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Part 6: What Comes Next — worksheets and answer key

4 worksheets, then the answer key. One lesson per A4 page.

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Next TokenFive-Minute AI Lessons · WorksheetPart 6: What Comes Next
NameClassDate
DAY 56

Is AGI already here, or still far off? — The AGI debate

1 · Think first

Before the lesson, write down what you think the answer is.

2 · Experiment · Probability slider

Try it — Where do you set the 'AGI bar'? — move the slider and the answer changes

What did you change in the experiment, and what happened?

3 · Quiz

Circle the right answer.

  1. Q1What's the biggest reason people disagree about AGI?

    1. ① Different bars for 'how much counts as AGI'
    2. ② Nobody can measure how good AI is
    3. ③ AI changes every day
    4. ④ Someone is hiding the numbers on purpose

  2. Q2If you raise the bar to 'learn a new task on its own and finish it,' what about today's AI?

    1. ① It still passes easily
    2. ② Far more say it's not there yet
    3. ③ It can't be judged at all
    4. ④ It's always better than people

  3. Q3When you hear 'AGI is here,' what should you ask first?

    1. ① Who said it?
    2. ② How much does it cost?
    3. ③ What's the bar?
    4. ④ When did it come out?

The takeaway in my own words

“Whether AGI is here isn't a question to ask the AI, it's a question for us: where do we set the bar?”

Rewrite this line in your own words.

Next TokenFive-Minute AI Lessons · WorksheetPart 6: What Comes Next
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DAY 57

Will my job disappear completely? — AI and jobs

1 · Think first

Before the lesson, write down what you think the answer is.

2 · Experiment · Pick one

Try it — Whose piece is this?

What did you change in the experiment, and what happened?

3 · Quiz

Circle the right answer.

  1. Q1Which best describes what's been seen so far between AI and work?

    1. ① Whole jobs disappear
    2. ② Work splits into pieces and a few move over
    3. ③ Nothing changes
    4. ④ Nothing is left for people to do

  2. Q2What happened in the 2025 test that handed AI whole real-world jobs?

    1. ① It finished most of them
    2. ② It was twice as fast as people
    3. ③ Even the best AI finished only 2.5%
    4. ④ It couldn't even get started

  3. Q3Which pieces mostly stay with people?

    1. ① Repeating things fast
    2. ② Taking notes
    3. ③ Memorizing a lot
    4. ④ Deciding and owning it

The takeaway in my own words

“What AI takes isn't jobs, it's pieces. So become someone who's great at the pieces that are left.”

Rewrite this line in your own words.

Next TokenFive-Minute AI Lessons · WorksheetPart 6: What Comes Next
NameClassDate
DAY 58

Who teaches AI to say 'no'? — AI safety

1 · Think first

Before the lesson, write down what you think the answer is.

2 · Experiment · Before & after

Try it — Taking the safety guards off and putting them on

What did you change in the experiment, and what happened?

3 · Quiz

Circle the right answer.

  1. Q1What are the three AI safety guards from today?

    1. ① Fast, cheap, lots
    2. ② On, off, on again
    3. ③ Memorize, solve, get it right
    4. ④ Refuse, ask first, check afterward

  2. Q2With the guards on, how did the success rate of trick questions change?

    1. ① It dropped from 86% to 4.4%
    2. ② It hit 0%
    3. ③ It stayed the same
    4. ④ It actually went up

  3. Q3What price do safety guards come with?

    1. ① It gets faster
    2. ② More compute, over-refusal
    3. ③ It gets more accurate
    4. ④ No price at all

The takeaway in my own words

“Safety isn't AI having a nice personality, it's guards someone paid a price to put on.”

Rewrite this line in your own words.

Next TokenFive-Minute AI Lessons · WorksheetPart 6: What Comes Next
NameClassDate
DAY 59

Which pieces of a robot have AI inside? — Robots and AI

1 · Think first

Before the lesson, write down what you think the answer is.

