Research begins before the answer exists.
The film follows people choosing a hard question, living with uncertainty, and deciding what evidence is strong enough to change their minds.
Film recommendationThe Thinking Game
MAE 4182 · A personal recommendation
The Thinking Game
A film I genuinely hope every one of you will watch.
This film is not required, and it is not graded. But I want to be unusually clear: I really, really recommend it to every student in this class. It shows the curiosity, uncertainty, persistence, and teamwork behind a scientific breakthrough—things an equation alone cannot show.
If you watch only one film about AI this semester, I hope it is this one.— Prof. Chuchu Chen- Filmed
- Over five years
- Runtime
- 1 hour 24 minutes
- Access
- Free on Google DeepMind's YouTube channel
- Course credit
- Not graded · no submission
Watch the full documentary
Give yourself time to follow the people—not only the result.
You do not need to watch it in one sitting.Why I am recommending it
Engineering is more than obtaining the right answer.
Breakthroughs are built through feedback.
A model produces a result; experiments expose what is missing; the team revises the model. That loop of prediction, evidence, and correction is deeply engineering.
Intelligence still has to meet the physical world.
AI may choose, infer, or plan. Control systems address the companion question: how does a real physical system respond, and how can that response become reliable?
observation→AI decision→command u(t)→physical dynamics→response y(t)→feedback
Keep these nearby
Three questions—not an assignment
Nothing needs to be submitted. These are simply ways to watch more carefully.- 01
What problem is the team actually trying to solve, and how do they know they are making progress?
- 02
Where does new evidence force someone to revise a model, an assumption, or a plan?
- 03
If an AI system were placed inside a robot, what physical dynamics would it still need to understand or control?
This is not a documentary about the Laplace transform. It is a film about why we learn difficult tools in the first place: to ask better questions, describe systems more clearly, and build things that did not exist before.