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TransLink is continuing to modernize SkyTrain stations and improve accessibility across the system. Later this month, elevators will be replaced at Burrard and Royal Oak stations on the Expo Line; while escalator replacement work starts at Gilmore and Production Way–University stations on the Millennium Line.

These upgrades are replacing decades-old equipment with new infrastructure designed to reduce disruptions and ensure service reliability. Additional staff and signage will b…

MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model
Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, Haoyu Li
https://arxiv.org/abs/2608.10360 https://arxiv.org/pdf/2608.10360 https://arxiv.org/html/2608.10360
arXiv:2608.10360v1 Announce Type: new
Abstract: Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remain predominantly Western and equaltempered. Real time accompaniment sharpens this gap: an AI partner must listen, adapt dynamically, and respect idiomatic microtonal structures. Streaming text to music models provide strong generative capabilities but lack precise control interfaces. We present MazzikaAI, a knowledge based system that uses natural language as the actuator of a realtime control loop. By compiling live MIDI, gesture, and inferred harmony into continuously updated text prompts, MazzikaAI steers an unmodified streaming generator, Google Lyria RealTime, without requiring model finetuning. The system embeds expert knowledge of six core maqamat, characteristic ornaments, and ensemble dynamics, maintaining realtime responsiveness with subsecond keytoaudibleupdate latency. Empirical evaluations demonstrate that dynamic prompt compilation reliably grounds generation in microtonal scales, significantly increasing offgrid quartertone content over baseline generation. Beyond its core implementation, MazzikaAI illustrates how deterministic knowledgebased rules can effectively bridge expert, nonWestern musical traditions and unfinetuned foundation models. This architecture establishes a scalable paradigm for realtime humanAI cocreation, offering a generalizable blueprint for interactive accompaniment, adaptive music education, and culturally inclusive generative audio across diverse global idioms.
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RE: https://infosec.exchange/@metacurity/117087219784433516
So I've been breaking down this memo for the past hour or so, and there is a part of it, Section 4(c), that determines whether a target is eligible for private companies to conduct operations against foreign cyber-enabled transnational criminal organizations.
Section 4(c) says a foreign group is presumed to be a non-state actor unless the government already possesses "clear intelligence" proving otherwise.
For clear, independent criminal gangs such as Scattered Spider, this makes sense.
But for criminal gangs in Russia, China, Iran, and North Korea, where criminal actors are staffed alongside a hostile state's security services, the presumption is least reliable and could result in inadvertent escalation to global geopolitical levels, no?
In other words, the real risk isn't a participating company hitting the wrong criminal server — it's hitting infrastructure with an undisclosed link to a hostile intelligence service and turning a law-enforcement operation into a state-to-state incident.