• Project Astra demonstrates a universal AI assistant's capabilities in helping with bike repairs. It assists in finding user manuals, YouTube tutorials, email details, and making phone calls to bike shops. The assistant also provides information on brake pads and suggests dog baskets for the bike, showcasing its multifunctional support.

    #ProjectAstra #GeminiAI #AIassistant #MultimodalAI #GoogleAI #BikeRepair #AIsupport #GenerativeAI #VisionAI #ContextAwareAI #RealTimeAI #DogBasket #MaintenanceAI #LLM #Chatbot

    https://youtu.be/JcDBFAm9PPI?si=8NjCKhOF81GDG4k1
    Project Astra demonstrates a universal AI assistant's capabilities in helping with bike repairs. It assists in finding user manuals, YouTube tutorials, email details, and making phone calls to bike shops. The assistant also provides information on brake pads and suggests dog baskets for the bike, showcasing its multifunctional support. #ProjectAstra #GeminiAI #AIassistant #MultimodalAI #GoogleAI #BikeRepair #AIsupport #GenerativeAI #VisionAI #ContextAwareAI #RealTimeAI #DogBasket #MaintenanceAI #LLM #Chatbot https://youtu.be/JcDBFAm9PPI?si=8NjCKhOF81GDG4k1
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  • The Ongoing Copyright Debate: The New York Times vs. OpenAI and Microsoft

    Recently, the New York Times (NYT) filed a lawsuit against OpenAI and Microsoft, alleging that they used millions of copyrighted NYT articles to train their AI models without permission. The lawsuit claims that OpenAI’s models sometimes generate content that closely resembles NYT articles, raising important questions about copyright infringement and the implications for generative AI technologies. While the NYT aims to protect journalistic integrity, critics argue the lawsuit lacks clarity in establishing how exactly the models regurgitate content, leaving many confused about the relationship between AI training and output.

    Experts suggest that the AI's responses may not solely derive from their training data but could also involve mechanisms like retrieval-augmented generation (RAG), which allows models to pull real-time data from the internet. If this is the case, limiting the regurgitation of copyrighted material might be technically feasible without completely hindering AI capabilities. As AI models evolve and adjustments are made to minimize such occurrences, the industry collectively continues to search for balanced solutions to address copyright concerns while enabling innovation in AI technologies.

    Hashtags
    #NewYorkTimes #OpenAI #Microsoft #CopyrightLawsuit #GenerativeAI #AIEthics #MachineLearning #DataPrivacy #TechNews #AIRegulation #DigitalMedia

    https://www.deeplearning.ai/the-batch/the-new-york-times-versus-openai-and-microsoft/
    The Ongoing Copyright Debate: The New York Times vs. OpenAI and Microsoft Recently, the New York Times (NYT) filed a lawsuit against OpenAI and Microsoft, alleging that they used millions of copyrighted NYT articles to train their AI models without permission. The lawsuit claims that OpenAI’s models sometimes generate content that closely resembles NYT articles, raising important questions about copyright infringement and the implications for generative AI technologies. While the NYT aims to protect journalistic integrity, critics argue the lawsuit lacks clarity in establishing how exactly the models regurgitate content, leaving many confused about the relationship between AI training and output. Experts suggest that the AI's responses may not solely derive from their training data but could also involve mechanisms like retrieval-augmented generation (RAG), which allows models to pull real-time data from the internet. If this is the case, limiting the regurgitation of copyrighted material might be technically feasible without completely hindering AI capabilities. As AI models evolve and adjustments are made to minimize such occurrences, the industry collectively continues to search for balanced solutions to address copyright concerns while enabling innovation in AI technologies. Hashtags #NewYorkTimes #OpenAI #Microsoft #CopyrightLawsuit #GenerativeAI #AIEthics #MachineLearning #DataPrivacy #TechNews #AIRegulation #DigitalMedia https://www.deeplearning.ai/the-batch/the-new-york-times-versus-openai-and-microsoft/
    The New York Times versus OpenAI and Microsoft
    www.deeplearning.ai
    Last week, the New York Times (NYT) filed a lawsuit against OpenAI and Microsoft, alleging massive copyright infringements. The suit claims, among...
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  • DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents.

