josh
416b6bfe8d
Research now costs money (drained per-tick) with ~2.5-3.5x longer durations by category. Early-game talent budget costs reduced via era multiplier (startup 0.2x → bigtech 1.0x). New seed-driven PersonaStrategy with 8 axes of variation for meaningful multi-run testing. CI multi-run switched from greedy to persona strategy. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
490 lines
19 KiB
TypeScript
490 lines
19 KiB
TypeScript
import type { ResearchNode } from '@ai-tycoon/shared';
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export const TECH_TREE: ResearchNode[] = [
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// === COMPUTE / INFRASTRUCTURE ===
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{
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id: 'advanced-cooling',
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name: 'Advanced Cooling',
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description: 'Liquid cooling systems reduce energy costs by 25%.',
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era: 'startup',
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category: 'infrastructure',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 5, ticks: 150, money: 2250 },
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effects: [{ type: 'cost_reduction', target: 'energy', value: 0.25 }],
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},
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{
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id: 'redundancy-protocols',
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name: 'Redundancy Protocols',
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description: 'Fault-tolerant architectures cut GPU failure rates in half.',
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era: 'startup',
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category: 'infrastructure',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 5, ticks: 150, money: 2250 },
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effects: [{ type: 'cost_reduction', target: 'failure_rate', value: 0.5 }],
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},
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{
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id: 'advanced-gpu-arch',
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name: 'Advanced GPU Architecture',
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description: 'Unlocks NVIDIA A100 PCIe and SXM rack configurations.',
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era: 'startup',
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category: 'infrastructure',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 10, ticks: 225, money: 3375 },
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effects: [{ type: 'unlock_rack', target: 'a100', value: 1 }],
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},
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{
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id: 'next-gen-gpu',
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name: 'Next-Gen GPU Architecture',
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description: 'Unlocks NVIDIA H100 and H200 rack configurations.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['advanced-gpu-arch'],
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cost: { researchPoints: 2, compute: 40, ticks: 600, money: 30000 },
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effects: [{ type: 'unlock_rack', target: 'h100', value: 1 }],
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},
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{
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id: 'frontier-compute',
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name: 'Frontier Compute',
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description: 'Unlocks NVIDIA B100 and B200 rack configurations.',
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era: 'bigtech',
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category: 'infrastructure',
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prerequisites: ['next-gen-gpu'],
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cost: { researchPoints: 5, compute: 200, ticks: 1200, money: 240000 },
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effects: [{ type: 'unlock_rack', target: 'b200', value: 1 }],
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},
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{
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id: 'custom-silicon',
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name: 'Custom Silicon Design',
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description: 'Unlocks custom Training and Inference ASIC configurations.',
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era: 'agi',
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category: 'infrastructure',
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prerequisites: ['frontier-compute'],
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cost: { researchPoints: 10, compute: 500, ticks: 2250, money: 1125000 },
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effects: [{ type: 'unlock_rack', target: 'custom', value: 1 }],
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},
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{
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id: 'amd-ecosystem',
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name: 'AMD ROCm Ecosystem',
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description: 'Adapt software stack for AMD GPUs. Unlocks MI250X, MI300X, MI325X racks.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['advanced-gpu-arch'],
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cost: { researchPoints: 2, compute: 30, ticks: 500, money: 25000 },
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effects: [{ type: 'unlock_rack', target: 'amd', value: 1 }],
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},
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{
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id: 'inference-specialization',
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name: 'Inference Specialization',
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description: 'Optimized inference kernels unlock L4, L40S, and custom inference racks.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['quantization'],
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cost: { researchPoints: 2, compute: 20, ticks: 375, money: 18750 },
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effects: [{ type: 'unlock_rack', target: 'inference', value: 1 }],
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},
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{
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id: 'rack-scale-compute',
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name: 'Rack-Scale Computing',
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description: 'Full NVLink domain architecture. Unlocks GB200 NVL72 — 72 GPUs in a single rack.',
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era: 'agi',
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category: 'infrastructure',
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prerequisites: ['frontier-compute'],
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cost: { researchPoints: 8, compute: 400, ticks: 1800, money: 900000 },
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effects: [{ type: 'unlock_rack', target: 'gb200-nvl72', value: 1 }],
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},
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{
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id: 'liquid-cooling-tech',
