- A Twitter poll experiment was conducted to test whether large language models can correctly compute 3480 × 57583; the bot Muaddib initially gave the right answer (20,251,740) but then produced nonsensical reasoning, illustrating how models can confabulate explanations even when the numeric result is correct.  
- Participants debated the meaning and origin of the slang term “based,” tracing it from rapper Lil B’s usage (“being yourself without fear of judgment”) to its adoption by Elon Musk for a proposed “truth-seeking” AI that would prioritize verifiable facts and citations.  
- Igor Babuschkin (ex-DeepMind, now working with Musk) was quoted as aiming to “improve the reasoning abilities and the factualness” of language models, positioning the project as a response to OpenAI’s shift from open-source non-profit to closed-source, Microsoft-controlled profit entity.  
- Discussion linked to a BigThink article on psychedelics and intracellular 5-HT2A receptor signaling (https://bigthink.com/neuropsych/psychedelic-interior-5ht2a/) and a freely accessible NIH paper by the same authors (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004607/) exploring how psychedelics may act inside neurons rather than on the cell surface.  
- The channel reflected on the need for AI systems that can explicitly say “I don’t know” instead of hallucinating answers, framing this as a safety feature for future “based” or truth-seeking models.