PaperCoder is a multi-agent LLM system that transforms scientific papers into code repositories through a three-stage pipeline: planning, analysis, and code generation. It aims to create faithful, high-quality implementations.
This article details new prompting techniques for ChatGPT-4.1, emphasizing structured prompts, precise delimiting, agent creation, long context handling, and chain-of-thought prompting to achieve better results.
Notte is an open-source browser using an agent, designed to improve speed, cost, and reliability in web agent tasks through a perception layer that structures webpages for LLM consumption. It offers a full stack framework with customizable browser infrastructure, web scripting, and scraping endpoints.
Lightweight coding agent that runs in your terminal, allowing chat-driven development with the power to execute code and manipulate files.
Spammers leveraged OpenAI's GPT-4o-mini to generate unique messages, bypassing spam filters and successfully delivering unwanted messages to over 80,000 websites over a four-month period. The framework, named AkiraBot, used the LLM to personalize messages, making detection more difficult.
This article details the partnership between OpenAI and Notion to integrate generative AI directly into the Notion workspace, enhancing writing, brainstorming, summarization, and more through OpenAI's GPT models.
This article details the Model Context Protocol (MCP), a new approach to integrating Large Language Models (LLMs) like Azure OpenAI with tools. MCP focuses on structured data exchange to improve reliability, observability, and functionality, moving beyond simple text-in, text-out interactions. It aims to standardize how LLMs interact with tools, enhancing their ability to utilize those tools effectively.
A terminal-based platform to experiment with the AI Software Engineer. It allows users to specify software in natural language, watch as an AI writes and executes the code, and implement improvements. Supports various models and customization options.
The article discusses the implications of Sam Altman's proposal to modify the social contract in light of advancements in AI, emphasizing the potential risks to marginalized communities and democratic values. It critiques the exclusionary nature of traditional social contract theories and questions the role of tech leaders in shaping societal norms.
The article discusses how Sam Altman, CEO of OpenAI, strategically outmaneuvered Elon Musk to become a key player in President Trump's administration regarding AI policies. Despite being a Democratic donor and critic of Trump, Altman leveraged his relationships with key figures like Doug Burgum, Larry Ellison, and Masayoshi Son to secure a $100 billion AI infrastructure project called Stargate. This project, announced by Trump, positions OpenAI at the center of the administration's AI agenda, aiming to stay ahead of China in AI development. The article also highlights the complex political maneuvers and funding challenges Altman faced, including a temporary firing from the OpenAI board and the need to secure investments from multiple sources.
