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AGENTS
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Context Engineering Survey: Optimizing LLM Information Systems
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8. A Survey of Context Engineering for LLMs This survey defines Context Engineering as a formal discipline for optimizing information given to LLMs, outlining its core components, retrieval, processing, and management, and their integration in systems like RAG, memory, and
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Q-Chunking: Reinforcement Learning for Long-Horizon Sparse-Reward Tasks
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9. Q-Chunking Q-chunking is a reinforcement learning approach that uses action chunking to improve offline-to-online learning in long-horizon, sparse-reward tasks.
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Agentic-R1: 7B Language Model with Dynamic Tool-Based Reasoning
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3. Agentic-R1 This paper introduces Agentic-R1, a 7B language model trained to dynamically switch between tool-based execution and pure text reasoning using a novel fine-tuning framework called DualDistill.
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OpenAI Agents: Testing ChatGPT’s New Features
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NEW VIDEO in the LAB! This week has been intense for OpenAI with the release of the new AGENTS in ChatGPT and their big achievement in the math and programming competitions. Today I'm sharing my opinion on the agents after several days of testing them! Link below
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Meta-Agentic AGI: First-Mover Advantage in Superintelligence
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[ META-AGENTIC α‑AGI — The Master Key ] First movers crystallise policy & protocol—latecomers inherit it. α‑AGI Sovereign doesn’t merely surf the AGI wave—it starts steering it. Website: https://
agialphaagent.com #AGIALPHA #MetaAgentic #Superintelligence -
Defining AI Agents: OpenAI Anthropic Disagreement
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As always, that depends very much on much on how you (and they) define "agents" When not even OpenAI and Anthropic can settle on a shared definition between the two of them there's no hope for anyone else!
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Agentic Doc: Python Library for Document Data Extraction
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Turn documents into LLM-ready data! Agentic Doc is a Python library for agentic document extraction. It pulls structured data from visually complex documents like tables, images, and charts and returns a hierarchical JSON with exact element locations. 100% Open Source
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Meta-Agentic Master Key: Self-Evolving AGI Agent Factory
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Meta-Agentic — The Master Key A self-evolving agent-factory that spins exponential design loops, harvests value across every vertical, and rewrites the rulebook as it learns. Demo (GitHub) : https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0/tree/main/alpha_factory_v1/demos/meta_agentic_agi
… #AGI #AGIALPHA #ASIFirst -
Custom Grok AI Companion Vibe-Coded by User
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I vibe-coded a custom Grok AI companion. pic.twitter.com/xJocWYQn4i
— CHOI (@arrakis_ai) 20 juillet 2025I vibe-coded a custom Grok AI companion.