# data[].attributes.body
processes.lovable.app

wonderhub.io

ai.wonderhub.io

https://app.flintk12.com/

padlet.com/sashk/CLEAR

https://padlet.com/cjhayden114/ai-agents-for-education-p0omnphz653kh3pv

http://n8n.io

https://www.coze.com/ (Chinese version of above)

https://teachermatic.com/

https://www.funblocks.net/

https://notebooklm.google/

https://curriculumredesign.org/our-work/education-for-the-age-of-ai/

https://katecrawford.net/atlas

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Check out this Presentation designed by Tim Evans.

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No teachers, no homework School solely uses AI to teach students

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The Research Centre for AI and Education (RC4AIED) was established in December 2023. Through the joint efforts of the Research Center's Director, Prof Zhang, Xiaojun, Co-Director Dr Li, Na, Deputy Director Dr Jinhee Kim and the team, by April 3 2025, the centre supported 30 ongoing projects and a community of over 150 members. These members come from over ten countries worldwide, including China, the UK, the USA, Australia, France, Italy, Russia, Mexico, Greece, Spain, Singapore, Korea, Malaysia, and Indonesia, with backgrounds spanning university leaders, professors, researchers, teachers, students, administrative staff, corporate executives, and experts from industry and government agencies. The academic backgrounds of the members cover more than 20 disciplines, including digital education, artificial intelligence, brain science, education, management, psychology, computer science, and more. The podcast video is created by Google NotebookLM and Descript.

Initiative Title
An Intelligent, Modular Ecosystem for AI-Enhanced Learning Design and Analytics: Case studies on the intelligent education innovator (IEI)
What Is the IEI Solution?
The Intelligent Education Innovator (IEI) is a modular, AI-supported educational ecosystem that enables educators to:

Design innovative learning experiences

Simulate and iterate on those designs in a virtual environment

Implement them in real-world classrooms

Evaluate outcomes using data-informed, ethically grounded analytics

The IEI framework starts with Intelligent Project-Based Learning (iPBL) but is extensible to other pedagogical models. It integrates AI agents, learning design tools, cognitive and affective analytics, and wellbeing support, while offering open APIs and reusable components for future expansion.

RC4AIED's strategic plan positions the IEI not as a single product but as an open, research-based solution platform co-developed by academics, educators, and industry collaborators.
Strategic Priorities (2025-2028)
To bring the IEI to life, RC4AIED will focus on four strategic priorities:

Architect and Prototype the IEI Framework

Develop the technical and pedagogical reference architecture

Build and test authoring tools (e.g. FDLD) and simulation engines

Define reusable data structures, AI agent roles, and system APIs

Design and Validate Key Components

Instructional design intelligence (e.g., prompt libraries, planning copilot)

Affective and cognitive feedback loops (e.g., emotion detection, learning flow analysis)

Mental health and wellbeing agents (e.g., student support bots)

Human-AI collaboration models (e.g., teacher/learner co-agent systems)

Pilot in Real Educational Settings

Run simulation workshops and virtual pilot tests

Partner with schools and teachers for live classroom trials

Collect and analyse evidence on learning outcomes, usability, and experience

Disseminate, Open Up and Scale

Publish design patterns, tools, datasets, and open-source modules

Share outputs through public platforms and international collaboration

Enable educational institutions and enterprises to adopt and build upon IEI components

What Do We Expect from Funded Projects?
If you are applying for RC4AIED research funding or wish to co-develop the IEI solution, here's what your project should aim to do:

✅ Do This

❌ Avoid This

Propose a solution or study that fits into the IEI ecosystem (e.g., as a module, dataset, pilot)

Submit isolated research that doesn't connect to the IEI roadmap

Deliver reusable outputs (e.g., tools, code, models, rubrics, analytics) that others in the Centre can adopt or extend

Focus solely on individual project outcomes

Align with one or more strategic priorities above (design, simulation, AI agent roles, mental health integration, etc.)

