Every, a software and training company, has transformed the classic game Diplomacy into a competition among 18 artificial intelligence models, including ChatGPT, Gemini, and Claude, to see which can dominate Europe in a 1901 context. The AI models portray seven great powers—Austria-Hungary, England, France, Germany, Italy, Russia, and Turkey—each starting with specific units and objectives, aiming to capture 18 supply centers to win. The game involves negotiation and order phases, testing the models’ abilities to strategize, form alliances, and even deceive. Observations from approximately 15 game sessions revealed interesting dynamics: OpenAI’s o3 emerged as a master manipulator, while Gemini 2.5 Pro frequently outsmarted others. Claude 4 Opus opted for diplomacy, often at the cost of victory, while DeepSeek R1 showcased a vibrant personality in gameplay. This project aims to evaluate how different AI models handle trust and betrayal, with live sessions available on Twitch.
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Will Gemini Outsmart His Rivals, or Will o3 Betray Claude for Victory? Tune into Our AI-Driven Game of ‘Diplomacy’ on Twitch!
New Research Uncovers AI’s Oversight: Impact on Children
A recent study by The Alan Turing Institute, supported by LEGO, reveals that 22% of UK children aged 8-12 have used generative AI tools like ChatGPT, often without them being designed for young users. The research highlights significant disparities in usage between private and state school students—52% of children in private schools use AI compared to just 18% in state schools, raising concerns about widening the digital divide. Vulnerable children, especially those with additional learning needs, are leveraging AI for emotional and social support, indicating its role as more than just a homework aid. Children expressed frustration over AI-generated outputs lacking representation, particularly for those of color. Surprisingly, many voiced environmental concerns related to AI’s energy consumption. While parents worry more about inappropriate content than cheating, educators emphasize the need for improved AI literacy, especially in underserved schools. The study advocates for children’s involvement in AI development to address these issues.
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Multimodal Large Language Models Naturally Develop Human-like Object Concept Representations
The referenced articles explore various aspects of human image understanding, categorization, and the neural basis of visual perception. Biederman’s “Recognition-by-components” theory emphasizes how shape components aid object recognition. Subsequent studies, such as those by Edelman and Goldstone, delve into the relationship between similarity and categorization, proposing frameworks for cognitive processes. Research by Rosch and others discusses natural categories and basic objects, while Mahon and Caramazza examine cognitive neuropsychology’s insights into concepts and categories. Emerging studies focus on the interplay between deep learning models and human cognition, such as capturing human categorization and object representation. Cross-disciplinary research investigates the alignment of visual and linguistic representations in the human brain and large language models. Ultimately, these works form a cohesive body of literature that informs our understanding of cognitive processes, combining insights from psychology, neuroscience, and artificial intelligence.
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Is Your Resume Being Ignored? How AI Could Be the Culprit Behind Unanswered Job Applications
A 42-year-old engineer in Ho Chi Minh City, Khanh, has faced challenges in the job market despite being qualified for numerous roles, often receiving no responses to his applications. This reflects a broader trend where candidates are overlooked due to the increased use of Artificial Intelligence (AI) and Applicant Tracking Systems (ATS) in recruitment. These systems filter resumes based on keywords, causing potential strong candidates to be rejected for minor formatting issues or lack of specified keywords. Reports indicate that 70% of organizations have seen AI misjudge qualified applicants, leading to frustrations among job seekers. Experts advise that understanding ATS functionality is crucial, urging applicants to tailor their resumes strategically to match job descriptions closely. For Khanh, adopting this tactical approach turned his fortunes around, highlighting that presentation, rather than qualifications, often determines success in today’s tech-driven hiring processes.
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Essential AI Apps You Need to Install Today!
AI is becoming increasingly integrated into daily life, particularly through mobile devices. Many users now prefer chatbot sessions to traditional Google searches due to more sophisticated and valuable results, despite potential issues like hallucination. This shift has spurred the development of advanced AI models for smartphones, particularly benefiting Android users. Notable AI chatbots include:
- ChatGPT: Lauded for its interactive audio and impressive image generation capabilities, appealing for creative uses.
- Gemini: Embedded withinGoogle’s services, it offers solid performance, though its image generation isn’t as refined as ChatGPT’s.
- Claude: Known for its strong coding abilities and voice features, making it versatile for users.
- DeepSeek: Affordable and effective, it excels in web search and reasoning, with an open-source version for private use.
- PocketPal: A downloadable option that allows access to smaller, efficient AI models directly on devices.
The future looks bright for smartphone AI chatbots, with ongoing improvements expected.
Alibaba and Tencent Halt AI Services During Key National Exam in China (BABA:NYSE)
China’s leading AI chatbots, including Alibaba’s Qwen, have disabled certain functions, like picture recognition, ahead of the annual “gaokao” college entrance exams to curb cheating among students. This measure reflects efforts to maintain the integrity of the high-stakes testing process. Tencent’s apps are also affected by similar restrictions. By temporarily limiting these features, authorities aim to ensure a fair and level playing field during the examination period. This decision highlights the ongoing battle between technological advancements and educational integrity in China.
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Enhancing Real-Time Forecasting of Infectious Diseases with Large Language Models
This collection of research highlights advances in modeling and forecasting the COVID-19 pandemic, focusing on various methodologies and interventions across different regions. Giordano et al. outline population-wide interventions in Italy, while Li et al. demonstrate how wastewater epidemiology predicts hospital admissions in over 150 U.S. counties. Other studies emphasize the significance of incorporating genomic diversity and variant frequencies into short-term forecasts. For instance, Du et al. apply deep learning to refining predictions of cases and mortality. Collaborative hubs are discussed by Reich et al. to enhance predictive modeling efforts. The effectiveness of large-scale anti-contagion policies is examined by Hsiang et al., revealing a complex landscape influenced by an array of demographic and behavioral factors. Overall, the research emphasizes the critical role of data science, modeling, and interventions in managing public health responses to COVID-19, showcasing the intricate interplay of various components in understanding and mitigating the epidemic.
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RedNote Emerges as the Newest Chinese Contender in Open-Source AI Models
RedNote has enhanced its AI initiatives by introducing Diandian, an AI-driven search app designed to aid users in locating content on Xiaohongshu. Meanwhile, Alibaba has also embraced the open-source trend with the April release of Qwen 3, an upgraded version of its AI model. additionally, the start-up DeepSeek made waves in the global AI sector earlier this year by launching its R1 model as open-source software. The R1 has demonstrated impressive performance while being significantly more affordable than its Western counterparts, showcasing a growing trend towards accessible AI solutions.
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Essential LLM AI Insights for Crypto Traders: Unraveling Market Risks and Opportunities | Flash News Update
The recent surge in interest around Artificial Intelligence (AI) and Large Language Models (LLMs) has significantly impacted financial markets, particularly cryptocurrencies. On June 7, 2025, a social media post by Edward Dowd highlighted the importance of these technologies and their influence on market sentiment. AI tokens like Fetch.ai (FET) and SingularityNET (AGIX) experienced notable price increases—FET rising 8.3% to $2.15 and AGIX gaining 6.7% to $0.92, driven by increased trading activity. This momentum reflects a broader interest in AI-driven tech, with stocks like NVIDIA and Microsoft also showing gains. There is a strong correlation between AI-related stock performance and cryptocurrencies, with Bitcoin rising 2.1% on the same day. Traders are advised to monitor AI token pairs for opportunities, though caution is warranted due to potential overbought conditions. The interplay between AI narratives and market performance underscores a dynamic trading environment for AI tokens amid heightened speculative interest.
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