• Base44 AI allows users to build applications without coding, consultants, or extensive development time. It offers custom solutions to replace expensive SaaS. Within six months of becoming a standalone company, Base44 grew to 250,000 users and nearly $200,000 in monthly profits. Base44 supports email and password login in addition to Google login.

    #Base44AI #nocode #lowcode #appdevelopment #AI #SaaS #automation #businessautomation #digitaltransformation #citizenDeveloper #webdevelopment #softwaredevelopment #Bubble #Adalo #Glide #Googlelogin

    https://base44.com/
    Base44 AI allows users to build applications without coding, consultants, or extensive development time. It offers custom solutions to replace expensive SaaS. Within six months of becoming a standalone company, Base44 grew to 250,000 users and nearly $200,000 in monthly profits. Base44 supports email and password login in addition to Google login. #Base44AI #nocode #lowcode #appdevelopment #AI #SaaS #automation #businessautomation #digitaltransformation #citizenDeveloper #webdevelopment #softwaredevelopment #Bubble #Adalo #Glide #Googlelogin https://base44.com/
    BASE44 - AI-Powered Software Development
    base44.com
    Build custom software in minutes using natural language. No coding required.
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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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  • In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding.

    #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant

    https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ
    In this theater session, Software Engineer Eleanor Boyd walks through building a custom MCP (Model Context Protocol) server in Visual Studio Code using GitHub Copilot and Python. She walks through a real use case, fetching PyPI package data, and shows how to connect your tool to Copilot’s Agent Mode for powerful AI-assisted coding. #MCP #ModelContextProtocol #VisualStudioCode #GitHubCopilot #Python #PyPI #AIAssistedCoding #AgentMode #SoftwareEngineering #CodeDevelopment #AItools #Codegen #CodeCompletion #Tabnine #AmazonCodeWhisperer #JetBrainsAIAssistant https://youtu.be/SYcQXozpb_E?si=8QgX0-7lr3WsA0ZJ
    0 Comments ·0 Shares ·184 Views
  • Automate your video content creation with the Veo3 and Blotato workflow template! Designed for content creators and digital marketers, this powerful solution streamlines the process from idea generation to posting on platforms like Instagram and TikTok. It triggers daily to create unique videos using AI, automating scripting, rendering, and distribution. Effortlessly enhance your content reach and save time without traditional editing hassles. Start focusing on creativity while the workflow handles your video tasks!

    #veo3 #blotato #videoautomation #contentcreation #digitalmarketing #ai #workflowautomation #instagram #tiktok #aivideo #aivideomarketing #synthesia #pictory #elaiio #descript #heygen #opusclip #ContentCreation #VideoMarketing #Automation #SocialMediaManagement #AI

    https://n8n.io/workflows/5035-generate-and-auto-post-ai-videos-to-social-media-with-veo3-and-blotato/
    🚀 Automate your video content creation with the Veo3 and Blotato workflow template! Designed for content creators and digital marketers, this powerful solution streamlines the process from idea generation to posting on platforms like Instagram and TikTok. It triggers daily to create unique videos using AI, automating scripting, rendering, and distribution. Effortlessly enhance your content reach and save time without traditional editing hassles. Start focusing on creativity while the workflow handles your video tasks! 🎥✨ #veo3 #blotato #videoautomation #contentcreation #digitalmarketing #ai #workflowautomation #instagram #tiktok #aivideo #aivideomarketing #synthesia #pictory #elaiio #descript #heygen #opusclip #ContentCreation #VideoMarketing #Automation #SocialMediaManagement #AI https://n8n.io/workflows/5035-generate-and-auto-post-ai-videos-to-social-media-with-veo3-and-blotato/
    Generate & Auto-post AI Videos to Social Media with Veo3 and Blotato | n8n workflow template
    n8n.io
    Workflow ScreenshotAutomate video creation with Veo3 and auto-post to Instagram, TikTok via BlotatoWho is this for?This template is ideal for content creators,
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  • A new open-source AI-powered code editor, Void IDE, was recently released in beta, positioning itself as a privacy-focused and free alternative to popular closed-source AI editors like Cursor and GitHub Copilot. Backed by Y Combinator, Void IDE is a fork of Visual Studio Code. While Microsoft recently announced plans to open-source its GitHub Copilot Chat Extension, possibly in a few months, the beta release is available now for the community to fiddle with.

