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$FIRMA

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Snapshot Window: 2026-09-24 02:10 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
87
Total Likes
1
Retweets & Quotes
0
Comments
0

Social Momentum Summary

Total Engagement - Comments: 0, Retweets: 0, Likes: 1, Impressions: 87

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@0xCVYH

Eikos is open (MIT). Decision models (System One) of 4B and 27B: decide in a single pass and state the probability of each option. • 27B: 82.9% on JevBench hard (Jev: 73.0) • 2.4% error with ≥90% certainty (Jev: 5.9%) • 64k context Same items, same score: 8 batteries

The image is a bar chart titled "Same items, same scoring" comparing accuracy (%) across eight benchmarks for four models: Eikos-27B (orange), Eikos-4B (light yellow), Jev (light blue), and Laya (dark blue). Key results shown include Eikos-27B achieving 82.9% on JevBench-hard, 83.4% on DecisionBench, and 95.3% on Compositional rules, generally outperforming or matching Jev across categories while Laya scores notably lower on most benchmarks (e.g., 36.1% on DecisionBench, 42.9% on Compositional rules). The chart visually reinforces the post's claim that Eikos (open-source from MIT) achieves superior or comparable performance to Jev on the same evaluation items, highlighting strengths in decision-making benchmarks with both 27B and 4B parameter versions.

AI visual note: The image is a bar chart titled "Same items, same scoring" comparing accuracy (%) across eight benchmarks for four models: Eikos-27B (orange), Eikos-4B (light yellow), Jev (light blue), and Laya (dark blue). Key results shown include Eikos-27B achieving 82.9% on JevBench-hard, 83.4% on DecisionBench, and 95.3% on Compositional rules, generally outperforming or matching Jev across categories while Laya scores notably lower on most benchmarks (e.g., 36.1% on DecisionBench, 42.9% on Compositional rules). The chart visually reinforces the post's claim that Eikos (open-source from MIT) achieves superior or comparable performance to Jev on the same evaluation items, highlighting strengths in decision-making benchmarks with both 27B and 4B parameter versions.

Contributing Voices for $FIRMA

@EricLima81