AI Landscape Quiz: Do You Know the Models That Matter?

A company wants to connect an AI assistant to its private internal knowledge base so it can answer employee questions. Which technique is most relevant?

Fine-tuning the foundation model from scratch Retrieval-Augmented Generation (RAG) Building a new foundation model Switching to an open-source model

What is the recommended career strategy for current software developers adapting to the AI coding era?

Transition to product management since coding will be fully automated Specialize exclusively in AI model training to avoid automation Avoid AI tools to differentiate yourself as a human-only coder Master AI coding tools to multiply your own productivity while deepening expertise in architecture, security, and system-level judgment

Why can many different AI products (e.g., a writing tool, a customer service bot, a code assistant) feel similar in capability?

AI models can only do one type of task well They may all be using the same underlying foundation model via API Foundation models are open-source and freely copyable They all copy ChatGPT's training data

Which layer of the AI stack contains products like ChatGPT, Microsoft Copilot, and Perplexity?

The training data layer The foundation model layer The API and platform layer The application layer

Which characteristic most differentiates a durable AI-native business from a vulnerable 'thin layer' AI startup?

A larger team than other AI startups in the same space Proprietary data, deep workflow integration, or domain expertise that the underlying AI API provider cannot replicate or offer directly Using the newest, most capable AI model available Having a more polished user interface than competitors

A startup builds an AI writing assistant that is entirely a UI layer on top of the GPT API. Why is this business model vulnerable?

OpenAI could add similar UI features directly to ChatGPT, instantly competing with the startup's core product GPT API pricing makes it impossible to charge customers enough to be profitable Users prefer to use APIs directly rather than through a UI layer The startup will be banned from using the OpenAI API for commercial products

What is 'outcome-based pricing' in AI services?

Free-to-use pricing with premium upgrades for advanced features A pricing model where customers pay more as their revenue grows Charging customers based on measurable results the AI delivers — not per seat or per month Pricing based on the number of AI model parameters used

Which developer skill becomes MORE valuable as AI coding tools become more capable?

System architecture and security auditing — judgment-intensive work that AI-generated code still requires human expertise to evaluate Typing speed and memorizing syntax Knowledge of legacy programming languages The ability to write code without AI assistance

What is 'micro-SaaS' in the context of vibe coding?

Software sold at very low monthly prices to maximize volume Software built by large companies for internal micro-services AI tools that perform micro-tasks for users Highly focused software products serving small niches that were previously uneconomical to build — now viable because development costs are near zero

A software developer's team of 5 now uses AI coding tools that make each developer 50% more productive. What is the likely business implication?

No change — productivity gains in software development are always reallocated to additional features The company must immediately replace all 5 developers with AI tools The same team can now deliver the work that previously required 7–8 developers, changing hiring math for similar future projects The team will need to hire 5 more developers to manage the additional AI output