Meituan LongCat releases LongCat-2.5, a native multimodal model focused on long-horizon agent tasks
Meituan LongCat launches LongCat-2.5, a native multimodal model designed for long-horizon agent tasks with 1.6 trillion parameters and approximately 48 billion active parameters per token, building on LongCat-2.0 to enhance native visual understanding and agent programming capabilities.
Continue looking at this topic
OpportunitiesAfter half a year in Shengcai, how did a beginner earn 100,000+ with AI? ↗News and AnalysisAI agents generated only hundreds of orders: how should we view DoorDash's pilot? ↗Open-source projectMultiple agents share a single warehouse: are the rules and Git hooks sufficient? ↗Hotly discussed viewsConcerned that agents may become less capable after data desensitization? Which task details should be retained first? ↗Return to original text
A short introduction is retained here; the full text from the source website is not reposted. For specific wording and subsequent updates, please refer to the original article.
Open AIHOT original