Back to Home11/19/2025, 10:06:09 AM

Quantum physicists have shrunk and "de-censored" DeepSeek R1

fleahunter
17 points
4 comments

Mood

skeptical

Sentiment

neutral

Category

science

Key topics

Quantum Physics

AI Models

DeepSeek R1

The story claims that quantum physicists have modified the DeepSeek R1 AI model, but lacks details and context, sparking skepticism due to the absence of discussion or supporting information.

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

29m

Peak period

3

Hour 1

Avg / period

2

Comment distribution4 data points

Based on 4 loaded comments

Key moments

  1. 01Story posted

    11/19/2025, 10:06:09 AM

    9h ago

    Step 01
  2. 02First comment

    11/19/2025, 10:34:42 AM

    29m after posting

    Step 02
  3. 03Peak activity

    3 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    11/19/2025, 11:23:39 AM

    8h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (4 comments)
Showing 4 comments
imputation
8h ago
1 reply
Why does this site attempt to force me to download some .htm file?
fragmede
8h ago
bad mime rules on the server
cadamsdotcom
8h ago
1 reply
> Multiverse turned to a mathematically complex approach borrowed from quantum physics that uses networks of high-dimensional grids to represent and manipulate large data sets. Using these so-called tensor networks shrinks the size of the model significantly and allows a complex AI system to be expressed more efficiently.

> The method gives researchers a “map” of all the correlations in the model, allowing them to identify and remove specific bits of information with precision. After compressing and editing a model, Multiverse researchers fine-tune it so its output remains as close as possible to that of the original.

This seems to be the substance but I didn’t spot a link to a paper. Is there a technical explanation someplace?

NitpickLawyer
8h ago
I think this is the paper? Skimming through it now: https://arxiv.org/pdf/2401.14109

edit: it's really light on details. They have some graphs on reduction and a few (old) benchmarks where supposedly they don't lose much accuracy, but with such old models being listed, it's hard to know. More of a "promo pamphlet" than a paper tbh.

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ID: 45977782Type: storyLast synced: 11/19/2025, 5:26:53 PM

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