20 Uses (or Not) for AI
The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis
Deep Dive
Why should brainstorming processes now involve more quantity due to AI?
AI can generate hundreds of ideas without repetition, allowing brainstorming to shift from being about individual creativity to becoming a curation process.
When is it most effective to use AI alongside expert knowledge?
AI is most effective when paired with expert knowledge to quickly assess its outputs, especially in complicated and exacting work where the expert can identify errors or inaccuracies.
Why might testing AI on tasks you're already great at lead to disappointment?
If you're already highly skilled at a task, you're likely better than AI at it, so testing AI on such tasks may not reveal its true potential, which lies in assisting with tasks you're less skilled at or dislike doing.
What is one of the fastest-growing categories of AI use?
AI doing tasks better than humans is likely the fastest-growing category, with many of these tasks being automated by AI agents in the coming years.
Why should AI not be used in customer service despite its potential?
There is a lower tolerance for AI errors compared to human errors, with customers often accepting human mistakes 5% of the time but expecting AI accuracy to be over 99%.
What are the risks of using AI without understanding its failure modes?
AI can hallucinate, persuade you it's right, or become sycophantic, so understanding its failure modes is crucial to avoid being misled by incorrect outputs.
Why might effort and struggle be essential in certain learning or work processes?
Effort and struggle are often necessary for deep understanding and breakthroughs, as shortcuts can prevent reaching vital 'aha' moments that come from sustained engagement with a topic.
How might AI change the way we consume academic papers in the future?
AI summaries, like those from Notebook LM, are likely to become the first point of consumption for academic papers, helping learners get over the initial hurdle before diving into full readings.
- AI can generate hundreds of ideas, reducing brainstorming fatigue.
- The brainstorming process shifts from generation to curation.
- AI enables exploration of a significantly larger number of ideas than humans alone.
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