Activity Flows

How students move through time, split into groups, rotate partners, and share information during in-class activities.

AI Scavenger Hunt (Part 1)

Jan 27 · 35m · 5 stages

pairs · driver/observerThe Confabulator10m: Partners explore AI hallucinationspairsThe Confabulator (10m) — pairs — roles rotateConfabulator: Share Out5m: Class reviews confabulation findings togetherConfabulator: Share Out (5m) — whole classThe Yes-Man10m: Roles rotate; new challenge beginspairsThe Yes-Man (10m) — pairs — roles rotateYes-Man: Share Out5m: Class reviews sycophancy findings togetherYes-Man: Share Out (5m) — whole classPart 1 Wrap-Up5m: Brief wrap-up and preview of ThursdayPart 1 Wrap-Up (5m) — whole class
Stage details
#StageDurationTypeFeatures
1The Confabulator10mpairsrole rotation, roles
2Confabulator: Share Out5mwhole classroles
3The Yes-Man10mpairsrole rotation, roles
4Yes-Man: Share Out5mwhole classroles
5Part 1 Wrap-Up5mwhole classroles

AI Scavenger Hunt (Part 2)

Jan 29 · 65m · 7 stages

pairs · driver/observerThe Forgetter10m: Partners explore AI memory limitationspairsThe Forgetter (10m) — pairs — roles rotateForgetter: Share Out5m: Class reviews memory drift findings togetherForgetter: Share Out (5m) — whole classThe Overconfident10m: Roles rotate; new challenge beginspairsThe Overconfident (10m) — pairs — roles rotateOverconfident: Share Out5m: Class reviews overconfidence findings togetherOverconfident: Share Out (5m) — whole classChallenge Items20m: Roles rotate; two harder open-ended challengespairsChallenge Items (20m) — pairs — roles rotateChallenge: Share Out5m: Class reviews challenge findings togetherChallenge: Share Out (5m) — whole classSynthesis10m: Class reconvenes for final synthesisSynthesis (10m) — whole class
Stage details
#StageDurationTypeFeatures
1The Forgetter10mpairsrole rotation, roles
2Forgetter: Share Out5mwhole classroles
3The Overconfident10mpairsrole rotation, roles
4Overconfident: Share Out5mwhole classroles
5Challenge Items20mpairsrole rotation, roles
6Challenge: Share Out5mwhole classroles
7Synthesis10mwhole classroles

Assessments and Agents

Feb 3 · 70m · 4 stages

Review Assessment Design15m: Partners read assessment design docs independently, then discusspairsReview Assessment Design (15m) — pairs — roles rotateComplete the Turing Test20m: Students work individually on their first conversational assessmentComplete the Turing Test (20m) — whole classAssessment Feedback10m: Students share feedback on the assessment experienceAssessment Feedback (10m) — whole classAgents Talking to Agents25m: New partners explore multi-agent AI communicationpairsAgents Talking to Agents (25m) — pairs — roles rotate
Stage details
#StageDurationTypeFeatures
1Review Assessment Design15mpairsrole rotation, roles
2Complete the Turing Test20mwhole class
3Assessment Feedback10mwhole class
4Agents Talking to Agents25mpairsrole rotation, roles

