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Jane Wang
1,654 posts
user avatar
Jane Wang
@janexwang
Senior staff research scientist at DeepMind. AI and neuro. Former physicist, current human.
London, England
janexwang.com
Joined March 2009
419
Following
37.4K
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  • user avatar
    Jane Wang
    @janexwang
    Sep 7, 2019
    At best, social networks are terrible at spreading accurate information; at worst, they're vulnerable to malicious attacks intended to manipulate our perceptions of reality. We need to really think hard about how to fix information spreading. nature.com/articles/d4158…
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    Jane Wang
    @janexwang
    Dec 13, 2020
    I don't usually ask people to call me "Dr" because I don't like the formality, but make no mistake. As with anyone who has earned a doctorate, my official designation is Dr. Wang. Not Mrs, not Ms, not Miss. I earned it. It means a lot to me. I expect you to respect that.
  • user avatar
    Jane Wang
    @janexwang
    Nov 23, 2023
    What if the missing ingredient for AGI is not more compute, or more parameters, or even a neat new algorithm, but rather social learning? New paper published in Nature Machine Intelligence! w/ @DuenezGuzman, Suzanne Sadedin, Kevin McKee, and @jzl86
    Content cover image
    A social path to human-like artificial intelligence
    From nature.com
    161K
  • user avatar
    Jane Wang
    @janexwang
    Aug 10, 2020
    fun fact: sunsets on mars are blue instead of red
    user avatar
    Domenico
    @AvatarDomy
    Aug 8, 2020
    A sunset on Mars taken by the Curiosity Rover
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    Jane Wang
    @janexwang
    Nov 24, 2023
    Now that Q-learning is the latest hot trend, I'm looking forward to the AI community rediscovering policy gradient and actor-critic methods, and then finally meta-learning! (hint: it's now called "in-context learning") Everything old is new again.
    82K
  • user avatar
    Jane Wang
    @janexwang
    Feb 1, 2021
    Meta-learning is a hot topic in AI, but how does it look in nature? I wrote a short review for Current Opinion in Behavioral Sciences that tries explores this question, hope you enjoy! Meta-learning in natural and artificial intelligence: authors.elsevier.com/a/1cTXd8MqMif3…
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    Jane Wang
    @janexwang
    Jan 5, 2022
    Ok, I have to say something. I’ve heard the argument many times that DEI efforts force us to “lower the bar” in order to be able to achieve diversity goals. This is always presented as being objectively logical (“it’s just numbers!”). Here’s why it’s wrong:
  • user avatar
    Jane Wang
    @janexwang
    Nov 30, 2020
    The release in Nature about #AlphaFold has some amazing quotes: "The model from group 427 gave us our structure in half an hour, after we had spent a decade trying everything" nature.com/articles/d4158…
  • user avatar
    Jane Wang
    @janexwang
    Jun 24, 2018
    Dissolving the Fermi paradox. What a way to end a paper - Conclusion: Loneliness and existential ennui. arxiv.org/abs/1806.02404
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    Jane Wang
    @janexwang
    Jan 25, 2019
    Our latest work on how meta-reinforcement learning agents can perform causal reasoning by learning from data, led by the very talented Ishita Dasgupta and colleagues: "Causal Reasoning from Meta-reinforcement Learning" arxiv.org/abs/1901.08162
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    Jane Wang
    @janexwang
    Aug 31, 2020
    Amortized learning of neural causal representations: Use an attentive relational model to learn causal graphs from interventions in a meta-learning setup with the very talented @rosemary_ke @DaniloJRezende Jovana Mitrovic and Martin Szummer arxiv.org/pdf/2008.09301…
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    Jane Wang
    @janexwang
    Nov 18, 2016
    Excited to have my first DeepMind paper! Click to learn about learning to reinforcement learn
    arXiv logo
    arxiv.org
    Learning to reinforcement learn
    In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applications is their...
  • user avatar
    Jane Wang
    @janexwang
    Jun 13, 2022
    Why has my whole feed turned into my freshman year philosophy class?
  • user avatar
    Jane Wang
    @janexwang
    Mar 13, 2024
    LLMs are amazing but they’re not grounded in external, embodied environments. That’s why I’m excited to finally be able to talk about the project I’ve been working on for over a year: SIMA, an agent that can follow natural language in video games! dpmd.ai/3TiYV7d
    37K

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