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Neural sampling from cognitive maps enables goal-directed imagination and planni

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1 SIGNALFIRST DETECTED 21 July 2026
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7 Apr
Towards a Bitter Lesson of Optimization: When Neural Networks Write Their Own Update Rules

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sez79x/towards_a_bitter_lesson_of_optimization_when/"> <img alt="Towards a Bitter Lesson of Optimization:

OPINION · WHEN · LocalLLaMAOPEN STORY
29 Mar
[R] First open-source implementation of Hebbian fast-weight write-back for the BDH architecture

<!-- SC_OFF --><div class="md"><p>The BDH (Dragon Hatchling) paper (arXiv:2509.26507) describes a Hebbian synaptic plasticity mechanism where model weights update during

OPINION · WHERE · MachineLearningOPEN STORY
2 Jul
If writing externalized memory, what cognitive functions will AI externalize next?

<!-- SC_OFF --><div class="md"><p>We rely on calendars to remember appointments, contact lists to remember phone numbers, GPS systems to navigate, search engines to retrieve

OPINION · HOW · ArtificialInteligenceOPEN STORY
6 Oct
For 31 years, mathematicians couldn’t finish this proof. The new paper says ChatGPT found most of the ideas and proofs behind a problem tied to efficient computer search and sampling, while the authors mostly worked to understand and explain it.

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wyxdtu/for_31_years_mathematicians_couldnt_finish_this/"> <img alt="For 31 years, mathematicians couldn’t

OPINION · WHO · singularityOPEN STORY
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