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  1. Prikvačeni tweet
    4. stu 2016.

    You didnt see it’s coming? "Dawn of hardened Windows Kernel" - slides from are up at :

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  2. proslijedio/la je Tweet
    23. sij

    Q-learning is difficult to apply when the number of available actions is large. We show that a simple extension based on amortized stochastic search allows Q-learning to scale to high-dimensional discrete, continuous or hybrid action spaces:

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  3. proslijedio/la je Tweet

    Holy crap, this is incredible: A dog playing Jenga. Turn-taking, fine motor control, apparent understanding of the aim of the game. I would not have guessed a dog could do this.

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  4. proslijedio/la je Tweet
    23. pro 2019.

    I was curious what assembly code produces both in debug and release mode, so I wrote a blog post about it. If you want to learn more about assembly and Rust give it a look!

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  5. proslijedio/la je Tweet
    18. pro 2019.

    Rust friends. Lets talk about async-std and tokio. There is a (relatively) polite cold war happening, and I'm pretty sure it's bad for all of us. Tokio paved a ridiculous amount of ground in the rust/async ecosystem, and it's been on a steady climb of improvement.

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  6. proslijedio/la je Tweet
    18. pro 2019.

    Introducing Generative Teaching Networks, which generate entirely synthetic data that is up to 9x faster to train on than real data!, enabling state-of-the-art Neural Architecture Search Led by w ,, & 1/

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

    Here is an exploit chain I wrote for Firefox that gets RCE via CVE-2019-9810 and escape the sandbox with CVE-2019-11708/CVE-2019-9810. Once compromised, it drops a payload and injects privileged JS code in already/newly created tabs.

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  8. proslijedio/la je Tweet
    4. pro 2019.

    Very excited about my new paper! We formulate the on-policy max-return RL objective w.r.t *arbitrary* offline data and without *any* explicit importance correction. Amazingly, the gradient of the objective w.r.t pi is exactly the on-policy policy gradient!

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  9. proslijedio/la je Tweet
    13. stu 2019.

    Applying Timeless Analysis to the recent CVE-2019-1347: When a mouse over a file is enough to crash your system. Read our analysis and get your hands on the trace on our new demo platform.

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  10. proslijedio/la je Tweet
    15. stu 2019.

    (video) Hunting For Bugs, Catching Dragons - Nicolas Joly

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  11. proslijedio/la je Tweet

    More on Office app guard internals and how we secure it. At 21 minutes there is a full exploit chain/app guard escape from OSR team. Having an internal team of exploit ninjaz gives us confidence

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  12. proslijedio/la je Tweet

    In the next installment of our series on using Semmle QL for vulnerability hunting, shows how to research DOM-based XSS by finding sources and sinks.

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  13. proslijedio/la je Tweet
    6. stu 2019.

    Nice new article on novelty search, QD, open-ended algos, and AI-generating algorithms, including connections to Go-Explore, AlphaStar, IT&E, & more. Thanks for writing it and to , , & for nice comments.

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  14. proslijedio/la je Tweet

    Global team of 11,000 scientists urges people to eat less meat and more plants to fight climate emergency:

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  15. proslijedio/la je Tweet
    4. stu 2019.

    This took a lot of work from many teams but the day is finally here! Proud to announce Application Guard for Office. I'll be demoing it at this week. shout out to and all the folks who worked to make this real!

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  16. proslijedio/la je Tweet

    ASan support for MSVC, congrats to everyone who made it possible

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  18. proslijedio/la je Tweet

    🌱💪🏼 REACH YOUR TRUE POTENTIAL! _ The science is becoming clear: Athletes really aren't hitting their true potential until they adopt a plant-based diet and eliminate animal products. Here's why: _ 1️⃣ Even athletes are at risk for heart disease: In one s…

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  19. proslijedio/la je Tweet

    My new paper is out! We show a framework in which we can both derive and gradient penalized ! We also show how to make better gradient penalties!

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  20. proslijedio/la je Tweet
    16. lis 2019.

    Finally, Transformers working for RL! Two simple modifications: move layer-norm and add gating creates GTrXL: an incredibly stable and effective architecture for integrating experience through time in RL. Great work from Emilio interning at

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  21. 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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