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mappingbabeljc

HN member
Joined
Fri, Jun 12, 2015, 1:54 AM UTC
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202
Public activity
33 items

About mappingbabeljc

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Recent public activity

  1. comment
    Comment #20753653

    Hiya, I work at OpenAI. I think the Grover paper is a good place to read about some of this: https://arxiv.org/abs/1905.12616 We're likely publishing more on detecting fine-tuned o…

  2. comment
    Comment #18172568

    This does not have anything to do with OpenAI (though it's a cool initiative.) Source: I work at OpenAI.

  3. comment
    Comment #17720431

    Hi there, I work at OpenAI. This isn't related to OpenAI in any official sense, though there are some people involved who either have had links to us in the past, or currently have…

  4. comment
    Comment #15501381

    Correct - we saw a similar phenomenon of rapid capability gain via self-play in our Dota 2 work: https://blog.openai.com/more-on-dota-2/

  5. comment
    Comment #14089867

    (Disclosure: I write Import AI). Link: http://jack-clark.net/import-ai

  6. comment
    Comment #14053398

    Hi there, the weights and model are here: https://github.com/openai/generating-reviews-discovering-sen...

  7. comment
    Comment #13849978

    I write a weekly AI newsletter called Import AI which is also cross-published to this WP blog. I try to cover a mixture of fundamental research papers and applied stuff. It also in…

  8. comment
    Comment #13146612

    Hiya, (I'm Jack Clark) - this is a good point. The child probably gets about 50 to several hundred distinct 'frames' of the chicken. Still, a remarkably small number of examples.

  9. comment
    Comment #13105431

    You can create environments - it's coming! We'll be releasing many components over next few months.

  10. comment
    Comment #13104010

    There was an interesting academic research paper that showed you could train in GTA and transfer over to the KITTI dataset and do ok: https://arxiv.org/abs/1610.01983

  11. comment
    Comment #13103801

    We wanted people at NIPS in Barcelona to have something nice to read over their morning coffee and such. [I work at OpenAI - @jackclarksf on Twitter]

  12. comment
    Comment #13083867

    It just instituted a bunch of changes which will radically change the magazine and may make it break even. "A person familiar with the matter said the publication, which Bloomberg …

  13. comment
    Comment #12992720

    Even more interesting - an OpenAI paper on the roughly same subject/technique came out a little earlier (RL2 fast reinforcement learning for slow reinforcement learning https://arx…

  14. comment
    Comment #12137978

    Hiya, I wrote the article. What might not be captured here is that this is above all a community of people all working on AI so it's not like anyone is really emotional and/or aggr…

  15. comment
    Comment #12137908

    Hi there, I wrote the article. We also looked at data on things like number of forks and contributors on GitHub as well as massive rise in questions on StackOverflow (thanks to Del…

  16. comment
    Comment #12126541

    they plan to publish more details in a research paper, AFAIK.

  17. comment
    Comment #11376620

    One area where Google does seem to avoid this secrecy is in AI: both Google Brain and DeepMind are consistently publishing papers & in many cases putting them up on Arxiv pre-publi…

  18. comment
    Comment #11319672

    I'm an optimist in this area - people like Wait But Why and XKCD (eg - https://xkcd.com/thing-explainer/ ) - show that most complex subjects can be explained in simple language tha…

  19. comment
    Comment #11319534

    Hi there, author here -- mostly trying to be accessible. And I think in the tech community it is well understood that robotics is hugely difficult, but it seems like general public…

  20. comment
    Comment #10982973

    Hiya. Reporter here. On the press briefing call Hassabis said that the single node version won 494 out of 495 games against an array of closed- and open-source Go programs. The dis…

  21. comment
    Comment #10481012

    Hiya. Author here. I'd class some of Apple's main peers as: Google, Microsoft, Facebook, Samsung, Baidu, and, to a lesser extent, Amazon. These are all large consumer technology co…

  22. comment
    Comment #10454220

    Hiya. For those interested, the RankBrain approach of converting words and phrases into vectors ties directly to Geoff Hinton's more ambitious ideas about AI. He speaks about it a …

  23. comment
    Comment #10454102

    Hiya. They wouldn't explicitly confirm that it is word2vec, but everything we discussed indicated it's likely doing something roughly equivalent to word2vec, and is also doing simi…

  24. comment
    Comment #10454088

    Thanks for the feedback. As a general news organization we struggle with definitions/scoping for stuff within AI as it's such a new area and we try to write for a broad, albeit inf…

  25. comment
    Comment #10454076

    Hiya, author here - yes, you are correct. RankBrain is one of hundreds of distinct signals that go into the results page. It just happens to be one with a great deal of influence, …