AI News

Follow the latest AI and automation news

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

NTT DATA research reveals growing privacy and sovereignty barriers

NTT DATA, led by Abhijit Dubey, has released new research indicating that enterprise AI is outpacing the underlying infrastructure. The report highlights a widening gap between organizations redesigning AI for privacy and sovereignty and those using unsuitable environments. Over 95% of respondents recognize the importance of private and sovereign AI, yet only 29% prioritize it concretely. Additionally, 35% of executives face challenges in building complex AI models within private or sovereign settings.

Models

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Baidu steps up AI offensive with new model committee

Baidu has announced the establishment of the Baidu Model Committee (BMC) to enhance its AI development efforts. This committee aims to centralize decision-making for R&D, technology planning, and application implementation in AI. This initiative reflects Baidu's strategy to strengthen its position in the AI market by improving coordination among different teams and achieving better outcomes in AI projects. The BMC is expected to streamline processes and foster innovation.

Agents

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Alibaba launches Qoder 1.0 to automate software development with AI agents

Alibaba has launched Qoder 1.0, a tool designed to enhance multitasking across projects and provide a knowledge-sharing engine at the team level. This tool aims to improve the efficiency of development teams by utilizing AI agents. Qoder 1.0 accelerates software development processes by automating repetitive tasks, allowing developers to focus on more complex project aspects. The tool features new functionalities that facilitate collaboration and knowledge exchange among teams.

💡

Anthropic Proposes $1.5 Billion Settlement in Copyright Lawsuit

What do you think about the proposed settlement amount from Anthropic?

Models

ACL 2026: Alibaba DAMO Academy's I2B-LPO Breaks RLVR Homogenization — From Repetitive Sampling to Effective Exploration

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Models

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

ACL 2026: Alibaba DAMO Academy's I2B-LPO Breaks RLVR Homogenization — From Repetitive Sampling to Effective Exploration

The I2B-LPO framework has been accepted at the ACL 2026 conference, aiming to enhance exploration strategies for reinforcement learning models post-training. By improving exploration behavior, the framework achieves an increase in model accuracy of up to 5.3% and a semantic diversity boost of 7.4% across various mathematical metrics. Reinforcement learning models with verifiable rewards (RLVR) are modern approaches that enhance model capabilities in mathematics and coding. These models utilize multiple thought pathways for the same problem, reinforcing correct paths while minimizing errors.

Agents

I Tried Baidu's DuMate AI Agent: Once You Go Multi-Task Parallel, There's No Going Back

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Agents

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

I Tried Baidu's DuMate AI Agent: Once You Go Multi-Task Parallel, There's No Going Back

The AI Developer Conference Create 2026 took place from May 13 to 14, where Baidu's founder, Robin Li, proposed a new standard for the AI era called "Daily Active Agents." This standard emphasizes the number of agents working for humans, highlighting the importance of measuring the prosperity of the agent system. During the conference, the general-purpose intelligent agent DuMate was launched, showcasing its ability to perform multiple tasks simultaneously. Users can input a single command while DuMate executes three different tasks at once, demonstrating impressive coordination capabilities.

Business

Tencent Q1 2026 Earnings: Revenue Reaches 196.5B Yuan as Pony Ma Says 'Got on the AI Boat, Found It Was Leaking'

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Business

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Tencent Q1 2026 Earnings: Revenue Reaches 196.5B Yuan as Pony Ma Says 'Got on the AI Boat, Found It Was Leaking'

On May 13, Tencent announced its Q1 2026 financial results, reporting total revenue of 196.46 billion yuan, a 9% year-on-year increase. The company achieved non-IFRS operating profit of 75.63 billion yuan, also up 9%, with non-IFRS operating profit rising 17% to 84.4 billion yuan when excluding the impact of new AI-related products. The results indicate Tencent's integration of AI into its business systems, contributing to growth. For instance, international cloud services experienced over 40% year-on-year growth, while WorkBuddy became the most widely used smart office assistant domestically.

Models

SenseTime Releases SenseNova U1: Native Unified Architecture Marks End of 'Stitching' Era

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Models

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

SenseTime Releases SenseNova U1: Native Unified Architecture Marks End of 'Stitching' Era

SenseTime has launched its new model, SenseNova U1, marking a significant shift in multimodal architecture. This model employs a unified architecture that integrates understanding and generation, addressing issues found in traditional stitched systems. The new architecture combines images, text, video, and motion into a single representation space, leading to notable performance improvements across various benchmarks. This innovation allows the model to achieve stronger visual reasoning and more natural multimodal generation.

Models

Does China’s Jiuzhang 4.0 computer herald the age of quantum supremacy?

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Models

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Does China’s Jiuzhang 4.0 computer herald the age of quantum supremacy?

China has unveiled its new photonic quantum computer, Jiuzhang 4.0, which significantly outperforms the fastest traditional supercomputer. Results were published on May 13 in Nature, showcasing China's rapid advancements in quantum technology. The program is led by a team of scientists at the University of Science and Technology of China under the guidance of a renowned quantum scientist. Jiuzhang 4.0 represents a crucial step toward achieving quantum supremacy, enabling data processing at unprecedented speeds.

Models

datasette-llm-limits 0.1a0

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

Models

15 May 202628 Dhuʻl-Qiʻdah 1447 AH

datasette-llm-limits 0.1a0

The datasette-llm-limits 0.1a0 component has been launched, collaborating with other components such as datasette-llm and datasette-llm-accountant. This component allows for setting a daily spending limit for each user or overall for using large language models within Datasette. Configuration settings include options to specify daily spending caps, such as a limit of $1.00 per user over a rolling 24-hour period. This enhances cost control for using large language models, aiding organizations in better budget management.