---
id: "entity-gemini-d35"
type: "entity"
entityType: "product"
canonicalName: "Gemini"
aliases: ["Google Gemini", "Gemini 3"]
source_timestamps: ["00:03:45"]
tags: ["ai-model"]
related: ["concept-continual-learning"]
sources: ["s35-compounding-gap"]
sourceVaultSlug: "s35-compounding-gap"
originDay: 35
---
# Gemini

## Gemini

Google's multimodal LLM family. Public canonical reference: https://deepmind.google/technologies/gemini/

### Role in this source
Referenced in the context of [[concept-continual-learning]]. Jones uses a hypothetical "Gemini 3" as the canonical example of a model that **will no longer have to wonder what year it is** — i.e., one that benefits from continual, post-deployment learning.

### Enrichment context
Gemini is the family of models most associated with ongoing dynamic updates in current public discussion. Continual learning experiments are noted, but the model still relies on **RAG (Retrieval-Augmented Generation)** for recency, and catastrophic forgetting remains an obstacle to true production-grade continual learning.