Beyond the AI Hype: What's Real, What's Next
summary
A clear timeline traces practical AI from deep nets to products: an academic paper leads to models trained at scale, a 175 billion parameter GPT‑3 built on 285,000 cores and 10,000 CPUs, and GitHub Copilot turning that code corpus into developer tooling. OpenAI gets Microsoft funding (initial billion then more) and ChatGPT reaches 100 million users in two months while cheap human ranking from outsourced workers reduces errors. Real wins appear in AI‑assisted coding and ERP automation, but hallucinations, deepfakes and uneven business economics create sharp limits.
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