    #voidide #vscode #githubcopilot #cursor #ai #ide #aitools #ycombinator #opensource #codeeditor #coding #programming #privacyfocused #beta #githubcopilotchat #developer #aitool

    https://www.infoq.com/news/2025/06/void-ide-beta-release/
    A new open-source AI-powered code editor, Void IDE, was recently released in beta, positioning itself as a privacy-focused and free alternative to popular closed-source AI editors like Cursor and GitHub Copilot. Backed by Y Combinator, Void IDE is a fork of Visual Studio Code. While Microsoft recently announced plans to open-source its GitHub Copilot Chat Extension, possibly in a few months, the beta release is available now for the community to fiddle with. #voidide #vscode #githubcopilot #cursor #ai #ide #aitools #ycombinator #opensource #codeeditor #coding #programming #privacyfocused #beta #githubcopilotchat #developer #aitool https://www.infoq.com/news/2025/06/void-ide-beta-release/
    The Void IDE, Open-Source Alternative to Cursor, Released in Beta
    www.infoq.com
    The Void IDE was recently released in beta, positioning itself as a privacy-focused and free alternative to popular closed-source AI editors like Cursor and GitHub Copilot. Void IDE is a fork of Visual Studio Code. While Microsoft recently announced plans to open Source its GitHub Copilot Chat Extension possibly in a few months, the beta release is available now for the community to fiddle with.
    0 Comments ·0 Shares ·81 Views
  • Void is an open-source Cursor alternative that allows users to use AI agents on their codebase, checkpoint and visualize changes, and bring any model or host locally. It sends messages directly to providers without retaining user data.

    Main Function Points
    Use AI agents on your codebase
    Checkpoint and visualize changes
    Bring any model or host locally
    Send messages directly to providers without retaining user data

    #void #cursor #aicoding #codeagent #ai #opensource #localai #datasecurity #codereview #git #checkpoint #visualization #llm #codemodels

    https://voideditor.com/
    https://github.com/voideditor/void
    Void is an open-source Cursor alternative that allows users to use AI agents on their codebase, checkpoint and visualize changes, and bring any model or host locally. It sends messages directly to providers without retaining user data. Main Function Points Use AI agents on your codebase Checkpoint and visualize changes Bring any model or host locally Send messages directly to providers without retaining user data #void #cursor #aicoding #codeagent #ai #opensource #localai #datasecurity #codereview #git #checkpoint #visualization #llm #codemodels https://voideditor.com/ https://github.com/voideditor/void
    Void
    voideditor.com
    Void is an open source Cursor alternative. Full privacy. Fully-featured.
    0 Comments ·0 Shares ·57 Views
  • NXTscape is an open-source agentic browser that runs AI agents locally, providing a privacy-first alternative to popular browsers like Arc, Dia, and Perplexity Comet. It aims to empower users by automating tasks and boosting productivity through the use of AI agents, while ensuring that user data remains on the user's own computer.

    #NXTscape #OpenSource #AIAgents #PrivacyFirst #LocalAI #AgenticBrowser #ArcBrowser #DiaBrowser #PerplexityComet #Automation #Productivity #AIAutomation #BrowserAI #LocalData #AIWorkflow

    https://www.nxtscape.ai/
    https://github.com/nxtscape/nxtscape
    NXTscape is an open-source agentic browser that runs AI agents locally, providing a privacy-first alternative to popular browsers like Arc, Dia, and Perplexity Comet. It aims to empower users by automating tasks and boosting productivity through the use of AI agents, while ensuring that user data remains on the user's own computer. #NXTscape #OpenSource #AIAgents #PrivacyFirst #LocalAI #AgenticBrowser #ArcBrowser #DiaBrowser #PerplexityComet #Automation #Productivity #AIAutomation #BrowserAI #LocalData #AIWorkflow https://www.nxtscape.ai/ https://github.com/nxtscape/nxtscape
    Nxtscape
    www.nxtscape.ai
    Nxtscape is a browser that is built for productivity and privacy.
    0 Comments ·0 Shares ·104 Views
  • Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI.

    Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today.

