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Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
1•aloukissas•1m ago•0 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
1•bigbromaker•4m ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•10m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
2•alephnerd•13m ago•1 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•13m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•16m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
3•hasheddan•16m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•28m ago•4 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•29m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•31m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
3•duxup•33m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•35m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•47m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•49m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•49m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•51m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•55m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•1h ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•1h ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•1h ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
3•rolph•1h ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•1h ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•1h ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•1h ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
2•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
40•chwtutha•1h ago•6 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments
Open in hackernews

Pangu's Sorrow: The Sorrow and Darkness of Huawei's Noah Pangu LLM R&D Process

https://github.com/moonlightelite/True-Story-of-Pangu/blob/main/README.md
17•guardiangod•7mo ago

Comments

yms_hi•7mo ago
Calling a paper already determined to be AI-generated as "incident"? This is a major point of suspicion in the entire text.
nirui•7mo ago
Is the article a translation from Chinese? You have to have some deep knowledge on Chinese net slang and Huawei slang to correctly understand it.

And all that unnecessary emotional expressions. All of it made the article hard to read.

Here's takeaways I extracted:

1. The author claim to be "an employee of the Pangu Large Model Team and Huawei Noah's Ark Laboratory", a lower ranking "small worker". The first 4 bullet points supposed to prove that they have insider knowledge, which should authenticate the claims that followed. As of why Huawei named their teams in this oddly way is unexplained but do desire some psychiatric analysis.

2. "At the beginning, our (Huawei, editor's note) computing power was very limited..." (detail followed), "...At the same time, other domestic companies such as Alibaba (which published Qwen, editor's note) and Zhipu were training on GPUs and had already figured out the right method. The gap between Pangu and its competitors was getting bigger and bigger"

3. "In this situation, Wang Yunhe ('the current director of Noah', editor's note) and his small model laboratory took action. They claimed that they inherited and transformed from the old 135B parameters, and through training a short few hundred B of data, the average improvement of various indicators was about ten points. In fact, this was their first masterpiece of applying the shell to the large model. Huawei's laymen led the experts, which made the leaders completely unaware of this nonsense. They only thought that there must be some algorithm innovation. After internal analysis, they actually used Qwen (which is published by Alibaba, editor's note) 1.5 110B for continued training.", "By adding layers, expanding the ffn dimension, and adding some mechanisms from the Pangu pi paper, they gathered about 135B parameters. In fact, the old 135B has 107 layers, while this model has only 82 layers, and the various configurations are also different. After training, the distribution of many parameters of the new 135B of unknown origin is almost exactly the same as that of Qwen 110B. Even the class name of the model code was Qwen at the time, and they were too lazy to even change the name. The subsequent model is the so-called 135B V2. This model was also provided to many downstreams at the time, even including external customers."

And that's about it.

Also, yeah, the article was indeed a translation from Chinese. The [original post] was written in Chinese, and then got translated it to English by github.com/moonlightelite. That's why it felt odd to read.

[original post]: https://web.archive.org/web/20250706034203/https://github.co...

After reading the article, I feel this is less of a whistle blowing, more of an attack against Wang Yunhe. That's why there's so much emotional expressions, to (maybe) appeal to Huawei and/or the future employer of this individual. But that's just my personal feelings/hint.