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Add Week 4 social features, regulation, and safety tradeoffs

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Leaderboard page with category tabs and score submission, shareable
company stats card with clipboard copy, dynamic regulation system
(compliance costs scale with capability and era, regulatory standing
tracks safety research), 6 geopolitical events (export controls, energy
crisis, natural disaster, AI safety summit, immigration policy, data
sovereignty), safety-capability tradeoff (safety score affects benchmark,
low safety triggers incidents with reputation damage), and enhanced
event consequence handling for regulation and talent types.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Josh Wright
2026-04-24 18:02:30 -04:00
parent 8a8b49d934
commit 0ff8a32b95
12 changed files with 532 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/game-engine/src/data/events.ts
+233
View File
@@ -1559,4 +1559,237 @@ export const EVENT_DEFINITIONS: EventDefinition[] = [
defaultChoiceIndex: 0,
expiryTicks: 360,
},
// ============================================================
// GEOPOLITICAL EVENTS (6)
// ============================================================
{
id: 'geo_export_controls',
title: 'New AI Export Controls',
descriptionTemplate:
'The government has announced export controls on advanced AI chips and models. International operations may be affected.',
category: 'regulatory',
eras: ['scaleup', 'bigtech', 'agi'],
weight: 6,
cooldownTicks: 1200,
maxOccurrences: 2,
prerequisites: [],
conditions: [{ field: 'models.trainedModels.length', operator: 'gte', value: 2 }],
choices: [
{
label: 'Lobby for exemptions',
description: 'Spend money to lobby policymakers for carve-outs.',
consequences: [
{ type: 'money', value: -100000 },
{ type: 'regulation', value: 10 },
],
},
{
label: 'Comply and adapt',
description: 'Accept the restrictions and restructure international operations.',
consequences: [
{ type: 'reputation', value: 5 },
{ type: 'regulation', value: 5 },
{ type: 'money', value: -30000 },
],
},
{
label: 'Challenge in court',
description: 'File a legal challenge. Risky but could set favorable precedent.',
consequences: [
{ type: 'money', value: -200000 },
{ type: 'regulation', value: -10 },
{ type: 'reputation', value: -5 },
],
},
],
defaultChoiceIndex: 1,
expiryTicks: 300,
},
{
id: 'geo_energy_crisis',
title: 'Energy Crisis in Data Center Region',
descriptionTemplate:
'A regional energy crisis is driving electricity costs up 40% in key data center locations. Your infrastructure costs are spiking.',
category: 'market',
eras: ['scaleup', 'bigtech', 'agi'],
weight: 5,
cooldownTicks: 1500,
maxOccurrences: 2,
prerequisites: [],
conditions: [{ field: 'infrastructure.dataCenters.length', operator: 'gte', value: 1 }],
choices: [
{
label: 'Negotiate long-term energy contracts',
description: 'Lock in rates now before they go higher. Requires upfront capital.',
consequences: [
{ type: 'money', value: -150000 },
],
},
{
label: 'Invest in on-site renewable energy',
description: 'Install solar panels and battery storage. High upfront cost, long-term savings.',
consequences: [
{ type: 'money', value: -300000 },
{ type: 'reputation', value: 10 },
],
},
{
label: 'Absorb the costs',
description: 'Take the hit and hope prices normalize.',
consequences: [
{ type: 'money', value: -50000 },
],
},
],
defaultChoiceIndex: 2,
expiryTicks: 300,
},
{
id: 'geo_natural_disaster',
title: 'Natural Disaster Threatens Data Center',
descriptionTemplate:
'Severe weather has been reported near one of your data center locations. Your ops team is preparing contingency plans.',
category: 'industry',
eras: ['startup', 'scaleup', 'bigtech', 'agi'],
weight: 4,
cooldownTicks: 1800,
maxOccurrences: 3,
prerequisites: [],
conditions: [{ field: 'infrastructure.dataCenters.length', operator: 'gte', value: 1 }],
choices: [
{
label: 'Activate disaster recovery',
description: 'Failover to backup systems. Costs money but protects uptime.',
consequences: [
{ type: 'money', value: -50000 },
{ type: 'reputation', value: 3 },
],
},
{
label: 'Ride it out',
description: 'Hope the storm misses. Save money but risk downtime.',
consequences: [
{ type: 'reputation', value: -8 },
