The Institute of Foundation Models, or IFM, under the UAE’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), has released K2 Horizon and open-sourced six models in one batch: 0.9B, 3.7B, 7B, 32B, 36B-A4B, and 375B-A23B. IFM said the 0.9B version is aimed at edge devices such as watches and smart glasses, while the 7B model can run on phones. The largest model, 375B-A23B, uses a mixture-of-experts architecture and activates about 23B parameters per generated token. According to the institute, the 0.9B, 3.7B, and 7B variants set new benchmark results within their respective size classes. Beyond final weights, IFM said it will also release training code, data or data-construction recipes, intermediate checkpoints, training logs, and evaluation records. Some datasets cannot be redistributed directly because of licensing limits, though the team said it will disclose sources, construction methods, and mixture ratios. The models and code are released under Apache 2.0. Artificial Analysis gave the 375B-A23B model an Intelligence Index score of 47, close to MiniMax-M3’s 45, and said it performs better on agent tasks while showing weaker results in knowledge and hard reasoning.

The Institute of Foundation Models under MBZUAI has released the K2 Horizon family of open-source AI models, according to a Techub News item citing Crypto Briefing. The lineup includes six models, with parameter sizes ranging from 900 million to 375 billion. The release also includes the full training data. No additional details were provided in the brief. The update was published by Techub on Sept. 3, 2026.

Cerebras Systems surged 68% on its Nasdaq debut, hitting a $95B market cap. The AI chip maker's Series G included Donald Trump Jr.'s 1789 Capital, and a subsequent Pentagon contract sparked ethics concerns.

Cerebras CEO and co-founder Andrew Feldman said demand for AI compute has already been booked out, with the company holding a $25 billion backlog and seeing orders tied to a global buildout of data centers. Speaking on the All-In Podcast aired on July 10, 2026, Feldman argued that this cycle differs from earlier tech booms because customers are not waiting for capacity to appear before committing. He said buyers including OpenAI, Anthropic, SpaceX, Google, Microsoft and AWS are already lining up for more infrastructure. Feldman also framed reasoning as the next major compute sink. He said reasoning workloads consume massive amounts of tokens, making inference speed a central competitive factor, and claimed Cerebras can run 15 times faster in some cases. On open-source AI, he said enterprises increasingly want control, especially in regulated sectors, and described sovereign deployment as a growing priority. Feldman went even further on AGI, saying that by definitions commonly used 20 years ago, the industry has already passed the threshold. In the same conversation, Black Forest Labs CEO and co-founder Robin Rombach said the company is building multimodal models that span image, video, audio and action prediction. He described work with Martin Scorsese on AI-assisted visual ideation and said the longer-term opportunity is not just filmmaking. In his view, the same multimodal model used to create films could also serve as the brain of a robot.