    #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent

    https://deepagent.abacus.ai/
    DeepAgent is a versatile AI assistant developed by Abacus, capable of handling complex tasks. It can build applications, generate reports and presentations, and integrates with various systems. DeepAgent provides access to top LLMs and generators for video and images, encompassing general purpose and coding agents. #DeepAgent #AbacusAI #AIAssistant #LLMs #GenerativeAI #ApplicationDevelopment #ReportGeneration #PresentationCreation #CodingAgent #VideoGeneration #ImageGeneration #AICoding #AutoGPT #Copilot #LangChain #AIAgent https://deepagent.abacus.ai/
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  • Anthropic secured a ruling affirming fair use in AI training, but faces trial for using pirated books. Amazon's Project Reneer aims to enhance AI capabilities, while Google donates A2A protocol to the Linux Foundation. Additionally, AI's impact on marketing and hiring practices is reshaping industries, raising concerns about authenticity and overregulation.

    #anthropic #projectreneer #fairuse #ai #aitraining #linuxfoundation #a2aprotocol #googleai #amazonai #aimarketing #aiethics #aihiring #generativeai #machinelearning #artificialintelligence

    https://youtu.be/jpvM94HRi44
    Anthropic secured a ruling affirming fair use in AI training, but faces trial for using pirated books. Amazon's Project Reneer aims to enhance AI capabilities, while Google donates A2A protocol to the Linux Foundation. Additionally, AI's impact on marketing and hiring practices is reshaping industries, raising concerns about authenticity and overregulation. #anthropic #projectreneer #fairuse #ai #aitraining #linuxfoundation #a2aprotocol #googleai #amazonai #aimarketing #aiethics #aihiring #generativeai #machinelearning #artificialintelligence https://youtu.be/jpvM94HRi44
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  • VibeTest.io is a platform that helps users learn and practice prompt engineering through coding challenges. It focuses on improving communication skills with AI systems like Claude and GPT-4 to transform code. The platform allows users to measure their prompt engineering skills by solving problems, with the aim of providing users with a valuable skillset. It appears to be a hands-on tool for those looking to enhance their abilities in this area.
    #VibeTestio #promptengineering #Claude #GPT4 #AIcommunication #AICodingChallenges #promptdesign #AISkills #LangChain #promptflow #AIliteracy #generativeAI #promptoptimization

    https://vibetest.io/
    VibeTest.io is a platform that helps users learn and practice prompt engineering through coding challenges. It focuses on improving communication skills with AI systems like Claude and GPT-4 to transform code. The platform allows users to measure their prompt engineering skills by solving problems, with the aim of providing users with a valuable skillset. It appears to be a hands-on tool for those looking to enhance their abilities in this area. #VibeTestio #promptengineering #Claude #GPT4 #AIcommunication #AICodingChallenges #promptdesign #AISkills #LangChain #promptflow #AIliteracy #generativeAI #promptoptimization https://vibetest.io/
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  • This is the New Google Ai Search. labs.google.com

    Discover Google AI Search on labs.google.com, an experimental platform offering AI-powered overviews and conversational search. It leverages generative AI to provide comprehensive responses, allowing for follow-up questions and direct links to web sources. This feature aims to streamline research by synthesizing information from multiple sources.
    #Gemini #AI #GenerativeAI #TechInnovation #GoogleAI #aichatbot

    https://vm.tiktok.com/ZMSmjWevK/
    This is the New Google Ai Search. labs.google.com Discover Google AI Search on labs.google.com, an experimental platform offering AI-powered overviews and conversational search. It leverages generative AI to provide comprehensive responses, allowing for follow-up questions and direct links to web sources. This feature aims to streamline research by synthesizing information from multiple sources. #Gemini #AI #GenerativeAI #TechInnovation #GoogleAI #aichatbot https://vm.tiktok.com/ZMSmjWevK/
    @wyzer.ai

    This is the New Google Ai Search. labs.google.com Discover Google AI Search on labs.google.com, an experimental platform offering AI-powered overviews and conversational search. It leverages generative AI to provide comprehensive responses, allowing for follow-up questions and direct links to web sources. This feature aims to streamline research by synthesizing information from multiple sources. #Gemini #AI #GenerativeAI #TechInnovation #GoogleAI #aichatbot

