All blog posts tagged with ai
Introduces LLMTEXT, an open-source toolkit for creating, validating, and using llms.txt files to make websites accessible to AI agents through standardized documentation and MCP servers.
Argues against the need for new hardware for AI assistants, proposing that existing simple phones paired with good headphones can deliver bidirectional voice interfaces effectively.
Investigates creating a completely internet-free development environment with large LLMs, exploring privacy, security, and focus benefits while documenting installation challenges and workarounds.
Predicts the decline of human utility as AI surpasses knowledge workers in capability, proposing becoming "compute allocators" to stay relevant in an AI-dominated future.
Demonstrates how LLMs enable scalable knowledge work by breaking down complex tasks into API-driven subtasks, using building websites for GitHub repos as a practical example.
Explores the shift from smartphone apps to natural language voice interfaces powered by AI agents, advocating for open source approaches to eliminate traditional business boundaries.
Analyzes the barriers preventing seamless system integration and proposes solutions like API search engines and GPT normalization to overcome vendor lock-in and integration complexity.
Explores the concept of transforming everyday conversations into various forms of digital content through AI-powered "Chatcasts," ushering in the age of social computing.
Presents a simple yet powerful method for using ChatGPT to perform fast parallel classification tasks, such as determining gender from names with 250ms response times.
Shares practical insights on integrating AI into businesses, covering GPT applications, privacy considerations, and advice for startups and enthusiasts embracing the AI revolution.
Demonstrates how to create end-to-end tests for ChatGPT AI plugins using the MRKL technology, with practical examples testing a ScrapingBee plugin.
A reflection on how AI and machine learning will soon understand us better than we know ourselves, leading to personal AI advisors that could transform decision-making and human behavior.
A philosophical exploration of humanity's environmental impact and potential solutions, discussing climate-control, evolution-control, and population management as strategies for creating a sustainable future.
A speculative warning about the potential future where capitalism drives the creation of cyborgs who may become superior to humans in business, exploring both optimistic and pessimistic scenarios for human-machine integration.
A prediction about the potential emergence of a distributed deep learning virus that could achieve human-level intelligence by utilizing multiple computers, exploring the implications and preventive measures needed to avoid an AI threat scenario.