White House Names China's AI Distillation A National Security Threat
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Jane Sterling
Policy & National Security
Sterling Intelligence
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Stat Callout CardData Overlay
Slides in over footage to highlight a key number. Counts up automatically. Auto-dismisses at 3s.
Anthropic Distillation Disclosure
0
Fraudulent accounts running coordinated extraction Anthropic · February 2026
▲ Industrial-scale campaign
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Total Claude Exchanges Harvested
0M
Across roughly 24,000 fake accounts Anthropic · February 2026
▲ Aggregate over weeks
Multi-Metric StripDashboard
Three stats in a bottom bar that slides up over footage.
Three Chinese Labs · Anthropic Disclosure
13M
MiniMax exchanges
3M+
Moonshot AI exchanges
150K
DeepSeek exchanges
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MiniMax Share of Campaign
0M
More than 13 million Claude exchanges MiniMax · via commercial proxies
▲ Largest single-lab volume
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DeepSeek Targeted Volume
0
Tightly focused on logic and alignment DeepSeek · Anthropic disclosure
▲ Smallest count, highest signal density
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NSTM-4 Named Adversaries
#3
Chinese AI Labs Cited
OSTP Memo · April 23, 2026
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AI Theft Framing
Private-Sector Allegations (2025–2026)
0declarative
VS
Federal Government Memo (NSTM-4)
0declarative
Capture order: top to bottom. Click any preview to enter fullscreen with a 3-second countdown — perfect for OBS. Recording: use OBS Window Capture cropped to the preview frame, or fullscreen + display capture. Hit Replay, then record. Output drops as an overlay track in your editor. Palette: the palette saved in motion_kit auto-applies here via localStorage.
Editor workflow — what to do after capturing here:
Generate the avatar look in HeyGen using this episode's
HEYGEN_LOOK prompt + the SCRIPT field as the read.
Kick the render and grab a coffee.
While HeyGen renders:
capture the motion graphics above (top-to-bottom = capture order),
grab b-roll, gather logos / photos as transparent PNGs,
drop everything into your working folder.
When HeyGen finishes: download both the rendered
video and the timecoded transcript (.srt or
.vtt). Drop the transcript at: /home/jaysoncraig/public_html/sandbox/data/faces/.build/china-distillation/transcript.srt
Generate the Resolve marker CSV + printable shot-list: python3 /home/jaysoncraig/.claude/scripts/generate-resolve-markers.py --slug china-distillation Outputs:
/home/jaysoncraig/public_html/sandbox/data/faces/.build/china-distillation/timeline-markers.csv and
/home/jaysoncraig/public_html/sandbox/data/faces/.build/china-distillation/shot-list.html
Open DaVinci Resolve, set the project framerate (the marker tool
emits 30fps by default; pass --framerate 60 if your
project is 60), drop the HeyGen video on V1.
Timeline header → Import → Marker List from CSV →
select timeline-markers.csv. Every cue lands as a
colored marker on the correct track:
Yellow=TalkingHead,
Cyan=VoiceoverScene,
Red=Cut,
Green=B-roll,
Pink=StatCard.
Drop motion-graphic captures, b-roll clips, and stat-card overlays
onto the marked positions. The shot-list HTML is your printable
fallback if any markers look off.
Export → render → upload. After publish, drop the YouTube URL
into the episode's .repurpose.txt placeholders for
the cross-channel pack.