# The Memory Problem - AI Inferences | Riemann Computing

- Canonical URL: https://wefunder.com/feed/365581
- Entity ID: wefunder:feed_item:365581
- Published at: 2026-08-08 13:41:46 UTC
- Updated at: 2026-08-08 13:44:25 UTC

## Author
Andrew Magdy Kamal

## Subject
Riemann Computing

## Content
Riemann Computing recently released a teaser for LonScript, a high-performance programming language designed for scientific and technical computing. In internal trials, LonScript demonstrated speed advantages measured at 1,434x faster than Python across 15 geometric means for benchmarks. Beyond current metrics, the company aims to apply its compression capabilities to raw data and datasets, text, spreadsheets/databases, archival formats, and specialized scientific data such as FASTQ and VCF files. This exploration extends to exploring the possibility of compressing large language models and tensor files, as well as executable formats (EXE, APK) and RAW/RAW12 formats.Riemann Computing believes AI inferences and model interfaces will unlock substantial value, with memory efficiency identified as a primary challenge. The proposed solution focuses on reducing the costs associated with training, compute, storage, hardware, and processing. The company contends it is nearing a pivotal moment with meaningful, transformative potential.As always, none of this is investment or financial advice. Please do your own due diligence and research.