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Smerity
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Smerity

@Smerity

gcc startup.c -o ./startup. Focused on machine learning & society. Previously @Salesforce Research via @MetaMindIO. @Harvard '14, @Sydney_Uni '11. 🇦🇺 in SF.

San Francisco, CA
state.smerity.com
Joined July 2008

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    Smerity‏ @Smerity 14 Feb 2019

    Today's meta-Twitter summary for machine learning: None of us have any consensus on what we're doing when it comes to responsible disclosure, dual use, or how to interact with the media. This should be concerning for us all, in and out of the field.

    7:17 PM - 14 Feb 2019
    • 159 Retweets
    • 448 Likes
    • Kasia Kaczmarczyk Fortress Information Security Jenia bluebabbler Idena Prakay Cc Bayesian Bacon Brit psilocybergirl Ollin Boer Bohan
    2 replies 159 retweets 448 likes
      1. New conversation
      2. Smerity‏ @Smerity 14 Feb 2019

        I know each person and organization and they're all well intentioned. Some are getting aggravated at each other but I believe that's as they all see this as important and are reacting to a live-fire exercise split across the already contentious areas of {ML, PR, AI hype, ...}.

        1 reply 1 retweet 14 likes
        Show this thread
      3. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Smerity

        The work that caused the kerfuffle was a large scale language model from @OpenAI. Think of it as a super powered version of the predictive text on your phone that has read more data and can generate fairly coherent text.https://twitter.com/Smerity/status/1096189350268686337 …

        Smerity added,

        Smerity @Smerity
        For those not in machine learning, these new results reinforce an underlying narrative of the language modeling community - that if the predictive text in your mobile had a supercomputer behind it, you could tab complete real work. You can see why that excites us in the field ^_^ https://twitter.com/OpenAI/status/1096092704709070851 …
        Show this thread
        1 reply 1 retweet 17 likes
        Show this thread
      4. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Jack Clark

        The @OpenAI team released the paper and code for training the LM but not the largest of the pretrained models. The reasoning for not releasing the underlying model was concerns around dual use (dual use tl;dr good tech that can easily be used for bad)https://twitter.com/jackclarkSF/status/1096214382772514816 …

        Smerity added,

        Jack Clark @jackclarkSF
        Hiya, here are some malicious use cases (outlined in the blog). What do you think? pic.twitter.com/HwWu3Vxma5
        1 reply 2 retweets 13 likes
        Show this thread
      5. Smerity‏ @Smerity 14 Feb 2019

        Whilst @OpenAI have no requirement to open source the code or the pretrained models many in the community are troubled. Some are focused on reproducibility of science, others on dual use, others on the PR narrative, ... As there's no consensus anywhere there's no agreement.

        1 reply 2 retweets 18 likes
        Show this thread
      6. Smerity‏ @Smerity 14 Feb 2019

        The code for this work was released today and the technology hasn't changed substantially since last year. Larger groups are likely able to replicate the results - or at least an appreciably similar result - quickly. This impacts reproducibility for many smaller groups though.

        1 reply 3 retweets 20 likes
        Show this thread
      7. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Catherine Olsson

        No release aligns with @OpenAI's charter but leaves many in the community unclear as to considered risks. The ML community can't necessarily discuss the threat model as in the worst case you may be saying "Oh, that house has a key under the doormat".https://twitter.com/catherineols/status/1096211302249201664 …

        Smerity added,

        Catherine Olsson @catherineols
        Replying to @Miles_Brundage @mark_riedl @jackclarkSF
        I'd be very positive about a follow-up post about the threat model. Did you weigh specific likelihoods & magnitudes of impact? I've seen multiple folks asking, what makes you think non-disclosure of weights will make a difference, if you reveal the training procedure?
        1 reply 3 retweets 12 likes
        Show this thread
      8. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Mark Riedl is Non-Fungible

        Releasing a "restricted" model in this way has other (intentional or not) consequences - primarily that "AI is scary" is cat nip to reporters. Hence by acting like a good dual use citizen you can accidentally provoke the AI hype beast.https://twitter.com/mark_riedl/status/1096129834927964160 …

        Smerity added,

        Mark Riedl is Non-Fungible @mark_riedl
        It’s a win-win-win for OpenAI. (1) It’s good work. (2) Not releasing the model artificially (and unnecessarily) inflates this perspective while simultaneously prohibiting replication. (3) Get to talk about saving the world by ramping up the fear of AI.
        Show this thread
        1 reply 6 retweets 32 likes
        Show this thread
      9. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Mark Riedl is Non-Fungible

        This also runs in to the issue that research from big labs often ends up Press Release'd rather than released to the research community. As noted, few in the community knew it was coming out. I was a researcher that journalists reached out to early but...https://twitter.com/mark_riedl/status/1096214448807858176 …

        Smerity added,

        Mark Riedl is Non-Fungible @mark_riedl
        Replying to @rao2z @deliprao
        Let’s also stop and reflect on how reporters knew about this work longer than other scientists. Some of them reached out to academic researchers for comment, but it’s a powerful way to take early control of the narrative surrounding the technology.
        1 reply 2 retweets 17 likes
        Show this thread
      10. Smerity‏ @Smerity 14 Feb 2019

        Smerity Retweeted Smerity

        ...even if a journalist has good underlying sources, they're in a zero sum game. Multiple journalists are publishing on the research and if they cat nip their story with "AI is scary" they can likely win more audience. This hype escalation is not pretty 😶https://twitter.com/Smerity/status/892248098692399104 …

        Smerity added,

        Artificial Intelligence Emergency - Facebook shuts down rogue AI programs, which started talking to each other
        Smerity @Smerity
        I might lose my mind. Today, on local news back home in Australia, this made the news. What. The. Freaking. Hell. AI hype. WTF. pic.twitter.com/9VPT106ltB
        1 reply 2 retweets 16 likes
        Show this thread
      11. Smerity‏ @Smerity 14 Feb 2019

        This isn't the first time that @OpenAI ended up in this predicament. Their 1v1 DotA bot caused a great deal of angst in the ML community as it was released with nearly no details and a grand PR reception. This time they're explicitly better but the modern era has new issues.

        1 reply 2 retweets 12 likes
        Show this thread
      12. Smerity‏ @Smerity 14 Feb 2019

        As everyone has a different point of view, it's just collisions everywhere :S - When does a model go from "safe" to "dual use"? - How much of a "dual use" delay do we need to add? - Should we release to journalists first or researchers? - How can small labs participate in PR?

        3 replies 3 retweets 37 likes
        Show this thread
      13. Smerity‏ @Smerity 14 Feb 2019

        None of these questions have black and white answers and we don't even know what the shades of gray look like.

        5 replies 1 retweet 22 likes
        Show this thread
      14. End of conversation

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