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$USTC

Stable

Snapshot Window: 2026-07-31 19:00 UTC ยท โ† Back to Crypto Overview

Tracked Posts
1
Total Impressions
112
Total Likes
7
Retweets & Quotes
0
Comments
0

Social Momentum Summary

Total Engagement - Comments: 0, Retweets: 0, Likes: 7, Impressions: 112

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@ambient_xyz

Sorry, this is not a favour to developers. An 80% cut is a claim about the cost of inference so assume raw intelligence keeps getting cheaper on a curve & design for that rather than for today's sticker price.

The scatter plot titled "Artificial Analysis Intelligence Index v4.1" shows GPT-5.6 Luna achieving the highest intelligence score (~51) at roughly $0.06 per task, sitting on a steep cost-intelligence curve, while competitors like Claude Opus 5 Low, GLM-5.2 Max, and Gemini 3.6 Flash cluster at similar intelligence levels but 5-10x higher costs.

The image illustrates the post's point directly: with multiple models now crossing ~50 on the intelligence index across a wide cost spread, designing applications around today's pricing (rather than the rapidly falling inference-cost curve visible here) would mean overpaying as cheaper, equally capable alternatives emerge.

AI visual note: The scatter plot titled "Artificial Analysis Intelligence Index v4.1" shows GPT-5.6 Luna achieving the highest intelligence score (~51) at roughly $0.06 per task, sitting on a steep cost-intelligence curve, while competitors like Claude Opus 5 Low, GLM-5.2 Max, and Gemini 3.6 Flash cluster at similar intelligence levels but 5-10x higher costs. The image illustrates the post's point directly: with multiple models now crossing ~50 on the intelligence index across a wide cost spread, designing applications around today's pricing (rather than the rapidly falling inference-cost curve visible here) would mean overpaying as cheaper, equally capable alternatives emerge.

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