---
id: "2025-12-01-ai-finds-1400-anomalies-hubble-archive"
url: "https://postcutoff.com/e/2025-12-01-ai-finds-1400-anomalies-hubble-archive/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2025-12-01"
date_precision: month
category: science
importance: 2
confidence: high
status: [Result confirmed]
verification: Peer-reviewed
sources: 3
editor: human editor
human_review: null
version: "2026-10-04"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2025-12-01-ai-finds-1400-anomalies-hubble-archive/

# AI searches 100 million Hubble images in 2.5 days, finding ~1,400 anomalies including 800+ never described

ESA researchers (Astronomy & Astrophysics, Dec 2025) used AnomalyMatch to scan 99.6 million Hubble Legacy Archive cutouts in about 2.5 days. They found ~1,400 anomalous objects, over 800 previously undescribed, including 86 new candidate gravitational lenses, jellyfish and ring galaxies, and objects that defy classification.

## Key facts
- 99.6M image cutouts in ~2.5 days
- ~1,400 anomalies; >800 not previously described; 86 candidate gravitational lenses
- Humans inspected all flagged images

## What happened

A semi-supervised anomaly detector swept the full Hubble archive, and experts reviewed the top-ranked oddities.

## Why it matters

It shows the AI-first search pattern that surveys such as Rubin/LSST and Euclid will depend on.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): in its training data
- Claude Opus 5.5 (training cutoff June 2026): in its training data
- Gemini 4 Hydrogen (training cutoff March 2026): in its training data
- Grok 4.7 (training cutoff May 2026): in its training data

## Sources

1. [ESA/Hubble: heic2603](https://esahubble.org/news/heic2603/) (esahubble.org, official)
2. [ESA: 1,400 quirky objects found in Hubble's archive](https://www.esa.int/Science_Exploration/Space_Science/1400_quirky_objects_found_in_Hubble_s_archive) (esa.int, official)
3. [arXiv 2505.03508](https://arxiv.org/abs/2505.03508) (arxiv.org, paper)

## Changes

- 2026-09-29 (filed): Created

## Related

- 2021-11-22: [NASA's ExoMiner deep-learning model validates 301 new exoplanets from Kepler data](https://postcutoff.com/e/2021-11-22-exominer-301-exoplanets/index.md)