- The channel debated the obsolescence of jcline’s “biology protocol text-to-code grammar compiler” and the book “Computational Recipes,” noting that large-language-models have superseded these earlier attempts to automate lab protocols.  
- A Bloomberg opinion piece (archive link) was shared arguing that stablecoins will reinforce U.S. dollar dominance for another century, framing crypto as a geopolitical tool rather than a challenger to fiat.  
- Participants sought—and then crowdsourced—a “local-LLM leaderboard” that would rank models by an integrated score combining hardware cost, model size, benchmark performance, tokens-per-second throughput, and community preference.  
- fenn provided a curated list of active LLM leaderboards: Open-LLM Leaderboard, BigCode-Bench, Aider code-editing scores, UGI-Leaderboard, Chaiverse, the Hallucinations Leaderboard, AlpacaEval, and LM Arena (with “Hard prompts (English)” highlighted as most informative).  
- Discussion converged on ~30 B parameters as the current sweet spot for locally-run models, but noted a scarcity of new releases in that range, forcing users toward 70 B-class models.  
- A $30 Colmi smart ring was showcased as a DIY quantified-self platform; a Hugging Face blog post (linked) documents initial Bluetooth pairing and UI work for open-source health-data analytics.