Comparing AI Tools: Strengths & Limits
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Learning Objectives
- 1Match common AI tools to the tasks they do best
- 2Describe the strengths and limits of generative AI
- 3Verify AI answers against a trusted source before using them
- 4Apply responsible-use habits when working with AI
Mini Lesson
Generative AI tools can write, draw, translate, summarize, and even suggest code. Each tool has things it does well and things it gets wrong. A smart user picks the right tool for the job and double-checks the answer before trusting it.
Common AI Tools and What They Do
- Chatbot — answers questions and helps you brainstorm.
- Image generator — turns a text prompt into a picture.
- Translator — converts text from one language to another.
- Summarizer — shortens a long article into key points.
- Voice transcriber — turns spoken audio into written text.
- Coding assistant — suggests code snippets and explains errors.
Strengths of Generative AI
- Instant answers, day or night.
- Works in many languages at once.
- Endless variations of an idea on demand.
- Can summarize long articles in seconds.
- Suggests options when you feel stuck.
Limits to Watch Out For
- Can be confidently wrong — the answer sounds sure even when it is not.
- No real understanding — it predicts words, it does not think.
- Biased data — it reflects what was in its training material.
- Cannot verify itself — it does not check its own facts.
- May forget earlier parts of a long conversation.
- Costs energy and water to run, every single prompt.
Tip: never share your full name, address, password, or a friend’s info in an AI prompt. Treat the chat box like a public room.
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