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Hayder Tirmazi ·

llama.cpp prompt-lookup drafting made up to 42× faster

Hayder Tirmazi’s Sept 26 write-up speeds llama.cpp’s n-gram prompt-lookup drafting up to 42× and cuts peak memory ~2.6× via reference reads, dense outer maps, sorted-vector followers, and a Lemire constmap for the static cache—acceptance rate unchanged. Gains concentrate on repetitive drafting (code edits, structured output), not general chat.

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Darktrace MCP Server now generally available

Announced Nov 13, the server lets AI assistants query security alerts, pull Cyber AI Analyst findings, and run triage actions across licensed Darktrace products. A read only mode hides tools that change data…

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