✦ Aethelas Blog

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News, announcements, and technical deep dives from the Aethelas team.

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Research Sep 1, 2026

Verifiable Unlearning: New Research Results

Our latest technical report on provable data deletion. We demonstrate selective unlearning with cryptographic proof of erasure — removing one contributor's data changed the root hash and left other data bit-for-bit intact.

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Technical Aug 25, 2026

Class-Incremental Learning: Where Naive Replay Fails

We test the harder, more realistic setting of class-incremental learning and report our findings honestly — including the limitations. All three replay conditions collapsed to near-chance accuracy.

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Community Aug 18, 2026

Building Trust in AI: Our Mission

Why we believe verifiable memory is the foundation for trustworthy AI systems in regulated industries. A look at the principles behind Aethelas and why transparency matters.

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Announcement Sep 8, 2026

New Security, Roadmap, Careers & Feedback Pages

We've expanded the Aethelas website with 4 new pages: Security, Roadmap, Careers, and Feedback. Explore our security practices, see our future plans, join our team, and share your thoughts.

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Research Aug 10, 2026

Retrieval vs Capacity: The 17% Crossover

A 561-parameter model beat a 350× larger one by 8.6 points when retrieval was perfect — but the advantage inverted past 17% retrieval error. The transferable result: measure retrieval accuracy first.

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Technical Aug 2, 2026

Bounded Self-Improvement: Where the Loop Plateaus

Autonomous self-improvement is real but bounded by whether the task exposes a gradient. We measured the loop's behaviour across three deliberately different task types.

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