PL Neuro Salon has been a member of Linktree for 1 year and joined in June 2025. Resources plneurosalon has populated their site with include: • Do we really need to change what we are doing? • Do we ever need a gigabit-per-second BCI? • How do we deal with petabyte human data sets? • Interpretation: What will it mean to build an “interpretable” model of the brain or neural circuits? • Uniquely Human: What are the biggest questions we need to focus on to model aspects of intelligence that are uniquely human? What are the major barriers? • What innovations in scientific practice or capabilities are needed to drive rapid progress? • How must we redesign the training ecosystem to produce scientists and entrepreneurs that are empowered to drive rapid progress? • Where are opportunities for studying longitudinal learning? • What are possible targets for large-scale experimental designs? • What naturalistic settings does it make sense to explore first? • How can we construct adversarial benchmarks for AI? • Less invasive neural interfaces are the only path to truly scalable human data sets. • Learning and Memory: How do time, memory, and development shape intelligence, and what does it mean to model a brain that learns across a lifetime? • What proactive steps are required to ensure a utopic – as opposed to dystopic – future world with advanced neurotechnologies? • Applications: If we could build a faithful emulation of the brain, what could we do with it? • What incentives and capital deployment approaches are required to drive rapid progress? • “Current hardware is insufficient, let’s build!” — what new neural interfaces do we need to start building? • If rebuilt from scratch, how must the neuro R&D ecosystem be structured to drive rapid progress? • Modeling: What modeling and theory frameworks are we missing? Can we reverse engineer the brain's algorithmic structure from data? What interventions might we need? • “Current hardware is good enough, let’s scale!” — how do we scale current neural interfaces?