When AI Coding Actually Helps: Patterns That Work
AI coding tools made experienced developers 19% slower in METR's study. But clear patterns emerge for when they help: unfamiliar territory, boilerplate, documentation, and exploration....
The Hidden Cost of AI Calendar Assistants
AI calendar assistants claim massive time savings, but rigorous research reveals a productivity paradox: tools that make you feel faster actually make you slower while introducing hidden costs....
I Built a CMS at MSNBC Before Anyone Called Them CMSs
In 1996 at MSNBC, I built Workbench - a content management system for editors, copy editors, and photo teams before the term CMS existed. Workflow automation for non-technical users....
Why Every ASR System Lies About Its Accuracy
ASR accuracy claims are based on ideal conditions. Real-world performance with background noise, accents, and domain jargon drops 30-50%. What AMBIE taught us about honest metrics....
AI Hallucinations in the Enterprise: The 4.3-Hour Weekly Tax
Knowledge workers spend 4.3 hours per week fact-checking AI outputs. 47% of enterprise users made major decisions based on hallucinated content. The costs are mounting....
Domain-Specific ASR: Why General Models Fail in the Real World
Legal terminology, manufacturing jargon, call center scripts - each requires specialized training. The myth of 'one model to rule them all.'...
Most Security Breaches Don't Matter
The security industry profits from fear. Most breaches have minimal impact while companies overspend on exotic threats....
Small Language Models Will Eat Enterprise AI
Gartner predicts task-specific AI models will be used 3x more than general-purpose LLMs by 2027. Why latency, cost, and privacy push enterprises toward SLMs....
Why Multimodal AI Is Massively Overhyped
Multimodal AI sits at peak hype on Gartner's 2025 cycle. But 80% of pilots fail to scale beyond testing. The gap between benchmark performance and production reality is where projects go to die....
Mutation Testing Primer: Finding Real Bugs
Mutation testing answers what coverage can't: do your tests actually catch bugs? Learn how to use mutation testing tools to find the gaps in your test suite and write tests that genuinely verify corre...
The ASR Privacy Paradox
ASR systems need training data. Training data contains sensitive audio. How federated learning solves the conflict between ML requirements and privacy laws....
Voice to Context to Action: A Framework for Operational Voice AI
Radio traffic is operational intelligence that vanishes into air. This framework for voice AI captures, interprets, and acts on voice data in minutes instead of hours....
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