The main topic was emergence, but here are a few other topics, courtesy of Claude:
"Transformers were inevitable, not magical" - Why AI's emergence follows the same evolutionary patterns as the prokaryote-to-eukaryote transition, making LLMs a biological inevitability rather than a lucky discovery
The software economics flip nobody's talking about - How AI inverts 40 years of assumptions: software is now free to write but expensive to run, breaking every business model we know
OpenAI's reckless security gamble - Why prompt injection is fundamentally unsolvable if LLMs are "calling the shots," and why OpenAI's recent browser integration is "shooting fish in a barrel" for attackers
The AOL parallel - Why OpenAI's dominance mirrors AOL's rise (and likely fall), and how ChatGPT's brand power masks structural weaknesses
Wikipedia's hidden lesson for AI - How "folksonomies" and emergent systems from Web 2.0 show us what we're missing in current AI architectures
The "infinite software" paradigm - Why apps are the wrong distribution model for AI, and how we need to flip from "apps own data" to "data carries its own policies"
Confidential compute as the missing key - How military-grade encrypted cloud computing could enable privacy-preserving AI that doesn't require trusting any company
Why vibe coding can't scale - The fundamental trust problem when random people can build apps that access your data