Threads introduces 'ghost' posts that disappear after 24 hours

Recent reports highlight the troubling trend of users of Meta's Ray-Ban glasses filming and harassing workers at massage parlors. This misuse of covert recording technology raises serious concerns about privacy and consent, as individuals seek likes and online fame at the expense of others' dignity and safety. It's a stark reminder of the potential dangers of technology when used irresponsibly.

InstaScrape is an innovative tool designed to scrape comments from Instagram Reels effortlessly. With features like automated login, async speed, and real-time progress tracking, it simplifies the process of gathering insights from social media. This tool is significant as it allows users to analyze engagement and feedback on their content without the hassle of manual cookie management, making it a valuable resource for marketers and content creators alike.

Elon Musk's recent announcement about X's new AI system, Grok, replacing human-set algorithms has ignited a lively debate on social media. This shift raises important questions about transparency, control, and potential biases in content moderation. As AI takes a more central role in managing online interactions, understanding its implications becomes crucial for users and stakeholders alike.

In the rapidly evolving world of AI, there's a growing trend of teams, from solo founders to large enterprises, racing to implement AI features. While major companies like OpenAI, Google, and Meta are investing heavily in new models, you don't need a massive budget to create impressive AI applications. The key lies in leveraging the right open-source tools and frameworks that offer control, transparency, and the freedom to innovate. This article highlights five essential open-source repositories that can empower developers to build exciting AI apps without breaking the bank.

A recent study highlights the ongoing challenges in measuring bias in content moderation systems that use language models. While these models are essential for maintaining safety on social media platforms, they often reflect and perpetuate existing racial and social biases. Despite the development of various resources aimed at addressing these issues, the fairness of these models remains a significant concern. This research introduces an unsupervised method to better assess model bias, which is crucial for improving content moderation practices and ensuring equitable treatment across diverse user groups.

The introduction of V-SAT, a new video subtitle annotation tool, comes at a crucial time as the demand for accurate subtitles grows with the rise of audiovisual content on streaming platforms and social media. This tool aims to address common issues faced by existing subtitle generation methods, such as poor synchronization and incorrect text, making content more accessible and enjoyable for viewers. By improving subtitle quality, V-SAT not only enhances user experience but also supports inclusivity for those who rely on subtitles.

The introduction of MuSaG, a groundbreaking German sarcasm dataset, marks a significant advancement in understanding complex language nuances. Sarcasm often complicates communication, especially in digital spaces, and this dataset aims to enhance natural language processing by integrating audio and visual cues. This is crucial as it not only aids in sentiment analysis but also improves content moderation, making online interactions safer and more comprehensible. As multimodal models become more prevalent, MuSaG could set a new standard for how we interpret sarcasm in various contexts.

A new method called META-RAG has been introduced to enhance retrieval-augmented generation in evidence-based medicine. This approach aims to improve how medical professionals access and utilize high-quality evidence, which is crucial for reducing misdiagnoses. By leveraging large language models, META-RAG addresses the challenges faced in distinguishing reliable medical information, ultimately supporting better clinical decision-making. This innovation is significant as it could lead to improved patient outcomes and more effective healthcare practices.

This article provides a practical guide on using APIs for real-time data collection with Python. It explains the importance of APIs, how they function, and offers step-by-step instructions for beginners. Understanding APIs is crucial in today's data-driven world, as they enable seamless integration and access to valuable information.

Amazon has launched Project Rainier, a groundbreaking $11 billion AI data center in Indiana, spanning 1,200 acres. This facility is set to enhance the capabilities of Anthropic's AI models, utilizing over 500,000 Amazon Trainium 2 chips. This development is significant as it not only showcases Amazon's commitment to advancing AI technology but also promises to create jobs and stimulate the local economy in Indiana.

In a recent discussion, UL's Professor Donna O'Shea emphasized the critical role of cybersecurity in digital engineering, highlighting the need for cyber resilience in our increasingly interconnected systems. This conversation is particularly relevant as digital sovereignty becomes a central theme in protecting sensitive data and infrastructure. As technology evolves, understanding these concepts is essential for businesses and individuals alike to safeguard against cyber threats.

BIWIN's Mini SSD has been honored by TIME magazine as one of the Best Inventions of 2025, marking a significant achievement as the only storage product to make this year's esteemed list. This recognition highlights the innovative technology behind the Mini SSD and its impact on the storage industry, showcasing BIWIN's commitment to excellence and advancement in data storage solutions.

AI is transforming the software development landscape, particularly within Agile methodologies. By following six essential rules, teams can enhance their productivity and improve the quality of their projects while being mindful of the significant risks involved. This shift is crucial as it not only streamlines processes but also empowers developers to focus on innovation and creativity, making it a pivotal moment for the industry.

In the October 2025 edition of AIhub's monthly digest, we explore key developments in AI, including insights from the AIES and ECAI conferences. This month highlights the challenges in energy supply, the role of wearable sensors, and advancements in atomic-scale simulations. These topics are crucial as they reflect ongoing innovations and discussions in the AI community, shaping future technologies and policies.