ARC Prize ✓
@arcprize · Earth · joined 30 Mar 2024
A North Star for open AGI. Co-founders: @fchollet @mikeknoop. President: @gregkamradt. We're hiring mission-driven builders: https://t.co/GswTSnyCoJ
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ARC-AGI-4 will be a benchmark for autonomous open-ended innovation. It will continue our commitment to open-source, giving the research community a shared target for progress that benefits all of humanity.
Despite rapid model progress, humans still significantly outperform AI at
310.8K views · 2.7K likes
· 238 reposts · 91 replies
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Final call for applications to present at ARC Prize Research Summit in Boston on Oct 23rd
Application deadline: September 14th, 2026, 11:59pm anywhere in the world
Travel expenses will be covered for selected presenters
5.2K views · 32 likes
· 6 reposts · 3 replies
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New ARC Prize 2026 - ARC-AGI-3 High Score
11.04% by @tufalabs https://t.co/vVbFYcP5VF
14.4K views · 146 likes
· 6 reposts · 12 replies
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@arcprize @OpenAI Well thats a new shape on this benchmark https://t.co/0nEcWnAcQJ
7.8K views · 169 likes
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- Leaderboard: https://t.co/x8U1ItOjGR
- Reproduce the ARC-AGI-1 and 2 results: https://t.co/vMqtds9x41
- Reproduce the ARC-AGI-3 results: https://t.co/GfN6dnpDnI
- Testing policy: https://t.co/pBoUqvXLUn
- Full GPT-6 Astra results: https://t.co/3arLJ1hoQR
21.1K views · 93 likes
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Join @fchollet, @mikeknoop, @GregKamradt, and the rest of the ARC Prize Foundation team in a forum for researchers working at the intersection of neural networks, program synthesis, and formal reasoning.
Learn more: https://t.co/0JTlMe9qtL
Attend: https://t.co/H0MWSeU0BT
Apply
18K views · 78 likes
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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: https://t.co/3arLJ1hoQR https://t.co/Fvi31Zexdh
30.5K views · 213 likes
· 7 reposts · 8 replies
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For ARC-AGI-3 we tested GPT-6 Astra with both our Standard harness (the model decides which notes to carry forward) as well as a new provider adapter harness (which preserves opaque reasoning between requests and uses compaction).
Going forward we will test all new models on
25.9K views · 172 likes
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Astra creates a dense compact symbolic world model to complete ARC-AGI-3 environments.
For example, in environment s5i5, Astra:
- Recorded the current level, hub orientation, and mechanism lengths: "L8: hub q2 (8↓). Lengths: 14=1…"
- It mapped operations to exact controls: htt
133.3K views · 337 likes
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Before launching ARC-AGI-3, we tested approximately 500 members of the general public to establish a human baseline for action efficiency, or simply, how quickly did people solve each environment?
This gives us an efficiency metric to compare AI to humans.
With the provider htt
71.5K views · 446 likes
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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: https:
1.2M views · 3.6K likes
· 410 reposts · 135 replies
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New ARC Prize 2026 - ARC-AGI-2 High Score
73.33% by Rabbithole (new 1st place) https://t.co/25FGeolEPZ
11.6K views · 100 likes
· 4 reposts · 3 replies
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New ARC Prize 2026 - ARC-AGI-3 High Score
7.51% by CSTL
Next Milestone Prize is September 30, 2026 https://t.co/yuEkNct3Pf
12.1K views · 127 likes
· 10 reposts · 13 replies
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ARC Prize Research Summit
So far, we’ve received 22 applications to speak and 130+ applications to attend with limited space
Applications to present close September 14
5.1K views · 16 likes
· 3 reposts · 1 replies
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ARC Prize Research Summit 2026
October 23, 2026 - Boston, MA
The ARC Prize community comes together to share new work, challenge ideas, and advance the frontier of machine reasoning towards general intelligence https://t.co/isvB3sVbdI
44.6K views · 58 likes
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@Google We're currently running ARC-AGI-3 evaluations and will publish the results when they're complete.
- Leaderboard: https://t.co/x8U1ItNLRj
- Testing policy: https://t.co/pBoUqvXe4P
- Gemini 3.7 Flash results: https://t.co/h1iFihwSrp
9.1K views · 61 likes
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@Google We also rolled out a feature to make it easier to compare models directly on results pages. For example, you can compare Gemini 3.7 Flash with Gemini 3.6 Flash.
View the results and compare it with other models: https://t.co/h1iFihwSrp https://t.co/i9jq8i9APg
14.5K views · 87 likes
· 4 reposts · 2 replies
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ARC-AGI-3 gives us a formal measure to compare human and AI skill acquisition efficiency
Humans don’t brute force - they build mental models, test ideas, and refine quickly
How close AI is to that? (Spoiler: not close) https://t.co/mfKmZG9Z6H
152K views · 514 likes
· 47 reposts · 13 replies
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Also live today: ARC Prize 2026 - 3 tracks, $2,000,000 in prizes available!
Get involved:
• Play a Game: https://t.co/Cd7ANx2mdT
• Build Agents: https://t.co/Pj6qEXUCBD
• Win Prizes: https://t.co/marRtnu9Jn https://t.co/0JXBTtvHwd
74.3K views · 226 likes
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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 https://t.co/oaSVhut7Cp
29.4K views · 318 likes
· 17 reposts · 5 replies
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ARC-AGI-3 is a useful research tool to analyze model behavior
Key failure modes seen in our early testing:
• Thinking it is playing another game
• Holding on to early hypothesis
• Unable to forecast into the future
Both AI + human runs have sharable replays
Watch Gemini 3.1
25.3K views · 204 likes
· 4 reposts · 2 replies
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We build benchmarks that reveal the gap between what's easy for humans, hard for AI
ARC-AGI has repeatedly identified inflection points in AI progress, including the emergence of reasoning systems and the rise of capable AI agents.
ARC-AGI-3 is the next step in that journey htt
30K views · 343 likes
· 12 reposts · 8 replies
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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 https://t.co/BC2QaNZuvH
779.1K views · 4.3K likes
· 570 reposts · 262 replies
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GIF
Dibandingkan akun berukuran sama
18 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan16 256akun ini924median untuk 10K–100K
Jangkauan, %38.29%akun ini3.62%median untuk 10K–100K
Interaksi, %0.73%akun ini1.52%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 16 256 | 924 | 17.6× |
| Jangkauan (tayangan ÷ pengikut) | 38.29% | 3.62% | 10.6× |
| Tingkat interaksi | 0.73% | 1.52% | 0.48× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
5.1K28 Aug
12.1K31 Aug
11.6K2 Sep
1.2M3 Sep
71.5K
133.3K
25.9K
30.5K
18K
21.1K
7.8K
14.4K8 Sep
5.2K10 Sep
310.8K12 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.39%28 Aug
1.26%31 Aug
0.94%2 Sep
0.38%3 Sep
0.67%
0.29%
0.73%
0.75%
0.44%
0.45%
2.34%
1.14%8 Sep
0.79%10 Sep
0.96%12 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes74.0%14 555 in total
Reposts7.2%1 418 in total
Replies3.1%619 in total
Quotes2.9%580 in total
Bookmarks12.7%2 505 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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