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.
We're Testing AI Classifiers for the Wrong Threat
MIT research shows how single-word changes can flip AI text classifier decisions. The testing gap affects content moderation, financial services, and medical AI systems across production environments.
How 2023 research predicted AI audit washing would enable discrimination
"This 2023 analysis correctly predicted that AI audit requirements would create compliance theater without meaningful bias prevention, warnings that have proven increasingly relevant as agent technologies emerge."
Discovery, Not Design: How AI Systems Actually Develop
The Machine Intelligence Research Institute's latest piece makes a blunt point: nobody controls what these systems become. Engineers discover behaviors after the fact rather than designing them upfront.
Questions to Ask When Everyone Else Is Guessing
Every six months, the rules change. Old playbooks don't work anymore. The only way through is to ask better questions. Here are nine questions that matter for anyone building with AI
When founders prototype with AI, product counsel must prototype with law
OpenAI's GPT-5 made "vibe coding" the new normal. When business leaders go from concept to working prototype in minutes, legal guidance needs to happen at prototype speed, not policy-document speed.
The Perplexity problem: when AI assistants challenge web infrastructure assumptions
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
How systematic privacy governance becomes competitive advantage for AI deployment
EDPB guidance demonstrates how structured privacy governance approaches for LLM systems create competitive advantages while ensuring regulatory compliance.
