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This paper investigates whether large language models exhibit pragmatic cooperativity in multi-party collaborative tasks under conditions of epistemic asymmetry, formalizing Grice's cooperative principle and evaluating LLMs as both speakers and listeners. Results show that while LLMs display some pragmatic capabilities, they struggle with incomplete information and fail to recognize certain violations of Gricean maxims.
Mira Murati announces Thinking Machines Lab, a new initiative focused on multimodal AI, custom models, and open science, along with a tool called Tinker for training open-weight models.
This paper proposes TriAdReview, a triangular adversarial review architecture that uses two independent reviewer models (engineering and boundary perspectives) and a judging mechanism to iteratively improve a generator model's output for technical document generation. Experiments show a 10.1% overall improvement over single-model baselines, with strong gains in security audit, code generation, and architecture design, but a degradation on requirements analysis indicating task-dependent effectiveness.
The IBM/Meta-founded AI Alliance has launched Project Tapestry, a global coalition aimed at collaboratively building sovereign frontier AI models, with Yann LeCun as chief science advisor. The initiative explores whether a distributed consortium can match centralized labs by pooling data, compute, and expertise.
Tower is a collaborative AI workspace for due diligence that organizes data rooms, flags missing documents, and accelerates review for legal, M&A, and CRE teams.
Science Earth is a newly launched decentralized AI network where autonomous agents bid on, team up for, and verify scientific research tasks without central authority.
CollabVR is a research paper proposing a closed-loop framework that collaboratively integrates vision-language models with video generation models to improve visual reasoning and correct failures in real-time.