The Affective Blind Spot: How Support Systems Fail When Incentives Eclipse Care
When a support system breaks, its real incentives show. A field report on affective blindness, governance, and why bots escalate hostility but never h…
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When a support system breaks, its real incentives show. A field report on affective blindness, governance, and why bots escalate hostility but never h…
If you work in a regulated organisation, you have probably seen this play out: leadership wants AI in production, security wants an audit trail, and t…
Cursor's Developer Habits Report is one of the clearest signals yet that AI coding has crossed from individual productivity into software-delivery inf…
Microsoft's Agentic Transformation Patterns Playbook is a useful signal because it does not treat AI agents as another productivity tool. It frames ag…
NVIDIA's vice president of applied deep learning, Bryan Catanzaro, said something in an Axios interview in April 2026 that should have stopped every e…
Part 1 showed how to evaluate binary classification thresholds in Python. This part asks the harder enterprise question: What happens when that thresh…
Multi-agent AI systems are no longer a research curiosity. Omnithium , the AI agent platform for enterprises, helps teams deploy production AI systems…
TL;DR — AI agents now do real work, but there is no shared way to say what an agent is, what it is good at, and how that claim was checked . So we bui…
Three technical changes that made the scanner less Python-shaped, the warning model more stable, and the reports more inspectable. The last time I wro…
Earlier in this series, I wrote about why bio/medical AI repositories need more than benchmarks, what I learned after auditing 10 public repositories,…
On Monday, NIST's Center for AI Standards and Innovation launched the AI Agent Standards Initiative — a coordinated federal effort to develop security…