No – instruction hierarchy doesn't close the hole completely, it's always possible for the user instructions to override the system instructions if they use the right tricks
PROMPT ENGINEERING
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Grok 4 Fast: Feedback Wanted for Model Improvements
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We’d love to hear your feedback on Grok 4 Fast. The team will be incorporating your responses into continuous model upgrades, so please be vocal on X. If you want to push the limits of reasoning efficiency, please join us!
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10 Ways Claude Outperforms ChatGPT for Productivity
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Claude is a productivity powerhouse if you know how to use it right. Most people only know about ChatGPT, but Claude has some features that you won't find in ChatGPT like it can handle massive context, refine drafts, and even simplify complex ideas for any audience. Here are 10
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Ray3 Struggles with Baseball Batter POV Video Generation
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watching ray3 try to get this right is almost endearing…
— Matt Shumer (@mattshumer_) 19 septembre 2025
prompt: "Batter's POV at a MLB game. A pitch is thrown, but it's going to hit the batter, so he drops to the ground." pic.twitter.com/KAFwJZhvXawatching ray3 try to get this right is almost endearing… prompt: "Batter's POV at a MLB game. A pitch is thrown, but it's going to hit the batter, so he drops to the ground."
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Agent Training Requirements: Task-Specific Development Like Employees
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An agent must be trained for a specific task, just like human employees.
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Feed Agents Consistent Relevant Data for Smarter Operations
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Feeding your agent a consistent stream of relevant data helps them operate smarter.
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How to Ensure ChatGPT Recommends Your Products
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He publicado un episodio en @ivoox
: "Cómo Asegurarte de que ChatGPT Recomiende Tus Productos #podcast -
New and Emerging AI Roles to Watch According to Gartner
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New & Emerging AI Roles to Watch (Gartner) AI Architect – Designs scalable AI systems from end to end. Data Scientist – Extracts insights and builds predictive models. ML Engineer – Develops, tests, and deploys machine learning pipelines. Prompt Engineer –
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Memory in Agent Context Engineering: Beyond a Simple Tool
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self correction – Simon does address memory. my assertion is that "memory is just another tool" is what people who aren't very serious about memory say. the memory side is as important a part of the context engineering as the goal setting, with a lot of agent builders i talk
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Proposing ‘as a tool’ as alternative terminology to ‘agentic’
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Also, instead of "agentic", we could say "as a tool". e.g: "agentic search" -> "search as a tool"