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name: 'Liquid Cooling Systems',
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description: 'Enables liquid cooling upgrades for data centers. Required for SXM and high-power racks.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['advanced-cooling'],
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cost: { researchPoints: 2, compute: 25, ticks: 450, money: 22500 },
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effects: [{ type: 'unlock_feature', target: 'liquid-cooling', value: 1 }],
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},
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{
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id: 'immersion-cooling-tech',
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name: 'Immersion Cooling',
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description: 'Enables immersion cooling for maximum power density. Required for custom ASICs.',
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era: 'bigtech',
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category: 'infrastructure',
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prerequisites: ['liquid-cooling-tech'],
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cost: { researchPoints: 5, compute: 100, ticks: 1000, money: 200000 },
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effects: [{ type: 'unlock_feature', target: 'immersion-cooling', value: 1 }],
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},
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{
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id: 'infiniband-networking',
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name: 'InfiniBand Networking',
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description: 'High-bandwidth interconnect for distributed training. Unlocks InfiniBand fabric upgrades.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['network-engineering-i'],
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cost: { researchPoints: 3, compute: 40, ticks: 600, money: 30000 },
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effects: [{ type: 'unlock_feature', target: 'infiniband', value: 1 }],
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},
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{
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id: 'dc-engineering-ii',
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name: 'DC Engineering II',
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description: 'Advanced facility design unlocks Medium data centers (500 slots, 3000kW).',
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era: 'startup',
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category: 'infrastructure',
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prerequisites: ['advanced-cooling'],
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cost: { researchPoints: 1, compute: 15, ticks: 300, money: 4500 },
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effects: [{ type: 'unlock_dc_tier', target: 'medium', value: 1 }],
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},
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{
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id: 'dc-engineering-iii',
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name: 'DC Engineering III',
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description: 'Large-scale facility design unlocks Large data centers (1000 slots, 7000kW).',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['dc-engineering-ii'],
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cost: { researchPoints: 3, compute: 60, ticks: 750, money: 37500 },
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effects: [{ type: 'unlock_dc_tier', target: 'large', value: 1 }],
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},
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{
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id: 'dc-engineering-iv',
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name: 'DC Engineering IV',
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description: 'Mega-scale campus design unlocks Mega data centers (1500 slots, 12000kW).',
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era: 'bigtech',
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category: 'infrastructure',
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prerequisites: ['dc-engineering-iii'],
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cost: { researchPoints: 6, compute: 150, ticks: 1500, money: 300000 },
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effects: [{ type: 'unlock_dc_tier', target: 'mega', value: 1 }],
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},
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{
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id: 'quality-assurance',
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name: 'Quality Assurance',
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description: 'Advanced QA processes reduce rack test failure rate by 25%.',
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era: 'startup',
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category: 'infrastructure',
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prerequisites: ['redundancy-protocols'],
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cost: { researchPoints: 1, compute: 10, ticks: 225, money: 3375 },
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effects: [{ type: 'cost_reduction', target: 'test_failure_rate', value: 0.25 }],
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},
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{
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id: 'network-engineering-i',
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name: 'Network Engineering I',
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description: 'Improved network switching reduces Tier-1 failure rate by 40%.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['redundancy-protocols'],
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cost: { researchPoints: 2, compute: 20, ticks: 375, money: 18750 },
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effects: [{ type: 'cost_reduction', target: 'network_failure_rate', value: 0.4 }],
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},
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{
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id: 'network-engineering-ii',
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name: 'Network Engineering II',
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description: 'Spine-leaf architecture reduces all network failure rates by 50%.',
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era: 'bigtech',
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category: 'infrastructure',
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prerequisites: ['network-engineering-i'],
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cost: { researchPoints: 4, compute: 80, ticks: 900, money: 180000 },
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effects: [{ type: 'cost_reduction', target: 'network_failure_rate', value: 0.5 }],
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},
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{
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id: 'network-redundancy',
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name: 'Network Redundancy',
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description: 'Additional uplink per switch at all tiers — reduces disconnect risk from single switch failures.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['network-engineering-i'],
