| # Viraltest v2 — YouTube Script (<2 minutes) |
|
|
| ## Storyboard |
|
|
| ### Shot 1: Hook (0:00–0:10) |
| **Visual:** Split screen — left: scrolling Instagram feed, right: an LLM terminal making decisions |
| **Voiceover:** "What if an AI agent could learn to run your Instagram account — not from a prompt, but by discovering the rules of the world itself?" |
| **On-screen text:** "Viraltest v2 — World Modeling for Instagram" |
|
|
| ### Shot 2: The Problem (0:10–0:25) |
| **Visual:** Stats flying in — "$250B creator economy" (Goldman Sachs 2025), "73% burnout" (Awin 2024), "67M creators" |
| **Voiceover:** "67 million creators compete for attention. 73% burn out. The algorithm changes constantly. No one tells you the rules." |
| **Citation badge:** Goldman Sachs 2025 · Awin 2024 |
|
|
| ### Shot 3: The Environment (0:25–0:50) |
| **Visual:** Animated diagram — agent receives sparse observation → calls tools → gets data → plans day |
| **Voiceover:** "We built a 30-day Instagram simulation. The agent sees almost nothing — just energy, followers, and last reward. To learn, it must use 8 discoverable tools: query trends, check competitors, test plans before committing." |
| **On-screen text:** "8 tools · 5 audience segments · 7 competitor archetypes · 30-day horizon" |
| **Citation badge:** Buffer 9.6M · Sprout Social 2B · Van Dongen 2003 |
|
|
| ### Shot 4: The Science (0:50–1:10) |
| **Visual:** Side-by-side comparison tables showing env constants vs. source data |
| **Voiceover:** "Every number comes from real research. Engagement rates from Socialinsider's 31-million post study. Peak hours from Buffer's 9.6-million post analysis. Sleep decay from a 2003 Sleep journal paper. Algorithm signals from Instagram's own head, Adam Mosseri." |
| **Citation badge:** Mosseri Jan-2025 · Socialinsider 2026 · PMID 12683469 |
|
|
| ### Shot 5: Training Results (1:10–1:30) |
| **Visual:** Reward curve plot (ascending), before/after bar chart |
| **Voiceover:** "We trained Qwen 2.5 1.5B using TRL GRPO. After 200 episodes, the agent learned to use tools strategically, post at peak hours, diversify content types, and manage energy — outperforming the baseline on all three tasks." |
| **On-screen text:** reward curve + score comparison |
|
|
| ### Shot 6: Theme Fit + Close (1:30–1:50) |
| **Visual:** Theme #3.1 checklist being checked off — tool discovery, partial observability, persistent state, causal reasoning, multi-step workflow |
| **Voiceover:** "This is Theme 3.1: World Modeling. Real tool interaction. Persistent state across months. Causal reasoning through counterfactual feedback. Not a toy — a simulation grounded in science." |
| **On-screen text:** "All sources: RESEARCH.md · Code: github.com/... · Try it: HF Spaces" |
|
|
| --- |
|
|
| **Total runtime:** ~1:50 |
| **Music:** Upbeat lo-fi instrumental (no lyrics) |
| **Aspect ratio:** 16:9 landscape |
|
|