AI News — Saturday, July 18, 2026
VideoChat3 introduces a new fully open-source video Multi-modal Large Language Model (MLLM) designed for efficient and generalist video understanding, offering significant advancements in the field.
Databricks has achieved a staggering $188 billion valuation, solidifying its position as a key player in the AI ecosystem by providing essential data and analytics infrastructure.
A new report reveals a significant 'agent security gap,' with over half of enterprises experiencing an AI agent-related security incident and many still allowing agents to share sensitive credentials.
Researchers have developed 'LongStraw,' a new method enabling Reinforcement Learning (RL) to handle contexts exceeding 2 million tokens while operating within a fixed GPU budget, addressing a major limitation in long-sequence processing.
The SEED framework proposes a novel approach for agentic reinforcement learning that uses self-evolving on-policy distillation to improve learning efficiency and agent performance.
Enterprises are rapidly acquiring AI compute infrastructure, creating a 'compute gap' where they struggle to accurately measure and manage the associated costs.
SearchOS-V1 introduces a new framework aimed at fostering robust collaboration among open-domain information-seeking agents, enhancing their ability to work together effectively.
Vertu is marketing a high-priced AI agent for executives at $6,880, prompting scrutiny into its actual performance and value proposition for business leaders.
This article shares practical insights and lessons learned from developing applications using Google's Gemini Nano, highlighting the realities of on-device AI implementation.
A new paper explores the phenomenon of 'BadWAM,' where World-Action Models accurately predict outcomes but fail to execute correct actions, highlighting a critical challenge in agentic AI.
OriginBlame proposes a novel system for tracking data provenance at both record and token levels within AI training datasets, crucial for transparency and accountability.
SPINE presents an innovative approach to bridge the gap between cyber and physical systems using agentic AI, promising more integrated and intelligent control over real-world environments.
Enterprise AI organizations face a 'context gap' rooted in trust issues rather than retrieval failures, with many still working to implement solutions to build confidence in AI outputs.
RoboTTT introduces a method for context scaling in robot policies, enabling more complex and adaptable behaviors for robotic systems by handling larger contextual information.
Google Vids has received two new updates, empowering users to create, edit, and feature themselves in videos more easily, leveraging AI for enhanced content creation.