Fortran
PulseAugur coverage of Fortran — every cluster mentioning Fortran across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI readiness doesn't require ditching IBM i core systems
Organizations are debating whether to fully migrate from IBM i systems before adopting AI, a move that could be costly and disruptive. While IBM i is considered legacy due to its interface and limited native AI integrat…
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LLM pipeline translates legacy Fortran code to JAX for scientific modeling
Researchers have developed a novel five-phase pipeline utilizing LLM-based agents to translate legacy Fortran code into the JAX framework. This system automates the process of code migration, including dependency analys…
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AI Agent Converts Legacy Finite-Difference Code to Devito
Researchers have developed an AI agent framework designed to convert legacy finite-difference code into the Devito environment. This system utilizes Retrieval-Augmented Generation (RAG) and open-source Large Language Mo…
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Sunya programming language bootstrapped with custom VM, not Fortran
The creator of the Sunya programming language, with assistance from Copilot, has decided against using Fortran for bootstrapping. Instead, they opted to build Sunya from scratch using a custom virtual machine and a seed…
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Old programming article sparks debate on AI's role in coding
A user on Mastodon shared a historical artifact from the era of punch cards and Fortran programming, drawing a parallel between past programming practices and the current discourse surrounding AI in programming. The use…
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Free Pascal and BLAS offer deterministic HPC for SLM projects
A user on Mastodon is exploring the use of BLAS, a set of Fortran-based matrix routines, for their Small Language Model (SLM) project. They express a preference for Free Pascal over languages like C, Python, Rust, and C…
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I learned # Pascal in the 80s. I learned a bit C and Rust and hated that pointer logic which is extremely clumsy for matrix manipulation. # Python and # C users
A programmer shared their experience learning various programming languages, finding Pascal's array handling superior for matrix operations compared to C and Rust. They noted that libraries like NumPy are often written …
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New research tackles LLM factuality, safety, and complex task performance
Researchers are developing new methods to improve the reliability and safety of large language models (LLMs). Google Research introduced SLED, a decoding strategy that uses all LLM layers to enhance factual accuracy wit…