The Economist:
Then it was the computer’s turn. The researchers fed their recordings to artificial-intelligence models that had been trained, using sound samples from elsewhere in Ecuador, to identify 75 bird species from their calls.
“We found that the AI tools could identify the sounds as well as the experts,” says Dr Müller.
https://www.nature.com/articles/s41467-023-41693-w
In the next step, we applied an independent artificial intelligence model for bird species identification, developed and trained in the region of our study prior to our sampling.
Despite the model identifying only ~25% of species detected by the experts in our data, the model-derived first community axis was the single best predictor for expert-derived community composition.
There are several recent papers about this work, one that focuses on the bird <-> insect connection, another that looks at the AI utilisation to identify birds.
It appears that as of now the AI isn't as good as identifying birds as experts, only being trained to recogise a quarter of the vocalisations, however that's enough of a bird sample to get a reasonable estimate on the insects.
I strongly suspect (I lack the smoking gun) that The Economist has just sourced "quotes" provided in the full university presser (the Press Release pack they send out).
See, the lesser presser about the AI work: https://www.uni-wuerzburg.de/en/news-and-events/news/detail/...
and a presser about some of the insect work: https://www.uni-wuerzburg.de/en/news-and-events/news/detail/...
There are multiple studies and multiple papers stemming from this project:
https://www.biozentrum.uni-wuerzburg.de/en/ecological-statio...
and there'll likely be bigger press packs not directly public web hosted for newspaper journalists to pick from.