    Resources:
    Get Started → https://google.github.io/adk-docs
    Sample Agents → https://goo.gle/3Rbdo4s

    Subscribe to Google for Developers → https://goo.gle/developers

    #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
    Building complex, production-ready AI agents, especially multi-modal or multi-agent systems, can be challenging. Introducing the Agent Development Kit (ADK), a new open-source project from Google designed to simplify this process based on Google's internal experience. ADK provides a powerful, open foundation (model-agnostic, deployment-agnostic, interoperable) that makes agent development feel like software development, complete with native multi-modal streaming and easy local debugging via a built-in UI. Watch Product Manager Anand Iyer, Tech Lead Bo Yang, and Developer Advocate, Ivan Nardini introduce ADK and demo building a multi-agent, multi-modal travel planner quickly using the SDK. Learn about the core design principles and see how you can get started building your own sophisticated AI agents today. Resources: Get Started → https://google.github.io/adk-docs Sample Agents → https://goo.gle/3Rbdo4s Subscribe to Google for Developers → https://goo.gle/developers #ADK #AgentDevelopmentKit #GoogleAI #OpenSource #AIAgents #MultiModal #MultiAgentSystems #AIDevelopment #AIWorkflow #GenAI #LangChain #AutoGen #AIInfrastructure #SoftwareDevelopment #DebuggingUI #TravelPlanner #Python #AICommunity #ModelAgnostic #DeploymentAgnostic
    0 Comments ·0 Shares ·326 Views ·1 Plays
  • Your code’s new collaborator
    Unleash Claude’s raw power directly in your terminal. Search million-line codebases instantly. Turn hours-long workflows into a single command. Your tools. Your workflow. Your codebase, evolving at thought speed.

    npm install -g @anthropic-ai/claude-code

    #ClaudeCode #Anthropic #AI #TerminalTools #CodeSearch #CodebaseAnalysis #CommandLine #DeveloperTools #AICodingAssistant #LargeLanguageModels #CodeCompletion #CodeGeneration #SoftwareDevelopment #GitHubCopilot #Tabnine #AIWorkflow #CodingProductivity\

    https://www.anthropic.com/claude-code
    Your code’s new collaborator Unleash Claude’s raw power directly in your terminal. Search million-line codebases instantly. Turn hours-long workflows into a single command. Your tools. Your workflow. Your codebase, evolving at thought speed. npm install -g @anthropic-ai/claude-code #ClaudeCode #Anthropic #AI #TerminalTools #CodeSearch #CodebaseAnalysis #CommandLine #DeveloperTools #AICodingAssistant #LargeLanguageModels #CodeCompletion #CodeGeneration #SoftwareDevelopment #GitHubCopilot #Tabnine #AIWorkflow #CodingProductivity\ https://www.anthropic.com/claude-code
    Claude Code: Deep Coding at Terminal Velocity \ Anthropic
    www.anthropic.com
    Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.
    0 Comments ·0 Shares ·559 Views
  • Boris from Anthropic introduces QuadCode, an AI coding assistant designed for building features and fixing bugs without changing existing workflows. It supports various IDEs and offers practical tips for setup and usage, emphasizing codebase Q&A for effective onboarding. Users can customize tools and context for enhanced productivity.

    #QuadCode #Anthropic #AICodingAssistant #CodeDebugging #FeatureDevelopment #IDEIntegration #CodebaseQA #AICodeCompletion #GitHubCopilot #CursorAI #CodeCustomization #ProductivityTools

    https://www.youtube.com/watch?v=6eBSHbLKuN0&ab_channel=Anthropic
    Boris from Anthropic introduces QuadCode, an AI coding assistant designed for building features and fixing bugs without changing existing workflows. It supports various IDEs and offers practical tips for setup and usage, emphasizing codebase Q&A for effective onboarding. Users can customize tools and context for enhanced productivity. #QuadCode #Anthropic #AICodingAssistant #CodeDebugging #FeatureDevelopment #IDEIntegration #CodebaseQA #AICodeCompletion #GitHubCopilot #CursorAI #CodeCustomization #ProductivityTools https://www.youtube.com/watch?v=6eBSHbLKuN0&ab_channel=Anthropic
    0 Comments ·0 Shares ·469 Views
  • Claude Code is an AI-powered coding assistant integrated into your terminal. It leverages Claude Opus 4, the same model used by Anthropic's researchers, to understand your codebase and automate routine coding tasks. This allows for faster code execution and explanations. The tool aims to enhance developer productivity by providing an agentic coding experience directly within the terminal environment. It is designed to be safe, accurate, and secure, focusing on aiding developers in their coding workflows.

