The Speech-to-Speech Revolution: When 300ms Changes Everything
Speech-to-speech AI has crossed the 300ms latency threshold where interactions feel like genuine conversation. What this means for voice interfaces and where it still fails....
What AI Agents Won't Replace
AI agents have real limits. They won't replace judgment, empathy, expertise, or physical labor. Understanding these boundaries is essential for successful deployment....
LeCun's Bet Against LLMs: Why the AI Contrarian Might Be Right
Yann LeCun is betting that large language models are a dead end for AGI. His new startup AMI Labs pursues world models instead. Why his contrarian vision might prove correct....
Why 95% of AI Pilots Fail
MIT-linked studies show 95% of generative AI pilots failed to generate meaningful business impact. The failure patterns and how to avoid them....
AI Sovereignty: The Expensive Illusion Every Nation Is Chasing
Every nation wants AI sovereignty. Only the US and China have anything close to it. The rest are buying sovereignty as a service from the countries they're trying to escape....
Why Your AI Vendor Is Lying to You
How to see through AI vendor marketing: why demos don't match reality, how accuracy numbers lie, and what questions to ask before buying enterprise AI....
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 Prompt Engineering Bubble
Prompt engineering as a career is a bubble. As models improve, the skill becomes less valuable, not more....
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....
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.'...
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