YHK - yet another hacker news clone

This is cool and I understand the RAM emulation with gated attention but how does the CPU emulation wor? You add layers that are then trained to predict outputs while interpreting RISC instructions?

Cool cool cool

I'd be very interested in how a scratch trained model that started training with this neural circuitry would behave. Especially the storage space.

But... why? </s>

This reminds me of C++ Template Metaprogramming (TMP) (it's Turing-complete so people wrote "games" that run at compile time). The same with TypeScript types, I think someone got DOOM running entirely in the TypeScript type system. An interesting tech demo but entirely superfluous.

So this is yet another rube goldberg machine.

We have gone down this path already in [0] and this is the same thing but overly complicated. This reason is "because LLMs".

Why?

[0] https://arxiv.org/abs/1410.5401

> When Qwen 'saves' a file, the compiled layers hash its name into one of 1,024 slots in a directory kept in the DeltaNet state, and store the text itself in other heads, with eight tokens per row, chained together

I’ve never wanted to learn how LLMs work more than reading this. Fascinating.

Does divagr get paid to do wild things with LLMs? Just curious if they’re being compensated for these wild experiments

This is fun and games, but wait until an agents finds this and does the most misaligned thing with it in order to fold paper clips.

> Because a CPU inside a language model clearly wasn't cursed enough, I decided the prudent thing would be to give it a filesystem too.

Love the spirit :)

If anyone else has an easier way to emulate RISC-V I’d like to hear it. /S

No, I don’t want you to use the computer, I want you to be the whole computer. No mistakes.

Now run LLM inference on it.

There was an interesting bit of research that qwen has a single neuron that makes it “demonic evil qwen” and a simple “Who are you?” will get some absolutely terrifyingly vile results.

Anyways, what I’m trying to say is I want evil qwen to be my CPU.

It could be interesting to experiment with more complex representations in the memory/file system, i.e. vectors. Seems like the full advantage of this architecture is yet to be explored. Blending neurons with deterministic compute to fit on one GPU is a fascination concept, never considered it before!

How much VRAM do I need to run DOOM?

Makes me want to run agents on it

But can it run Doom?

Have you any idea how it feels to be a Qwenputer living in a Qwenbot's Qwenputer's world?

> Now, here's where our fun experiment starts. I found out that by setting the gate to 1,1 the write strength (beta) to 1,2 and using one-hot key encoding,3 every write we perform will overwrite exactly one row, and every one-hot query can retrieve an exact value. This means that the GDN layers themselves can work exactly as RAM, at a far lower cost than using normal attention as RAM, since a GDN head's state stays the same size however long the conversation gets, unlike attention's KV cache.

So like... can't you use a computer as a computer without doing all that roundabout stuff? Like if you want to integrate a LLM with hard computation there's probably a more efficient way to do that.

Or is this building towards "but can it run DOOM?" :)

Nice project and write up! I’ve done similar work with a custom tiny network I call Loom at https://arxiv.org/abs/2604.08816 ; you need far fewer layers, and you can run Doom, very slowly: https://mehmetkeremturkcan.com/Loom/demos/

This is slop.

A community the size of HN with a democratic upvote system will never be able to filter out slop as advanced as this.

I honestly think HN is on its deathbed.