],
},
],
defaultChoiceIndex: 0,
expiryTicks: 180,
},
{
id: 'geo_ai_safety_summit',
title: 'International AI Safety Summit',
descriptionTemplate:
'World leaders are convening a summit on AI safety. You have been invited to present your company\'s approach to responsible AI.',
category: 'regulatory',
eras: ['scaleup', 'bigtech', 'agi'],
weight: 6,
cooldownTicks: 1500,
maxOccurrences: 2,
prerequisites: [],
conditions: [{ field: 'reputation.score', operator: 'gte', value: 30 }],
choices: [
{
label: 'Sign voluntary safety commitments',
description: 'Join the safety pledge. Good PR, but constrains future development speed.',
consequences: [
{ type: 'reputation', value: 15 },
{ type: 'regulation', value: 10 },
{ type: 'research_speed', value: -0.05 },
],
},
{
label: 'Attend but make no commitments',
description: 'Show up, listen, and keep your options open.',
consequences: [
{ type: 'reputation', value: 3 },
],
},
{
label: 'Skip the summit',
description: 'Your engineers have models to train. No time for politics.',
consequences: [
{ type: 'reputation', value: -10 },
{ type: 'regulation', value: -5 },
],
},
],
defaultChoiceIndex: 1,
expiryTicks: 240,
},
{
id: 'geo_talent_immigration',
title: 'Immigration Policy Changes',
descriptionTemplate:
'New immigration restrictions are making it harder to recruit international AI talent. Your HR team is concerned about pipeline impact.',
category: 'regulatory',
eras: ['scaleup', 'bigtech'],
weight: 4,
cooldownTicks: 1200,
maxOccurrences: 1,
prerequisites: [],
conditions: [],
choices: [
{
label: 'Open a remote research lab abroad',
description: 'Set up a satellite research office in a talent-friendly country.',
consequences: [
{ type: 'money', value: -200000 },
{ type: 'talent', value: 5, target: 'research' },
],
},
{
label: 'Increase domestic salaries',
description: 'Compete harder for local talent with premium compensation.',
consequences: [
{ type: 'money', value: -100000 },
{ type: 'talent', value: 2, target: 'research' },
],
},
],
defaultChoiceIndex: 1,
expiryTicks: 360,
},
{
id: 'geo_data_sovereignty',
title: 'Data Sovereignty Regulations',
descriptionTemplate:
'Multiple countries are enacting data localization laws. User data must be stored within national borders, complicating your global infrastructure.',
category: 'regulatory',
eras: ['bigtech', 'agi'],
weight: 5,
cooldownTicks: 1500,
maxOccurrences: 1,
prerequisites: [],
conditions: [{ field: 'market.consumers.totalSubscribers', operator: 'gte', value: 5000 }],
choices: [
{
label: 'Build regional data centers',
description: 'Comply by deploying infrastructure in affected regions. Expensive but thorough.',
consequences: [
{ type: 'money', value: -500000 },
{ type: 'regulation', value: 15 },
{ type: 'reputation', value: 5 },
],
},
{
label: 'Withdraw from those markets',
description: 'Stop serving users in affected regions to avoid compliance costs.',
consequences: [
{ type: 'reputation', value: -10 },
],
},
{
label: 'Implement data partitioning',
description: 'Use technical solutions to segment data by region without new DCs.',
consequences: [
{ type: 'money', value: -100000 },
{ type: 'regulation', value: 5 },
],
},
],
defaultChoiceIndex: 2,
expiryTicks: 360,
},
];
packages/game-engine/src/systems/economySystem.ts
+7 -2
View File
@@ -1,5 +1,5 @@
import type { GameState, EconomyState, InfrastructureState } from '@ai-tycoon/shared';
import { FINANCIAL_SNAPSHOT_INTERVAL, MAX_FINANCIAL_HISTORY } from '@ai-tycoon/shared';
import { FINANCIAL_SNAPSHOT_INTERVAL, MAX_FINANCIAL_HISTORY, REGULATION_COMPLIANCE_PER_CAPABILITY } from '@ai-tycoon/shared';
import type { MarketTickResult } from './marketSystem';
export function processEconomy(
@@ -15,7 +15,12 @@ export function processEconomy(
const talentExpenses = state.talent.totalSalaryPerTick;
const dataExpenses = state.data.partnerships.reduce((sum, p) => sum + p.costPerTick, 0);
const expenses = infraExpenses + talentExpenses + dataExpenses;
const bestCapability = state.models.trainedModels.reduce((best, m) => Math.max(best, m.benchmarkScore), 0);
const eraIdx = ['startup', 'scaleup', 'bigtech', 'agi'].indexOf(state.meta.currentEra);
const complianceCost = bestCapability > 30 ? bestCapability * REGULATION_COMPLIANCE_PER_CAPABILITY * (1 + eraIdx * 0.5) / 100 : 0;
