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#chip#maybe#hidden#nvidia#more#opcodes#lot#same#ray#chips

Discussion (15 Comments)Read Original on HackerNews

zie1onyabout 1 hour ago
At my uni, 15 years ago, one postdoc reverse engineered NVIDIA chip and wrote more performant compiler. He did that by connecting oscyloscops to all chip's outputs and started with applying random current on inputs. Using ML and his genius he rediscoverd all opcodes including a few hidden ones. Eventually he got hired by some company that was doing a lot of GPU on supercomputers.
inigyouabout 1 hour ago
You can't do that by applying random inputs to any integrated GPU. I can see that perhaps it worked on some of the early multi-chip cards - where one chip was a texture sampler, and so on.

You'll have more luck reverse engineering the software driver first. They're not hidden, you can just open the driver files in Ghidra, the almost-universal tool for open-sourcing proprietary code. Hidden opcodes can be discovered first by just trying all the opcodes you couldn't discover any other way. You only need to go to the physical level if they're really hidden.

sigbottle27 minutes ago
To be fair, Ghidra was released in 2019 and in general knowledge was still hard to find even back in 2010 I feel (well, compared to 2026 in the age of AI)
inigyou3 minutes ago
Before that there was, and still is, IDA Pro. Works largely the same but costs a lot.
whittenabout 1 hour ago
Is there something like an Extract-SPICE tool that takes a circuit and gives you back a text rendering of it ?
Joel_Mckay34 minutes ago
Practically No, the stack-up of metal layers often hides the gate structures underneath, and the billions of process cells may not all be the same.

Theoretically Yes, as an ion-beam-mill and electron-microscope combination machine can slice up semiconductors layer-by-layer. Given these machines can often also give precise x-ray analysis material data, the exact makeup of the chip can be extracted by competitors given enough time. =3

saltcured17 minutes ago
Now you're making me imagine some kind of 3D-scanning, confocal x-ray fluorescent spectroscope.

Or maybe some kind of hybrid of x-ray microtomography and spectroscopic analysis all in one.

But, maybe the energies involved would be about the same destructive power as some microtome slicing technique...

NooneAtAll3about 2 hours ago
looks like they didn't post any blog post about 2nd NN challenge (https://huggingface.co/spaces/jane-street/droppedaneuralnet)

I was waiting for some writeup about permutation decyphering

q3kabout 1 hour ago
In a simplified scenario (not too far from this)? Yeah, we've done that in CTFs almost a decade ago.

https://blog.dragonsector.pl/2017/10/?m=1

inigyouabout 1 hour ago
From where do I know the name Dragon Sector and q3k? You aren't the ones who hacked the train DRM, are you? Or maybe active in the demo scene? Or maybe I'm just confusing you with TRSi?
q3kabout 1 hour ago
Maybe. :)
IshKebababout 2 hours ago
That sounds like a fun challenge. Feels a lot more tractable than the neural net one.
ck2about 1 hour ago
people who can do this stuff are super-smartypants

but reminds me how we're going to find out on an industrial level when the Saudis give China some nvidia chips they were grifted

they've cloned lots of chips before but nothing that advanced

inigyouabout 1 hour ago
China has no shortage of Nvidia chips. It costs nothing (relatively) for someone to just buy a 5090 off the shelf and send it there.
inigyou42 minutes ago
Is this the chip they used to steal money from the Indian stock market until they got banned from India?
perching_aix9 minutes ago
[delayed]