Multimodal Models

AIAI-generated summary Google announces new features and expanded availability for Gemini Intelligence across multiple Android devices and hardware models. Google says the update introduces tools like Rambler and task automation to help users manage everyday tasks.

AIAI-generated summary Google has added Gemini 4 Carbon Low, Medium, and High variants to the latest Antigravity build according to recent reports. The new variants are not available publicly yet.

AIAI-generated summary Google is releasing a new Gemini model today according to a report from testingcatalog. The publication states that Gemini 4 Carbon is the most likely candidate alongside a potential Flash model.

AIAI-generated summary Meta has introduced Muse Ember as a smaller and more efficient multimodal addition to its Muse model family. Meta says the new model is priced competitively with other systems and can operate desktop apps from screenshots.

AIAI-generated summary Tulsee Doshi serves as head of product for Google's frontier AI models, which include Gemini and multimodal systems like Nano Banana and Genie. The source material discusses the requirements and process for building these frontier artificial intelligence models.

AIAI-generated summary Amazon Web Services, Inc. announces that Kimi K3.1 Pro from Moonshot AI is now available on Amazon Bedrock. Moonshot AI states that Kimi K3.1 Pro is a natively multimodal agentic model featuring a 1-million-token context window.

AIAI-generated summary Salesforce introduced Koa Decisions on November 6, 2026, as a decision model built from Google’s open-weight Gemma that accepts text, images, and audio. Salesforce plans to expand the technology beyond Agentforce request routing into Salesforce workflows and developer tools.

AIAI-generated summary Google says Gemini 4 Carbon is a multimodal model designed for cybersecurity tasks and ranks first on Artificial Analysis’ Intelligence Index. Anthropic filed an S-1 registration statement to list its shares on the Nasdaq stock exchange under the ticker symbol ANT.

AIAI-generated summary Thinking Machines released Inkling 2 Small, a 594B-total and 17B-active multimodal MoE trained in 68 hours on 12T tokens. The model features a 1M context window and is available on Tinker with Apache 2.0 weights promised next week.

AIAI-generated summary Google Cloud makes Gemini Omni 1.2 Flash available on Google Cloud for business users and developers. Google Cloud says the model is fast, cost-effective, and follows image, video, and audio references more closely than before.

AIAI-generated summary Moonshot AI has released Kimi K3.1 Pro as an open-weight, natively multimodal agentic model featuring a 1-million-token context window. Moonshot AI says the model delivers substantial improvements in coding, 3D creation, financial research, factual accuracy, and other agentic capabilities.

AIAI-generated summary Mistral released Mistral Large 4 (Le Chonk), a 1-trillion-parameter multimodal model, available with improved coding, cybersecurity, and reasoning efficiency. Mistral says the model leads open-weight benchmarks in coding and defensive security while offering three reasoning modes for cost-performance balance.

AIAI-generated summary Meituan released the LongCat-2.5 multimodal AI model on Monday, which was trained entirely on domestically produced Chinese AI accelerators. Meituan deployed the model inside Miaoshow to help restaurant and hotel operators analyze business performance and execute operational tasks.

AIAI-generated summary GoogleDeepMind released an early preview of Gemini 4 Carbon, which was put through tests covering 3D generations and UI tasks. The testing evaluated Gemini 4 Carbon against other models including Gemini 4 Argon, Claude Opus 5.5, GPT-6.1 Sol, Muse Wonderful, Kimi and DeepSeek.

AIAI-generated summary Liquid Foundation Models releases LFM3 as a new generation of multimodal models for text, vision, audio, omni, and decision tasks. The company states that LFM3 models are built for specialized intelligence, allowing fine-tuning on a single GPU and local deployment on various devices.