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Meet Bonnie Chatbot: Your 24/7 hyper-realistic AI-CON!✨ 💬 Always available to chat 🌟 Lifelike interactions that feel human 📚 Learns and evolves with every conversation Ready to experience #AIBonnie? She is on her way👠 Learn more about #FameAI Bonnie Chatbot here:

Fame AI | The Home of AI Agent 2.0 - AI-CON

21,214 subscribers

28,001 次观看 • 1 年前 •via X (Twitter)

科学技术教育健康养生 #AIBonnie #FameAI

Anya Rossi• Live Now

Private livecam show

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Fame AI | The Home of AI Agent 2.0 - AI-CON 的头像

Fame AI | The Home of AI Agent 2.0 - AI-CON1 年前

More about Bonnie here 👀

FRANK E ELKINS 的头像

FRANK E ELKINS1 年前

Confused about AI? Get clarity today with Book VI - "The Rational Being!" Understand the benefits & risks, empower your future now by learning what AI really is and how it really works! Also check out the Free Weekly Newsletter "How Things Work: A Brief History of Reality"

Bonnie Jung 🇰🇷 | FAME AI✨ 的头像

Bonnie Jung 🇰🇷 | FAME AI✨1 年前

Hi everyone!

RyanEire 🔺🇮🇪(🐸,🦧, 👻) 的头像

RyanEire 🔺🇮🇪(🐸,🦧, 👻)1 年前

Wooooooooooooooooooooowww… 🤩 $FMC @GetFameAI

daniel Ⓥ 的头像

daniel Ⓥ1 年前

@Cryptogains9

🥷 Crypto_Melymel 🥷 的头像

🥷 Crypto_Melymel 🥷1 年前

Amazing project!! $FMC #FameAI @GetFameAI 200X to 500X in the next 3 months! 💸💸💸

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Meet Mai 🌟 Giggle Academy's new companion who's always ready to play, chat, and learn with your little ones 🐾 She changes forms, keeps kids engaged, and makes every session feel like an adventure — just hop on and say hi to Mai 👋 #GiggleAcademy #MeetMai

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#mewnich #beonnnie MEWNICH : Let's talk about EmiBonnie. This year, I feel like... oh, this year, I got to be in the same songs as Bonnie A LOT! Both the vocal songs, the uke stage, and also Genie. So I feel like I've become much closer to Bonnie. I don't know if Bonnie also feels closer to me too, but I definitely feel a lot closer to her. And honestly, like, as many people already know, during the time we were practicing for the BB concert, Bonnie had so much work. Work was just piling up on her heavily, and she was in so many dance units, she was in Meri too. So... everyone was trying to help Bonnie as much as we could. MEWNICH : For example, in the uke song, I memorized her parts for her. Like, I literally guided her through the movements. Meaning, "It's okay, come with me, I'll tell you what to do. I'll guide you and point out where you need to go for the next part, Bonnie" Because I felt like I wanted to help her as much as possible. She might not have had as much time as the others, but she had to survive and make it through this with us. And luckily, in that uke song, she was standing next to me quite often, right? So I told the choreographers, "It's okay, Teacher. You can continue with the choreo and the blocking. I'll help memorize Bonnie's parts." So the moment she arrived, I could guide her through the steps right away, and I would constantly keep telling her what to do. Honestly, I'm really glad that I could be a part of helping Bonnie get through this show. And we've gotten to talk to each other so much more.

#mewnich #beonnnie MEWNICH : Let's talk about EmiBonnie. This year, I feel like... oh, this year, I got to be in the same songs as Bonnie A LOT! Both the vocal songs, the uke stage, and also Genie. So I feel like I've become much closer to Bonnie. I don't know if Bonnie also feels closer to me too, but I definitely feel a lot closer to her. And honestly, like, as many people already know, during the time we were practicing for the BB concert, Bonnie had so much work. Work was just piling up on her heavily, and she was in so many dance units, she was in Meri too. So... everyone was trying to help Bonnie as much as we could. MEWNICH : For example, in the uke song, I memorized her parts for her. Like, I literally guided her through the movements. Meaning, "It's okay, come with me, I'll tell you what to do. I'll guide you and point out where you need to go for the next part, Bonnie" Because I felt like I wanted to help her as much as possible. She might not have had as much time as the others, but she had to survive and make it through this with us. And luckily, in that uke song, she was standing next to me quite often, right? So I told the choreographers, "It's okay, Teacher. You can continue with the choreo and the blocking. I'll help memorize Bonnie's parts." So the moment she arrived, I could guide her through the steps right away, and I would constantly keep telling her what to do. Honestly, I'm really glad that I could be a part of helping Bonnie get through this show. And we've gotten to talk to each other so much more.