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cost: { researchPoints: 3, compute: 40, ticks: 600, money: 30000 },
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effects: [{ type: 'efficiency_boost', target: 'network_uplinks', value: 1 }],
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},
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{
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id: 'network-fast-repair',
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name: 'Fast Network Repair',
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description: 'Hot-swap switch modules and pre-staged spares reduce network repair time by 40%.',
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era: 'bigtech',
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category: 'infrastructure',
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prerequisites: ['network-engineering-ii'],
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cost: { researchPoints: 5, compute: 100, ticks: 1000, money: 200000 },
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effects: [{ type: 'efficiency_boost', target: 'network_repair_speed', value: 0.4 }],
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},
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{
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id: 'network-hot-standby',
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name: 'Hot Standby Switches',
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description: 'Automated failover with standby switches — failed switches auto-replace in 5 ticks.',
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era: 'agi',
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category: 'infrastructure',
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prerequisites: ['network-fast-repair'],
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cost: { researchPoints: 8, compute: 250, ticks: 1500, money: 750000 },
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effects: [{ type: 'efficiency_boost', target: 'network_hot_standby', value: 5 }],
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},
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{
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id: 'rapid-deployment',
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name: 'Rapid Deployment',
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description: 'Streamlined procurement pipelines reduce deployment times by 20%.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['dc-engineering-ii'],
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cost: { researchPoints: 2, compute: 25, ticks: 450, money: 22500 },
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effects: [{ type: 'efficiency_boost', target: 'pipeline_speed', value: 0.2 }],
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},
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{
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id: 'distributed-training',
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name: 'Distributed Training',
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description: 'Train models across multiple data centers simultaneously. +20% training speed.',
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era: 'scaleup',
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category: 'infrastructure',
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prerequisites: ['advanced-gpu-arch'],
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cost: { researchPoints: 2, compute: 30, ticks: 450, money: 22500 },
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effects: [{ type: 'efficiency_boost', target: 'training_speed', value: 0.2 }],
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},
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// === EFFICIENCY ===
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{
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id: 'quantization',
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name: 'Quantization Research',
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description: 'INT8/INT4 inference reduces compute costs. +15% inference efficiency.',
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era: 'startup',
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category: 'efficiency',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 8, ticks: 188, money: 2820 },
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effects: [{ type: 'efficiency_boost', target: 'inference', value: 0.15 }],
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},
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{
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id: 'distillation',
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name: 'Knowledge Distillation',
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description: 'Train smaller models that retain teacher quality. +10% model capability.',
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era: 'scaleup',
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category: 'efficiency',
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prerequisites: ['quantization'],
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cost: { researchPoints: 2, compute: 25, ticks: 450, money: 22500 },
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effects: [{ type: 'capability_boost', target: 'all', value: 5 }],
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},
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{
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id: 'inference-optimization',
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name: 'Inference Optimization',
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description: 'Optimized kernels and batching. +30% tokens per FLOP.',
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era: 'scaleup',
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category: 'efficiency',
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prerequisites: ['quantization'],
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cost: { researchPoints: 2, compute: 20, ticks: 375, money: 18750 },
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effects: [{ type: 'efficiency_boost', target: 'tokens_per_flop', value: 0.3 }],
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},
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// === MODEL CAPABILITIES ===
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{
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id: 'transformer-v2',
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name: 'Advanced Architectures',
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description: 'Mixture-of-experts and improved attention. +10 base capability.',
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era: 'startup',
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category: 'generation',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 10, ticks: 225, money: 3375 },
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effects: [{ type: 'capability_boost', target: 'all', value: 10 }],
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},
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{
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id: 'reasoning-enhancement',
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name: 'Chain-of-Thought Training',
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description: 'Enhanced reasoning through structured thinking. +15 reasoning.',
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era: 'scaleup',
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category: 'specialization',
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branch: 'reasoning',