Creative Media Lab

Feb 5 · 80m · 7 stages

Create Images15m: Partners agree on a concept, then create images independentlypairsCreate Images (15m) — pairsImage Gallery5m: Class reviews submitted images togetherImage Gallery (5m) — whole classCreate Video15m: New partners; agree on a concept and create videopairsCreate Video (15m) — pairsVideo Gallery5m: Class reviews submitted videos togetherVideo Gallery (5m) — whole classCreate Music15m: New partners; agree on a concept and create musicpairsCreate Music (15m) — pairsMusic Gallery5m: Class reviews submitted music togetherMusic Gallery (5m) — whole classDiscussion20m: Class reconvenes for closing discussionDiscussion (20m) — whole class
Stage details
#StageDurationTypeFeatures
1Create Images15mpairs
2Image Gallery5mwhole class
3Create Video15mpairs
4Video Gallery5mwhole class
5Create Music15mpairs
6Music Gallery5mwhole class
7Discussion20mwhole class
Round 1: Creativity15m: Partners discuss whether AI can be creativepairsRound 1: Creativity (15m) — pairsRound 1: Share Out5m: Class reconvenes to share observationsRound 1: Share Out (5m) — whole classRound 2: Anthropomorphization15m: New partners discuss why we treat AI like a personpairsRound 2: Anthropomorphization (15m) — pairsRound 2: Share Out5m: Class reconvenes to share observationsRound 2: Share Out (5m) — whole classRound 3: The Mirror15m: New partners discuss what AI reveals about uspairsRound 3: The Mirror (15m) — pairsRound 3: Share Out5m: Class reconvenes to share observationsRound 3: Share Out (5m) — whole classRound 4: Collaboration15m: New partners discuss human-AI collaborationpairsRound 4: Collaboration (15m) — pairsRound 4: Share Out5m: Class reconvenes to share observationsRound 4: Share Out (5m) — whole classWrap-Up5m: Brief closing reflectionWrap-Up (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: Creativity15mpairs
2Round 1: Share Out5mwhole class
3Round 2: Anthropomorphization15mpairs
4Round 2: Share Out5mwhole class
5Round 3: The Mirror15mpairs
6Round 3: Share Out5mwhole class
7Round 4: Collaboration15mpairs
8Round 4: Share Out5mwhole class
9Wrap-Up5mwhole class

How Do LLMs Work? A First Look

Feb 24 · 80m · 8 stages

Explore: Predictions & Temperature15mpairsExplore: Predictions & Temperature (15m) — pairsDiscussion: Predictions & Temperature5m: Class discusses what they observed about predictions and temperatureDiscussion: Predictions & Temperature (5m) — whole classExplore: Markov Babbler15m: Same partners explore a simpler statistical modelpairsExplore: Markov Babbler (15m) — pairsDiscussion: Markov Babbler10m: Class discusses how Markov chains compare to LLMsDiscussion: Markov Babbler (10m) — whole classGenerate Questions10m: New partners generate questions from their observationspairsGenerate Questions (10m) — pairsQuestion Review5m: Class reviews and selects a question to investigateQuestion Review (5m) — whole classInvestigate12m: Partners investigate the selected question togetherpairsInvestigate (12m) — pairsShare Out8m: Groups share what they discoveredShare Out (8m) — whole class
Stage details
#StageDurationTypeFeatures
1Explore: Predictions & Temperature15mpairs
2Discussion: Predictions & Temperature5mwhole class
3Explore: Markov Babbler15mpairs
4Discussion: Markov Babbler10mwhole class
5Generate Questions10mpairs
6Question Review5mwhole class
7Investigate12mpairs
8Share Out8mwhole class

Study Guide Lab

Mar 3 · 80m · 8 stages

AI Learning Strategies15mpairsAI Learning Strategies (15m) — pairsStrategy Review5m: Class reviews all submitted strategiesStrategy Review (5m) — whole classClass Discussion5m: Discussion of strategies where groups disagreedClass Discussion (5m) — whole classPractice Testing15m: Same partners; individual study with AI practice testingpairsPractice Testing (15m) — pairsPractice Testing: Share Out10m: Share reflections on practice testingPractice Testing: Share Out (10m) — whole classBuild a Study Aid15m: Same partners; individual study building a study aidpairsBuild a Study Aid (15m) — pairsBuild a Study Aid: Share Out10m: Share reflections on study aid creationBuild a Study Aid: Share Out (10m) — whole classFeedback5m: Quick feedback on the sessionFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1AI Learning Strategies15mpairs
2Strategy Review5mwhole class
3Class Discussion5mwhole class
4Practice Testing15mpairs
5Practice Testing: Share Out10mwhole class
6Build a Study Aid15mpairs
7Build a Study Aid: Share Out10mwhole class
8Feedback5mwhole class

Does AI Understand?

