- A public Google spreadsheet cataloguing “AI surprises” (goal mis-generalisation and specification-gaming examples) was shared at http://tinyurl.com/goal-misgeneralisation, with a companion sheet focused on genetic-algorithm and ALife unintended behaviours also referenced.  
- A North Carolina study reported that the common sweetener sucralose (Splenda) is metabolised into a fat-soluble genotoxic compound that accumulates in tissues, damages intestinal tight junctions and symbiotic microbiota, and may raise long-term cancer risk; discussion weighed relative risk versus sunlight and cumulative exposure.  
- Participants debated how to allocate a hypothetical US $40 k: options included a house down-payment, purchasing a single NVIDIA H100 GPU, splitting the money between a cheaper GPU and housing, or renting cloud-GPU time instead of owning hardware.  
- A speculative weather-control concept was outlined: using high-altitude UVC mirrors to heat the stratosphere, locally enriching ozone and thereby reducing surface UVB; participants noted the need for small-scale physical or GPU-based ray-tracing simulations to validate fluid-dynamics and energy-balance models before real-world trials.  
- Links to recent technical literature were posted: an arXiv paper on protein-structure prediction and molecular design with large language models (2306.00872) and a Towards Data Science overview of LLMs in molecular biology.  
- Security concerns were raised about integrating modern AI into legacy software ecosystems, with “prompt-injection attacks” highlighted as an under-appreciated threat vector when 1990s-era security postures are “turbocharged” by large language models.