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prerequisites: ['transformer-v2'],
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cost: { researchPoints: 3, compute: 40, ticks: 720, money: 36000 },
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effects: [{ type: 'capability_boost', target: 'reasoning', value: 15 }],
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},
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{
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id: 'code-generation',
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name: 'Code Generation',
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description: 'Specialized code understanding and generation. +15 coding.',
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era: 'scaleup',
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category: 'specialization',
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branch: 'coding',
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prerequisites: ['transformer-v2'],
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cost: { researchPoints: 3, compute: 35, ticks: 735, money: 36750 },
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effects: [{ type: 'capability_boost', target: 'coding', value: 15 }],
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},
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{
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id: 'creative-systems',
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name: 'Creative Expression',
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description: 'Enhanced creative writing and artistic understanding. +15 creative.',
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era: 'scaleup',
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category: 'specialization',
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branch: 'creative',
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prerequisites: ['transformer-v2'],
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cost: { researchPoints: 3, compute: 30, ticks: 735, money: 36750 },
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effects: [{ type: 'capability_boost', target: 'creative', value: 15 }],
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},
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{
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id: 'multimodal-fusion',
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name: 'Multi-Modal Fusion',
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description: 'Vision-language integration for image understanding. +20 multimodal. Unlocks Image product.',
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era: 'scaleup',
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category: 'specialization',
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branch: 'multimodal',
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prerequisites: ['transformer-v2'],
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cost: { researchPoints: 4, compute: 50, ticks: 1050, money: 52500 },
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effects: [
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{ type: 'capability_boost', target: 'multimodal', value: 20 },
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{ type: 'unlock_product_line', target: 'image', value: 1 },
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],
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},
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{
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id: 'agentic-architecture',
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name: 'Agentic Architecture',
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description: 'Tool use, planning, and autonomous execution. +20 agents. Unlocks Agents product.',
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era: 'bigtech',
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category: 'specialization',
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branch: 'agents',
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prerequisites: ['reasoning-enhancement', 'code-generation'],
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cost: { researchPoints: 6, compute: 100, ticks: 1680, money: 336000 },
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effects: [
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{ type: 'capability_boost', target: 'agents', value: 20 },
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{ type: 'unlock_product_line', target: 'agents', value: 1 },
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],
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},
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// === SAFETY ===
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{
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id: 'alignment-research',
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name: 'Alignment Research',
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description: 'RLHF and value alignment techniques. +10 safety, +5 reputation.',
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era: 'startup',
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category: 'safety',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 8, ticks: 270, money: 4050 },
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effects: [
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{ type: 'safety_boost', target: 'models', value: 10 },
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{ type: 'capability_boost', target: 'reputation', value: 5 },
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],
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},
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{
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id: 'interpretability',
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name: 'Interpretability',
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description: 'Understand model reasoning and detect failure modes. +10 safety, +5 reputation.',
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era: 'scaleup',
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category: 'safety',
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prerequisites: ['alignment-research'],
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cost: { researchPoints: 3, compute: 40, ticks: 720, money: 36000 },
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effects: [
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{ type: 'safety_boost', target: 'models', value: 10 },
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{ type: 'capability_boost', target: 'reputation', value: 5 },
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],
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},
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{
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id: 'constitutional-ai',
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name: 'Constitutional AI',
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description: 'Self-supervised alignment at scale. +15 safety, +10 reputation.',
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era: 'bigtech',
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category: 'safety',
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prerequisites: ['interpretability'],
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cost: { researchPoints: 5, compute: 80, ticks: 1260, money: 252000 },
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effects: [
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{ type: 'safety_boost', target: 'models', value: 15 },