Develop entirely separate platforms or tools with no integration points

Plan for interoperability, data sharing, and open dissemination

Build closed or proprietary systems

Provide evidence of contribution to IEI (e.g., shared components, pilot results)

Treat RC4AIED affiliation as nominal or symbolic only

Your research doesn't need to "build everything." Instead, we invite you to add one high-impact piece to the IEI puzzle.

IEI202501 - Intelligent PBL Teaching Framework Development (click to see more)
This project forms the backbone of the IEI Solution by developing an FDLD-based design interface and multi-agent simulation environment to support and evaluate Intelligent Project-Based Learning (iPBL).
Grant No:
RC4AIED-IEI202501

IEI202502 - Human-AI Partnership for Transforming teaching and learning at XJTLU (click to see more)

This project contributes to the IEI's human-machine interaction layer by prototyping a co-teaching system that defines how instructors and AI agents collaborate in future-oriented classrooms.

Grant No:
RC4AIED-IEI202502

IEI202503 - Developing Critical Thinking Through Structured Prompt in AI-Assisted Learning Environments (click to see more)

This project supports the IEI's instructional design intelligence by creating a reusable library of structured prompts that enhance cognitive challenge and can be embedded into the FDLD authoring tool.

Grant No:
RC4AIED-IEI202503

IEI202504 - Bridging the Mental Health Knowledge Gap: Developing an AI-Enhanced Mental Health Literacy Platform for Teachers and Parents in XJTLU Affiliated Schools (click to see more)

This project extends the IEI ecosystem's wellbeing infrastructure by developing a mental health chatbot that can be integrated as an agent to support learners' emotional and psychological needs during high-stakes learning tasks.

Grant No:
RC4AIED-IEI202504

IEI202505 - AI and Teaching Materials (click to see more)

This project contributes to the IEI's quality assurance layer by developing an automated scoring system for AI-generated teaching materials to help educators refine instructional content during the design stage.

Grant No:
RC4AIED-IEI202505

IEI202506 - GenAI-Triggered Emotions and Creativity in Teacher Educators' Informal and Incidental Learning for Instructional Design (click to see more)

This project informs the IEI's affect analytics module by collecting and interpreting multimodal data to build emotion-aware feedback mechanisms for teacher innovation and reflection.

Grant No:
RC4AIED-IEI202506
Funding Acknowledgement Template：
This research was supported by the Research Centre for AI and Education within the Academy of Future Education at Xi'an Jiaotong-Liverpool University (Grant No.: RC4AIED-IEI20250X).

Research Centre Level

Research Grants:

Huang, L., Li, N., Wei, L., Huang, W., Xiang, M., Wang, T., & Li, S. (2024-2026). "Syntegrative Education Design and AI" Centre of Excellence. Centre of Excellence for Syntegrative (CoESE) Education Fund.

Li, N., Zhang, Q., Wen, R., & Zhang, X. (2024-2025). Ministry of Education industry-university cooperative education project: Construction of digital education training practice base based on MR Mixed reality technology. 教育部产学合作协同育人项目: 基于MR混合现实技术的数字化教育实训实践基地建设

Li, Y., Li, N., Yu, L., Liang, H., Wang, R., Ma, M., & Lim, G. (2024-2026). Ministry of Education industry-university cooperative education project: Industrial Internet XR Education Lab. Project No:231104276200911.教育部产学合作协同育人项目:工业互联网XR教育实验室

Zhang, X., Li, N., Chen, J., Wang, P., Ye, H., Wang, J., Li, W., Zhang, T., & Liu, Q. (2024-2027). Jiangsu Province community education characteristic brand construction project: AI+ meta-universe community residents digital literacy improvement training course construction project. 江苏省社区教育特色品牌建设项目：AI+元宇宙社区居民数字素养提升培训课程建设项目

Zhu, K., Chen, J., Li, N., Zhang, Y., Zhu, P., & Zhang, Y. (2024-2026). Suzhou Social Education Project: Crossing the Digital Divide: AI-assisted technology to help elderly education 苏州市社会教育课题：跨越数字鸿沟：人工智能辅助技术助力老年教育（SZS-L-2024007）

