I got this list in an ezine I subscribe to: Manus - A general AI agent that transforms your thoughts into actions, excelling at various tasks in work and life to deliver results while you rest. AdCreative - An AI-powered platform that generates high-conversion ads, copy, photos, and insights to enhance marketing. Tana - An AI-powered workspace that turns notes into tasks, projects, and structured content. Reach - Artificial Societies uses AI to simulate human interactions, enabling businesses to test and refine content before actual launch.

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Manus just announced a strategic partnership with Alibaba's Qwen team to develop a Chinese version of its autonomous agent platform, following the company’s viral success over the past week. - The collaboration will integrate Manus's agent capabilities with Qwen's open-source language models and computing infrastructure. - Manus, which currently runs on both Anthropic’s Claude and Qwen, will adapt its full feature set for Chinese users and domestic platforms. - The partnership follows Manus' invitation-only preview that demonstrated capabilities surpassing OpenAI’s DeepResearch on agentic benchmarks. - Qwen has also had a busy month, launching a new open-source reasoning model (QwQ-32B) and major upgrades to its chat platform.

In this tutorial, you will learn how to build a personal AI assistant on Telegram that can answer questions, remember conversations, and eventually connect to other services using n8n's automation platform. 1. Create a Telegram bot - search for "BotFather" in Telegram, type /newbot, and save the API token you receive. 2. Sign up for n8n (free 14-day trial) and create a new workflow with a Telegram trigger using your bot token. 3. Add an AI Agent node after the trigger, connect it to your preferred AI model (like those from OpenAI), and use the message text as the prompt. 4. Add a Telegram "Send Message" node to return the AI's responses to your chat using the chat ID from the trigger. 5. Enable Window Buffer Memory in the AI Agent settings so your bot remembers previous conversations. You can also expand the assistant’s capabilities by connecting it to calendars, emails, notes apps, and other services.

Google released new experimental image-generation capabilities for its Gemini 2.0 Flash model, letting users upload, create, and edit images directly from the language model without requiring a separate image-generation system. The details: - A 2.0-flash-exp model is available via API and in the Google AI Studio with support for both image and text outputs and editing via text conversation. - Gemini uses reasoning and a multimodal foundation to maintain character consistency and understand real-world concepts throughout a conversation. - For instance, you can prompt it to generate a story with pictures and then guide it to the perfect version through natural dialogue. - - Google says Flash 2.0 also excels at text rendering compared to competitors, allowing for ads, social posts, and other text-heavy design generations. This upgrade is a major step in shifting how AI generates visual content — moving away from dedicated image models toward language models that natively understand both text and visuals. Just as natural language prompting has taken over other domains, image editing appears to be next on the list.