·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Nvidia, Microsoft launch open AI security alliance – without OpenAI, Google, or Anthropic1h◆The path to artificial superintelligence1h◆Closing the data loop in AI-driven drug discovery1h◆Building the enterprise environment for agentic AI1h◆NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics3h◆A Consensus-Based Framework for Relative Preference Evaluation of Large Language Models9h◆Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders9h◆Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA9h◆Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging9h◆Multi-Mask Diffusion Language Models for Few-Step Generation9h◆Solar Open 2 Technical Report9h◆The Geometry of Personality: Activation Steering with Jungian Cognitive Functions9h◆Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning9h◆H$^2$SD: Hybrid Hindsight Self-Distillation9h◆LunarFM: A Shared Multimodal Representation of the Moon's Surface9h◆Prior laundering: learned priors with inherited, undetectable overconfidence9h◆Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery9h◆Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting9h◆CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference9h◆Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support9h◆Nvidia, Microsoft launch open AI security alliance – without OpenAI, Google, or Anthropic1h◆The path to artificial superintelligence1h◆Closing the data loop in AI-driven drug discovery1h◆Building the enterprise environment for agentic AI1h◆NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics3h◆A Consensus-Based Framework for Relative Preference Evaluation of Large Language Models9h◆Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders9h◆Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA9h◆Enjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging9h◆Multi-Mask Diffusion Language Models for Few-Step Generation9h◆Solar Open 2 Technical Report9h◆The Geometry of Personality: Activation Steering with Jungian Cognitive Functions9h◆Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning9h◆H$^2$SD: Hybrid Hindsight Self-Distillation9h◆LunarFM: A Shared Multimodal Representation of the Moon's Surface9h◆Prior laundering: learned priors with inherited, undetectable overconfidence9h◆Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery9h◆Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting9h◆CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference9h◆Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support9h◆
News/ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
arxiv
PublishedApril 21, 2026 at 4:00 AM
—neutral

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2603.24621v2 Announce Type: replace Abstract: We introduce ARC-AGI-3, an interactive benchmark for studying agentic intelligence through novel, abstract, turn-based environments in which agents must explore, infer goals, build internal models of environment dynamics, and plan effective action

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#benchmark#intelligence#research

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#benchmark#intelligence#research

Related coverage

More from ARXIV
arxivA Consensus-Based Framework for Relative Preference Evaluation of Large Language Models9harxivProbing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders9harxivData Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA9harxivEnjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging9h
The Bubble Brief
WEEKLY

Read benchmark insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews