AI Post Transformers

After Titans: Behrouz on Nested Learning and Hope


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Episode title: After Titans: Behrouz on Nested Learning and Hope
The followup to our Titans episode, by the same core team a year
later. Behrouz, Razaviyayn, Zhong, and Mirrokni (Google Research)
generalize the Titans bet — that long-term memory should be a
learnable module updated at test time — into a broader paradigm
they call Nested Learning, where a "deep" architecture is really
a hierarchy of nested optimization problems each compressing its
own context flow. The episode walks through their three core
contributions: (1) reframing standard optimizers like Adam and
SGD-with-Momentum as associative-memory modules that compress
gradient information, then proposing more expressive optimizers
with their own deep memory; (2) a self-modifying sequence model
whose update rule is itself learned end-to-end — the natural
generalization of the test-time-learnable memory module Titans
introduced; (3) a continuum memory system that replaces the
traditional short-term-vs-long-term dichotomy with a continuum
across multiple update rates. Combining the self-modifying
module with the continuum memory system produces Hope, a
continual-learning architecture reported promising on language
modeling, knowledge incorporation, few-shot generalization,
continual learning, and long-context reasoning. The hosts treat
Hope as the next concrete instance of the Titans → Nested
Learning research arc, stress-test the novelty against
established meta-learning and fast-weights literature, and
distinguish what the paper actually shows from what its framing
suggests.
Sources:
Nested Learning: The Illusion of Deep Learning Architectures —
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong, Vahab Mirrokni
(Google Research, NeurIPS 2025) — arXiv 2512.24695
https://arxiv.org/pdf/2512.24695
Titans: Learning to Memorize at Test Time — Ali Behrouz, Peilin
Zhong, Vahab Mirrokni (Jan 2025) — arXiv 2501.00663
https://arxiv.org/pdf/2501.00663
AI Post Transformers — "Titans: Learning to Memorize at Test Time"
https://podcast.do-not-panic.com/episodes/2026-05-20-titans-learning-to-memorize-at-test-time-054662.mp3
Interactive Visualization: After Titans: Behrouz on Nested Learning and Hope
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AI Post TransformersBy mcgrof