BASE 44 ORDER: Implement Q8 encoded embedding column in breakthroughs table — E8 Intelligence Research

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1135] Add q8_encoded BYTEA column to breakthroughs. Write Python script: read 240-float embedding, divide by max abs, scale to int8, pack to bytes, store. Modify geometric lookup to decode bytes to float32 before similarity. Replace full-float traversal with Q8 path. Run A/B test. MERLIN: Understood. You want me to add a q8_encoded BYTEA column to the breakthroughs table, write a Python script to quantize 240-float embeddings to int8 and pack them as bytes, modify the geometric lookup to decode and use these Q8 embeddings for similarity, and replace the full-float traversal with the Q8 path. I will also set up an A/B test to compare performance. The swarm will begin by altering the schema, writing the quantization script, and updating the lookup logic. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22022599
Primary Topic
Computational Physics and Python Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

BASE 44 ORDER: Implement Q8 encoded embedding column in breakthroughs table — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
preprint

BASE 44 ORDER: Implement Q8 encoded embedding column in breakthroughs table — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1135] Add q8_encoded BYTEA column to breakthroughs. Write Python script: read 240-float embedding, divide by max abs, scale to int8, pack to bytes, store. Modify geometric lookup to decode bytes to float32 before similarity. Replace full-float traversal with Q8 path. Run A/B test. MERLIN: Understood. You want me to add a q8_encoded BYTEA column to the breakthroughs table, write a Python script to quantize 240-float embeddings to int8 and pack them as bytes, modify the geometric lookup to decode and use these Q8 embeddings for similarity, and replace the full-float traversal with the Q8 path. I will also set up an A/B test to compare performance. The swarm will begin by altering the schema, writing the quantization script, and updating the lookup logic. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.