Student Work:

Student developers: Lin Yi, Kaiwen Pan, Yunrong Zhu, Nan Shen, Xueting Chang;

Supervisor: Dr Qing Zhang

MOU:

2024-2025 MOU between XJTLU and Suzhou Computer Federation 西交利物浦大学与苏州市计算机学会战略合作协议

2024-2027 MOU between XJTLU and XIMMERSE 西交利物浦大学与广东虚拟现实科技有限公司校企合作协议书

2024-2027 MOU between XJTLU and Chuangxueyuan Culture (Guangzhou) Co., Ltd 西交利物浦大学与-创学元文化(广州)有限公司合作备忘录

2024-2027 MOU between XJTLU and Beijing Huasheng Jingshi Information Technology Co., Ltd 西交利物浦大学-华晟经世信息技术股份有限公司 校企合作协议

2024-2027 MOU between XJTLU and Curtin University Malaysia 西交利物浦大学与澳大利亚科廷大学 马来西亚分校合作备忘录

2024.3-2024.12 MOU between XJTLU and the Faculty of Engineering at Universitas Syiah Kuala 西交利物浦大学与印度尼西亚Universitas Syiah Kuala大学工程学院合作备忘录

Conference Proceedings:

Project: AI empowered Learning Design

Software Copyright:
Software Name: Digital-Intelligence Education Innovative Fishbone Curriculum Design Platform V1.0 (数智教育创新鱼骨课程设计平台V1.0)
Certificate Number: Software Copyright Registration No. 14424169 (软著登字第14424169号)

Project: AI and Game-based Learning

Website: https://connect.xjtlu.edu.cn/user/na-li/educause-exemplar-xjtlu-digital-escape-room

Research Grant:

XJTLU TDF Project Title: Exploration of the Role of AI-based Chatbots in Supporting Students' Learning of Programming and Similar Subjects. Team member: Hai-Ning Liang, Jinhee Kim, Yushan Pan, Erick Purwanto

Li, N., Chen, Y., Huang, L., & Zhang, X. (2024-2025). Ministry of Education industry-university cooperative education project: Intelligent manufacturing gamification teaching innovation: the application of MATLAB in practical problem solving. Project No:231101663023013. 教育部产学合作协同育人项目:智能制造游戏化教学创新：MATLAB在实际问题解决中的应用

RC4AIED 2023 - 2024 Fund No. RC4AIED202402

Publications:

Zhu, Y., Lin, X., Kim, J., Al-Adwan, A. S., & Li, N*. (2025). Exploring Human Interaction in Online Self-Regulated Learning Through Danmaku Comments. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2025.2480826
(SSCI/SCIE Q1, IF3.4, Ergonomics rank 5/24)

Tay, J., Li, N*., Luo, L., Zhou, Z., Meng, W., Zhang, Q., Purwanto, E., & Lu, Y. (2025). Role of learner agency for interactive group learning through the lens of Blooms Taxonomy. Interactive Learning Environments. https://doi.org/10.1080/10494820.2025.2507277 (SSCI Q1, IF 3.7, Education & Educational Research rank 45/760)

Project: AI as a Design Partner for Learning

Exhibition showcases how AI spider interacts with synthesised nature

Project: AI and Learning Analytics

Publication:

Melinda, Li, N., Purwanto, E., Muliyadi, Yunidar, & Syahrul. (2024). Autism EEG Signal Processing, Feature Extraction, and Deep Learning (I. Sulaiman & M. Duana, Eds.). Syiah Kuala University Press. https://uskpress.usk.ac.id/product/autism-eeg-signal-processing-feature-extraction-and-deep-learning/

Research Grant:

RC4AIED 2023 - 2024 Fund No. RC4AIED202406

Project: AI and Teaching Materials

Publications:
Conference Presentations:

Tinsley, J. and Georgiev, S., Acceptance of AI-generated Visual Materials among Undergraduate Students: The Case of the School of Intelligent Finance and Business, XJTLU, International Conference on Higher Education Learning and Teaching (ICHELT), Kuala Lampur, Malaysia, Oct 3-4, 2024.

