Best of OpenAI — July 2025

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    Article
    Avatar of communityCommunity Picks·46w

    pickle-com/glass

    Glass is an open-source desktop AI assistant that captures screen content and audio in real-time to provide contextual answers and meeting summaries. Built as a lightweight application that runs invisibly on macOS, it integrates with OpenAI's API to understand user context and generate structured knowledge from daily interactions. The tool offers features like proactive meeting notes, real-time transcription, and the ability to query information based on previous screen actions and audio.

  2. 2
    Article
    Avatar of singlestoreSingleStore·45w

    How to Build a RAG Knowledge Base in Python for Customer Support

    A comprehensive guide to building a Retrieval-Augmented Generation (RAG) system for customer support using Python, LangChain, OpenAI, and SingleStore. The tutorial covers setting up a vector database, converting documents into embeddings, implementing semantic search, and generating contextual answers. Real-world case studies show 28.6% reduction in issue resolution time. The step-by-step implementation includes environment setup, database configuration, embedding creation, and API endpoint development for instant, accurate support responses.

  3. 3
    Article
    Avatar of wheresyouredWhere's Your Ed At·44w

    The Hater's Guide To The AI Bubble

    The AI industry represents a massive bubble built on unsustainable economics, with tech giants spending over $560 billion on AI infrastructure while generating only $35 billion in revenue. NVIDIA's dominance creates a dangerous single point of failure for the US stock market, as 42% of its revenue comes from just five companies buying GPUs. Most AI companies, including OpenAI and Anthropic, operate at massive losses, while products like Cursor achieve growth through unsustainable pricing models they later abandon. Unlike previous infrastructure investments like Amazon Web Services, generative AI lacks clear profitable use cases and represents expensive features rather than foundational infrastructure.

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    Video
    Avatar of youtubeYouTube·46w

    How to Build AI Agents with n8n in 2025! (Full Course)

    A comprehensive tutorial covering how to build AI agents and automations using n8n, a no-code workflow automation platform. The guide starts with fundamental concepts like the difference between agents and automations, explains n8n's node-based system including triggers, actions, utilities, code nodes, and AI components. It walks through creating a practical lead form automation that processes form submissions and sends labeled email notifications based on project budget. The tutorial emphasizes hands-on learning with step-by-step instructions for setting up workflows, configuring nodes, and understanding data flow between components.

  5. 5
    Article
    Avatar of wheresyouredWhere's Your Ed At·46w

    Anthropic and OpenAI Have Begun The Subprime AI Crisis

    AI companies like Anthropic and OpenAI are operating at massive losses while subsidizing their services, creating what's termed a 'subprime AI crisis.' Anthropic expects to lose $3 billion in 2025 despite $4 billion in revenue. The popular AI-powered coding tool Cursor has grown rapidly to $500 million in annual recurring revenue, but its success depends on these loss-making AI models. As AI companies eventually raise prices to achieve profitability, dependent services and startups may face unsustainable costs, potentially triggering industry-wide disruption.

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    Video
    Avatar of bytegradByteGrad·44w

    Build A Sick AI-Voice Memo App W/ Next.js + OpenAI Whisper (Background Jobs / Cron Job / Inngest)

    A comprehensive tutorial on building an AI voice memo application using Next.js, OpenAI Whisper for transcription, and Inngest for background job processing. The app records audio, transcribes it to text, extracts tasks and deadlines using GPT-4, and stores everything in a database. Key focus on solving common Next.js limitations around background processing, queuing systems, and cron jobs through Inngest's event-driven architecture with built-in observability and retry mechanisms.

  7. 7
    Article
    Avatar of codemotionCodemotion·47w

    Chain-of-Thought Prompting: the trick to help AI think better

    Chain-of-Thought prompting is a technique that improves AI reasoning by asking language models to explain their step-by-step thinking process before providing final answers. Instead of direct responses, this method encourages models to break down complex problems, show their reasoning, and provide transparent explanations. The technique offers higher accuracy on complex problems, better error detection, and more human-like thinking patterns. Key implementation strategies include using phrases like 'let's think step by step', providing guiding questions, using few-shot examples, and decomposing problems into smaller parts. Practical applications span mathematics, logic, decision-making, and data analysis, making AI responses more reliable and interpretable.

  8. 8
    Article
    Avatar of mlmMachine Learning Mastery·46w

    Your First OpenAI API Project in Python Step-By-Step

    A comprehensive beginner's guide to building a Python application that integrates with OpenAI's GPT-4 API using FastAPI. Covers obtaining API keys, setting up virtual environments, creating a REST API endpoint, and testing the integration through a web interface. Includes code examples and step-by-step instructions for creating a functional chatbot API.

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    Article
    Avatar of tcTechCrunch·43w

    Sam Altman warns there’s no legal confidentiality when using ChatGPT as a therapist

    OpenAI CEO Sam Altman warns that conversations with ChatGPT lack legal confidentiality protections, unlike those with therapists or doctors. Users frequently share personal information with the AI for emotional support, but these conversations could be legally discoverable in lawsuits. Altman advocates for establishing privacy frameworks similar to doctor-patient confidentiality for AI interactions, as the current lack of legal protections poses privacy risks and could hinder broader adoption.

  10. 10
    Article
    Avatar of tdsTowards Data Science·44w

    MCP Client Development with Streamlit: Build Your AI-Powered Web App

    A comprehensive guide to building an MCP (Model Context Protocol) client using Streamlit that connects to remote MCP servers like DeepWiki and HuggingFace. Covers setting up the development environment, securing API keys, creating user interfaces with Streamlit components, connecting to MCP servers, and generating AI-powered responses. Includes practical code examples and deployment considerations for creating interactive web applications that leverage external AI tools and resources.

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    Video
    Avatar of developedbyeddevelopedbyed·44w

    Build Your Own AI Music Assistant | Auth0 Gen AI Tutorial

    A comprehensive tutorial demonstrating how to build an AI-powered music assistant using Next.js, OpenAI, and Auth0's Gen AI platform. The project integrates with Spotify API to create personalized playlists, retrieve user music data, and provide song recommendations through a conversational interface. The tutorial covers OAuth authentication, token management, tool calling with AI models, and building a chat interface that can execute actions on behalf of authenticated users.

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