Mar 5 · 85m · 11 stages

Round 1: The Blurry JPEG12mpairsRound 1: The Blurry JPEG (12m) — pairsRound 1: Report Out3m: Students capture their key discussion pointsRound 1: Report Out (3m) — whole classRound 1: Share Out10m: Class reconvenes to share observationsRound 1: Share Out (10m) — whole classRound 2: The Case for Understanding12m: New partners discuss the scientific evidencepairsRound 2: The Case for Understanding (12m) — pairsRound 2: Report Out3m: Students capture their key discussion pointsRound 2: Report Out (3m) — whole classRound 2: Share Out10m: Class reconvenes to share observationsRound 2: Share Out (10m) — whole classRound 3: The Writing Test12m: New partners discuss what this means for writingpairsRound 3: The Writing Test (12m) — pairsRound 3: Report Out3m: Students capture their key discussion pointsRound 3: Report Out (3m) — whole classRound 3: Share Out10m: Class reconvenes to share observationsRound 3: Share Out (10m) — whole classWrap-Up5m: Brief closing reflectionWrap-Up (5m) — whole classFeedback5m: Quick feedback on the discussionFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: The Blurry JPEG12mpairs
2Round 1: Report Out3mwhole class
3Round 1: Share Out10mwhole class
4Round 2: The Case for Understanding12mpairs
5Round 2: Report Out3mwhole class
6Round 2: Share Out10mwhole class
7Round 3: The Writing Test12mpairs
8Round 3: Report Out3mwhole class
9Round 3: Share Out10mwhole class
10Wrap-Up5mwhole class
11Feedback5mwhole class

Neurons and Networks

Mar 10 · 80m · 10 stages

Explore: Single Neuron10mpairsExplore: Single Neuron (10m) — pairsExplore: Digit Network15m: Same partners explore a full neural networkpairsExplore: Digit Network (15m) — pairsDiscussion: What Did You Notice?5m: Class shares initial observationsDiscussion: What Did You Notice? (5m) — whole classGenerate Questions5m: Students generate questions individuallyGenerate Questions (5m) — whole classQuestion Review5m: Class reviews and selects questions to investigateQuestion Review (5m) — whole classInvestigate12m: New partners investigate a question using the demospairsInvestigate (12m) — pairsExplain & Learn12m: New partners explain findings to each otherpairsExplain & Learn (12m) — pairsShare Out8m: Groups share what they discoveredShare Out (8m) — whole classWrap-Up3m: Brief connection to LLMs and what comes nextWrap-Up (3m) — whole classFeedback5m: Quick feedback on the sessionFeedback (5m) — whole classPartner rotation: new partners assigned
Stage details
#StageDurationTypeFeatures
1Explore: Single Neuron10mpairs
2Explore: Digit Network15mpairs
3Discussion: What Did You Notice?5mwhole class
4Generate Questions5mwhole class
5Question Review5mwhole class
6Investigate12mpairs
7Explain & Learn12mpairs
8Share Out8mwhole class
9Wrap-Up3mwhole class
10Feedback5mwhole class

From Simple Parts

Mar 12 · 80m · 9 stages

Round 1: Emergence Everywhere15mpairsRound 1: Emergence Everywhere (15m) — pairsRound 1: Share Out5m: Class reconvenes to share observationsRound 1: Share Out (5m) — whole classRound 2: The Neuron Gap15m: New partners discuss the gap between biological and artificial neuronspairsRound 2: The Neuron Gap (15m) — pairsRound 2: Share Out5m: Class reconvenes to share observationsRound 2: Share Out (5m) — whole classRound 3: What Emerges at Scale15m: New partners discuss emergence at scalepairsRound 3: What Emerges at Scale (15m) — pairsRound 3: Share Out5m: Class reconvenes to share observationsRound 3: Share Out (5m) — whole classRound 4: So What?12m: New partners synthesize the big picturepairsRound 4: So What? (12m) — pairsWrap-Up3m: Brief closing reflectionWrap-Up (3m) — whole classFeedback5m: Quick feedback on the discussionFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: Emergence Everywhere15mpairs
2Round 1: Share Out5mwhole class
3Round 2: The Neuron Gap15mpairs
4Round 2: Share Out5mwhole class
5Round 3: What Emerges at Scale15mpairs
6Round 3: Share Out5mwhole class
7Round 4: So What?12mpairs
8Wrap-Up3mwhole class
9Feedback5mwhole class

