AI News

Follow the latest AI and automation news

17 Jun 20262 Muharram 1448 AH

Amazon, Nvidia, and AMD bet $310 million on AI startup building 3D world models

Amazon, Nvidia, and AMD have invested $310 million in the AI startup Odyssey ML, which is now valued at $1.45 billion. This funding also includes support from a CIA-linked fund and Google’s Jeff Dean. World models are part of a new trend in artificial intelligence, with major companies focusing on developing 3D models. This investment reflects the growing market interest in AI technologies that extend beyond language models.

Business

17 Jun 20262 Muharram 1448 AH

WakeCap acquires Frontline as it builds an end-to-end construction intelligence platform

WakeCap, a construction technology company, has acquired Frontline, an AI-powered construction planning software provider. This acquisition aims to expand WakeCap's capabilities from real-time jobsite monitoring to project planning and optimization. Founded by Luis Martinez and Ricky Ding, Frontline offers AI-driven tools that help project teams optimize schedules through simulations and stress testing. The acquisition will enable WakeCap to create an integrated intelligence platform linking project plans with real-time field execution data.

Models

17 Jun 20262 Muharram 1448 AH

World model maker Odyssey nabs $1.45B valuation backed by Amazon and other big names

Odyssey has announced its position as a leading startup in the realm of AI models, moving beyond large language models. World models represent a new frontier in AI development, enabling a deeper understanding of data and contexts. These models open up new possibilities for AI applications, enhancing companies' innovation capabilities. Odyssey's advancements push the boundaries of technology, indicating that businesses adopting these models will achieve significant progress across various sectors, unlocking new market opportunities.

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Zhipu AI's GLM-5.2 closes in on closed-source leaders in coding marathons

How do you see open models evolving in coding tasks?

Agents

Agent-to-Agent (A2A) Protocol: How Cross-Agent Communication Works in Production

17 Jun 20262 Muharram 1448 AH

Agents

17 Jun 20262 Muharram 1448 AH

Agent-to-Agent (A2A) Protocol: How Cross-Agent Communication Works in Production

Google launched the A2A protocol in April 2025 as an open standard for communication between intelligent systems. The protocol utilizes HTTP for data transmission and JSON-RPC for structured messaging, facilitating collaboration among smart agents. This design supports asynchronous operations, allowing one agent to send tasks to another while continuing its own work. The A2A protocol aids developers in avoiding custom coding for tool integration, thereby reducing reliance on a single vendor. It aligns with security and authorization patterns used in organizations, simplifying framework replacements without impacting infrastructure.

Agents

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

17 Jun 20262 Muharram 1448 AH

Agents

17 Jun 20262 Muharram 1448 AH

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

Physical AI faces significant data challenges that hinder its ability to achieve milestones similar to those of large language models. Effective mechanisms for data collection and analysis are essential for these systems to learn and adapt. Without addressing these challenges, the advancement of physical AI may lag behind that of large language models.

Agents

Nvidia research shows robots that train themselves through AI coding agents

17 Jun 20262 Muharram 1448 AH

Agents

17 Jun 20262 Muharram 1448 AH

Nvidia research shows robots that train themselves through AI coding agents

Researchers from Nvidia, Carnegie Mellon University, and UC Berkeley are leveraging AI coding agents to teach robots dexterous grasping skills in real-world scenarios. A fleet of eight robots has achieved up to 99% success on complex tasks requiring precision. This study marks a significant advancement in developing self-learning robots, utilizing AI techniques to enhance performance in intricate tasks. The robots rely on AI coding agents for self-training, showcasing notable progress in robotics.

Models

OpenAI researchers want to predict how often AI models will fail before launch

17 Jun 20262 Muharram 1448 AH

Models

17 Jun 20262 Muharram 1448 AH

OpenAI researchers want to predict how often AI models will fail before launch

OpenAI researchers have proposed a new method to predict potential errors that AI models may encounter post-launch. This approach aims to address gaps left by traditional safety testing, enhancing the reliability of new models. These innovations are expected to improve the model development process, aiding companies in making more informed decisions prior to launch. The proposed mechanism involves using historical data and mathematical models to estimate potential error rates. This method could be particularly beneficial in critical use cases where errors may lead to severe consequences.

Business

Pramaana Labs raises $27M seed round from Khosla Ventures to bring formal verification to AI

17 Jun 20262 Muharram 1448 AH

Business

17 Jun 20262 Muharram 1448 AH

Pramaana Labs raises $27M seed round from Khosla Ventures to bring formal verification to AI

Pramaana has announced its focus on sensitive sectors such as law and drug discovery, where errors can be costly. The company aims to provide reliable solutions in areas requiring high precision, like tax preparation, highlighting the importance of advanced technology. This approach reflects the growing need for AI technologies in sectors demanding high accuracy, potentially improving efficiency and reducing risks associated with human errors.

Governance

Europe Pursues Technological Sovereignty at G7 Summit in France

17 Jun 20262 Muharram 1448 AH

Governance

17 Jun 20262 Muharram 1448 AH

Europe Pursues Technological Sovereignty at G7 Summit in France

Discussions on technological sovereignty are intensifying at the G7 Summit in France, with policymakers expressing concerns over U.S. AI dominance. These meetings follow the U.S. tightening restrictions on foreign access to advanced AI models, highlighting Europe's vulnerabilities. Europe aims to maintain strategic independence while relying on U.S. tech firms. Anna Paula Assis from IBM emphasized that sovereignty means having control over technology, not just being a source. The conference will also address competition and reliance on China.