Fallthrough The AI Marketing Problem
Nov 20, 2025
The panel dives deep into the marketing failures surrounding AI and blockchain, highlighting how overpromising often misrepresents innovation. They explore the nuances of adopting AI, distinguishing between basic use and advanced applications. The discussion critiques sci-fi comparisons to AI while emphasizing LLMs as advanced reference tools. Practical applications of AI in writing and coding are showcased, alongside the importance of iterative dialogue with technology. They also caution against vague AGI claims and examine risks tied to infrastructure.
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LLMs Are Reference Interfaces
- Large language models are best understood as advanced reference interfaces rather than independent thinkers.
- Treat LLMs as an interface to query and translate human intent into data lookups and actions.
Practice Prompt Crafting
- Learn to prompt and iterate; effective use often requires skillful queries like early Google search mastery.
- Invest time in prompt engineering to get reliable, actionable outputs from agentic tools.
People Anthropomorphize Interfaces
- Humans rapidly project personhood onto partial interfaces because our brains fill gaps.
- Sci‑fi comparisons make people overestimate current AI capabilities and ignore practical limits.
