TREE NEWS update: Qwen Office assisted a research team at the National Astronomical Observatories of China (NAOC) in building a digital simulation system for large-aperture research-grade telescopes, completing the work in just three days at a cost of under 1,000 yuan. The system simulates real telescope components and observing conditions, letting an Agent drive the telescope for remote situational awareness and observation-flow simulation. Data from the system will later be used to train a telescope control model (VLA). Such systems typically take about three months and cost tens of thousands of yuan when built by software vendors.
Qwen Office Helps NAOC Build Telescope Simulation System in 3 Days
AI take
The headline number is cost and time, but the more consequential detail is that the output is training data for a telescope control model. That reframes AI-assisted coding from a productivity story into a data-generation story: the simulation exists to feed a VLA, not merely to save a vendor contract. If research institutions can spin up domain-specific simulators at this cost, the bottleneck shifts from software budgets to whether the resulting synthetic data actually transfers to real instruments. Whether such builds stay one-off experiments or become standard lab practice is the open question.
Generated by AI for reference only.
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