Do Sciences Need Humans?

About As we enter an era of automated scientific discoveries and compute-driven scaling that were non-trivial even a few months or years ago, the question becomes about understanding and ownership of work that can progeny other inspirations and create clusters in the knowledge graph. So the question becomes: when science is getting automated, what happens to the next generation of scientists? We want to explore the tools and paradigms that we need to think about to build a cohabitable existence in the face of such change. What to expect What to Expect: You can look forward to deep discussions and explorations centered on a grounded view of the automation era we are heading into. The main theme focuses on deep sciences—especially intersections involving physical simulation where verification remains exceptionally hard—as well as areas in mathematics and formal proofs where automation is still far from achievable, all while leaving ample room for open discussion and collaborative exchange. Host Semiqlassical, Inc Check us out at : semiqlassical.tech