- A new open-source federated Keybase-like identity system called “Foks” was announced; participants questioned why it layers a key-value store on Git and whether it is merely a GPG wrapper marketed to non-technical users.  
- The channel debated the statistical validity of GWAS/polygenic scores after the launch of Herasight, a startup claiming to predict IQ and disease risk from embryos; skepticism centered on the 20-year feedback loop versus the counter-argument that early cognitive testing and mechanistic knowledge can shorten validation cycles.  
- Discussion pivoted to genetic engineering versus selection: participants argued that direct engineering of desired traits is preferable to selecting from existing variation, but noted regulatory and patent-expiration risks inherent in long human trials.  
- A concrete proposal emerged to create an AI-driven “wiki-knitting bot” that would: (1) embed entire IRC history with a large model (e.g., Qwen3-Embedding-8B), (2) cluster discussions via t-SNE, (3) auto-generate or update wiki pages with extracted entities, and (4) anchor-link quoted log excerpts for provenance.  
- Practical tooling ideas included semantic vector search over logs, mouse-over link previews, automatic abstract extraction from manuscripts, and color-coding of human vs. bot contributions to track reliability.  
- Participants explored non-human intelligence enhancement as a lower-regulation path: breeding or engineering “uplifted” frogs and birds to create populations of agentic intelligences, with an investor already offering seed funding for a frog-breeding intelligence program.  
- Head-size/IQ correlation was dissected: a cited sibling study (n=1,349) shows a weak 0.19 correlation, but the consensus was that such correlations are irrelevant if an intervention reliably increases intelligence—even if it also enlarges the brain—because engineering is about trade-offs on the Pareto frontier.