Embeddings and Knowledge

Mar 24 · 70m · 7 stages

Guided Exploration15mGuided Exploration (15m) — whole classWhat Surprised You?5m: Capture your observations before discussingWhat Surprised You? (5m) — whole classPaired Sharing10m: Share your discoveries with a partnerpairsPaired Sharing (10m) — pairsGroup Discussion15m: Join a small group to discuss with an AI facilitatorpairsGroup Discussion (15m) — pairsClass Synthesis15m: Class reconvenes for instructor-led discussionClass Synthesis (15m) — whole classWrap-Up5m: Brief closing reflectionWrap-Up (5m) — whole classFeedback5m: Quick feedbackFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Guided Exploration15mwhole class
2What Surprised You?5mwhole class
3Paired Sharing10mpairs
4Group Discussion15mpairs
5Class Synthesis15mwhole class
6Wrap-Up5mwhole class
7Feedback5mwhole class

Training Data and Its Costs

Mar 26 · 85m · 9 stages

Round 1: Energy and Infrastructure15m: Partners discuss what AI physically costspairsRound 1: Energy and Infrastructure (15m) — pairsRound 1: Share Out5m: Class reconvenes to share observationsRound 1: Share Out (5m) — whole classRound 2: Who Pays?15m: New partners discuss who bears the costs of AIpairsRound 2: Who Pays? (15m) — pairsRound 2: Share Out5m: Class reconvenes to share observationsRound 2: Share Out (5m) — whole classRound 3: Whose Work?15m: New partners discuss intellectual property and the double standardpairsRound 3: Whose Work? (15m) — pairsRound 3: Share Out5m: Class reconvenes to share observationsRound 3: Share Out (5m) — whole classRound 4: Who Decides?15m: New partners discuss governance and democratic controlpairsRound 4: Who Decides? (15m) — pairsRound 4: Share Out5m: Class reconvenes to share observationsRound 4: Share Out (5m) — whole classWrap-Up5m: Brief closing reflectionWrap-Up (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: Energy and Infrastructure15mpairs
2Round 1: Share Out5mwhole class
3Round 2: Who Pays?15mpairs
4Round 2: Share Out5mwhole class
5Round 3: Whose Work?15mpairs
6Round 3: Share Out5mwhole class
7Round 4: Who Decides?15mpairs
8Round 4: Share Out5mwhole class
9Wrap-Up5mwhole class

Data Analysis Lab

Mar 31 · 75m · 6 stages

Dataset Selection & Strategy10mpairsDataset Selection & Strategy (10m) — pairsStrategy Share-Out5m: Class reviews analysis questionsStrategy Share-Out (5m) — whole classAI-Assisted Analysis25m: Individual work with AIAI-Assisted Analysis (25m) — whole classSubmission10m: Submit your findingsSubmission (10m) — whole classGallery & Discussion20m: Class reviews visualizationsGallery & Discussion (20m) — whole classFeedback5m: Quick feedback on the sessionFeedback (5m) — whole class
Data:QuestionsMedia
Stage details
#StageDurationTypeFeatures
1Dataset Selection & Strategy10mpairs
2Strategy Share-Out5mwhole class
3AI-Assisted Analysis25mwhole class
4Submission10mwhole class
5Gallery & Discussion20mwhole class
6Feedback5mwhole class

