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