ARC-AGI-3 benchmark reveals frontier AI models like Gemini, Claude, and Grok score below 1% on novel tasks with no instructions, while humans achieve 100%. Highlights gaps in abstract reasoning and security risks in AI control systems. #ARCAGI #AIResearch
winbuzzer.com/2026/03/30/a...
ARC-AGI-3 Offers $2M for AI Matching Human Reasoning
#AI #ARCAGI #ARCAGI3 #AGI #AIBenchmarks #AIResearch #AICompetition #LLMs #DeepLearning #MachineLearning #FrançoisChollet #ARCPrizeFoundation
The gap between AI and human learning is the last frontier. I'm working on closing it.
#ARCAGI #ArtificialIntelligence #AGI #MachineLearning #OpenSource
arcprize.org/arc-agi/3
Гонитва за передовим штучним інтелектом триває: Google щойно випустив Gemini 3.1 #Gemini31Pro #GoogleAI #ШтучнийІнтелект #AIмоделі #VertexAI #ARCAGI #GizchinaUkraine
gizchina.net/2026/02/22/g...
Gemini 3.1 Pro just posted a 77% ARC AGI score.
That’s more than double the reasoning performance of 3 Pro.
Google isn’t chasing chat polish.
It’s strengthening the thinking layer.
#Gemini31Pro #GoogleAI #AIModels #ARCAGI #EnterpriseAI #TechNews
evolutionaihub.com/gemini-3-1-p...
Tiny Recursive Model Beats Large Models on ARC‑AGI Puzzles
The new Tiny Recursive Model (TRM) uses a two‑layer network with just 7 M parameters and reaches 45 % accuracy on ARC‑AGI‑1 and 8 % on ARC‑AGI‑2, outperforming larger LLMs. Read more: getnews.me/tiny-recursive-model-bea... #tinysrecursivemodel #arcagi #llm
If AI flunks François Chollet’s test, maybe it just struggles with colorful grids—not intelligence itself.
#AI #AGI #Intelligence #Chollet #ARCAGI #PhilosophyOfAI
ARC AGI performance by grid size
For smaller grids on the #ARCAGI test you may call #o3 "superhuman" (this depends on how you define superhuman). For larger grids the performance falls very quickly to below human performance.
This may be directly related to the amount of tokens involved as grid size increases.
@melaniemitchell.bsky.social’s article sheds light on a genuine breakthrough in #AI, a shift that redefines its limits. Are we edging closer to human-level reasoning in ARC-AGI? If so, it’s a game-changer, and our understanding of AI will need a serious update. #ARCAGI #AIBenchmark #OpenAI
#AGI benchmarks should be developed by neutral orgs completely in private with no contact to the internet. Candidate #LLM would then be tested. This makes it impossible to train or fine-tune models on any benchmarks. Only afterwards results would be published. The only problem: Leaking #ARCAGI #ABAP
🔥 #OpenAI o3 model performance makes a leap, sets a new high score on the #ARCAGI benchmark.
Source: arcprize.org/blog/oai-o3-...
#ml #ai #arcagi #benchmark #openai
