Decoding AI Landscape: Business, Market Trends, and Risks
summary
A data‑driven audit of generative AI that claims we already have a system‑one superintelligence (excellent at associative tasks) but not system‑two reasoning, demonstrates frequent compositional failures and hallucinations, and argues AGI is unlikely within 5–15 years. Covers NLP media‑discourse analysis built with LLMs and prototypes for media analytics, compares business models (AI‑as‑a‑service vs “DevAI” retrieval‑augmented systems), cites costs and moves like GPT‑4 Turbo 128k context and BloombergGPT $1–2.7M training, and evaluates market risks and practical deployment tradeoffs.
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chapters (18)
- 0:00Introduction
- 1:12Generative AI revolution
- 2:15System one vs system two
- 10:18Compositionality limits
- 17:03No artificial general intelligence in sight
- 19:30AI business models
- 23:24AI as a service vs Dev AI
- 28:41Domain models and trends
- 34:272024 outlook
- 35:13Q&A on AGI
- 40:09Surprise and expectations around LLMs
- 44:51Symbolic vs neural AI
- 49:47Low data theory
- 53:24Risks of LLMs in business products
- 55:12Neural network emergence
- 57:00LLM industries
- 58:26Quantum AI limits
- 1:01:12System one system two origins
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