ViralLoop

New on our Frontier Red Team blog: We tested whether AIs can exploit blockchain smart contracts. In simulated testing, AI agents found $4.6M in exploits. The research (with @MATSprogram and the Anthropic Fellows program) also developed a new benchmark: t.co

4.7K likes343 repliesPosted Dec 1, 2025

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Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Uses concrete numbers instead of vague claims, which makes it credible and quotable.
Points at real customers, users or results as evidence rather than assertion.
Follows a clear Hook → Context → Landing shape, so the reader always knows where they are.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.
Short sentences keep the pace up, so the reader never has to re-read a line.

The mechanics

Hook: Plain observation
Structure: Hook → Context → Landing
Style: Conversational paragraphs at a steady pace.
Tone: concrete, punchy, corporate
Mechanisms: Specificity, Social proof
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

AI Hiring Science

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