• Counter Culture Labs was spotlighted in a PLOS blog post as a working example of “DIY-Together” open-source biology, reinforcing the channel’s push for citizen-run wet-lab infrastructure.  

• Senolytic therapy moved from theory to experiment: participants cited the 2015 Aging Cell paper showing dasatinib + quercetin clears senescent cells and extends healthy lifespan in mice, while debating quercetin’s standalone efficacy.  

• A long thread weighed the limits of “data-center brains,” concluding that purely electrical BCIs ignore neurotransmitter, calcium, and other non-electrical signaling; an optical alternative—fiber-optic links to optogenetically sensitized neurons—was proposed as a high-bandwidth, reconfigurable “extra dimension” for cortical communication.  

• A genetic-modification wiki entry was updated with cautions on the ANKK1 Taq1A (rs1800497) allele: it boosts working-memory training gains but also raises risks of addiction, personality disorders, and Parkinsonian symptoms.  

• Russell Hanson’s two-page Cosyne 2013 abstract (http://russellhanson.com/web/Cosyne-2013-Abstract-FINAL.pdf) outlines a gold-nanoparticle receptor-labeling scheme for nanoscale neural-circuit mapping.  

• CRISPR germline editing discussions referenced a Nature Genetics paper (http://www.nature.com/ng/journal/v46/n11/full/ng.3097.html) showing 697 common variants explain only ~20 % of adult-height heritability, underscoring the polygenic challenge for trait selection, while Marginal Revolution posts argued for subsidized access rather than bans, citing Sweden and Singapore’s IVF policies.  

• A Journal of Neural Engineering paper (http://iopscience.iop.org/1741-2552/9/5/056012) was circulated describing a primate prefrontal-cortex neuroprosthesis that restores cognitive function by decoding minicolumn-specific firing patterns.  

• Visualization tooling debates concluded that auto-generated call graphs rarely help; instead, manually curated, domain-specific graphs (e.g., Salt state dependency trees rendered with networkx, pydot, or gephi) can provide actionable insight into infrastructure change propagation.