trenchcoat
Free · no sign-up
App report · 02 Nov 2026

RikiyaT/lm_understand-logs

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

Template-written 3 evidence items MIT2481 source files scanned
What this means for you

lm_understand-logs has no known tracking or crash-reporting libraries, and its code names no outside services.E1

  • It's open source under the MIT License (from its LICENSE file) licence, so anyone can read and check its code.E2
  • No tracking SDKs found: None of its dependencies is a known analytics, telemetry or crash-reporting library.E1

What it is

  • The project describes itself as: “Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'”E1
  • It's written mainly in Python (files: json, py, toml).E1
  • 47 people starred it on GitHub; the code was last updated 2026-10-29.E3

Where your data goes

Neither its code nor its shipped app names any outside service we could find (format and documentation links don't count).

What it can do on your computer

No tracking SDKs found

None of its dependencies is a known analytics, telemetry or crash-reporting library. Signals: dependency scan.E1

dependency scan

Evidence

Every sentence above points to one of these. Code references show the file, line:column and the short identifier that matched, never the site's code itself.

E1
Repository: RikiyaT/lm_understand-logs
Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
GitHub description · https://github.com/RikiyaT/lm_understand-logs
E2
Licence: MIT License (from its LICENSE file)
GitHub license · https://github.com/RikiyaT/lm_understand-logs
E3
47 stars, last push 2026-10-29
GitHub activity · https://github.com/RikiyaT/lm_understand-logs

Limits

  • We read the app's code and its official download without running it. Code that exists may never run for you, and behaviour decided by servers is invisible.
  • Web addresses and libraries show what the app can talk to or do, not that it does so every time you use it.
  • Only open-source apps with a public GitHub repository are analysed. The release we inspected may differ from builds in app stores.
  • This text was written from fixed templates because no AI writer was available. It uses exactly the same evidence.

Facts, not judgements: this page describes what the code and traffic show, not anyone's intent. Not financial advice. Case id EKafPaVa.