When the precedent hasn’t been set yet, we get to write it
OpenAI wants ChatGPT conversations legally privileged, but traditional privilege requires professional accountability. For deployers, this means discovery blind spots—your team uses AI for strategy, you get sued, you can't access the conversations.
In October I spent two days at IAPP Privacy. Security. Risk. 2025 in San Diego, watching 500+ practitioners try to solve problems that didn't exis…
Alibaba's offline training framework creates pre-aligned agent models without API costs, making custom research agent development more economically feasible for enterprises with domain-specific needs.
Most companies are building autonomous AI capabilities faster than they can deploy them safely. The gap shows up in identity systems that can't handle agent credentials, APIs built for humans rather than machines, and costs that spiral when agents loop endlessly.
In October I spent two days at IAPP Privacy. Security. Risk. 2025 in San Diego, watching 500+ practitioners solve problems that didn't exist two y…
When each step has 98% accuracy, a 20-step process drops to 70% reliability. That compound probability problem explains why AI agents excel at narrow tasks but need deterministic scaffolding for enterprise workflows—and why hybrid systems win.
That changes everything from procurement to integration to the economics of enterprise software.
Anthropic and OpenAI both use Cognition's SWE Gym to test their models. When leading AI companies rely on external evaluation tools, it reveals a gap in internal benchmarking—and raises questions about deployment standards for everyone else.
