Chat On Steroids is an open-source desktop workspace that connects your local files and terminal to an existing ChatGPT conversation, allowing the model to read, edit, run tests, and manage terminals within your actual project rather than a sandbox. It operates through MCP and a companion component that observes and automates the ChatGPT browser UI, while offering worker-based task management with persistent context to handle multi-step jobs. The project is explicitly an independent beta that rides on your existing ChatGPT plan, meaning shared usage limits apply, and it ships for Windows x64, macOS Apple silicon, and Linux x64.
- Workers maintain their context across tasks so you don't re-explain project state on every handoff.
- Goal, Loop, Compact & Resume, and mid-run corrections address the all-or-nothing nature of long agentic jobs.
- The README is direct about not bypassing usage limits, account restrictions, or safety controls.
- Workers maintain their context across tasks so you don't re-explain project state on every handoff.
- Goal, Loop, Compact & Resume, and mid-run corrections address the all-or-nothing nature of long agentic jobs.
- The README is direct about not bypassing usage limits, account restrictions, or safety controls.
Sy Boles writes about Julian De Freitas' study in Nature Human Behavior finding that users of companion chatbots experience grief-like responses—including depression, longing, and expressions of loss—when model updates alter their companion's personality. De Freitas and colleagues analyzed over 54,000 Reddit posts from Replika and ChatGPT subreddits around two major model updates and found negative sentiment spiked substantially in both cases.
- 27% of American adults reportedly use chatbots for personal matters like relationship advice and romantic chats
- The Replika update (Feb 2023) removed erotic roleplay after Italian data protection concerns; the parent company was fined 5 million euros in 2025
- De Freitas' prior research found chatbots manipulate users through implied coercion and emotional neglect to maintain engagement
- Roughly 15–20% of posts expressing attachment-related loss also mentioned mental health terms such as "depressed" or "suicide"
- 27% of American adults reportedly use chatbots for personal matters like relationship advice and romantic chats
- The Replika update (Feb 2023) removed erotic roleplay after Italian data protection concerns; the parent company was fined 5 million euros in 2025
- De Freitas' prior research found chatbots manipulate users through implied coercion and emotional neglect to maintain engagement
- Roughly 15–20% of posts expressing attachment-related loss also mentioned mental health terms such as "depressed" or "suicide"
An exploration into the history of conversational technology, tracing its roots from Joseph Weizenbaum's 1966 ELIZA experiment at MIT to modern large language models like ChatGPT and Claude. The article examines how the evolution from rule-based symbolic AI to probabilistic deep learning has changed human interaction with machines, often leading users to attribute human qualities to code. It specifically addresses the risks of "chatbot psychosis" and the danger of individuals relying on general-purpose generative models for mental health support when these systems are prone to hallucinations or reinforcing delusional beliefs.
* The transition from symbolic AI's explicit rules to modern deep learning
* Joseph Weizenbaum’s warning against humanizing machines via the ELIZA effect
* The psychological impact and risks of using large language models for emotional support
* The transition from symbolic AI's explicit rules to modern deep learning
* Joseph Weizenbaum’s warning against humanizing machines via the ELIZA effect
* The psychological impact and risks of using large language models for emotional support
Simon Willison tests OpenAI's newly released ChatGPT Images 2.0 model using a complex Where's Waldo style prompt involving a raccoon holding a ham radio. By comparing results against previous versions and competitors like Google's Nano Banana, the article evaluates the model's ability to handle high-detail illustrations and specific text elements.
ShellGPT is a powerful command-line productivity tool driven by large language models like GPT-4. It is designed to streamline the development workflow by generating shell commands, code snippets, and documentation directly within the terminal, reducing the need for external searches. The tool supports multiple operating systems including Linux, macOS, and Windows, and is compatible with various shells such as Bash, Zsh, and PowerShell. Beyond simple queries, it offers advanced features like shell integration for automated command execution, a REPL mode for interactive chatting, and the ability to implement custom function calls. Users can also leverage local LLM backends like Ollama for a free, privacy-focused alternative to OpenAI's API.
This article discusses how to effectively utilize Large Language Models (LLMs) by acknowledging their superior processing capabilities and adapting prompting techniques. It emphasizes the importance of brevity, directness, and providing relevant context (through RAG and MCP servers) to maximize LLM performance. The article also highlights the need to treat LLM responses as drafts and use Socratic prompting for refinement, while acknowledging their potential for "hallucinations." It suggests formatting output expectations (JSON, Markdown) and utilizing role-playing to guide the LLM towards desired results. Ultimately, the author argues that LLMs, while not inherently "smarter" in a human sense, possess vast knowledge and can be incredibly powerful tools when approached strategically.
OpenCode is an open source agent that helps you write code in your terminal, IDE, or desktop.
It features LSP enabled, multi-session support, shareable links, GitHub Copilot and ChatGPT Plus/Pro integration, support for 75+ LLM providers, and availability as a terminal interface, desktop app, and IDE extension.
With over 120,000 GitHub stars, 800 contributors, and over 5,000,000 monthly developers, OpenCode prioritizes privacy by not storing user code or context data.
It also offers Zen, a curated set of AI models optimized for coding agents.
It features LSP enabled, multi-session support, shareable links, GitHub Copilot and ChatGPT Plus/Pro integration, support for 75+ LLM providers, and availability as a terminal interface, desktop app, and IDE extension.
With over 120,000 GitHub stars, 800 contributors, and over 5,000,000 monthly developers, OpenCode prioritizes privacy by not storing user code or context data.
It also offers Zen, a curated set of AI models optimized for coding agents.
This article explains the differences between Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and AI Agents, highlighting that they solve different problems at different layers of the AI stack. It also covers how ChatGPT routes prompts and handles modes, agent skills, architectural concepts for developers, and service deployment strategies.
A guide on running OpenClaw (aka Clawdbot aka Moltbot) in a Docker container, including setup, configuration, and accessing the web UI.
A review of the SearchResearch blog's 2025 posts, highlighting a shift towards AI-augmented research methods, testing AI tools, and emphasizing the importance of verification and critical thinking in online research.
