Users of the Amazon shopping platform have raised concerns about a serious issue with the Amazon Wishlist feature, which under certain circumstances could reveal the full delivery address of the person who created the wishlist. Information that had previously remained private became visible to others browsing the list, triggering concerns about safety and data protection.
Mikolaj Laszkiewicz
Nvidia has shipped the first samples of its new AI processors based on the Vera Rubin architecture to partners, combining the 88-core Vera CPU with Rubin GPUs equipped with up to 288 GB of HBM4 memory. This marks a major milestone in the development of hardware for advanced artificial intelligence workloads and is expected to significantly outperform current Blackwell-based solutions.
Apple has announced the construction of a new factory in Houston, Texas, which from 2026 will produce, among other things, servers for artificial intelligence workloads. The project is part of the company’s largest-ever investment plan in the United States – with total commitments exceeding half a trillion dollars – and the Houston facility is expected to create thousands of new jobs.
In an unusual example of corporate use of generative AI, engineers at Uber Technologies have created an AI-powered chatbot modeled on CEO Dara Khosrowshahi that employees use to prepare presentations ahead of meetings with senior leadership. The development highlights how deeply AI is already embedded into the workflow of one of the world’s largest transportation and delivery platforms.
Japanese consumer electronics giant Panasonic has officially announced that starting in 2026 it will stop manufacturing its own televisions, transferring production, sales, and marketing to an external partner. The move can be seen as the unofficial “end” of Panasonic-made TVs.
The largest US technology giants are expected to collectively spend around $650 billion this year on artificial intelligence infrastructure and development, according to an analysis by Bridgewater Associates. At the same time, analysts at Goldman Sachs argue that AI spending so far has essentially failed to translate into measurable US GDP growth, raising questions about the efficiency and speed at which these investments convert into real economic gains.
Chinese startup DeepSeek used Nvidia’s most advanced AI chips, which are subject to US export restrictions, to train its latest artificial intelligence model – according to officials from the US administration. The development once again puts the effectiveness of export controls and the pace of China’s AI advancement at the center of debate.
Meta’s director of AI safety and alignment, Summer Yue, accidentally allowed an autonomous artificial intelligence agent to delete her inbox, even though she had explicitly instructed it not to do so. The incident, which she described herself on social media, has become a high-profile example of challenges related to AI safety and control.
An international analysis of 81 headphone models detected potentially hazardous substances in every product tested. Researchers warn about long-term health effects and point to regulatory gaps concerning chemicals in consumer electronics.
OpenAI chief Sam Altman said publicly that some companies are attributing job cuts to artificial intelligence even though the layoffs were driven by other factors. At the same time, economic data shows that AI’s impact on employment at the macro level remains unclear.
