Learning from ChatGPT

#3356 PHP and JavaScript to Retrieve and Set an API_Key #3356 Create a JavaScript function that uses AJAX to retrieve and set an api_key from from a PHP script Below is a step‐by‐step example showing how to expose an api_key via a simple PHP endpoint and then retrieve it in JavaScript using a classic AJAX (XHR) call. The JavaScript function will parse the JSON response and store the key in a variable (you can adapt it to inject into headers, a config object, or wherever you need). 1. PHP endpoint ( get_api_key.php ) <?php // get_api_key.php header ( 'Content-Type: application/json' ); // In a real‐world scenario, you’d pull this from a secure location // (e.g. environment variable, config file outside webroot, encrypted store, etc.) $api_key = 'YOUR_SECRET_API_KEY' ; echo json_encode ([ 'api_key' => $api_key ]); Content-Type: We set JSON so the client can parse it easily. JSON payload: Returns an object like { "api_key":...

#3355 Google Gemini 2.5 Pro: Adjacent Possible App #3355 Describe the innovative thinking method adjacent possible The "adjacent possible" is an innovative thinking method and a concept originally coined by theoretical biologist Stuart Kauffman, and later popularized by author Steven Johnson in his book "Where Good Ideas Come From." It describes the idea that at any given moment, the world is capable of extraordinary change, but only certain kinds of changes can happen – specifically, those that are "one step away" from what currently exists. Here's a breakdown of its key aspects: Building on What Exists: The core of adjacent possible thinking is that innovation rarely happens in massive, unpredictable leaps. Instead, it occurs incrementally, building upon existing knowledge, technologies, and ideas. Think of it like exploring a house: you can only enter the rooms directly adjacent to the one you're currently in. Once you enter a new room, new d...

#3354 Google Gemini 2.5 Pro: AnythingLLM Custom Agent #3354 Tell me about AnythingLLM AnythingLLM is an all-in-one, privacy-focused AI application designed to allow users to easily download and run Large Language Models (LLMs) locally on their desktop with no additional setup or programs. It acts as a bridge between a user's preferred LLMs and their data, offering a user-friendly interface that doesn't require development expertise. Here's a breakdown of its key aspects: Core Functionality & Features: Local-by-Default: A major highlight is its emphasis on privacy. All models, documents, and chats are stored and run locally on your machine, with no account needed for the desktop version. Support for Various LLMs: AnythingLLM is highly flexible, working with a wide range of local (e.g., Ollama, LM Studio) and cloud-based LLM providers (e.g., OpenAI, Azure OpenAI, Anthropic, Google Gemini Pro). You can even configure multiple LLMs simultaneously. Retrieval-Augmente...