We're Learning Backwards: LLMs build intelligence in reverse

<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:

<!-- SC_OFF --><div class="md"><p>I’ve been thinking about the current AGI discussions, especially the debate between scaling language models and building embodied systems.</p>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not

<!-- SC_OFF --><div class="md"><p>I’ve been saying this for quite some time now and this paper that came out recently really puts it clearly</p> <p><a

&#32; submitted by &#32; <a href="https://www.reddit.com/user/wilsoniumite"> /u/wilsoniumite </a> <br /> <span><a

<!-- 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

<!-- SC_OFF --><div class="md"><p>The popular way of describing the purpose behind LLMs and the AI revolution is to imagine it as an abstraction layer. we have come from shifting

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1sxffva/llms_are_a_dead_end/"> <img alt="LLMs are a Dead End"