"Rogue AI" Is the Wrong Question: Why AI Safety Needs Governance, Not Mythology
AI safety needs more than “rogue AI” headlines. This article argues for stronger governance, clearer system boundaries, and less mythology around machine intent.
AI’s Expansion Into Clinical Research Should Excite Us
AI can accelerate clinical research and medicine, but its value will depend on data quality, patient protection, governance, and continued human judgment.
Not Every AI Model Should Be Consumer-Grade
As frontier AI becomes more powerful, access itself becomes part of the safety architecture. High-risk models require governance, verification, and accountability.
Token-Maxxing: When AI Metrics Replace Common Sense
The AI industry has developed an unhealthy obsession with a metric that should have never become a goal: usage. More tokens. More prompts. More AI interactions. More AI-generated code. More AI-generated content. The assumption seems to be that greater AI usage automatically translates into greater productivity. It does not. In many cases, it translates into…
Why Model Behavior Has to Be Studied, Not Assumed
Model behavior should not be assumed. VIQ™ is entering its next research phase: telemetry-based study of safety, efficacy, and governed AI routing.
AI Will Not Replace Humans. It Will Expose Them.
In an already stressed job market, people are experiencing anxiety and fatigue about the future of AI and what it means for them. Layoffs over the past few years are increasingly being attributed to AI - rather than overhiring during the pandemic, shifting market conditions, or performance gaps. With the release of the VIQ™ Phase…
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