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Post by Seagate on X

Seagate@Seagate

#AI inference inefficiency often comes down to one thing: recomputing context. With agentic AI, that problem scales fast. Our new research with @SKhynix found that KV caching can extend beyond memory using multi-tiered storage. See how: t.co

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13 likes1 repliesPosted Jun 23, 2026

View the original on X Written by Seagate. Captured Sep 7, 2026.

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Viral score

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

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Why it worked

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 → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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Seagate on AI · ViralLoop