[cmrx64]

Displeased with this trend of LLM-assisted “research”. The central claims are false, the examples of floating point are false and off by a factor of 1e11, the latency numbers are complete WTF and disconnected from reality (‘cycles’ of what).

Fixed point arithmetic with a dynamic scale is presented along the way motivating floating point in probably every computer architecture class. It’s a floating point.

This guy needs to open a book. I recommend Nick Higham’s _Accuracy and Stability of Numerical Algorithms_.

[vgo96]

I think you are discrediting LLMs, gemini 2.5 pro catches most of the flaws in the author's article. I think the author just doesn't understand floating point.

[withinboredom]

So does ChatGPT 4.1: https://chatgpt.com/share/6888d177-4ebc-8013-b3a2-2648ebea91...

[cmrx64]

to properly plumb the LLM here you should also freshly ask it “Tell me what is right with this:”

I prompted them without anything except the content and they autonomously decide it’s either all nonsense or they take the bait and start praising it.

[kragen]

How do you know if Gemini caught the flaws you didn't notice?

[cmrx64]

possibly so. I’m even seeing GPT 4.1-mini ripping it apart when prompted with only the content. DeepSeek (not with thinking) is fooled.

[GaggiX]

I wouldn't be surprised if the author suffers from Bipolar Disorder or Schizophrenia reading the repo and his own citations, also a quite dumb LLM if used.