AI and Work

Apr 2 · 80m · 8 stages

Round 1: Your Own Experience10m: Partners discuss their experience using AI as a toolpairsRound 1: Your Own Experience (10m) — pairsRound 1: Share Out10m: Class reconvenes to share observationsRound 1: Share Out (10m) — whole classRound 2: What's Actually Happening10m: New partners discuss how AI is changing work right nowpairsRound 2: What's Actually Happening (10m) — pairsRound 2: Share Out10m: Class reconvenes to share observationsRound 2: Share Out (10m) — whole classRound 3: Horse or Coal?10m: New partners apply the framework to their own futurespairsRound 3: Horse or Coal? (10m) — pairsRound 3: Share Out10m: Class reconvenes to share observationsRound 3: Share Out (10m) — whole classRound 4: Who Decides?10m: New partners discuss governance and worker agencypairsRound 4: Who Decides? (10m) — pairsRound 4: Share Out10m: Class reconvenes to share observationsRound 4: Share Out (10m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: Your Own Experience10mpairs
2Round 1: Share Out10mwhole class
3Round 2: What's Actually Happening10mpairs
4Round 2: Share Out10mwhole class
5Round 3: Horse or Coal?10mpairs
6Round 3: Share Out10mwhole class
7Round 4: Who Decides?10mpairs
8Round 4: Share Out10mwhole class

How AI Learns to Be Helpful

Apr 7 · 75m · 9 stages

Explore: Match the Training Stage10mpairsExplore: Match the Training Stage (10m) — pairsDiscussion: What Did You Notice?10m: Class discusses patterns they observed across training stagesDiscussion: What Did You Notice? (10m) — whole classExplore: Be the Preference Rater10m: Same partners practice ranking model outputspairsExplore: Be the Preference Rater (10m) — pairsDiscussion: What Is 'Good' AI?10m: Class discusses their ranking disagreementsDiscussion: What Is 'Good' AI? (10m) — whole classGenerate Questions10m: New partners generate questions about the training processpairsGenerate Questions (10m) — pairsQuestion Review5m: Class reviews and selects a question to investigateQuestion Review (5m) — whole classInvestigate10m: Partners investigate the selected questionpairsInvestigate (10m) — pairsShare Out5m: Groups share what they discoveredShare Out (5m) — whole classFeedback5m: Quick feedback on the sessionFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Explore: Match the Training Stage10mpairs
2Discussion: What Did You Notice?10mwhole class
3Explore: Be the Preference Rater10mpairs
4Discussion: What Is 'Good' AI?10mwhole class
5Generate Questions10mpairs
6Question Review5mwhole class
7Investigate10mpairs
8Share Out5mwhole class
9Feedback5mwhole class

AI Companions, Agents, and Trust

Apr 9 · 80m · 8 stages

Round 1: Your AI Self10m: Partners discuss their personal experience with AI beyond schoolworkpairsRound 1: Your AI Self (10m) — pairsRound 1: Share Out10m: Class reconvenes to share observationsRound 1: Share Out (10m) — whole classRound 2: Real Enough to Matter10m: New partners discuss whether simulated connection 'counts'pairsRound 2: Real Enough to Matter (10m) — pairsRound 2: Share Out10m: Class reconvenes to share observationsRound 2: Share Out (10m) — whole classRound 3: Acting on Your Behalf10m: New partners discuss AI agents and autonomypairsRound 3: Acting on Your Behalf (10m) — pairsRound 3: Share Out10m: Class reconvenes to share observationsRound 3: Share Out (10m) — whole classRound 4: Who's Responsible?10m: New partners discuss design responsibilitypairsRound 4: Who's Responsible? (10m) — pairsRound 4: Share Out10m: Class reconvenes to share observationsRound 4: Share Out (10m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: Your AI Self10mpairs
2Round 1: Share Out10mwhole class
3Round 2: Real Enough to Matter10mpairs
4Round 2: Share Out10mwhole class
5Round 3: Acting on Your Behalf10mpairs
6Round 3: Share Out10mwhole class
7Round 4: Who's Responsible?10mpairs
8Round 4: Share Out10mwhole class

