Postone should not forget the contributions of meta in the open source AI. after a period of silence, it seems that meta is …

one should not forget the contributions of meta in the open source AI. after a period of silence, it seems that meta is making a come back which is good for the open models. Meta just announced Muse Spark 1.3, a new multimodal reasoning model designed for complex, long-horizon agentic work, coding, and general computer use. This release is particularly noteworthy because Meta plans to open-weight the model very soon, which is exciting news for the open-source community. Muse Spark 1.3 features an impressive 1 million token context window and is priced competitively at $1.25 per million tokens for input and $4.25 for output. Meta claims this model stands toe-to-toe with leading models like GPT-5.6 and Opus 5 on agentic and coding benchmarks. Tests have shown Muse Spark 1.3 performs strongly in professional tool use and agentic computer tasks, often outperforming competitors. It particularly shines in long context retrieval, maintaining high accuracy in the high 90s, while other models tend to decline significantly. In practical demonstrations, the model successfully handled complex tasks. For example, when given a goal to build and deploy a self-contained animation website to AWS S3 and CloudFront, it autonomously planned and executed all necessary steps, including creating the S3 bucket, uploading the HTML file, and configuring the CloudFront distribution, resulting in a fully working website. It also showcased strong vision capabilities by accurately interpreting a WhatsApp conversation, understanding nuanced double meanings and situational awareness. Furthermore, it provided a flawless, step-by-step solution to a challenging chemistry and math problem, demonstrating robust scientific reasoning. Its multilingual capabilities are also impressive, generating culturally aware drink lists across 80 languages with correct native scripts. This model was run using an agent like Hermes, where it plans and executes commands based on a single prompt, highlighting its autonomous capabilities. For more details, you can read the official announcement here: https://research.meta.com/blog/introducing-muse-spark-1-3/ This release from Meta underscores their commitment to advancing AI research and making powerful tools accessible. It will be interesting to see how the community leverages its capabilities once it is open-weighted. What are your thoughts on Muse Spark 1.3 and its potential impact on agentic AI? Please subscribe to t.me/iaosai for more updates and discussions.