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New MIT class uses anthropology to improve chatbots | MIT News

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is…

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Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space

Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001 and is designed specifically to address the high-dimensional storage and cross-modal retrieval challenges faced by AI developers building production-grade Retrieval-Augmented Generation (RAG) systems. The Gemini Embedding 2 release marks a significant technical shift in…

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How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents

class MetaAgent: def __init__(self, llm: Optional[LocalLLM] = None): self.llm = llm or LocalLLM() def _capability_heuristics(self, task: str) -> Dict[str, Any]: t = task.lower() needs_data = any(k in t for k in [“csv”, “dataframe”, “pandas”, “dataset”, “table”, “excel”]) needs_math = any(k in t for k in [“calculate”, “compute”, “probability”, “equation”, “optimize”, “derivative”, “integral”]) needs_writing =…

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Fish Audio Releases Fish Audio S2: A New Generation of Expressive Text-to-Speech (TTS) with Absurdly Controllable Emotion

The landscape of Text-to-Speech (TTS) is moving away from modular pipelines toward integrated Large Audio Models (LAMs). Fish Audio’s release of S2-Pro, the flagship model within the Fish Speech ecosystem, represents a shift toward open architectures capable of high-fidelity, multi-speaker synthesis with sub-150ms latency. The release provides a framework for zero-shot voice cloning and…

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A better method for planning complex visual tasks | MIT News

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques.Their method uses a specialized vision-language model to perceive the scenario in an image and simulate actions needed to reach a goal. Then a second model translates those…

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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology | MIT News

Joseph Paradiso thinks that the most engaging research questions usually span disciplines. Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists,…

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How AI and Virtual Assistant help.

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Ready to kickstart your career as a Virtual Assistant? This free YouTube course is designed to guide you — even if you’re starting from scratch. Learn essential VA skills, tools, and strategies to land clients, build your profile, and work from anywhere.

✅ What You’ll Learn:

  • What a Virtual Assistant is and what they do
  • Top skills every successful VA should master
  • How to create a winning profile and proposal
  • Tools (including AI!) to boost your productivity
  • Real client examples and platforms to apply on

No experience? No problem! Start learning today and become a confident, skilled Virtual Assistant — for free!

AI tools are transforming the way we work, create, and communicate. From writing emails and generating images to automating tasks and analyzing data, these smart tools help individuals and businesses save time, boost productivity, and stay competitive in the digital age.

Whether you’re a freelancer, virtual assistant, marketer, content creator, or entrepreneur — AI tools can simplify your workflow and unlock powerful results..

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📈 Make smarter decisions with AI-powered analytics


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