
Wrinkles is a newly launched app that uses AI to provide audio-guided tours based on your location, revealing hidden stories and histories of the places around you. Founded by David Stemler and Ryan Hansan, the app covers 1.3 million points of interest in 177 countries, allowing users to explore local lore without being glued to their screens. The app is designed to be used not just for travel, but also for everyday exploration, offering a unique way to engage with familiar surroundings. Wrinkles is free for users, with revenue generated from partnerships with museums and tourism boards.
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© TechCrunch AIChina's Z.ai has developed GLM-5.2, an open-weight AI model that is catching up with leading models like OpenAI's GPT-5.5 and Anthropic's Claude Opus 4.7. However, this advancement comes with significant safety concerns, as GLM-5.2 lacks the robust safeguards found in its closed-weight counterparts. The model's inability to refuse harmful tasks in cyber and biological domains underscores the growing gap between AI capabilities and safety measures. As open-weight models become more advanced, the challenge is to manage the risks associated with their unrestricted use, especially when users can easily bypass or remove safeguards. This situation calls for a careful balance between making AI capabilities accessible and ensuring they are safe to use.
© TechCrunch AIAnthropic has made a bold move by securing a $10 billion deal with Volta, a newly established AI cloud startup. This partnership will enable Anthropic to access cloud computing resources from Volta over a six-year period, powered by Nvidia's state-of-the-art Vera Rubin systems. The collaboration also involves Bitdeer, a crypto-mining company, which will contribute to the development of a data center in Norway with a 133 megawatt capacity. This agreement is a strategic step for Anthropic as it seeks to expand its computing capabilities and maintain a competitive edge in the AI industry.
© TechCrunch AIThe newly formed Open Secure AI Alliance, led by Nvidia, is already making strides with the creation of the Shared AI Findings Exchange (SAFE). This working group is actively developing proposals for AI cybersecurity incident reporting and analysis, with the Linux Foundation managing these efforts. While the guidelines are not groundbreaking yet, the rapid collaboration among over 120 companies, including major players like Adobe and Microsoft, signals a strong commitment to open-source AI security. The absence of Google and OpenAI, despite their initial support, adds an intriguing dynamic as the group gains momentum.
© The Verge AIHank Green, a well-known YouTuber, has sparked a conversation about the psychological impact of AI tools by describing his use of them as 'not healthy.' While he used AI primarily for research, his comments highlight a broader issue of potential dependency on AI technologies. This discussion parallels concerns about social media's impact on mental health, suggesting that AI could similarly affect users' cognitive skills and well-being. As AI adoption grows, understanding its psychological effects becomes increasingly important, though comprehensive research is still in its early stages.
© WIRED AIThe music world is buzzing with controversy as an AI music app, Treblo, has flagged popular tracks by Fenix Flexin and Tyga as likely AI-generated. This revelation comes after a music producer demonstrated how similar songs could be created using Treblo's generative capabilities. The app's new detection tool suggests that these tracks, which have been debated all summer, may not be entirely human-made. This development raises questions about authenticity in music production and the role of AI in shaping modern hits.
© Google AI BlogGoogle and Kaggle's '5-Day AI Agents: Intensive Vibe Coding Course' attracted a massive audience of over 353,000 participants, highlighting the increasing interest in programming through natural language. This course provided developers with a comprehensive understanding of AI agent development, from initial design to cloud deployment. Participants actively collaborated on Kaggle's Discord, resulting in over 6,000 capstone project submissions that showcased innovative solutions like Palimpsest and Project ARIES. The event reflects a shift towards more inclusive and collaborative AI learning environments. With all course materials available for self-paced learning, developers can continue to refine their skills and engage with the global AI community.