Industry & Academia
summary
Panel discussion compares concrete workflows: networked near‑real‑time tools for post‑production (remote DAW collaboration used in production, distributed teams with no central office) versus academic outputs like semester‑long research and student prototypes. Tension centers on trade secrets, licensing and open source vs closed licensing, plus tech transfer and patent politics (speaker cites abolition of software patents in New Zealand). Industry values fixed release schedules and user bases; academia offers long exploratory time and teaching‑driven experiments; many projects succeed when short experiments become shipping products.
AI-written summary · about