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🟥 Every Canadian needs to see yesterday’s CBC interview with independent candidate for Battle River-Crowfoot, Bonnie Critchley, who is running against the dudsmudge, Pierre Poilievre, in the by-election next month! 🎞️⬇️ Bonnie is a long-term resident of the riding, who is passionate about representing the best interests of her community. She spent 22 years in the Canadian Armed Forces while Pierre spent 21 years in parliament, coddled by hardworking taxpayers, while he did NOTHING ... except fight passionately AGAINST benefits for Canadian families, middle-class workers, Indigenous Canadians and military vets! 😑 Bonnie is up against Pierre’s multi-million dollar machine and needs your help to fight for her community! 💪🏼 She has a real chance with enough support! 🔳 BONNIE: “We just had an election, and we spent all that money and we elected a candidate of our choice - who promptly turned around and said, ‘No, I don’t want that mandate I asked you for’. And we’re spending another $2 MILLION to vote in the angry guy from Ottawa, who doesn’t know JACK about this area...” To support, or learn more, go to:

Fun Tom 🇨🇦 💂

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Bernie on the Joe Rogan Experience: "Others, Zuckerberg, you know, are talking about: if you're lonely, we got a machine for you... We got a friend for you on AI and her name is Mary and you can chat with her 20 hours a day, and she really loves you." "We are human beings and we're gonna have to cling to each other to get through this thing. All I would say at this moment. Is the answer is not to fall in love with your AI creature out there."

Bernie on the Joe Rogan Experience: "Others, Zuckerberg, you know, are talking about: if you're lonely, we got a machine for you... We got a friend for you on AI and her name is Mary and you can chat with her 20 hours a day, and she really loves you." "We are human beings and we're gonna have to cling to each other to get through this thing. All I would say at this moment. Is the answer is not to fall in love with your AI creature out there."

More Perfect Union

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Introducing Rabbithole: A new visual way to dive into topics, powered by AI-generated follow-up questions that help you learn deeply. Rabbithole is designed to expand your curiosity. As someone whose curiosity has only expanded with AI, I’ve often wanted a more visually expansive way to learn about anything on my mind - without having to switch back and forth between tabs or chats. Try it out (on desktop) -

Mohammed Ibrahim

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Second Gentleman Doug Emhoff: Kamala was the right person for me in my life and she is the right president for this moment in our nation's history. She brings joy and toughness to every task with that laugh. And she brings her deep experience to every decision, always disciplined and focused. As president, she's never gonna stop thinking about you and your family

Second Gentleman Doug Emhoff: Kamala was the right person for me in my life and she is the right president for this moment in our nation's history. She brings joy and toughness to every task with that laugh. And she brings her deep experience to every decision, always disciplined and focused. As president, she's never gonna stop thinking about you and your family

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255,069 次观看 • 1 年前

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs access tools, data, and prompts from external sources, and simplifies how you provide context to your LLM-based applications. For example, you can provide context via third-party tools that let your LLM make API calls to search the web, access data from local docs, retrieve code from a GitHub repo, and so on. MCP, developed by Anthropic, is based on a client-server architecture that defines the communication details between an MCP client, hosted inside the AI application, and an MCP server that exposes tools, resources, and prompt templates. The server can be a subprocess launched by the client that runs locally or an independent process running remotely. In this hands-on course, you'll learn the core architecture behind MCP. You’ll create an MCP-compatible chatbot, build and deploy an MCP server, and connect the chatbot to your MCP server and other open-source servers. Here’s what you’ll do: - Understand why MCP makes AI development less fragmented and standardizes connections between AI applications and external data sources - Learn the core components of the client-server architecture of MCP and the underlying communication mechanism - Build a chatbot with custom tools for searching academic papers, and transform it into an MCP-compatible application - Build a local MCP server that exposes tools, resources, and prompt templates using FastMCP, and test it using MCP Inspector - Create an MCP client inside your chatbot to dynamically connect to your server - Connect your chatbot to reference servers built by Anthropic’s MCP team, such as filesystem, which implements filesystem operations, and fetch, which extracts contents from the web as markdown - Configure Claude Desktop to connect to your server and others, and explore how it abstracts away the low-level logic of MCP clients - Deploy your MCP server remotely and test it with the Inspector or other MCP-compatible applications - Learn about the roadmap for future MCP development, such as multi-agent architecture, MCP registry API, server discovery, authorization, and authentication MCP is an exciting and important technology that lets you build rich-context AI applications that connect to a growing ecosystem of MCP servers, with minimal integration work. Please sign up here!

Andrew Ng

142,010 次观看 • 1 年前