Sam Altman discusses the imminent arrival of digital superintelligence, its potential impacts on society, and the future of technological progress. He highlights the rapid advancements in AI, the economic and scientific benefits, and the challenges of ensuring safety and equitable access.
This book covers foundational topics within computer vision, with an image processing and machine learning perspective. It aims to build the reader’s intuition through visualizations and is intended for undergraduate and graduate students, as well as experienced practitioners.
The article discusses how AI is forcing institutions like schools, governments, and corporations to re-evaluate their purpose and adapt to a world where machines can increasingly perform cognitive tasks. It argues that institutions must become more adaptive, transparent, and focused on uniquely human values to remain relevant.
AI Nexus is a platform for collaboration, knowledge exchange, and groundbreaking discourse in AI. It features upcoming AI events, speaker series, and faculty contributions to the global AI community. The site also provides information on MBZUAI programs and opportunities for collaboration.
ollamark is a command-line client for Ollama with markdown support. It allows users to execute prompts with various options like model selection, system prompts, temperature control, and output formatting (JSON, HTML).
MarkItDown is an open-source Python utility that simplifies converting diverse file formats into Markdown, designed to prepare data for LLMs and RAG systems. It handles various file types, preserves document structure, and integrates with LLMs for tasks like image description.
PDF of the second edition of Information Processing Language V Manual (1964).
This GitHub repository contains a re-implementation of the IPL-V programming language and the Logic Theorist (LT) program. It includes the original code transcribed into a TSV format and converted to Lisp, along with documentation and debugging tools.
"We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution. We wrote a scenario that represents our best guess about what that might look like.1 It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes."
Why developers are spinning up AI behind your back — and how to detect it. The article discusses the rise of 'Shadow AI' - developers integrating LLMs into production without approval, the risks involved, and strategies for organizations to manage it effectively.
>We’ve seen LLMs used to auto-tag infrastructure, classify alerts, generate compliance doc stubs, and spin up internal search tools on top of knowledge bases. We’ve also seen them quietly embedded into CI/CD workflows...
>We’ve seen LLMs used to auto-tag infrastructure, classify alerts, generate compliance doc stubs, and spin up internal search tools on top of knowledge bases. We’ve also seen them quietly embedded into CI/CD workflows...
