, VAE decoding, and resolving VRAM bottlenecks.