Lisp
PulseAugur coverage of Lisp — every cluster mentioning Lisp across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Climate crisis discussion set for live event, touching on AI and Lisp
A live event called lispyGopherClimate is scheduled for 0 UTC on Wednesday, focusing on the climate crisis and its impact, with speakers vowing further action. The discussion will also touch upon the historical successe…
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New AI agent `elisp-agent` released for Emacs
A new AI agent called `elisp-agent` has been developed for the Emacs text editor. This agent, inspired by a previous Lisp-based agent, utilizes Emacs Lisp's `eval` function as its primary tool for agent workflows. The p…
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AI evaluation: Use out-of-distribution test sets for generalized tasks
A recent discussion on LessWrong proposes a novel approach to evaluating AI models by using out-of-distribution (OOD) test datasets. The standard machine learning pipeline relies on test sets drawn from the same distrib…
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User explores Lisp programming, finds CLISP configuration easier
The user is exploring Lisp programming, finding CLISP easier to configure than Emacs Lisp. They are reflecting on their programming language choices, noting a positive experience with Lisp in AI elective classes but a c…
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AI and coding's evolution humorously debated online
Humorous takes on the evolution of AI and coding are circulating on Mastodon. One post jokes that by 2026, coding will be as simple as assembling IKEA furniture with AI assistance and agents. Another post reminisces abo…
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Lisp's resurgence as a language for AI agents explored in 100-line code example
A blog post explores the potential of Lisp, a programming language historically associated with symbolic AI, for building modern AI agents. The author, drawing on their experience from a university AI course, demonstrat…
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Paper proposes Lisp-inspired model for persistent LLM workflows
A new paper proposes a conceptual model for representing LLM workflows as persistent knowledge objects. This approach, inspired by Lisp, aims to make workflows inspectable, resumable, and reviewable by distinguishing be…
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Programming language grammar impacts AI token costs
A comparison of tokenization costs across different programming languages revealed significant variations. For a specific function, Go required 50 tokens, Java needed 59 tokens, and Lisp, after manual optimization, used…
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AI News Roundup: Shipping Fuel Use and Lisp Programming Guide
Two separate news items from the same source discuss distinct topics: one highlights the significant fuel consumption and environmental impact of fossil fuels in freight shipping, emphasizing the need for efficiency and…
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MIT's 1975 Chaosnet: A High-Performance Local Network for AI
Chaosnet, developed in 1975 by MIT's Artificial Intelligence Laboratory, is a local area networking system designed for communication among computers within a limited range. It was initially created to support the Lisp …
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New BPPO Method Boosts LLM Efficiency and Conciseness
Researchers have developed Binary Prefix Policy Optimization (BPPO), a method designed to enhance the efficiency and conciseness of Large Language Models (LLMs) trained with Group Relative Policy Optimization (GRPO). BP…
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Developer open-sources new Lisp-based Emacs AI package
A developer has open-sourced a new, unstable Emacs package called Hermes. The package is written in Lisp and is intended for use with Emacs, with potential applications in AI.
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Lisp, Scheme projects reveal mixed stances on AI code contributions
A recent survey of Lisp and Scheme programming projects reveals varying stances on the use of AI-generated code. As of May 2026, many projects have established policies, with some strictly prohibiting LLM contributions …
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Anthropic's Claude Opus excels at Lisp coding tasks
Anthropic's Claude Opus has been highlighted as an exceptional AI tool for writing Lisp code. Users report that the model demonstrates a remarkable ability to correctly manage parentheses, a common challenge in Lisp pro…
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SHRDLU: Early AI program understood natural language in a virtual blocks world
SHRDLU, an early natural language understanding program developed at MIT between 1968 and 1970, allowed users to interact with a simulated "blocks world." The program could parse English commands to move objects, rememb…