Build, Rent, Or Quantize: Cutting Your Memory Bill Without Cutting Capability
Exploring how AI practitioners can cut memory expenses via building, renting, or quantizing models, with a focus on recent advances and strategic choices.
A Skill Is a Folder, Not a Prompt: What Anthropic Learned Running Hundreds of Them
Anthropic reveals that ‘Skills’ are folders containing instructions, scripts, and assets, transforming AI prompt engineering into durable organizational assets.
Kill-Switch-Proof: How to Build So Washington Can’t Take Your AI Stack Down
Experts outline strategies to prevent government shutdowns of AI models, emphasizing dependency mapping, abstraction layers, fallback tiers, and open-weight models.
The Eye Over The City: How Wide-Area Motion Imagery Works — And Where It Goes Blind
An in-depth look at how Wide-Area Motion Imagery (WAMI) works, its applications, limitations, and future developments in citywide surveillance technology.
A Skill Is A Folder, Not A Prompt: What Anthropic Learned Running Hundreds Of Them
Anthropic reveals that effective AI skills are folders containing instructions, scripts, and assets—transforming organizational knowledge into reusable units.
The Delegation Ladder: The Four Agentic Loops, And What Each One Lets You Stop Doing
An analysis of the four agentic loops in AI engineering, explaining how each enables different levels of automation and control, and what each allows you to stop doing.