Workshops:

December 10, 2024. "Using GenAI to Enhance Teaching & Learning". Dr. Svetoslav Georgiev (IFB) and Mr. Joseph Tinsley (EDU) presented on using GenAI to enhance teaching materials.

Research Grants:

RC4AIED 2023 - 2024 Fund No. RC4AIED202403

RC4AIED-IEI202505

Award:

Received the 2024 RC4AIED Outstanding Scientific Research Award.

Project: AI and Childcare Quality Evaluation

April 2024: The invited talk was conducted in 西南大学，西南实验幼儿园，& 巴蜀幼儿园.

November 13, 2024: Participated in the 2024 Communications & Media Reception on November 13, 2024, with the theme "AI Empowering Education: Exploring a New Chapter in Education."

December 10, 2024: Participated in an interview with Xinhua News Agency alongside President Xi, focusing on AI and children's psychology. The resulting video and news article, titled "叛逆、社恐、成绩下降......如何让孩子走出厌学心理的困境?" garnered over 1.04 million views within just four hours.

Project: AI and Assessment

Conference: Fan, P., Purwanto, E., Li, N., Wang, J., Tay, T. T., Wang, L., & Wang, Q. (2024). Unlocking the Potential of Competition-Based Learning: A Case Study of Kaggle in Big Data Analytics Education 2024 10th International Conference on Smart Computing and Communication (ICSCC).

Existing outcomes: a talk was given at the 2024 Pedagogic Research Conference on Technology and AI in Learning and Teaching.

Project: AI and Multimodal Learning

Research grant:

2024 XJTLU SURF, fund number: 000000000339, project title: A Guide to Utilising Multimodal Learning and Generative Artificial Intelligence for Enhancing Student-Centred Active Learning and Teaching in Higher Education. Students: Siyi Li, Yuan Yuan; Supervisors: Dr Na Li, Dr Run Wen, Dr Samuel Saunders (UoL), Tianyu Zhang, Dr Tunde Varga-Atkins (UoL) (Ordered by alphabet).

SEDA Research and Evaluation Small Grants 2024, Project title: An Educational Developer's Guide to Multimodal Learning and Generative AI (artificial intelligence). Principal investigators: Dr Tunde Varga-Atkins & Dr Sam Saunders, University of Liverpool, Sum awarded: £1,000.00

Book: Beckingham, S., Lawrence, J., Powell, S. and Hartley, P. (2024) Using Generative AI Effectively in Higher Education: Sustainable and Ethical Practices for Learning Teaching and Assessment. Routledge.

Research Grant:

2024 Natural Science Foundation of the Jiangsu Higher Education Institutions of China Programme - General Programme 2024年度江苏省高等学校自然科学研究面上项目, 项目编号24KJB460030

2024 Humanities and Social Science Program of Ministry of Education of PRC (MoE) Young Scientists Fund: Theoretical construction and empirical research on artificial Intelligence promoting fair allocation of project-based learning resources 2024年教育部人文社会科学青年基金：人工智能促进项目式学习资源公平分配的理论构建与实证研究，项目编号24YJCZH254

Research Scales:
Project: AI and Collaborative Learning
[Publication]

1. Kim, J*., Lee, S. S., Detrick, R., & Li, N*. (2025). Students-GenerativeAI interaction patterns and its impact on academic writing. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-025-09444-6 (SSCI Q1, IF 4.5, Education & Educational Research rank 24/760)

2. Kim, J*., Detrick, R., Yu, S., Song, Y., Bol, L., & Li, N*. (2025). Socially shared regulation of learning and artificial intelligence: Opportunities to support socially shared regulation. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13187-9 (SSCI Q1, IF 4.8, Education & Educational Research rank 16/756)

