Researchers at MIT’s CSAIL are charting a more "modular" path ahead for software development, breaking systems into "concepts" and "synchronizations" to make code clearer, safer, and easier for LLMs to generate.
MIT researchers are proposing a new software development approach centered around "concepts" and "synchronizations" to address issues of complexity, safety, and LLM compatibility in modern software.
Concepts are self-contained units of functionality (like "sharing" or "liking") with their own state and actions, whereas synchronizations are explicit rules defining how these concepts interact, expressed in a simple, LLM-friendly language.
The benefits include ncreased modularity, transparency, easier understanding for both humans and AI, improved safety, and potential for automated software development. Real-world application: has been demonstrated by successfully restructuring features (liking, commenting, sharing) to be more modular and legible.
Future includes concept catalogs, a shift in software architecture, and improved collaboration through shared, well-tested concepts.
MIT researchers are proposing a new software development approach centered around "concepts" and "synchronizations" to address issues of complexity, safety, and LLM compatibility in modern software.
Concepts are self-contained units of functionality (like "sharing" or "liking") with their own state and actions, whereas synchronizations are explicit rules defining how these concepts interact, expressed in a simple, LLM-friendly language.
The benefits include ncreased modularity, transparency, easier understanding for both humans and AI, improved safety, and potential for automated software development. Real-world application: has been demonstrated by successfully restructuring features (liking, commenting, sharing) to be more modular and legible.
Future includes concept catalogs, a shift in software architecture, and improved collaboration through shared, well-tested concepts.
A discussion about finding pictures of ITS machines, with users sharing links to images and information about PDP-6 and PDP-10 systems.
- Raph Levien, who is an expert in Rust and rendering on GPUs, who founded Advogato, and who designed Inconsolata, a great monospace font. His talk's title is *I Want a Good Parallel Language*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
An article detailing the history of LISP machines and the SCHEME-78 microprocessor, designed to closely match the LISP language, developed by Guy L. Steele and Gerald Jay Sussman. It discusses the motivations behind creating dedicated LISP hardware, its eventual decline, and its relevance to modern AI hardware.
Fernando J. Corbató was a Professor Emeritus at MIT, renowned for his pioneering work in the development of time-sharing and resource-sharing computer systems. He was instrumental in creating the Compatible Time-Sharing System (CTSS) and Multics, both influential systems that laid the groundwork for modern operating systems. Corbató's contributions have been widely recognized through numerous awards and fellowships, including the Turing Award (1990) and the Computer Pioneer Award (1982). He was a long-time member of the MIT Computation Center and the Laboratory for Computer Science, and held leadership positions within the department. His work significantly impacted the field of computer science and the evolution of computing technology.
A forum dedicated to bug-lispm, a project related to the Lisp Machine. The page lists recent threads with their creation dates, titles, and number of posts/days spanned.
A new study by MIT CSAIL researchers maps the challenges of AI in software development, identifying bottlenecks and highlighting research directions to move the field forward, aiming to allow humans to focus on high-level design while automating routine tasks.
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 ELIZA chatbot, created in the 1960s by Joseph Weizenbaum at MIT, has been painstakingly reconstructed from archived records and run for the first time in over half a century. This effort marks a significant step in preserving one of the earliest examples of artificial intelligence. Despite its rudimentary nature compared to modern AI, ELIZA's resurrection highlights its historical importance.
Henry Minsky, son of AI pioneer Marvin Minsky, co-founded Leela AI, an MIT-connected startup using novel visual intelligence to optimize manufacturing production lines through video analysis.
