The random events (GPU shortages, regulatory hearings, PR crises, etc.) added interruption without enough gameplay value. Removed all event types, definitions (~1800 lines of event data), the event processor, EventModal UI, store actions, and tick integration. Updated docs to reflect the removal. Bundle size drops ~47kB. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -145,19 +145,6 @@ Three rival AI labs compete with you. Each has a personality:
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In later eras (Big Tech and AGI), you can **acquire** competitors, absorbing their talent and technology.
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### Events
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Random and conditional events keep the game dynamic. Categories include:
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- **Industry**: Breakthroughs, open-source releases, benchmarks
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- **Regulatory**: Hearings, compliance requirements, AI bills
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- **PR/Cultural**: Media coverage, safety debates, public opinion shifts
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- **Internal**: Employee issues, technical problems
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- **Market**: Demand spikes, pricing pressure
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- **Geopolitical**: Export controls, energy crises, natural disasters
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Most events present 2-3 choices with meaningful tradeoffs. Some trigger chain events with delayed consequences.
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### Funding
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Raise capital through VC rounds as you grow:
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@@ -215,7 +202,6 @@ Invest in multiple specializations and diverse products. Spread your compute acr
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- **Timing funding rounds matters.** Raise too early and you give up equity cheaply. Raise too late and you run out of runway.
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- **Safety research compounds.** Each safety project improves all future models.
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- **Check competitor activity.** If a rival just released a strong model, expect to lose some subscribers unless you respond.
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- **Events have lasting consequences.** Read the options carefully — some choices trigger follow-up events.
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- **The data flywheel is real.** More users generate more data, which trains better models, which attract more users.
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- **Deploy your models.** A trained model sitting idle generates zero revenue.
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- **Use speed controls.** Pause when making big decisions. Speed up during waiting periods.
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