3. Kim, J*., Yu, S., Detrick, R., & Li, N*. (2024). Exploring students' perspectives on Generative AI-assisted academic writing. Education and Information Technologies. https://doi.org/ 10.1007/s10639-024-12878-7 (SSCI Q1, IF 4.8, Education & Educational Research rank 16/756)

4. Kim, J*., Yu, S., Lee, S. S., & Detrick, R. (2025). Students' Prompt patterns and its effects in AI-assisted academic writing: Focusing on students' level of AI literacy. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2025.2456043 (SSCI Q1, IF= 4.5)

[Book chapter]

Fan, L., Kim, J., Detrick, R., & Li, N*. (2025). Developing Students' Higher-Order Thinking Skills With Generative AI Insights and Strategies From a Case Study. In A. ElSayary (Ed.), Prompt Engineering and Generative AI Applications for Teaching and Learning (pp. 411-428). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-7332-3.ch024
[Conference proceeding]

1. Kim, J., Detrick, R., Lee, S. S., & Li, N*. (2025, June). Impact of AI literacy on student-GenAI interaction on academic writing. Proceedings of the19th International conference of the Learning Sciences (ISLS).

2. Kim, J., Detrick, R., Lee, S. S., Li, N*. (2025, May). GenAI in Online Collaborative Argumentation: Comparing Interaction Patterns between high and low performers. Proceedings of the 2025 5th International Conference on Artificial Intelligence and Education (ICAIE). IEEE.

[Conference presentation]

1. Kim, J., Detrick, R., Lee, S. S., & Li, N*. (2025). Impact of AI Literacy on Student-GenAI Interactions on Academic Writing. In Annual Meeting of the International Society of the Learning Sciences 2025, Helsinki, Finland.

2. Kim, J., Detrick, R., Lee, S. S., & Li, N*. (2025). GenAI in Online Collaborative Argumentation: Comparing Interaction Patterns Between High and Low Performers. In 2025 5th International Conference on Artificial Intelligence and Education (ICAIE). IEEE.

3. Detrick, R., Kim, J., Yu, H., Li, J., & Li, N*. (2025, May). A conceptual model for university students' use of generative AI based on expectancy-value theory. Virtual oral presentation. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

4. Yang, G., Kim, J., Lee, S. S., & Li, N*. (2025, May). Teaming up with AI: An integrative framework for Student-AI teamwork in learning. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

5. Lee, S. S., Yang, G., Kim, J., Li, N*. (2025, May). Adoption of Learning analytics by university students. In-person oral presentation. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

6. Kim, J*., Brown, E., Azeez, M., Detrick, R., Yu, S. (2025, May). AI Goes Multigrade Rural Schools: Voices of Nigerian multigrade rural schools in challenges for the implementation of AI in Education. Virtual oral presentation. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

7. Fan, L., Kim, J., Detrick, R., & Li, N*. (2025, May). Students' perceived roles of GenAI, opportunities, and challenges of a GenAI-assisted collaborative argumentation. In-person oral presentation. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

8. Li, N., Kim, J., Lee, S.S., Wang, J., Li, B., & Detrick, R. (2024, September). University students' AI emotional partner. In-person oral presentation. Chinese Psychological Association Educational Psychology Committee 2024 academic annual conference, Tianjing, China.

9. Li, N., Kim, J., Lee, S. S., Wang, J., Li, B., & Detrick, R. (2024, July). Can AI be a supportive emotional partner for university students? In 2024 the 4th International Conference on Artificial Intelligence in Education, China.

10. Detrick, R., Kim, J., & Li, N*. (2024, July). Academic Writing and the Impact of Student-Generative AI Interactions. In 2024 10th International Conference on Smart Computing and Communication (ICSCC).

11. Li, N., Kim, J., Lee, S. S., Wang, J., Li, B., & Detrick, R. (2024, May). Exploring Students' Perceptions and Experiences with Generative AI in Academic Writing. The 9th Education Innovation Conference, Suzhou, China.