const expenses = infraExpenses + talentExpenses + dataExpenses + complianceCost;
const money = state.economy.money + revenue - expenses;
packages/game-engine/src/systems/modelSystem.ts
+9 -3
View File
@@ -65,10 +65,16 @@ function createTrainedModel(
speed: Math.max(1, 100 - compute * 0.5 + efficiencyBonus * 2),
};
const benchmarkScore = (capabilities.reasoning * 0.3 + capabilities.coding * 0.25 +
capabilities.creative * 0.2 + capabilities.multimodal * 0.15 + capabilities.agents * 0.1);
const safetyResearch = state.research.completedResearch.filter(
r => r.includes('alignment') || r.includes('interpretability') || r.includes('constitutional'),
).length;
const safetyScore = Math.min(100, 30 + safetyResearch * 15 + Math.random() * 10);
const safetyScore = 50 + Math.random() * 20;
const safetyPenalty = safetyScore > 60 ? (safetyScore - 60) * 0.1 : 0;
const benchmarkScore = Math.max(0,
(capabilities.reasoning * 0.3 + capabilities.coding * 0.25 +
capabilities.creative * 0.2 + capabilities.multimodal * 0.15 + capabilities.agents * 0.1) - safetyPenalty,
);
const parameterCount = Math.pow(10, generation) * (0.5 + Math.random());
packages/game-engine/src/systems/reputationSystem.ts
+50 -4
View File
@@ -1,8 +1,48 @@
import type { GameState, ReputationState } from '@ai-tycoon/shared';
import { MAX_REPUTATION_HISTORY } from '@ai-tycoon/shared';
import {
MAX_REPUTATION_HISTORY,
SAFETY_INCIDENT_PROBABILITY_BASE,
SAFETY_INCIDENT_REPUTATION_HIT,
LOW_SAFETY_THRESHOLD,
} from '@ai-tycoon/shared';
export function processReputation(state: GameState): ReputationState {
const { safetyRecord, publicPerception, employeeSatisfaction, regulatoryStanding } = state.reputation;
export interface ReputationTickResult {
reputation: ReputationState;
safetyIncident: boolean;
}
export function processReputation(state: GameState): ReputationState & { _safetyIncident?: boolean } {
let { safetyRecord, publicPerception, employeeSatisfaction, regulatoryStanding } = state.reputation;
const bestModel = state.models.trainedModels
.filter(m => m.isDeployed)
.sort((a, b) => b.benchmarkScore - a.benchmarkScore)[0];
let safetyIncident = false;
if (bestModel) {
const safetyLevel = bestModel.safetyScore;
if (safetyLevel < LOW_SAFETY_THRESHOLD && state.meta.tickCount % 60 === 0) {
const incidentProb = SAFETY_INCIDENT_PROBABILITY_BASE * (LOW_SAFETY_THRESHOLD - safetyLevel);
if (Math.random() < incidentProb) {
safetyRecord = Math.max(0, safetyRecord - SAFETY_INCIDENT_REPUTATION_HIT);
publicPerception = Math.max(0, publicPerception - SAFETY_INCIDENT_REPUTATION_HIT * 0.5);
safetyIncident = true;
}
}
}
const eraIdx = ['startup', 'scaleup', 'bigtech', 'agi'].indexOf(state.meta.currentEra);
const regulatoryPressure = eraIdx * 5;
const safetyResearchCount = state.research.completedResearch
.filter(r => r.includes('alignment') || r.includes('interpretability') || r.includes('constitutional')).length;
const complianceBonus = safetyResearchCount * 8;
regulatoryStanding = Math.min(100, Math.max(0,
50 + complianceBonus - regulatoryPressure,
));
const talentMorale = Object.values(state.talent.departments)
.reduce((sum, d) => sum + d.morale, 0) / 4;
employeeSatisfaction = talentMorale;
const score = Math.round(
safetyRecord * 0.3 +
@@ -19,9 +59,15 @@ export function processReputation(state: GameState): ReputationState {
}
}
return {
const result: ReputationState & { _safetyIncident?: boolean } = {
...state.reputation,
score,
safetyRecord,
publicPerception,
employeeSatisfaction,
regulatoryStanding,
reputationHistory,
};
if (safetyIncident) result._safetyIncident = true;
return result;
}
packages/game-engine/src/tick.ts
+9 -1
View File
@@ -73,7 +73,15 @@ export function processTick(state: GameState): Partial<GameState> {
});
}
const reputation = processReputation(stateWithTalent);
const reputationResult = processReputation(stateWithTalent);
const { _safetyIncident, ...reputation } = reputationResult;
if (_safetyIncident) {
notifications.push({
title: 'Safety Incident!',
message: 'Your AI model caused a safety incident. Public trust and safety record damaged.',
type: 'danger',
});
}
const economy = processEconomy(stateWithTalent, market, infrastructure);
const data = processData(stateWithTalent);
const competitors = processCompetitors(stateWithTalent);