5.4
Decisions AI Should Never Make for You
The training cutoff and what it means in practice.
What you'll leave with
By the end of this lesson, you'll understand the training cutoff concept — and you'll recognise when time-sensitive information needs independent verification regardless of how current AI sounds.
Why this matters
AI was trained on data up to a certain date. After that date, it has no reliable information. It may not know about new laws, recent price changes, updated guidance, newly discovered research, or current events.
The problem is that AI does not always communicate this clearly. It may answer confidently about something it has no current information on — because the outdated version of that information was in its training data.
The idea
The training cutoff varies by AI tool and version. A rough rule for practical purposes: assume AI's information may be one to two years out of date on time-sensitive topics, and treat anything recent with appropriate caution.
This matters differently for different topics. General information about how to write a good email does not change with time. Current drug interactions, prices, regulations, research findings, and recent events do.
The teaching block
Categories where recency matters most:
- Medical: drug approvals, updated treatment guidelines, new research
- Legal: recent legislation, case law, regulatory changes
- Financial: prices, rates, market conditions, fund performance
- Technology: new products, software versions, best practices
- News and current events: anything that happened recently
- Organisational information: who holds what role, whether a company still exists, current policies
A simple test:
When AI gives you information in a time-sensitive category, ask it directly:
When was your training data cut off? Is this topic one where more recent information might be available?
AI will not always answer accurately — but asking the question creates the pause that prompts you to verify.
Example
Ask AI about something you know has changed recently — a product that was updated, a policy that shifted, a price that changed. Show how it handles the question. Note whether it acknowledges uncertainty or responds confidently with outdated information.
Try this now
Think of one area in your life where you rely on current information — health, work regulations, a technology you use, a financial topic. Ask AI about it and note whether the answer feels current or whether it might be outdated.
You do not have to verify it right now. Just practise noticing: is this the kind of question where recency matters?
Save this
Assume AI's information may be one to two years out of date on time-sensitive topics, and treat anything recent with appropriate caution.
Quiet takeaway
The training cutoff is not a flaw — it is a design characteristic. Knowing it exists means you can protect against it selectively, without being paralysed by it.
Next
Outdated information handled. The final lesson in this module addresses the deepest question: what should AI never decide for you?