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Cutting (Claude Code) token spend on dynamic workflows 80%
A developer running dynamic workflows with Claude Code has documented an approach that cut token spending by 80% and reduced workflow execution time from five or six hours to twenty or forty minutes. The method works by standardiz...
Show HN: Local 3D LLM Sandbox a tiny assistant with an attitude
A developer has built a local 3D sandbox where a tiny robot with a big attitude builds whatever you ask for, entirely on your machine, with no cloud services involved. The project, llm-sandbox, splits interaction by speed: your ha...
Building a new programming language – looking for contributors
A new programming language called Shaft is attempting to match Rust's safety guarantees while remaining more readable and easier to use. The project is at an early stage, with a C++ and LLVM bootstrap compiler and a self-hosted co...
Bespoke: A Programming Language for People Who Say Please
Programming has developed an unfortunate tone. We kill processes, abort transactions, throw exceptions, break out of loops, and execute instructions. We acquire locks without asking, mutate values without apologizing, and order th...
CobaltC Programming Language Specification
A new systems programming language specification defines a language that looks like C on the surface but enforces memory safety, ownership, and borrowing at the language level rather than leaving them to programmer convention. Cob...
Revise is the Figma of machine learning
Machine learning workflows are slow, fragmented, and often require sending sensitive data to cloud services. Revise, a new no-code platform, tries to solve all three problems at once by providing a guided interface for cleaning da...
Seattle Times and Newsday are the latest publications to sue OpenAI and Microsoft
The Seattle Times and Newsday have filed suit against OpenAI and Microsoft, alleging that the companies used their journalism to train AI models without permission. The lawsuit argues that generative AI could make the journalism i...
The Roadmap of Mathematics for Machine Learning
Understanding the mathematics behind machine learning algorithms gives you a significant advantage when working on real problems. Most of this knowledge is hidden behind layers of advanced mathematics, but with proper foundations,...
LLM-Guided Program Evolution for Circle Packing: Breaking 10 Packomania Records for $28
A paper submitted to arXiv in September 2026 demonstrates that a large language model can evolve optimization algorithms well enough to break established mathematical records, and do it for less than the cost of a nice dinner....
Google Mantis: an Agentic Vulnerability Scanning Harness for Reducing False Positives
Google has open-sourced Mantis, an AI-agent framework designed to automate the software vulnerability lifecycle from identification through validation to repair. The tool targets a specific failure mode in existing AI-powered...