TechCrunch Glossary Exposes Why You're Misunderstanding AI
TechCrunch just released the AI glossary that changes how you evaluate every AI product — and it exposes how badly the industry misuses these terms. The gap between what AI terminology actually means and what vendors claim has become massive enough to cost companies billions in wasted spending. This glossary covers the real definitions of hallucinations, training, inference, parameters, embeddings, prompt injection, and dozens more critical terms that tech executives use without understanding. Most terms get twisted by marketing teams specifically to make products sound more impressive than reality. Understanding true definitions immediately shifts your power in any AI negotiation. The glossary reveals how training and inference are completely different phases, why hallucinations are core limitations not quirks, what makes prompt injection a real security threat, and how biased training data guarantees biased systems. When you understand these connections, you evaluate AI products based on reality rather than promises. Every major company uses these terms wrong on purpose — now you can spot it instantly. For anyone buying, building, or deploying AI tools, this glossary becomes essential vocabulary. It's the difference between decisions based on vendor marketing versus decisions based on actual technical reality. If you want to understand what you're actually buying, watch this. CHAPTERS 00:00 The 90 Percent Problem 01:35 How We Got Here 03:10 The Gap Between Real and Marketed 04:50 Definitions That Matter 06:30 How It All Connects 08:10 Why This Actually Costs Money 09:50 How To Actually Use This 11:30 The Glossary Advantage #aiglossary #techcrunch #aidefinitions #machinelearnterms #aiterminology #product #evaluation #technews #ainews2026 #technews2026 #technolohynews2026 #artificialintellegence ────────────────────────────── 🔔 Subscribe for daily AI headlines: @Riffs.AI.Headlines 📬 Tips or stories? Drop them in the comments.

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