Composer 2.5 is now available inside Grok Build.
Composer 2.5 is a fast, highly intelligent model that excels on long-running tasks and following complex instructions.
Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation.
Multimodal interactive hybrid agent: unified GUI & CLI operation across visual and text tasks
Versatile coding agent & productivity assistant with full-modality input
Visual Agent: perception, reasoning, grounding, and search-augmented QA
Cross-harness generalization across diverse agent frameworks
One model. Sees, thinks, codes, acts.
Now available via API on Alibaba Cloud Model Studio. Try it — let us know what you build.
Blog:
https://
qwen.ai/blog?id=qwen3.
7-plus
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Qwen Studio:
https://
chat.qwen.ai/?models=qwen3.
7-plus
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API:
https://
modelstudio.console.alibabacloud.com/ap-southeast-1
?tab=doc#/doc/?type=model&url=2840914_2&modelId=qwen3.7-plus&serviceSite=international
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3 sources discuss ai agents, including @databricks, @mattshumer_, @RichardSocher. Data + AI Summit is where data, dev and AI teams go to level up. Whether you're building AI agents, scaling real-time pipelines, or trying to get more projects out of pilot and into production, the 2 Databricks CEO and co-founder @alighodsi joined @technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking ab
@databricks on ai startup funding. What are the defining traits of companies that put their AI initiatives into production? We looked at actual usage data across 20,000+ customers worldwide to identify the building blocks to a success
Would you share your medical records with a personal trainer? How about a virtual one? Google, which this week announced it is giving Fitbit's AI health coach the ability to read your medical records, is hoping the answer is yes, following rivals like Amazon, OpenAI, and Microsoft in betting that users are willing to trade their most sensitive data in exchange for more personalized health advice.
Starting next month in preview, US Fitbit users will be able to link their medical records to th...
Meta's Llama 3.1 405B is the first open-source model competitive with top closed models. Available for research and commercial use under a permissive license.
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After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has launched both an app that showcases the capabilities of its compressed models and an API that makes them more widely available.
@ollama on meta & llama. Nemotron 3 Nano 4B is now available to run via Ollama: ollama run nemotron-3-nano:4b Try it with Pi, the minimal agent runtime that powers OpenClaw: ollama launch pi --model nemotron-3-nano:4b Thi Ollama 0.18.1 is here! 🌐 Web search and fetch in OpenClaw Ollama now ships with web search and web fetch plugin for OpenClaw. This allows Ollama's models (local or cloud) to search the web for t
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Multiple AI voices are discussing Google / Gemini. Accounts including GoogleDeepMind, GoogleAI posted in the last 48h. @GoogleDeepMind (Google DeepMind): "At @GoogleDeepMind , we believe AI is the ultimate catalyst for science. The best example of this has been the AlphaFold database (AFDB) of protein structure predictions which has been used free of cost by more than 3.3 millions researchers across the world! Today, in" | @GoogleAI (Google AI): "Stitch is accessible by users 18+ who are located in regions where Gemini is available. Learn more about the platform and the updates we’re making today in our blog:"
LlamaIndex shares on Meta / Llama. @llama_index (LlamaIndex): "LlamaParse Agentic Plus mode now delivers precise visual grounding with bounding boxes for the most challenging document elements. Our latest update brings major improvements to how we handle complex visual content: Complex LaTex formulas - accurately parse mathematical" | @llama_index (LlamaIndex): "One of the hardest problems with document parsing is trust. How do you know the output actually corresponds to what's in the source? LlamaParse has visual grounding with bounding box citations for outputs, and it addresses exactly this. Two ways to use it: In the UI: hover"