2 · Experiment · Split it up

Try it — Split a robot into pieces — where did AI go in?

What did you change in the experiment, and what happened?

3 · Quiz

Circle the right answer.

  1. Q1What's the biggest reason robots look smart these days?

    1. ① AI like ours got plugged into the 'brain' spot
    2. ② Their bodies got much tougher
    3. ③ Their batteries got bigger
    4. ④ A person is controlling them from behind

  2. Q2What was the biggest weakness of older robots?

    1. ① They were weak
    2. ② Moved only as told, so small shifts made it miss
    3. ③ They were too slow
    4. ④ They were too noisy

  3. Q3Why do robots split work between fast circuits and slow circuits?

    1. ① To save electricity
    2. ② To be quieter
    3. ③ Balance needs 100s a second
    4. ④ To weigh less

The takeaway in my own words

“Robots didn't turn into AI, AI went into the robot's first three pieces.”

Rewrite this line in your own words.

Next TokenFor the teacherPart 6: What Comes Next

Answer key · Part 6: What Comes Next

DAY 56 · Is AGI already here, or still far off? — The AGI debate

  1. Q1 · Answer ① Different bars for 'how much counts as AGI' Even with the same AI, if you hold the ruler in a different place, the verdict changes. So the AGI debate is less a fight about skill and more a fight about where the bar goes.
  2. Q2 · Answer ② Far more say it's not there yet On a test where you figure out new rules with no instructions, AI got almost none of the problems people got all right. And on a test that handed it whole real jobs, the share it finished was very low.
  3. Q3 · Answer ③ What's the bar? If you don't know the bar, people end up using the same word to mean different things. Check the bar first and the debate gets a lot clearer.

Today in one line · Whether AGI is here isn't a question to ask the AI, it's a question for us: where do we set the bar?

DAY 57 · Will my job disappear completely? — AI and jobs

  1. Q1 · Answer ② Work splits into pieces and a few move over AI is great at a single piece but still weak at carrying a job from start to finish on its own. So instead of jobs disappearing, what shows up is a change in who owns each piece.
  2. Q2 · Answer ③ Even the best AI finished only 2.5% Being good at pieces and carrying a job from start to finish are different skills. This number puts the brakes on the claim that 'whole jobs are moving over.'
  3. Q3 · Answer ④ Deciding and owning it Repetition with a set right answer goes to AI, and deciding what's right and dealing with the results goes to people.

Today in one line · What AI takes isn't jobs, it's pieces. So become someone who's great at the pieces that are left.

DAY 58 · Who teaches AI to say 'no'? — AI safety

  1. Q1 · Answer ④ Refuse, ask first, check afterward It's not about making the model itself good, it's about adding three guards on top. Filtering, asking before anything that can't be undone, and looking things over afterward.
  2. Q2 · Answer ① It dropped from 86% to 4.4% It dropped a lot, but it's not zero. Safety guards lock the door; they don't turn it into a solid wall.
  3. Q3 · Answer ② More compute, over-refusal In that study it took about 24% more computing, and the problem of turning down perfectly fine requests came along with it. That's why people measure both these days.

Today in one line · Safety isn't AI having a nice personality, it's guards someone paid a price to put on.

DAY 59 · Which pieces of a robot have AI inside? — Robots and AI

  1. Q1 · Answer ① AI like ours got plugged into the 'brain' spot The technology for hands and legs was precise even before. What changed is that AI went into the pieces that see, understand and decide what to do.
  2. Q2 · Answer ② Moved only as told, so small shifts made it miss They only moved to set positions, so if an object was just 1 cm off, they grabbed thin air. There was no piece that could see and decide on its own.
  3. Q3 · Answer ③ Balance needs 100s a second Holding the body steady has to happen hundreds to thousands of times a second, but thinking about meaning can't go that fast. So they're split into layers and run separately.

Today in one line · Robots didn't turn into AI, AI went into the robot's first three pieces.