AI Sovereignty: The Expensive Illusion Every Nation Is Chasing
Every nation wants AI sovereignty. Only the US and China have anything close to it....
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....
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....
What ASR Accuracy Benchmarks Leave Out
Evaluate ASR with identified models, audio cohorts and scoring protocols. Measure critical terms alongside word error rate and report speaker and noise conditions....
AI Hallucinations in the Enterprise: The Verification Tax
Knowledge workers spend about 4.5 hours a week revising AI output, and 56% have made a work mistake trusting it unverified....
Domain-Specific ASR: Evaluate Vocabulary Before Adapting
Compare unchanged ASR, vocabulary biasing and adaptation on held-out target audio, with task-specific error and cost checks....
Why AI Wrappers Are the New Dropshipping
The AI wrapper economy mirrors dropshipping: low barriers to entry, no moat, platform dependency....
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 AI Agents Can't Remember (And What's Changing)
Current AI agents don't learn - they retrieve. New research on reinforcement learning for memory could change that....
The AI Bubble Will Deflate, Not Pop
Drawing parallels between the 2000 dot-com crash and today's AI investment frenzy....
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