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  1. Prikvačeni tweet
    11. lip 2018.

    We show large language models trained on massive text corpora (LM1b, CommonCrawl, Gutenberg) can be used for commonsense reasoning and obtain SOTA on Winograd Schema Challenge. Paper at , results reproducible at

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  2. proslijedio/la je Tweet
    29. sij

    This video explains 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!"

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  3. 29. sij

    Had the chance to sit next to Daniel in the early days of the project and tried out the interactive Meena. It has always been *this* surprising and funny :) BIG Congrats to the team with this publication. The possibilities to build up from here is endless.

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  4. proslijedio/la je Tweet
    28. sij

    Introducing , a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness! Paper: Sample conversations:

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  5. proslijedio/la je Tweet
    7. sij

    this is absolutely nuts. The AI GPT-2 has learned to play chess moderately well (able to give bad human amateurs a game) – despite only being a text AI, learning from a corpus of chess notation text, and not having any concept of what a chessboard is

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  6. proslijedio/la je Tweet
    3. sij

    We’re excited to announce a beta-version of a brand-new type of ML competition called Simulations! Compete against a set of rules, rather than against an evaluation metric. 👀 Give it a try today 👉

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  7. proslijedio/la je Tweet
    29. pro 2019.

    After getting published in ICLR as an Independent Researcher, I have received nearly 100 messages from others who are looking to do the same. So I wrote a blog post on why I decided to do it and my advice to others.

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  8. proslijedio/la je Tweet
    29. lis 2019.

    Extremely balanced external blog post about our Rubik’s cube results:

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  9. proslijedio/la je Tweet
    27. lis 2019.

    more videos from Few-shot Video-to-Video Synthesis paper

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  10. proslijedio/la je Tweet
    24. lis 2019.

    "My favorite Gary Marcus quote", via Geoffrey Hinton:)

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  11. proslijedio/la je Tweet
    21. lis 2019.

    Our new work on memory uses a neural network's weights as fast and compressive associative storage. Reading from the memory is performed by approximate minimisation of the energy modelled by the network.

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  12. proslijedio/la je Tweet
    18. lis 2019.
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  13. proslijedio/la je Tweet
    15. lis 2019.

    We've trained an AI system to solve the Rubik's Cube with a human-like robot hand. This is an unprecedented level of dexterity for a robot, and is hard even for humans to do. The system trains in an imperfect simulation and quickly adapts to reality:

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  14. proslijedio/la je Tweet
    27. ruj 2019.

    Approximate mathematical reasoning is possible in the latent space alone. We created semantic embedding of formulas and performed complicated multi-step reasoning on them, then we compared it with the symbolic results:

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  15. proslijedio/la je Tweet
    26. ruj 2019.

    Really enjoyed the (non OpenAI) ICLR submission that trained a transformer on symbolic math. The surprise: it beat Mathematica on symbolic integration and diff eq solving by a _very_ big margin!

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  16. proslijedio/la je Tweet
    25. ruj 2019.
    Odgovor korisniku/ci

    No opinion on favorite or not, but this paper , , & I submitted to NeurIPS'14 was rejected (~2K citations): Distilling the Knowledge in a Neural Network 2/3 said "1: This work is incremental and unlikely to have much impact"

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  17. proslijedio/la je Tweet
    22. ruj 2019.

    Making the Invisible Visible: Action Recognition Through Walls and Occlusions pdf: abs:

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  18. proslijedio/la je Tweet
    15. velj 2019.

    Takeway 1: It’s fine to build giant models that suck tons of information out of a holdout set. It’s really hard to overfit in our standard ML paradigm. (7/10)

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  19. proslijedio/la je Tweet
    17. ruj 2019.

    We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counterstrategies, ultimately using tools in the environment to break our simulated physics:

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  20. proslijedio/la je Tweet
    13. ruj 2019.

    “Sapiens” is a timeless masterpiece. Worth reading this book more than once. Some memorable quotes: “There are no gods, no nations, no money and no human rights, except in our collective imagination.” “Our language evolved as a way of gossiping.”

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  21. proslijedio/la je Tweet
    11. ruj 2019.

    Come work with us! Google is now accepting applications for the 2020 AI Residency Program, Healthcare! Head to for more details about the program. Applications close on Sept 17th, 2019! Questions? Go to

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