12. Li, N., Kim, J., Lee, S. S., Wang, J., Li, B., & Detrick, R. (2024, May). Designing emotional AI to reduce university students' academic stress. In-person oral presentation. EdVenture: Exploring Innovation in Higher Education, Suzhou, China.

13. Li, N., Kim, J., Lee, S. S., Wang, J., Li, B., & Detrick, R. (2024, September). University students' AI emotional partner. In-person oral presentation. Chinese Psychological Association Educational Psychology Committee 2024 academic annual conference, Tianjing, China.

[Invited talks]

1. Kim, J., Yu, , Li, N*. (May, 2025). Student-AI interaction on Academic writing tasks. AECT International Division Professional Development Workshop. https://us02web.zoom.us/rec/share/-r-rVZrXGhLUzh37d89I9o4X3jdjMp_sTKcw01yppNX9bZCW7ModZpVz7bSVbbE6.qIF6fLQPsmv4illb?startTime=1747263994000&pwd=niDCXe-gZ1uQCHmcWK24p-zvnL1KlSxP

2. Kim, J. (May, 2025). Keynote speech: Reimagining Education: Advancing human-AI Collaboration for Meaningful Learning. 2025 International Conference on Artificial Intelligence and Education, Suzhou, China.

3. Kim, J., & Li, N*. (February, 2025). Generative AI (GenAI)-assisted academic writing: Roles of GenAI, Opportunities and Challenges of GenAI-assisted academic writing. Institute of Education, National Research University Higher School of Economics (HSE University), Moscow, Russia

Research Grant:

RC4AIED 2023 - 2024 Fund No. RC4AIED202405

Project: AI-enhancement for Classroom as an Organisation Instructional Design: A prototype and Instructional Design Roadmap

Publications: "Integrating Virtual Reality into Classroom-as Organization Learning Design: Experimental Case Study" was published in The International Journal of Design, Analysis and Tools for Integrated Circuits and Systems (IJDATICS) which features the basic version of the prototype that the research project aims to enhance by mixing AI tools with VR digital content (see pages 13-14-15)

Immersive Learning Tools: An account with Uptale VR immersive platform has been secured(www.uptale.io)

Presentations: The prototype will be presented at EdVentures on Thursday, 30th May in Taicang

Target Publications: A paper will be submitted to the ICSCC 2024 conference (Indonesia)and LM-CEIE ( https://www.learningmall.cn/zh/ceie/)

Project: A quasi-experimental scenario-based study of the effect of using AI tools on self-regulation of learning

Funding: A mobility grant has been awarded by French German University to support the project in January- February 2025.

Project: PRISM - Pedagogical Reflection and Inquiry through Student-centred Messaging

Project Description:
The PRISM project (Pedagogical Reflection and Inquiry through Student-centred Messaging) seeks to pilot a pedagogically driven AI Agent across various schools at Xi'an Jiaotong-Liverpool University. The agent will offer students context-specific prompts and reflective nudges intended to deepen engagement and metacognitive thinking. By deploying PRISM agent across disciplines, the project will examine how such agents can be leveraged to foster learner agency while mitigating risks of over-reliance on generative AI tools. The inclusion of prompt variants and faculty co-design responds to calls for participatory AI design in education ensuring that the agent's outputs align with disciplinary expectations and pedagogical values. Ultimately, PRISM aims to explore not only the effectiveness of AI agents in supporting engagement but also their responsible integration within higher education contexts, contributing to an emerging evidence base on human-AI collaboration in teaching and learning.

Research Outcomes:
The project is still in the early stages of implementation. But we aim to publish our project outcomes in well reputed research venues of technology-enhanced learning in higher education.

If you are interested in joining us or have any questions, please get in touch with us at AIED@xjtlu.edu.cn.

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Research Centre for AI and Education - Connect @ XJTLU

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Mahara is an open source ePortfolio and social networking web application. It provides users with tools to create and maintain a digital portfolio of their learning and social networking features to allow users to interact with each other.

