# AI Literacy

Published articles for AI Literacy.

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## The Flat Curve Society: Why AI Literacy May Matter More Than Model Access

DevFeed: [The Flat Curve Society: Why AI Literacy May Matter More Than Model Access](<https://devfeed.tech/articles/the-flat-curve-society-why-ai-literacy-may-matter-more-than-model-access-56373.md>)

Original publisher: [Read original article](<https://www.developersdigest.tech/blog/yegge-flat-curve-society>)

Author: Developers Digest

Published: 2026-08-03T00:00:00Z

Content type: opinion

Language: en

Sources: [Developers Digest](<https://devfeed.tech/sources/developers-digest.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-adoption](<https://devfeed.tech/tags/ai-adoption.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [ai-literacy](<https://devfeed.tech/tags/ai-literacy.md>), [developer-productivity](<https://devfeed.tech/tags/developer-productivity.md>), [model-routing](<https://devfeed.tech/tags/model-routing.md>)

### AI overview

Steve Yegge's Flat Curve Society thesis frames AI adoption as an operating challenge: organizations need to teach people how to use agents effectively and reduce wasted token usage.

### Source excerpt

Steve Yegge's Flat Curve Society thesis turns the AI adoption question into an operating problem: teach people to use agents, then teach them to waste fewer tokens.

## Human-centered AI: How to keep humans at the center of your AI efforts

DevFeed: [Human-centered AI: How to keep humans at the center of your AI efforts](<https://devfeed.tech/articles/human-centered-ai-how-to-keep-humans-at-the-center-of-your-ai-efforts-57028.md>)

Original publisher: [Read original article](<https://www.thoughtworks.com/insights/articles/tw-microsoft-guide-human-centered-ai>)

Published: 2026-02-16T00:00:00Z

Content type: opinion

Language: en

Sources: [Thoughtworks Insights](<https://devfeed.tech/sources/thoughtworks-insights.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [prompt](<https://devfeed.tech/topics/prompt.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [ai-literacy](<https://devfeed.tech/tags/ai-literacy.md>), [ai-strategy](<https://devfeed.tech/tags/ai-strategy.md>), [article](<https://devfeed.tech/tags/article.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [communication](<https://devfeed.tech/tags/communication.md>), [creativity](<https://devfeed.tech/tags/creativity.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [executive](<https://devfeed.tech/tags/executive.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [governance](<https://devfeed.tech/tags/governance.md>), [integrity](<https://devfeed.tech/tags/integrity.md>), [prompting](<https://devfeed.tech/tags/prompting.md>)

### AI overview

This guide presents a five-part human-centered AI framework for executives: competence, collaboration, communication, creativity, and conscience. It emphasizes AI literacy, critical interpretation of model outputs, prompting, ethics, governance, and human responsibility in AI initiatives.

### Source excerpt

Human-centered AI: How to keep humans at the center of your AI efforts