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▲ kelnos 7 hours ago

The only true defense is actual open source. Open "weights" is not that. You need the entire training pipeline open-sourced, plus the entire training corpus, so someone can independently train the model from scratch.

Obviously this will never happen. And even if it did, it still probably wouldn't be that hard to hide something in that mountain of data.

▲LPisGood 4 hours ago | parent | next [-]

Is open data just not possible because it is almost all copyright infringement? I wonder why Chinese labs haven’t dumped it at least.

▲foo12bar 3 hours ago | parent | prev | next [-]

Why not have a second model that reads every response looking for something nefarious?

▲seanhandley 2 hours ago | parent | next [-]

Sounds like a SIEM to me

▲lazide 3 hours ago | parent | prev [-]

Who watches the watcher?

▲foo12bar 2 hours ago | parent [-]

Well you could use a model created from a completely unrelated entity. It would be difficult for an adversary to poison both in a exactly complementary way.

▲kennywinker 7 hours ago | parent | prev | next [-]

The idea of dropping >half a million dollars in gpu credits to re-train a model to confirm no tampering is laughable at this point. Until training costs fall, that’s not really a solution.

Also, is training even deterministic? Does the same code with the same training data always result in the same model?

I’m all for open source models (not just open weight) but I feel like a way to scan the model weights for backdoors is going to be an easier problem to solve than obtaining training data.

▲fwipsy 5 hours ago | parent | next [-]

> a way to scan the model weights for backdoors

The AI safety folks have been working on a way to verify model behavior more generally. The term I've heard is "mechanistic interpretability" and it's actually really hard, though there's been some progress.

▲simoncion 6 hours ago | parent | prev | next [-]

> The idea of dropping >half a million dollars in gpu credits to re-train a model to confirm no tampering is laughable at this point.

Why? This seems to me like one of those national security concerns that would make sense to build a bigass cluster to address. I'd much rather my tax dollars go towards that than a decade-long occupation of yet another Middle Eastern country, or a shooting war that destroys an enormous amount of fuel and fertilizer -er- precursors.

Plus, building such a cluster would provide a place to put all that aging LLM hardware that's rumored to have been purchased but has no place to go, on account of datacenters being "more difficult to build than expected".

▲kennywinker 5 hours ago | parent [-]

> This seems to me like one of those national security concerns that would make sense

Ah, so not something the current gov will do.

Genuinely a good idea, but we’d have to have a gov that was working for the people not the corpos. (E.g. https://madrobot.blog/2026/10/19/us-bans-deepseek-federal-ag...)

▲simoncion 4 hours ago | parent [-]

> Ah, so not something the current gov will do.

Don't be so sure! Because:

  [B]uilding such a cluster would provide a place to put all that aging LLM hardware that's rumored to have been purchased but has no place to go, on account of datacenters being "more difficult to build than expected".
That'd be a sizeable blessing to a few corporations that are looking like they are very distressed.
▲LPisGood 4 hours ago | parent | prev | next [-]

Half a million dollars is a rounding error to the defense industry. If the risks were evaluated to be a national security problem, it would be trivial to do.

▲tyromaniac 6 hours ago | parent | prev [-]

Synchronization would be the hard part to do performatively, but that's the only obstacle.

▲Multicomp 6 hours ago | parent [-]

could this be the new SETI@home and/or 'blockchain' project? Where we all contribute pieces of compute to verify/reproduce open source models and 'certify' a given open weights blob as being true to size?

▲kennywinker 5 hours ago | parent | next [-]

I’d rather a seti@home or folding@home style project to train fully open source models. I’d dedicate at least 12 hours a day of my gpu to that.

▲khimaros 4 hours ago | parent | prev [-]

https://github.com/bigscience-workshop/petals was meant to be this i think

▲anonym29 7 hours ago | parent | prev [-]

It has already happened repeatedly. Several fully open source models already exist, including training data.

They suck, but they do exist.