Learning from ChatGPT

#3312 Roblox Voxel Builder #3312 Provide a Roblox script to enable a player to build voxel-based structures Below is a clean, ASCII-only implementation of a grid-snapped voxel builder that lets players click to place blocks in real time. It uses one RemoteEvent, one server Script, and one client LocalScript. 1. One-time setup in Studio Location Object Notes ReplicatedStorage Folder - “VoxelAssets” Holds shared templates  └─ VoxelAssets Part - “Voxel” Size 4 × 4 × 4 , Anchored = false, CanCollide = true, BrickColor as you like ReplicatedStorage RemoteEvent - “PlaceVoxelEvent” Used to ask the server to place a block ServerScriptService Script - “PlaceVoxelHandler” Paste the server code below StarterPlayer ▸ StarterPlayerScripts LocalScript - “VoxelBuilderClient” Paste the client code below Grid size is 4 studs everywhere. Change SIZE in both scripts if you want a different voxel size. 2. Server-side script ServerScriptService/PlaceVoxelHandler -- PlaceVoxelHandler (serve...

#3311 Modeling Human Learning #3311 Describe how I can model and improve human learning (across all age groups) in Wolfram System Modeler Below is a practical, end-to-end outline you can follow in Wolfram System Modeler (WSM) to (a) build a reusable simulation of human learning for any age group and (b) search automatically for instructional improvements . The workflow is modular, so you can start simple and add sophistication as you gather data. 1. Frame the modelling problem Element Typical Choices State variables Knowledge/skill level K , motivation M , cognitive load C Observables Quiz accuracy, response time, time-on-task, self-report engagement Inputs (“interventions”) Study session length & spacing, modality (video, text, hands-on), feedback delay, gamification elements Outputs / objectives Retention after T days, learning rate (∆K/∆t), efficiency (retention ÷ total study minutes) Age-dependent parameters Baseline processing speed β(age) , decay rate λ(age) , attention ...

#3310 Emedding NPR  7150.2D into an LLM to support COMPLETE and ACCURATE retrieval #3310 I need python code to embed NASA NPR 7150.2D into an LLM. The embedding must support COMPLETE and ACCURATE retrieval of NPR 7150.2D information by section number, topic, SWE number and keyword(s). Below is a self‐contained Python example that: Loads and splits the NPR 7150.2D PDF into manageable chunks Extracts metadata for each chunk: Section number (e.g. “5.2.1”) Section title/topic SWE references (e.g. “SWE-012”) A short list of extracted keywords Embeds each chunk using OpenAI’s embeddings Stores them in a Chroma vector‐store with that metadata Provides simple retrieval functions by section number, topic, SWE number, or arbitrary keywords # 1) Install dependencies (once): # pip install langchain openai chromadb import re from langchain.document_loaders import PyPDFLoader from langchain.text_splitter import RecursiveCharacterTextSplitter fro...

#3309 Roblox Script for 10x10 Grid of Cubes and Streets #3309 Provide a Roblox script to create a small town composed of a 10 x 10 grid of various size cubes, separated by streets Below is a complete Lua script you can drop into ServerScriptService (or as a Script under Workspace) to procedurally generate a 10×10 grid of randomly-sized cube “buildings” separated by street parts. -- Parameters local gridSize = 10 -- number of buildings per row/column local streetWidth = 10 -- width of each street (in studs) local blockSpacing = 40 -- total cell size (building + street) local minCubeSize = 10 -- smallest building edge length local maxCubeSize = blockSpacing - streetWidth -- largest building edge length local workspace = game:GetService( "Workspace" ) -- (Optional) clear previously generated town for _, obj in ipairs (workspac...