Creating Websites

Apr 14 · 75m · 5 stages

Brainstorming10m: Decide what you want to buildBrainstorming (10m) — whole classShare-Out10m: See what everyone's planningShare-Out (10m) — whole classBuild Your Site35m: Individual work with ReplitBuild Your Site (35m) — whole classGallery15m: Browse what everyone builtGallery (15m) — whole classFeedback5m: Quick feedback on today's labFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Brainstorming10mwhole class
2Share-Out10mwhole class
3Build Your Site35mwhole class
4Gallery15mwhole class
5Feedback5mwhole class

AI Safety, Alignment, and Governance

Apr 16 · 80m · 8 stages

Round 1: What Is Alignment?10m: Partners discuss what alignment means and whose values get encodedpairsRound 1: What Is Alignment? (10m) — pairsRound 1: Share Out10m: Class reconvenes to share observationsRound 1: Share Out (10m) — whole classRound 2: The Anthropic Dilemma10m: New partners discuss Anthropic's position and the safety-commerce tensionpairsRound 2: The Anthropic Dilemma (10m) — pairsRound 2: Share Out10m: Class reconvenes to share observationsRound 2: Share Out (10m) — whole classRound 3: Government and AI10m: New partners discuss government access to AI systemspairsRound 3: Government and AI (10m) — pairsRound 3: Share Out10m: Class reconvenes to share observationsRound 3: Share Out (10m) — whole classRound 4: Who Decides?10m: New partners discuss governance structures for AIpairsRound 4: Who Decides? (10m) — pairsRound 4: Share Out10m: Class reconvenes to share observationsRound 4: Share Out (10m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: What Is Alignment?10mpairs
2Round 1: Share Out10mwhole class
3Round 2: The Anthropic Dilemma10mpairs
4Round 2: Share Out10mwhole class
5Round 3: Government and AI10mpairs
6Round 3: Share Out10mwhole class
7Round 4: Who Decides?10mpairs
8Round 4: Share Out10mwhole class

The Future of AI

Apr 21 · 90m · 11 stages

Round 1: The Mixture of Experts Bet10m: Partners discuss how MoE changes the 'bigger is better' assumptionpairsRound 1: The Mixture of Experts Bet (10m) — pairsRound 1: Share Out10m: Class reconvenes to share observationsRound 1: Share Out (10m) — whole classRound 2: AI in Your Pocket10m: New partners discuss local and on-device AIpairsRound 2: AI in Your Pocket (10m) — pairsRound 2: Share Out10m: Class reconvenes to share observationsRound 2: Share Out (10m) — whole classRound 3: The Specialist vs. the Generalist10m: New partners discuss specialized vs. general-purpose AIpairsRound 3: The Specialist vs. the Generalist (10m) — pairsRound 3: Share Out10m: Class reconvenes to share observationsRound 3: Share Out (10m) — whole classGenerate Questions5m: New partners generate questions about the future of AIpairsGenerate Questions (5m) — pairsQuestion Review5m: Class reviews and selects a question to investigateQuestion Review (5m) — whole classInvestigate: The AGI Question10m: Partners investigate the selected question in the context of AGIpairsInvestigate: The AGI Question (10m) — pairsShare Out5m: Groups share what they discussedShare Out (5m) — whole classFeedback5m: Quick feedback on the sessionFeedback (5m) — whole class
Stage details
#StageDurationTypeFeatures
1Round 1: The Mixture of Experts Bet10mpairs
2Round 1: Share Out10mwhole class
3Round 2: AI in Your Pocket10mpairs
4Round 2: Share Out10mwhole class
5Round 3: The Specialist vs. the Generalist10mpairs
6Round 3: Share Out10mwhole class
7Generate Questions5mpairs
8Question Review5mwhole class
9Investigate: The AGI Question10mpairs
10Share Out5mwhole class
11Feedback5mwhole class