Bruce Schneier proposes a new term: promptware.
Bruce Schneier proposes a new term: promptware. Prompt injection attacks have morphed into complex, persistent, multi-stage attacks. Not unlike traditional malware ...
Topic: bruce schneier
6 chunks · 4 episodes
Topic summary
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A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
- bruce schneier appears in 6 chunks across 4 episodes, from 2025-07-07 to 2026-01-19.
- Its densest episode is Bits and Bobs 7/7/25 (2025-07-07), with 3 observations on this topic.
- Semantically it travels with prompt injection attack, llms, and quantitative scale, while by chunk count it sits between boundary gradient and dynamic equilibrium; its yearly rank moved from #153 in 2025 to #132 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Bruce Schneier's excellent Seeing Like a Data Structure:
Bruce Schneier's excellent Seeing Like a Data Structure: "The ability to see like a data structure afforded us the technology we have today. But it was built for an...
Bruce Schneier on prompt injection: "We need some new fundamental science of LLMs before we can solve this."
Bruce Schneier on prompt injection: "We need some new fundamental science of LLMs before we can solve this."
Your AI assistant isn't your friend.
Your AI assistant isn't your friend. It's a double agent. This comes from Bruce Schneier's excellent AI and Trust.
Bruce Schneier points out that LLMs will bring mass spying.
Bruce Schneier points out that LLMs will bring mass spying. Before, we had mass surveillance, but a human sifting through the collected data happened rarely. That l...
Doug Shapiro: Trust is the new oil.
...ill have to be rooted in in-person interactions that are known to be authentic. Bruce Schneier's focus on integrity is important here.