    #claudecode #claudeopus #ai #codingassistant #terminal #anthropic #agenticcoding #aicoding #developerproductivity #codingtools #codex #githubcopilot #safecoding #accuratecoding #securecoding

    https://youtu.be/U_QHbKvSxxM?si=yzeHz4tzURNC89Zb
    https://www.datacamp.com/tutorial/claude-code
    Claude Code is an AI-powered coding assistant integrated into your terminal. It leverages Claude Opus 4, the same model used by Anthropic's researchers, to understand your codebase and automate routine coding tasks. This allows for faster code execution and explanations. The tool aims to enhance developer productivity by providing an agentic coding experience directly within the terminal environment. It is designed to be safe, accurate, and secure, focusing on aiding developers in their coding workflows. #claudecode #claudeopus #ai #codingassistant #terminal #anthropic #agenticcoding #aicoding #developerproductivity #codingtools #codex #githubcopilot #safecoding #accuratecoding #securecoding https://youtu.be/U_QHbKvSxxM?si=yzeHz4tzURNC89Zb https://www.datacamp.com/tutorial/claude-code
    0 Comments ·0 Shares ·508 Views
  • MarkItDown is a Python tool designed to convert various file types, including PDFs, Word documents, and audio files, into Markdown format, facilitating text analysis and integration with large language models (LLMs). The tool emphasizes the preservation of document structure during conversion and introduces a protocol for interactive LLM functionalities. Its recent updates have clarified dependencies and broadened support for different file formats, catering to developers and users alike.

    Key Points
    - MarkItDown is a Python utility specifically for converting multiple document types into Markdown format optimized for text analysis and LLM applications.
    - The tool supports a wide array of file formats including PDF, PowerPoint, Word, Excel, images, audio, HTML, and even YouTube URLs.
    - Recent updates addressed breaking changes in functionality, requiring a binary file-like object in conversion methods and revising the DocumentConverter interface.
    - Users can install MarkItDown through pip with optional dependencies tailored to specific file formats for more customized installations.
    - Plugins are supported, which allows third-party contributions to extend MarkItDown's capabilities, although they are disabled by default.
    - The integration of Microsoft Document Intelligence is available for enhanced conversion features, specifically for PDF files.
    - MarkItDown requires Python 3.10 or higher, and it is recommended to use a virtual environment for installation to prevent dependency issues.

    #MarkItDown #python #markdown #llms #textanalysis #pdfconversion #documentconversion #microsoftdocumentintelligence #pypdf #unstructured #doctr #virtualenv #pip #opensource

    https://github.com/microsoft/markitdown
    MarkItDown is a Python tool designed to convert various file types, including PDFs, Word documents, and audio files, into Markdown format, facilitating text analysis and integration with large language models (LLMs). The tool emphasizes the preservation of document structure during conversion and introduces a protocol for interactive LLM functionalities. Its recent updates have clarified dependencies and broadened support for different file formats, catering to developers and users alike. Key Points - MarkItDown is a Python utility specifically for converting multiple document types into Markdown format optimized for text analysis and LLM applications. - The tool supports a wide array of file formats including PDF, PowerPoint, Word, Excel, images, audio, HTML, and even YouTube URLs. - Recent updates addressed breaking changes in functionality, requiring a binary file-like object in conversion methods and revising the DocumentConverter interface. - Users can install MarkItDown through pip with optional dependencies tailored to specific file formats for more customized installations. - Plugins are supported, which allows third-party contributions to extend MarkItDown's capabilities, although they are disabled by default. - The integration of Microsoft Document Intelligence is available for enhanced conversion features, specifically for PDF files. - MarkItDown requires Python 3.10 or higher, and it is recommended to use a virtual environment for installation to prevent dependency issues. #MarkItDown #python #markdown #llms #textanalysis #pdfconversion #documentconversion #microsoftdocumentintelligence #pypdf #unstructured #doctr #virtualenv #pip #opensource https://github.com/microsoft/markitdown
    GitHub - microsoft/markitdown: Python tool for converting files and office documents to Markdown.
    github.com
    Python tool for converting files and office documents to Markdown. - microsoft/markitdown
    0 Comments ·0 Shares ·442 Views
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