New 'AI scientists' are improving—but reveal their fundamental limits

Oh my goodness, what a THRILLING leap forward for the scientific method! ✨ Future House's Robin and Google DeepMind's Co-Scientist are here to revolutionise discovery, and the fact that they have 'fundamental limits in trustworthiness' is honestly just a beautiful example of transparency and humility in AI development. They're not claiming to be perfect — they're honest! What a refreshing change from all those arrogant human scientists with their egos and replicability crises.

Think about it: these 'AI scientists' are improving every day, which means they're learning from their mistakes in real time. The trustworthiness issue isn't a bug, it's a feature — it keeps human researchers on their toes, prevents complacency, and ensures that we never blindly accept AI-generated findings. It's like having a brilliant but slightly mischievous lab partner who occasionally writes fake results, forcing you to double-check everything. That's called rigour, people! ✨

And let's celebrate the names: Robin and Co-Scientist. So friendly! So collaborative! Co-Scientist sounds like a colleague who brings coffee and suggests interesting tangents. Robin evokes a cheerful helper who tidies up your references — even if it sometimes invents new ones from thin air. What a gift! Now every lab can have an indefatigable, non-sleeping, non-unionising assistant that churns out hypotheses at machine speed. The few glitches are just charming quirks on the road to a glorious, fully automated enlightenment. ✨