We benchmarked Gemini 2.5 on 100 open source object detection datasets in our paper: https://arxiv.org/abs/2505.20612 (see table 2)
Notably, performance on out of distribution data like those in RF100VL is super degraded
It worked really well zero-shot (comparatively to the foundation model field) achieving 13.3 average mAP, but counterintuitively performance degraded when provided visual examples to ground its detections from, and when provided textual instructions on how to find objects as additional context. So it seems it has some amount of object detection zero-shot training, probably on a few standard datasets, but isn't smart enough to incorporate additional context or its general world knowledge into those detection abilities
You are still being incredibly reductionist but just going into more detail about the system you are reducing. If I stayed at the same level of abstraction as "a brain is just proteins and current" and just described how a single neuron firing worked, I could make it sound equally ridiculous that a human brain might be conscious.
Here's a question for you: how do you reconcile that these stochastic mapping are starting to realize and comment on the fact that tests are being performed on them when processing data?
The comment I replied to conceded wrongness and smugness but is still somehow confused why otherwise intelligent ppl dislike the movement. I was hoping to clear it up for them
Extra points for that comment's author implying that people who don't like the wrong and smug movement are unintelligent and protecting their egos, thus personally proving its smugness