Meta removes rival chatbots from WhatsApp

Italy's competition regulator is expanding its investigation into Meta's policy that excludes rival AI chatbots from WhatsApp, a probe that initially began in July. This scrutiny reflects concerns about competitive practices in the AI messaging space and the implications for user choice and innovation.

The US Cybersecurity and Infrastructure Security Agency (CISA) has issued a warning that hackers are targeting encrypted messaging apps like Signal and WhatsApp using commercial spyware that exploits vulnerabilities in specific phones and accounts. This alert highlights the ongoing risks associated with these platforms, including phishing attempts and zero-click exploits aimed at high-value users.

Ilya Sutskever, co-founder of SSI and former Chief Scientist at OpenAI, emphasizes the need for a new learning paradigm in AI development, advocating for models that learn more efficiently, akin to human learning. He believes that fundamental research is essential at this pivotal moment in AI evolution.

Andrej Karpathy, former director of AI at Tesla and a founding member of OpenAI, created a 'vibe code project' over the weekend, allowing multiple AI assistants to collaboratively read and critique a book, ultimately synthesizing a final answer under a designated 'Chairman.' The project, named LLM Council, was shared on GitHub with a disclaimer about its ephemeral nature.

Andrej Karpathy, a former researcher at OpenAI and executive at Tesla, has declared that the effort to control AI-generated homework has been lost, urging educational institutions to cease their attempts to police it. He emphasizes the futility of trying to regulate AI's influence on academic work, suggesting a need for a paradigm shift in how education approaches technology.

Meta has launched SAM 3, the latest iteration of its Segment Anything Model, which significantly enhances segmentation capabilities by improving accuracy, boundary quality, and robustness in real-world scenarios. This update is the most substantial since the model's inception, aiming to provide more reliable segmentation for both research and production workflows.

A novel system called InferF has been proposed to enhance AI/ML workflows by factorizing inference computations over multi-way joins of datasets. This approach aims to minimize redundant computations by decomposing machine learning tasks into sub-computations executed on normalized datasets, addressing the limitations of existing methods.

Nvidia expressed satisfaction with Google's advancements in AI but asserted that its technology is a generation ahead, following reports that Meta may utilize Google's Tensor Processing Units (TPUs) in its data centers. This statement comes amid growing competition in the AI chip market.