Switzerland proves responsible AI development works
Compliance as a feature, not an afterthought: What Switzerland's Apertus model means for AI procurement
Why the Anthropic-Humanloop deal signals a shift in enterprise AI competition
Anthropic's Humanloop acquisition shows enterprise AI competition has moved beyond models to specialized talent who can build trust into AI systems.
Anthropic's safeguards framework shows embedded governance in action
Anthropic's safeguards architecture shows how legal frameworks become computational systems that process trillions of tokens while preventing harm in real-time.
Building Real Moats for AI Startups
Organizations can't engineer moats from a business plan. Defensibility emerges from solving real problems—discovering unique workflows, building proprietary datasets, and integrating so deeply into operations that switching becomes prohibitively expensive.
Your AI's cultural bias depends on the language you use
MIT researchers tested GPT and ERNIE in English and Chinese. The finding: language choice shapes the cultural assumptions in AI responses. When prompted in English, models reflected American values. In Chinese, they shifted to Chinese values.
Keep thinking: why legal AI makes judgment more valuable
Andrusko's a16z analysis reveals why "thinking partner" rhetoric clashes with billable hour economics. Since AI tools will never be flawless, traceability and workflow adaptation matter more than sophistication
Law students taught me what institutions are missing about AI
Working with summer interns revealed that the next generation treats AI as another developing tool, not an existential threat.
Law schools build AI fluency through hands-on training programs
Law schools teach AI verification skills through hands-on training. Yale students build models then hunt for hallucinations. Penn gives 300 students ChatGPT access. Early movers create graduates who understand AI capabilities.
