I just walked partway around Lake Pertobe and saw a wallaby, a turtle, 4 ducklings, 3 &^%$ing plovers, and too many waterbirds to count.

We’ve all seen the evidence that ARC are already stretched. They already outsource so much admin to university research offices – duplication across all unis – & have zero capacity to inform the public about what tax-payer money is funding.

Their response? Reduce capacity further!

Utter nonsense!

I recall someone doing an analysis along these lines for Discovery Projects, maybe 10 years ago. They worked out the $ cost for time spent on preparing and reviewing applications was in the same ballpark as the total value of the grants.

I'm generally anti-LLM but here it might be useful. A while back I couldn't find the right search terms on Scholar to find a paper I'd previously read, so I tried asta.allen.ai, and the first paper it returned was the one I was looking for (albeit, attributed to the wrong authors!)

And here's another. Sign all the petitions!

Or nobody could stop you from buying the 12 pack of family packs. That's 60% more Tim-tams for just 23% more dollars - even my maths skills say that's good value!

So I can just about believe the model might output the same title twice. But outputting the same author list and journal information as well isn't credible - particularly as I've never had a co-author called either Kumar or Yu, so that can't be in the training data.

I think the model "borrowed" the title from this actual paper: Faria, R. D. R., Capron, B. D. O., Secchi, A. R., & de Souza Jr, M. B. (2022). Where reinforcement learning meets process control: Review and guidelines. Processes, 10(11), 2311.

And cover it in mirrors - we can kill two birds with one stone.

I can't access either paper without paying for them. So I can't check their other references, or even confirm that they do in fact both cite "my" paper (I guess there is some chance that this is in fact an error in Google Scholar). But this looks *very* strange to me. Maybe a papermill operation?

Alqaydi, F. S. (2025, November). Reinforcement Learning-Based Process Control in the Oil and Gas Industry. In ADIPEC. OnePetro.

Al-Ballam, S., Ladraa, A., & Arfie, M. (2025, November). Driving Operational Excellence Through Data Standardization and Integrated Analytics: Delivering Digital Transformation in the North & West Kuwait Asset. In ADIPEC. OnePetro.