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  • 🤖 Clubhouse Unveils Text-to-Voice Feature

🤖 Clubhouse Unveils Text-to-Voice Feature

PLUS: Google Gemini

Welcome, AI Enthusiasts.

 Clubhouse has introduced a new feature allowing users to send text messages that are converted into custom voice messages for recipients to hear.

 Google's new Gemini platform encompasses a suite of generative AI models, apps, and services, developed by Google's AI research labs DeepMind and Google Research.

In today’s issue:

  • 🤖 Clubhouse Unveils Text-to-Voice Feature for Custom Messages

  • 🦾 Google Gemini: A Comprehensive Guide to the New Generative AI Platform

  • 🛠️ 3 New AI tools

  • 💻 Custom prompts ChatGPT and DALL-E 3

  • 🤖 3 Quick AI updates

Read time: 5 minutes.

LATEST HIGHLIGHTS

Clubhouse Social Network Follow me on Clubhouse: @dmitrymashkin

Image source: Unsplash

To recap: Clubhouse has introduced a new feature allowing users to send text messages that are converted into custom voice messages for recipients to hear. This move comes as the platform seeks to maintain relevance amidst declining user engagement. The company emphasizes the seamless integration of custom voices with text messages, aiming to simulate the feeling of a real-time conversation. Using AI technology, Clubhouse claims to accurately recreate users' voices based on training with just a few phrases, though it may not capture laughter effectively. Additionally, the app offers the option to generate a voice automatically if users are uncomfortable recording their own. Currently available only in the U.S., this feature represents Clubhouse's effort to leverage AI-powered innovations to enhance user experience and retain its user base in the face of competition and declining usage trends.

The details:

  • 1. Clubhouse's new feature allows users to send text messages that are converted into custom voice messages for recipients to hear, adding a unique twist to traditional text-based communication.

    2. The AI technology used by Clubhouse claims to accurately recreate users' voices based on minimal training with just a few phrases, ensuring a personalized and seamless experience for recipients listening to the messages.

    3. This feature represents Clubhouse's effort to innovate and maintain relevance in the face of declining user engagement, demonstrating the platform's commitment to leveraging AI-powered solutions to enhance user experience and potentially attract new users.

Here is the key takeaway: Clubhouse's new feature, which converts text messages into custom voice messages, represents the platform's innovative approach to maintaining user engagement and relevance in a competitive market. By leveraging AI technology to recreate users' voices and offer a unique communication experience, Clubhouse aims to enhance user interactions and potentially attract new users to the platform. This feature reflects the company's ongoing efforts to adapt and evolve its offerings to meet the changing needs and preferences of its user base.

Image source: Unspalsh

In Summary: Google's new Gemini platform encompasses a suite of generative AI models, apps, and services, developed by Google's AI research labs DeepMind and Google Research. Offering three tiers - Ultra, Pro, and Nano - Gemini is designed to be natively multimodal, capable of processing audio, images, and text. While Google promises a range of capabilities including solving physics problems and providing coding suggestions, early reviews highlight mixed results, with concerns raised about accuracy and performance. Pricing for Gemini Pro will be based on character output, with free access available in certain regions and platforms, including the Gemini apps and AI Studio. Gemini Nano, a more lightweight version, is currently integrated into the Pixel 8 Pro and will expand to other devices in the future.

Key points:

  • 1. Gemini Models: Google's Gemini platform comprises three main models: Gemini Ultra, Gemini Pro, and Gemini Nano. These models are designed to be "natively multimodal," meaning they can process audio, images, and text.

    2. Capabilities: Gemini Ultra, the flagship model, aims to assist with tasks like physics homework and scientific paper analysis. Gemini Pro, an improvement over Google's LaMDA, focuses on reasoning, planning, and understanding. Gemini Nano, a smaller version, is optimized for mobile devices and powers features like summarization and smart replies on the Pixel 8 Pro.

    3. Access and Pricing: Gemini Pro is currently available for free in preview mode on platforms like the Gemini apps, AI Studio, and Vertex AI. However, once it exits preview, users will be charged based on character output, with additional fees for specific features like image processing.

    4. Early Reception: Initial reviews of Gemini have been mixed, with concerns raised about accuracy and performance. While Google claims superiority over benchmarks and existing models, users and academics have reported issues with basic facts, translations, and coding suggestions.

Our thoughts: Google's Gemini platform are mixed. On one hand, it's impressive to see Google's advancements in generative AI and the potential capabilities of the Gemini models, especially with their multimodal processing abilities. However, there are concerns about the accuracy and performance of the models, as highlighted by early reviews. Additionally, the pricing structure for Gemini Pro raises questions about accessibility and affordability for users once it exits preview. Overall, while Gemini shows promise, there are areas that Google needs to address to ensure its success and widespread adoption in the AI community.

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AI DOJO

Custom ChatGPT and DALL-E 3
 ChatGPT

Advisor:

  • Prompt: Give tips for preparing and delivering a successful presentation.

DALL-E 3

Illustration:

  • Prompt: Illustrate creative ways to stay active indoors during winter

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🔤 Inside CapitalG: Alphabet's $7 Billion Growth-Stage Investment Arm

CapitalG, Alphabet's growth-stage venture arm, saw Laela Sturdy take over as head while founder David Lawee stepped down almost a year ago. Sturdy's promotion was unsurprising given her tenure and reputation within Google. With a team comprising 60% from diverse or underrepresented backgrounds, Sturdy emphasizes collaboration and leveraging Google's vast resources to benefit portfolio companies. The firm operates independently from Alphabet, facilitating partnerships and access to Google's expertise and networks. Investments typically range between $50 million and $200 million per company, with a focus on market differentiation and long-term returns. Sturdy remains bullish on AI, identifying technical differentiation as key in this space. Across portfolio companies, AI is increasingly leveraged to enhance customer experiences and streamline operations, reflecting broader industry trends towards automation and efficiency.

In response to declining quality in traditional search engines like Google, the rise of generative AI chatbots offers new search avenues. These AI-powered tools, such as Google's Gemini and Microsoft's Copilot, present readable summaries of information in response to conversational queries. While free versions are available, premium options offer enhanced features. Users should be cautious of potential inaccuracies and compare results across different platforms. Additionally, the conversational nature of AI queries requires adjusting search strategies for optimal outcomes.

OpenAI's new video-generating model, Sora, showcases impressive cinematographic abilities, as revealed in a recent technical paper. Capable of generating videos up to 1080p resolution, Sora can perform various image and video editing tasks and even simulate digital worlds, demonstrated by rendering a Minecraft-like game environment. However, Sora's limitations include inaccuracies in simulating physics and occasional inconsistencies. Despite this, it offers promising potential for highly capable simulators but remains limited to a select access program for now.

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