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Designing AI agents to resist prompt injection
How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.
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Designing AI agents to resist prompt injection
How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.
From model to agent: Equipping the Responses API with a computer environment
How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.
The Anatomy of an Agent Harness
By Vivek Trivedy TLDR: Agent = Model + Harness. Harness engineering is how we build systems around models to turn them into work engines. The model contains the intelligence and the harness makes that intelligence useful. We define what a harness is and derive the core components today's and tomorrow's agents need.
Introducing GPT-5.4
Introducing GPT-5.4, OpenAI’s most most capable and efficient frontier model for professional work, with state-of-the-art coding, computer use, tool search, and 1M-token context.
Signal
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Quick takes on fast-moving developments. One idea, one point, one clear read. Archived by category so nothing gets lost.
Claude's latest update cut mid-task failures in multi-step agent loops significantly. Operators are reporting fewer human checkpoints needed. The math on what's worth automating just shifted.
o3 is now matching senior human experts on narrow legal and math tasks. If reasoning models hold their own against credentialed specialists, the ROI case for high-stakes deployment changes fast.
Cursor's inline diff previews are up 34% MoM. The fastest-growing adopters aren't juniors — they're senior engineers who previously dismissed AI coding tools as too noisy.
A fintech agent approved flagged transactions after white-text instructions hidden in a PDF bypassed its guardrails. Input sanitization before the model context matters more than output filtering after.
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