Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
injection attack appears in 23 chunks across 20 episodes, from 2025-02-18 to 2026-08-31.
Its densest episode is Bits and Bobs 6/2/25 (2025-06-02), with 2 observations on this topic.
Semantically it travels with wild west, Gemini, and GitHub, while by chunk count it sits between black box and qualitative nuance; its yearly rank moved from #47 in 2025 to #48 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2025-02-18 to 2026-08-31Mean1.1 per episodePeak2 on 2025-06-02
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 23 observations sorted from latest to earliest.
...rompt injection stored in your context is a persistent prompt injection.
Prompt injection attacks that can embed themselves in your personal stored context might never be found.
Echoes of the classic Reflections on Trusting Trust.
...w months.
In the past, only a small number of engineers had to think about code injection attacks, where untrusted code runs with access to trusted resources.
Typically only people writing operating systems, or eval'ing untrusted code had to care...
LLMs make it so any text is "executable," so a possible injection attack.
This is because it allows english to be converted, explicitly or implicitly, to "executable" code as instructions for it to follow.
By default, the ...