10. Automating the Search for Artificial Life with Foundation Models Uses vision-language foundation models to automatically search across ALife substrates for simulations that match prompts, sustain open-ended novelty, or maximize diversity, reducing manual trial-and-error.
@dair_ai
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Frontier AI Models Approach Expert Parity in Accuracy
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9. GDPval It shows frontier models improve roughly linearly and are nearing expert parity, with Claude Opus 4.1 preferred or tied 47.6% of the time, while GPT-5 leads in accuracy.
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Embodied AI: From LLMs to World Models Survey
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8. Embodied AI: From LLMs to World Models This paper surveys embodied AI through the lens of LLMs and World Models (WMs).
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ARK-V1: Lightweight Agent for Knowledge Graph Navigation
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6. ARK-V1 ARK-V1 is a lightweight agent that helps language models answer questions by actively walking through a knowledge graph instead of relying only on memorized text.
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Language Models Learn to Think and Chat Better with RL
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7. Language Models that Think, Chat Better A simple recipe, RL with Model-rewarded Thinking, makes small open models “plan first, answer second” on regular chat prompts and trains them with online RL against a preference reward.
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LLM-JEPA: Adapting JEPA Training to Language Models
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5. LLM-JEPA A JEPA-style training objective is adapted to LLMs by treating paired views of the same underlying content (for example, text and code) as prediction targets in embedding space, added on top of the usual next-token loss.
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ATOKEN: Unified Transformer Tokenizer for Multimodal Assets
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2. ATOKEN ATOKEN introduces a single transformer tokenizer that works for images, videos, and 3D assets. https://
arxiv.org/abs/2509.14476 -
Meta FAIR Releases CWM: 32B Open-Weights Code Execution Model
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3. Code World Model Meta FAIR releases CWM, a 32B open-weights coder trained to model code execution and to act inside containers.
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Metal SuperIntelligence Labs: Agent Systems Research Platform
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1. ARE Metal SuperIntelligence Labs presents a research platform and benchmark for building and stress-testing agent systems in realistic, time-driven environments.
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Top AI Papers of the Week: LLMs, Agents, World Models
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Top AI Papers of The Week (September 22-28): – ATOKEN
– LLM-JEPA
– Code World Model
– Teaching LLMs to Plan
– Agents Research Environments
– Language Models that Think, Chat Better
– Embodied AI: From LLMs to World Models Read on for more: