After experimenting with 14 large language models (LLMs) for coding tasks, the author offers insights into their performance, especially in developing WordPress plugins. Despite initial enthusiasm for AI’s capabilities, only five models—ChatGPT Plus (also known as GPT-4o), Perplexity Pro, Google’s Gemini Pro 2.5, Microsoft’s Copilot, and Claude 4 Sonnet—are recommended for programming. The author notes that some free versions can perform adequately without payment. While LLMs are excellent for limited coding tasks, they struggle with complex programming projects. Notably, Claude 4 Sonnet outperformed its paid counterpart, Claude 4 Opus, surprising the author. Additionally, other chatbots like DeepSeek and Grok showed promise but had limitations. The rapid advancement in AI technology suggests continuous improvements in performance, prompting the author to revisit these tools in future tests.
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Top Coding AIs of 2025: Discover the New Champion and What to Avoid
RTPI Advocates for AI Planning Tools to Enhance Rather Than Replace Human Discretion
The Prime Minister has introduced “Extract,” an AI-powered tool designed to enhance administrative efficiency in the planning system and aid in delivering 1.5 million homes over the next Parliament. Dr. Victoria Hills, CEO of the Royal Town Planning Institute, emphasizes that while AI can ease the workload for planners, it should not override their discretion, expertise, and judgement. She welcomes AI’s role in speeding up administrative tasks and creating solid evidence for Local Plans, allowing planners to concentrate on complex, subjective decision-making. However, she warns that AI cannot replace the professional insight, common sense, and emotional intelligence essential for planning decisions. The concern is that merely expediting applications might lead to subpar developments, underscoring the need for a balance between technological assistance and professional judgement in the planning process.
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Hong Kong Develops AI Tool for Enhanced Breast Cancer Diagnosis
Researchers at the Hong Kong University of Science and Technology have introduced MOME, an innovative AI model for non-invasive breast cancer diagnosis. This model, trained on China’s largest multiparametric MRI breast cancer dataset, matches the accuracy of expert radiologists and is currently being tested in over ten hospitals, including Shenzhen People’s Hospital and Yunnan Cancer Center. Preliminary findings indicate that MOME is particularly effective at predicting responses to pre-surgical chemotherapy. This advancement underscores the burgeoning capabilities in medical technology within the region and has the potential to revolutionize breast cancer diagnostic approaches across Asia. The success of MOME may also lead to the development of similar AI models in oncology, signaling a shift toward AI integration in medical diagnostics.
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“Apple Acknowledges Siri AI Isn’t Ready: Time for a Swift Upgrade as Challenges Intensify” – Fortune
Apple has acknowledged that its Siri AI is falling behind in the rapidly evolving AI landscape. Despite being a pioneer in voice assistant technology, Apple admits it hasn’t made significant advancements recently. The company faces pressure to enhance Siri’s capabilities, particularly as competitors like Google and Amazon continue to innovate. Analysts suggest that Apple must pivot to more advanced AI features to remain relevant. The need for urgency is apparent as the limitations of Siri are becoming increasingly clear, and Apple’s strategy appears to be lacking a solid plan for Siri’s future. As the “end of the Siri runway” approaches, Apple needs to focus on substantial improvements and innovations to keep up with rivals and meet consumer expectations in the AI market. The situation reflects a critical juncture for Apple, emphasizing the need for a strategic shift to boost Siri’s effectiveness and relevance.
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15 Innovative Vibe Coding Tools Revolutionizing AI-Driven Software Development in 2025 – MarkTechPost
In 2025, AI-driven software development is set to be revolutionized by innovative coding tools. The top 15 coding tools enhance productivity and streamline workflows, integrating AI capabilities to assist developers in various tasks. These tools offer features such as code generation, debugging, and real-time collaboration, making software creation more efficient. By automating repetitive tasks and providing intelligent suggestions, they enable developers to focus on more complex problems. Additionally, the tools support various programming languages and frameworks, catering to diverse needs in the tech industry. The incorporation of AI enhances the learning curve for newer developers while enabling seasoned professionals to amplify their capabilities. As the landscape of coding evolves, these tools represent a significant shift towards a more intuitive, user-friendly development environment. Overall, the rise of AI-driven coding tools exemplifies a transformative era in software development, promising greater innovation and efficiency for developers worldwide.
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Study Reveals Advanced AI Faces ‘Total Accuracy Collapse’ When Tackling Complex Challenges
Apple researchers have identified significant limitations in large reasoning models (LRMs) of artificial intelligence, questioning the industry’s push toward more powerful AI systems. In a recently published paper, they revealed that LRMs experienced a “complete accuracy collapse” when faced with complex problems, while standard AI models performed better in simpler tasks. As complexity increased, both model types struggled, with LRMs beginning to reduce their reasoning effort despite the rising difficulty. This inefficiency was highlighted during tests involving puzzles, leading to concerns about the sustainability of current AI approaches. Gary Marcus, an academic voice of caution, described the findings as “devastating,” challenging the notion that large language models (LLMs) will lead directly to artificial general intelligence (AGI). The paper suggests the AI field may be at a dead end, as LRMs struggle with generalizable reasoning, hinting at fundamental barriers that could hinder future advancements in AI capabilities.
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“New Research Reveals AI’s Impact: Increasing Worker Isolation, Apathy, and Loneliness” – Inc.com
Recent research indicates that the increasing reliance on AI in the workplace is leading to detrimental effects on employee well-being. Workers are becoming more anti-social, unmotivated, and lonely due to reduced face-to-face interactions and the growing presence of technology in their daily tasks. The study highlights that while AI can enhance productivity, it may also erode essential social connections and collaboration among colleagues. Many employees feel isolated as technology replaces traditional teamwork and communication. The findings suggest that organizations need to consider the mental and emotional impact of AI integration. To counteract these negative effects, fostering a work environment that encourages social interactions and prioritizes human connections is crucial. Balancing technology use with personal engagement can help maintain motivation and a supportive workplace culture, ultimately benefiting both employees and overall productivity.
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Seoul National University Hospital Launches LLM-Powered Precision Medicine Decision Support System – Healthcare IT News
A precision medicine decision support system powered by a large language model (LLM) has been launched at Seoul National University Hospital. This innovative system aims to enhance clinical decision-making by providing tailored medical recommendations based on patient data and treatment guidelines. The LLM analyzes vast datasets, including clinical literature and patient records, to deliver insights that can improve diagnosis, treatment options, and overall patient outcomes. By integrating advanced AI technology with healthcare practices, the system supports healthcare professionals in crafting personalized care strategies. The implementation marks a significant step in the use of artificial intelligence in healthcare, promoting more effective and individualized approaches to patient management in the rapidly evolving landscape of medical science. This initiative underscores the hospital’s commitment to leading advancements in medical technology and improving patient care through data-driven insights.
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The Trade Desk Launches AI Tool to Enhance Performance of Struggling Digital Ad Campaigns
The Trade Desk has unveiled ‘Deal Desk,’ a new feature within its Kokai platform aimed at enhancing the efficiency and transparency of direct deals between advertisers and publishers. Recognizing that many programmatic advertising agreements underperform due to a lack of insight into impression quality and pacing, Deal Desk utilizes artificial intelligence to provide detailed performance metrics and alternative inventory options for both parties. Key features include Deal Quality Scores for advertisers, tools for publishers to manage deal terms, automated prioritization for deal activation, and flexible terms for adapting to delivery challenges. Disney is one of the first to adopt this platform for private marketplace transactions, emphasizing the importance of tools that enhance buyer efficiency. The Trade Desk plans to initiate beta testing for Deal Desk in the third quarter of 2025, with the goal of advancing relationships between advertisers and premium publishers while addressing supply chain challenges in digital advertising.
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“Empowering Education: Microsoft’s Discreet Integration of AI in Indian Classrooms through Innovative Tools and Collaborations” – Moneycontrol
Microsoft is making significant strides in integrating AI into Indian classrooms by developing practical tools and forming partnerships with educational institutions. The tech giant is collaborating with various organizations to create resources that enhance learning experiences. Initiatives include AI-driven applications that assist teachers in delivering personalized education and assessment tools that streamline student performance tracking. Microsoft’s focus is not only on technology deployment but also on training educators to effectively use these tools, ensuring they can harness the full potential of AI in teaching. This approach aims to bridge educational gaps and provide students with skills relevant to the future job market. By fostering an ecosystem of innovation, Microsoft is positioning itself as a pivotal player in the transformation of India’s education sector, enhancing learning outcomes and accessibility for students across various socioeconomic backgrounds.
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