source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
SUNDAY, SEPTEMBER 20, 2026
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  1. 001Hacker NewsSEP · 19English

    Divide by Depth for Instant 3D

    This article explains how 3D graphics projection works, starting with the simple principle of dividing x and y coordinates by depth (z) to create perspective. It then introduces the perspective projection matrix, a more practical tool used in modern graphics that incorporates camera parameters like field of view, aspect ratio, and clipping planes to transform 3D world coordinates into 2D screen space.

    By gabrieloc
  2. 002X 主题热门SEP · 17English

    Robinhood Chain · X 热门 · 2026-09-17 10:39 UTC

    Robinhood Chain ecosystem discussions highlight emerging projects: $ALX positioning itself in the attention economy, $DEPTH exploring fully on-chain gaming, and TermiX expanding its multi-chain agent marketplace across BNB Chain, Base, and Robinhood Chain with strict architectural isolation and live onchain configuration.

  3. 003X 主题热门SEP · 17English

    Robinhood · X 热门 · 2026-09-17 10:37 UTC

    Robinhood Chain is gaining attention for on-chain gaming and decentralized finance experiments. Posts discuss $DEPTH, a fully on-chain gaming project; MUMi Mutant Misfits NFT giveaway; and TheMutualFun, an on-chain investment club where NFT holders vote on fund decisions and receive asset distributions.

  4. 004X 主题热门SEP · 17English

    Robinhood Chain · X 热门 · 2026-09-17 05:44 UTC

    X posts discuss Robinhood Chain's emerging ecosystem, including an on-chain raycaster game ($DEPTH), NFT projects like Broke Dealers, and market dynamics. Commentary suggests Arc chain projects underperformed while Robinhood Chain gains traction, with speculation that Circle's Arc positioning strategy has weakened its competitive viability.

  5. 005Hacker NewsSEP · 13English

    Recurrent Looped Transformer

    Recurrent Looped Transformer (RLT) combines a causal encoder with a recurrent decoder that grows temporal depth with each token, traversing tL_D decoder blocks after t tokens while maintaining fixed per-token computation. The architecture integrates global encoder memory with layerwise sliding-window attention caches in the decoder, enabling co-design with hardware and RL algorithms through shared state transitions across pretraining, fine-tuning, and sampling.

    By Yifan Zhang