Meta Stock Soars 3.61% on Threads Expansion, AI Advances
1min read On April 25, 2025, Meta's stock rose by 3.61% in pre-market trading, reflecting positive market sentiment towards the company's recent developments and strategic initiatives.
Meta's social media platform, Threads, is set to open up to advertisers in 30 markets, including the United States. This move is expected to create new revenue streams for the company. meta CEO Mark Zuckerberg previously mentioned that Threads has over 320 million users, with more than 1 million new registrations daily. Additionally, Meta's Reality Labs, which focuses on developing virtual reality and wearable devices, has reportedly laid off over 100 employees.
Meta has introduced a new real-time translation feature for its Ray-Ban Meta smart glasses, enhancing cross-language communication for users. This feature supports English, French, Italian, and Spanish, and can be used offline after downloading the necessary language packs. The company also plans to launch an AI-powered eyewear feature that allows users to make calls and send messages using the glasses, supporting both Meta's own Instagram and native messaging apps on iPhone and Android devices. Furthermore, Meta is expanding the availability of Ray-Ban smart glasses to new markets, including Mexico, India, and the United Arab Emirates, as part of its global strategy to increase market share in the wearable technology sector.
Ask Aime: Could Meta's Threads Chatbot Be the Next Big Thing for Social Media?
Meta has also made significant strides in the field of artificial intelligence with the introduction of the WebSSL series of models. These models, trained on 20 billion images from the MetaCLIP dataset, explore the potential of vision-based self-supervised learning without language supervision. The WebSSL models have shown impressive performance in various visual question-answering tasks, including OCR and chart interpretation, and have demonstrated good alignment with language models, indicating their ability to learn semantic features related to text.
