Self Rewriting Meta Learning God Seed 25K: 25,000 Examples for AI Self-Modification

A 25,000-example dataset engineered by WithinUsAI for developing self-modifying artificial intelligence systems. The dataset is designed to facilitate self-rewriting and meta-learning capabilities in language models. It was last updated on April 23, 2026.

Use Cases

• Fine-tuning language models for self-rewriting behavior based on the described engineering goal.
• Researching meta-learning techniques for AI using the provided examples.
• Developing recursive or self-modifying AI architectures based on the dataset's 'god-level recursive seed' concept.

Strengths

• Contains 25,000 examples, providing a substantial base for training.
• Specifically engineered for a defined purpose: creating self-rewriting AI with meta-learning.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

WithinUsAI

Collection Method

Likely engineered or curated for a specific AI training purpose.

Time Range

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Freshness

Last updated 2026-04-23 09:34:12; freshness should be verified.

Geography

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