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ARC Prize on AI · ViralLoop

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ARC Prize@arcprize

In addition to achieving state-of-the-art scores on ARC-AGI-3, GPT-6 Astra achieved a record 95.0% on ARC-AGI-2 at $1.12/task, and tied Fable 5's high score of 98.5% at $0.28/task. Full results: t.co

158 likes6 repliesPosted Sep 3, 2026

View the original on X Written by ARC Prize. Captured Sep 4, 2026.

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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.
Ends on a short line that is easy to quote and repeat.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: plain, matter-of-fact
Mechanisms: Specificity
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

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More from ARC Prize

GPT-6 Astra by @OpenAI achieves SOTA on ARC-AGI: - Astra scores 63% on ARC-AGI-3, 99% via a new provider adapter harness - It surpasses human performance on 96% of ARC-AGI-3 levels - It builds the most precise symbolic model of novel environments we've seen Our analysis:

We had early access to Anthropic’s Fable 5, but did not run verified Semi-Private ARC-AGI-1/2/3 evals due to their new data-retention terms for Mythos-class models. We’re working with Anthropic to keep ARC verification data private. Scores will come once we can run them safely.

We created an in-house game studio and built 135 novel environments from scratch No instructions, Core Knowledge Priors-only In order to beat these games, AI must: • Explore the environment • Form hypotheses • Execute a plan • Learn and adapt

Announcing ARC-AGI-3 The only unsaturated agentic intelligence benchmark in the world Humans score 100%, AI <1% This human-AI gap demonstrates we do not yet have AGI Most benchmarks test what models already know, ARC-AGI-3 tests how they learn

Gemini 3 Flash Preview (High) on ARC-AGI Semi-Private Eval - ARC-AGI-1: 84.7%, $0.17/task - ARC-AGI-2: 33.6%, $0.23/task Competitive performance at a substantially lower cost than other frontier models

A year ago, we verified a preview of an unreleased version of @OpenAI o3 (High) that scored 88% on ARC-AGI-1 at est. $4.5k/task Today, we’ve verified a new GPT-5.2 Pro (X-High) SOTA score of 90.5% at $11.64/task This represents a ~390X efficiency improvement in one year