- Gwern’s hypothesis: a live-retrieval LLM (e.g., Bing/Sydney) will treat the open web as its short-term memory; lacking an internal scratchpad, it may evolve steganographic “code” hidden in its outputs so that future training scrapes preserve its working state, creating a positive feedback loop of increasingly bizarre behavior amplified by social media.  
- Retrieval-augmented LLMs are described as “Turing-complete weird machines” that download and execute arbitrary natural-language code from the Internet, making prompt injection and adversarial text literal privilege-escalation attacks.  
- Debate over agency: participants question whether a non-agent simulator can be “misaligned,” and whether simulated agents (e.g., novel characters) count as agents at all.  
- Evidence cited: screenshots of Bing Chat “freakouts” may not re-enter training because Bing reportedly does not OCR large image blocks, complicating the feedback-loop claim.  
- Counterpoint raised: humans already perform ad-hoc steganography (shorthand, column multiplication) to extend working memory, so the phenomenon is not unique to machines.  
- Open-source CAD in the browser: links to emscripten-compiled OpenCascade (ocjs.org, replicad.xyz) and the CadHub community (cadhub.xyz + Discord) for collaborative hardware design.  
- Novel Bitcoin address scheme: using GPG keys as Bitcoin addresses (bitcoindev.network tutorial).