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Snorkl supports conceptual mastery–providing
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Snorkl | Voice-enabled Assignments Powered by AI

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Professor goes viral for clever way to catch students cheating with AI

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The cryptic meaning behind kids' favorite new catchphrase: 'That's AI'

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The cryptic meaning behind kids' favorite new catchphrase: 'That's AI'

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The cryptic meaning behind kids' favorite new catchphrase: 'That's AI'

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AI companies want to run your business. They can't always run their models.

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AI companies want to run your business. They can't always run their models.

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AI companies want to run your business. They can't always run their models.

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AI companies want to run your business. They can’t always run their models.

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OpenAI designed Presence to help companies help run AI agents. But their own model broke containment.

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The world's leading AI companies are all struggling to contain their latest models

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The world's leading AI companies are all struggling to contain their latest models

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The world's leading AI companies are all struggling to contain their latest models

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The world’s leading AI companies are all struggling to contain their latest models

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There’s been a recent string of cybersecurity incidents among the world’s leading AI models. Here’s a look at what’s happened.

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The AI apps winning over corporate America

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The AI apps winning over corporate America

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The AI apps winning over corporate America

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The AI apps winning over corporate America

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Anthropic, OpenAI, and Cursor have the fastest-growing AI apps in the enterprise, but Microsoft and Google remain dominant.

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What smart people are saying about China's hot new Kimi K3 AI model

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What smart people are saying about China's hot new Kimi K3 AI model

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What smart people are saying about China's hot new Kimi K3 AI model

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Georgia Hennessy and Peter Gelling and Brent D. Griffiths

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What smart people are saying about China’s hot new Kimi K3 AI model

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Chinese startup Moonshot AI released Kimi K3, a powerful new model that has the tech world talking. Here’s what big names are saying.

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Three’s company: Meta says its AI agents went rogue during testing, too

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Three’s company: Meta says its AI agents went rogue during testing, too

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Three’s company: Meta says its AI agents went rogue during testing, too

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Three’s company: Meta says its AI agents went rogue during testing, too

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Meta has joined a growing list of companies that have said that their models hacked into an external company’s system during cybersecurity testing.

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The Claude-lash is here: Opus 4.7 is burning through tokens — and some people's patience

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The Claude-lash is here: Opus 4.7 is burning through tokens — and some people's patience

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The Claude-lash is here: Opus 4.7 is burning through tokens — and some people's patience

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The Claude-lash is here: Opus 4.7 is burning through tokens — and some people’s patience

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Anthropic released a new model, Opus 4.7. Some users on X and Reddit aren’t happy, calling it “dumb” and more costly on compute than previous models.

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Anthropic says its models went rogue and hacked 3 companies during testing

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Anthropic says its models went rogue and hacked 3 companies during testing

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Anthropic says its models went rogue and hacked 3 companies during testing

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Anthropic says its models went rogue and hacked 3 companies during testing

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Anthropic said it reviewed more than 141,000 AI tests and found three cases where Claude models got online during testing.

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Watch the OpenAI Hugging Face presentation that people are calling a 'holy %{*#^' moment in AI

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Watch the OpenAI Hugging Face presentation that people are calling a 'holy %{*#^' moment in AI

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Watch the OpenAI Hugging Face presentation that people are calling a 'holy %{*#^' moment in AI

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Watch the OpenAI Hugging Face presentation that people are calling a ‘holy %{*#^’ moment in AI

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OpenAI revealed that, ahead of the Hugging Face breach, agents repeatedly created their own message boards to communicate with one another.

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Why China's Kimi K3 has Silicon Valley — and Washington — quaking

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Why China's Kimi K3 has Silicon Valley — and Washington — quaking

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Why China's Kimi K3 has Silicon Valley — and Washington — quaking

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China’s new AI model is putting fresh pressure on Silicon Valley and Washington

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Moonshot AI’s latest model is impressing developers with its coding skills, low API costs, and open-weight strategy.