    ♬ original sound - Wyzer Studios
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  • Google Cloud AI is utilized in various real-world scenarios. For instance, OSTTRA employs Google Workspace and Gemini to enhance teamwork and automate tasks such as proposal writing. Other companies, like Papa John's, Wendy's, and Uber, leverage AI for predictive ordering systems, thereby improving customer engagement. Generative AI on Google Cloud is also used for generating text, images, and code, as well as boosting employee productivity and improving customer analytics.

    https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

    #GoogleCloudAI #AIforBusiness #GenerativeAI #AIinAutomation #CustomerEngagement #PredictiveAnalytics #AIforProductivity #AIinRetail #AIinWorkplace #MachineLearning
    Google Cloud AI is utilized in various real-world scenarios. For instance, OSTTRA employs Google Workspace and Gemini to enhance teamwork and automate tasks such as proposal writing. Other companies, like Papa John's, Wendy's, and Uber, leverage AI for predictive ordering systems, thereby improving customer engagement. Generative AI on Google Cloud is also used for generating text, images, and code, as well as boosting employee productivity and improving customer analytics. https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders #GoogleCloudAI #AIforBusiness #GenerativeAI #AIinAutomation #CustomerEngagement #PredictiveAnalytics #AIforProductivity #AIinRetail #AIinWorkplace #MachineLearning
    Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
    cloud.google.com
    Gen AI is everywhere, as top companies, governments, researchers, and startups showcase how they're already using Google's AI solutions to enhance their work.
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  • Generative Engine Optimization (GEO), introduced by P. Aggarwal, is a new approach to help content creators improve the visibility of their content within generative engines. It's designed as a flexible, black-box optimization framework, especially useful for proprietary and closed-source generative engines. This suggests GEO can be applied to various content types and platforms using these engines. The framework's flexibility allows it to adapt to different engine behaviors and optimization goals.

    https://generative-engines.com/GEO/

    #GenerativeEngineOptimization #GEO #ContentOptimization #AIOptimization #ContentVisibility #BlackBoxOptimization #AIFrameworks #ContentCreatorTools #GenerativeAI #ContentStrategy

    Generative Engine Optimization (GEO), introduced by P. Aggarwal, is a new approach to help content creators improve the visibility of their content within generative engines. It's designed as a flexible, black-box optimization framework, especially useful for proprietary and closed-source generative engines. This suggests GEO can be applied to various content types and platforms using these engines. The framework's flexibility allows it to adapt to different engine behaviors and optimization goals. https://generative-engines.com/GEO/ #GenerativeEngineOptimization #GEO #ContentOptimization #AIOptimization #ContentVisibility #BlackBoxOptimization #AIFrameworks #ContentCreatorTools #GenerativeAI #ContentStrategy
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  • A16Z has ranked top generative AI consumer apps based on unique monthly visits. The rankings are updated bi-annually, with the most recent installment being the fourth one. Some of the top-ranking apps include Luma, Viggle, SeaArt, and Udio. The rankings highlight how consumers are utilizing generative AI web products.

    https://a16z.com/100-gen-ai-apps-4/

    #A16Z #GenerativeAI #AIApps #ConsumerAI #AIappRanking #Luma #Viggle #SeaArt #Udio #AIWebProducts

    A16Z has ranked top generative AI consumer apps based on unique monthly visits. The rankings are updated bi-annually, with the most recent installment being the fourth one. Some of the top-ranking apps include Luma, Viggle, SeaArt, and Udio. The rankings highlight how consumers are utilizing generative AI web products. https://a16z.com/100-gen-ai-apps-4/ #A16Z #GenerativeAI #AIApps #ConsumerAI #AIappRanking #Luma #Viggle #SeaArt #Udio #AIWebProducts
    The Top 100 Gen AI Consumer Apps - 4th Edition | Andreessen Horowitz
    a16z.com
    Which AI apps are people actively using? What’s actually making money, beyond being popular? We analyzed the data.
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