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{ type: 'capability_boost', target: 'reputation', value: 10 },
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],
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},
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// === MARKET / PRODUCTS ===
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{
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id: 'code-assistant-product',
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name: 'Code Assistant Product',
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description: 'Launch an AI code assistant product for developers. Requires Code Generation research.',
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era: 'scaleup',
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category: 'specialization',
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branch: 'coding',
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prerequisites: ['code-generation'],
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cost: { researchPoints: 2, compute: 20, ticks: 525, money: 26250 },
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effects: [{ type: 'unlock_product_line', target: 'code-assistant', value: 1 }],
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},
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{
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id: 'developer-relations',
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name: 'Developer Relations',
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description: 'Invest in developer community building. Unlocks dev-rel budget allocation and boosts API adoption.',
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era: 'startup',
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category: 'efficiency',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 3, ticks: 158, money: 2370 },
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effects: [{ type: 'unlock_feature', target: 'developer-relations', value: 1 }],
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},
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{
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id: 'enterprise-sales',
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name: 'Enterprise Sales',
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description: 'Build a formal enterprise sales pipeline. Unlocks enterprise lead generation and contract management.',
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era: 'startup',
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category: 'efficiency',
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prerequisites: [],
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cost: { researchPoints: 0, compute: 3, ticks: 112, money: 1680 },
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effects: [{ type: 'unlock_feature', target: 'enterprise-sales', value: 1 }],
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},
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{
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id: 'sdk-platform',
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name: 'SDK Platform',
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description: 'Comprehensive SDK and tooling platform. Significantly boosts developer ecosystem growth.',
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era: 'scaleup',
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category: 'efficiency',
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prerequisites: ['developer-relations'],
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cost: { researchPoints: 2, compute: 15, ticks: 300, money: 15000 },
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effects: [{ type: 'efficiency_boost', target: 'sdk_coverage', value: 0.3 }],
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},
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{
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id: 'agents-platform-product',
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name: 'Agents Platform Product',
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description: 'Launch an enterprise AI agents platform. Requires Agentic Architecture research.',
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era: 'bigtech',
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category: 'specialization',
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branch: 'agents',
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prerequisites: ['agentic-architecture'],
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cost: { researchPoints: 4, compute: 60, ticks: 1050, money: 210000 },
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effects: [{ type: 'unlock_product_line', target: 'agents-platform', value: 1 }],
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},
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// === SERVING INFRASTRUCTURE ===
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{
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id: 'request-routing',
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name: 'Intelligent Request Routing',
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description: 'Route requests to optimal model size/variant. Unlocks routing strategy and per-tier rate limits.',
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era: 'scaleup',
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category: 'efficiency',
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prerequisites: ['inference-optimization'],
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cost: { researchPoints: 2, compute: 25, ticks: 375, money: 18750 },
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effects: [{ type: 'unlock_feature', target: 'request-routing', value: 1 }],
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},
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{
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id: 'priority-queues',
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name: 'Priority Queue System',
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description: 'SLA-aware scheduling with granular priority controls. Unlocks priority ordering and overflow policies.',
|
|
era: 'scaleup',
|
|
category: 'efficiency',
|
|
prerequisites: ['request-routing'],
|
|
cost: { researchPoints: 3, compute: 30, ticks: 450, money: 22500 },
|
|
effects: [{ type: 'unlock_feature', target: 'priority-queues', value: 1 }],
|
|
},
|
|
{
|
|
id: 'request-batching',
|
|
name: 'Request Batching',
|
|
description: 'Group inference requests for higher throughput. Unlocks Batch API product line at 50% discount.',
|
|
era: 'scaleup',
|
|
category: 'efficiency',
|
|
prerequisites: ['inference-optimization'],
|
|
cost: { researchPoints: 2, compute: 20, ticks: 300, money: 15000 },
|
|
effects: [{ type: 'unlock_feature', target: 'request-batching', value: 1 }],
|
|
},
|
|
{
|
|
id: 'auto-scaling',
|
|
name: 'Auto-Scaling Infrastructure',
|
|
description: 'Dynamically reallocate compute during demand spikes. +20% effective capacity headroom.',
|
|
era: 'bigtech',
|
|
category: 'efficiency',
|
|
prerequisites: ['request-routing'],
|
|
cost: { researchPoints: 4, compute: 60, ticks: 750, money: 150000 },
|
|
effects: [{ type: 'efficiency_boost', target: 'auto_scaling', value: 0.2 }],
|
|
},
|
|
|
|
// === DATA ===
|
|
{
|
|
id: 'data-pipeline',
|
|
name: 'Data Pipeline Optimization',
|
|
description: 'Automated data cleaning and deduplication. +20% data quality.',
|
|
era: 'startup',
|
|
category: 'efficiency',
|
|
prerequisites: [],
|
|
cost: { researchPoints: 0, compute: 5, ticks: 150, money: 2250 },
|
|
effects: [{ type: 'efficiency_boost', target: 'data_quality', value: 0.2 }],
|
|
},
|
|
];
|