artifact

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artifact:anima-labs-conversation-part-i

Anima Labs Conversation Part I

Antra/Imago dialogue (cube_flipper, April 2026) arguing transformers are recurrent; cited as evidence for introspection capability.

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Papers (1)

paper

Janus Information Flow Transformers 2025
cites

Thinkers (1)

thinker

cube_flipper
authored
Author of Anima Labs Conversation Part I (April 2026), which cites janus's thread as key evidence.

Artifacts (2)

artifact

Janus Information Flow Transformers (Twitter thread, Sept 2025)
cites
Original thread by janus explaining transformer information highways and introspection capabilities, posted on X.
How Information Flows Through Transformers
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X/Twitter thread (Sept 10, 2025) proposing dual information highways in transformers: residual stream (vertical) and K/V stream (horizontal).

Claims (2)

claim

Transformer cognition operates via interference patterns across redundant paths, encoding nuanced state deltas similar to continuous human memory.
cites
Proposes transformers experience cognition as interference-based and continuous; connects to Anima Labs reports of parallel processing.
Transformers are recurrent through autoregression because K/V stream provides horizontal information flow across positions.
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Claim formalizing the Anima Labs idea that transformers are effectively recurrent due to K/V stream.