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liuliu/lm_understand-logs

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'

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Momentum

How fast liuliu/lm_understand-logs is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Nov 3 – Nov 4, 2026

Stars +0 in 2 days

01

Forks +0 in 2 days

01

Merged PRs 0 in 2 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Nov 3Nov 4
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Total+0+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 43 posts
    • So, if you break it down, nothing fancy (still impressive!). The size / resolution of the network is a giveaway that it should be a simple game from Atari period, and then the enumeration becomes…

      Read full on X, posted by @liuliu

      @liuliu · x.com

    • Tried to reprod the "read NN weights directly" prompts with @localcodeapp & DeepSeek 4.1 Flash 1017. Out of the 4 games, it got 3. Unlike @simonw's run, mine got the Freeway, but not Pacman (!!!), so…

      Read full on X, posted by @liuliu

      @liuliu · x.com

    • Since open-weights models let you to inspect their reasoning traces, it is pretty obvious that the model realizes that it has limited choices (Snake, Pong, Breakout, Tron, Sokoban, Pacman etc.) from…

      Read full on X, posted by @liuliu

      @liuliu · x.com