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Better Language Models and Their Implications

blog.openai.com

31–40 of 138 posts

Re: Better Language Models and Their Implications

#31
This was only a matter of time.

For the DEFCON AI Village in August I talked about the implications of this sort of tech, and how that impacts how we release "exploit" code / think about "cognitive vulnerabilities": https://medium.com/@aviv/what-does-a-world-with-automated-so....

If you are doing work in this space, either in ML research or related security, you need to be thinking about implications (also see e.g. https://maliciousaireport.com).

Re: Better Language Models and Their Implications

#33
post #7

While censoring the full data set seems in some way to support the rationale of the OpenAI charter, it also means that only state actors and very well-funded entities will be able to use the work to create models of the size necessary to do the impressive stuff in the write up. Based on the concerns, it would seem that restricting the capabilities only to state actors would have the opposite of the intended effect. W…

I would guess this reduces the risk. Why would you say it does the opposite?

My argument: state actors might misuse this tech, but letting any script kiddie do whatever they want almost guarantees someone will misuse it.

Re: Better Language Models and Their Implications

#35
Is anyone else troubled by them not releasing the source model/dataset/parameters here? Yes, the technology can be used for malicious means - but would argue that "DeepFaking" language is FAR less of a problem than "DeepFaking" video/photo/audio... which already occurs. Seems like they went back on their charter to share AI developments broadly ("not concentrate power") under the excuse of "safety."

(These results look fire btw)

Note: copied my comment from dupe thread

Re: Better Language Models and Their Implications

#36
I think this would be extremely useful when we can do the inverse. Basically - can we detect if someone's writing is nonsensical or not? Can we detect if someone that is producing many well written essays is adhering to reality or not? Are they subtly re-defining terms, using flawed examples, etc?

The generated example of the biologists discovering a unicorn herd is too convincing on its own. It's only because it's so outlandish that we get the sense it's fictional.

Re: Better Language Models and Their Implications

#37
post #34

Started a Google colab with the interactive text generation script. https://colab.research.google.com/drive/1da54684tFMjPbR5idbv...

to be clear, this is the "politically innocuous" open sourced model. the results are not impressive.

Yeah the results aren't amazing on their own, but if you treat them similarly to how they do over at Botnik -- with some human curation involved-- you can find some interesting sentences.

Re: Better Language Models and Their Implications

#38
post #31

This was only a matter of time. For the DEFCON AI Village in August I talked about the implications of this sort of tech, and how that impacts how we release "exploit" code / think about "cognitive vulnerabilities": https://medium.com/@aviv/what-does-a-world-with-automated-so... . If you are doing work in this space, either in ML research or related security, you need to be thinking about implications (also see e.g.…

I mean, the ideas are there. The scope of the project is probably too big to reproduce for now, but eventually it will be accessible to your average spammer / scammer. We will get there. We won't be able to get these tools locked, make them exclusive for a certain type of responsible AI specialists. Someone will spill the beans, the models. People with bad intentions will reproduce these results. To me, the real deal is how we will manage these outbursts when they happen.

I assume discriminative models will solve the problem for a while, but as with Generative adversarial networks, you will be able to train models that are harder to discriminate against. I posit we're in for a big societal change (maybe more a content crisis) sometime in the next 10 years. Pretty sure we won't be able to keep it from falling in bad hands.

Re: Better Language Models and Their Implications

#39
post #7

While censoring the full data set seems in some way to support the rationale of the OpenAI charter, it also means that only state actors and very well-funded entities will be able to use the work to create models of the size necessary to do the impressive stuff in the write up. Based on the concerns, it would seem that restricting the capabilities only to state actors would have the opposite of the intended effect. W…

I would guess this reduces the risk. Why would you say it does the opposite? My argument: state actors might misuse this tech, but letting any script kiddie do whatever they want almost guarantees someone will misuse it.

Which is exactly what happens whenever there's a leak of NSA or other foreign government 'hacking' tools. As soon as they're public, ransomware authors and other shitty actors all deploy them to steal as much as possible before systems are patched.

Case-in-point:

Wannacry: https://en.wikipedia.org/wiki/WannaCry_ransomware_attack

NotPetya: https://en.wikipedia.org/wiki/Petya_(malware)#2017_cyberatta...

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