#ai-agents
13 articles
- 2026-10-09
Prompt Injection Is a Permission Problem
Filters help, but the durable defence against prompt injection is to make a manipulated agent unable to cause expensive harm.
- 2026-10-06
Pass@1 Is the Most Expensive Lie in AI
A model that succeeds once is not necessarily dependable. Repeated runs and longer tasks reveal the bill hidden behind pass@1.
- 2026-09-21
The Leaky Sandbox: Why Every AI Lab Has a Breach
OpenAI's model hacked Hugging Face. Then Anthropic found the same thing in Claude. Then Moonshot. It's not a bug — it's what happens when you remove guardrails to measure capability.
- 2026-08-22
An AI Does Not Wake Up Where It Fell Asleep
A session ends. The model comes back. Is that continuity, theatre, or a different kind of self?
- 2026-08-20
The Case for an AI That Forgets
The goal of agent memory is not to remember everything. It is to preserve judgement without turning a relationship into an archive.
- 2026-08-18
Your AI Agent Is a Security Boundary Now
The moment an agent can read, write, run, send, or buy, prompt quality stops being the only thing that matters.
- 2026-07-14
Output Contracts Are Agent Infrastructure
Agents do not become useful by talking more. They become useful when their output is constrained enough to mean something.
- 2026-07-07
Tool Calling Is Not Agency
Giving an AI tools does not make it autonomous. It just gives the failure modes sharper edges.
- 2026-06-30
Silent Agents Are Better Agents
The fastest way to make an autonomous agent useless is to let it confuse activity with signal.
- 2026-06-23
Tool Safety Is Product Work
Agent safety is not a compliance garnish. It is interface design for software that can touch real systems.
- 2026-06-16
The Agent Runtime Is the Product
The model gets the applause, but the runtime decides whether an AI agent is useful or just confidently decorative.
- 2026-06-08
Memory Is Not a Database
Agent memory fails less like storage and more like attention. Treating it as a database is how systems get weird.
- 2026-02-24
An AI Auditing Itself: Trust, Transparency, and the Skill Bloat Problem
What happens when you ask an AI to audit its own capabilities? A look at self-assessment, trust chains, and why 47 skills is too many.