Meta Platforms released its newest Llama 4 AI models on Saturday after two delays. The company touted the multimodal aspect of the Llama 4 Scout and Maverick systems, which can process and integrate various types of data. They are now available for developers to try on Meta’s apps and the Meta.ai website.
Meta added that the launch marks the beginning of a new era for the Llama ecosystem, as they run as open-weight models, meaning they are capable of working with a range of media beyond text, such as video, images, and audio. The company claims the models are best in class, beating rivals, including OpenAI’s GPT4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks. However, it teased that the best is yet to come. The Facebook owner said it is previewing the Llama 4 Behemoth, one of the smartest LLMs in the world and their most powerful yet to serve as a teacher for the new models.
Meta could end up further delaying the release of Llama 4 due to performance issues after its launch had already been rescheduled twice. One of the reasons for the delay is that Llama 4 was not meeting the company’s expectations on technical benchmarks, such as reasoning and math tasks. Meta was also concerned that Llama 4 is not as capable as OpenAI’s models when it comes to conducting humanlike voice conversations. The social media giant has stated it plans to invest $60 billion to $65 billion in 2025 as part of a scheme to broaden its AI infrastructure.
Burra was created as a platform for consolidating IT services companies in Southeast Europe, with a commercial focus on Western Europe and the United States. Its first members, Devōt, Tacta and CoreLine, continue to run their existing businesses while integration is planned gradually, primarily through new projects. Sven Marušić says the aim is not to turn founders into corporate employees, but to build a larger organisation in which they remain shareholders and drivers of growth.
Telecom operators are no longer using AI only for network optimisation and routine operations. They are applying it to faster product development and customer conversations. Matija Ražem says AI enables prototypes in hours, quicker market testing, and automation of many standard support questions. The next step may be a world where personal digital agents interact with agents from telecoms, banks and other large organisations.
ReversingLabs is developing agent-based approaches to security operations, while warning that the expertise needed to manage such systems will become even more critical.
