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Astonishingly, no known machine learning system can reliably tell a *bird* from a *bicycle* when there’s an adversary involved. My colleagues and I have proposed a contest to see if we can change this. https://ai.googleblog.com/2018/09/introducing-unrestricted-adversarial.html …pic.twitter.com/bb1EcSSWaD
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(Photo above is "The Theatre of Disappearance” by Adrián Villar Rojas)
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For the last few months, http://display.land has been turning my phone into a fancy 3D scanner. Now lets you edit scans too https://medium.com/@ubiquity_6/meet-the-display-land-studio-e4c7bc503d2b … I have a strange love of remixed classical sculptures, and this is one step closer to making my own. HT
@AnjneyMidhapic.twitter.com/1sKc8Bac2ZOvo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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I now suspect that I have worked with several spies
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In 1944, the CIA distributed a Simple Sabotage Field Manual with instructions for discretely making organizations less effective. Useful lens for noticing where organizations can become unintentionally self-sabotaging. HT
@Hernandez_Dannypic.twitter.com/zbki0J9K4kOvo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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OpenAI is hiring a Head of Security: https://jobs.lever.co/openai/917ad50d-176d-43ec-a50b-4d218c584147 … This is one of the most important hires for OpenAI to make correctly if we want to succeed in having a positive impact on the world. Ping me if you know of folks that might be a good fit - I'm tom@openai.com
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Tom Brown proslijedio/la je Tweet
Excited to share our work: collaboration requires understanding! In Overcooked, self-play doesn't gel with humans: it expects them to play like itself. (1/4) Demo: https://humancompatibleai.github.io/overcooked-demo/ … Blog: https://bair.berkeley.edu/blog/2019/10/21/coordination/ … Paper: https://arxiv.org/abs/1910.05789 Code: https://github.com/HumanCompatibleAI/overcooked_ai …pic.twitter.com/lqbzeTwoqr
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I was lucky enough to work with Colin as I was starting out in ML research. For anyone who's interested in doing a PhD
@unccs, I highly recommend talking with him. Congrats, Prof Raffel!https://twitter.com/colinraffel/status/1194345369070555137 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
No giraffes were in the training set for this hand. The model was just trained on TONS of random environments, so instead of memorizing solutions to specific envs, the easiest things for the model to do was to figure out a general strategy (which included giraffe resistance!).https://twitter.com/OpenAI/status/1184145789754335232 …
0:07Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This stuffed-giraffe-resistant hand from my roboticist friends at
@openai brings joy to my heart. Problem: Deep learning has trouble generalizing outside the training set. Solution: Put WAY MORE STUFF in the training set.https://twitter.com/OpenAI/status/1184145789754335232 …
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Stuart Russell points to fossil-fuel mega-corporations as examples of powerful and misaligned entities that we built. Corporations were designed to maximize shareholder value, but in this case they worked to outsmart and manipulate the rest of humanity. https://www.facebook.com/yann.lecun/posts/10156248637927143?comment_id=10156250911847143 …pic.twitter.com/Wyppleza6u
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Yoshua Bengio working hard to moderate an impromptu debate on AI value alignment on
@ylecun's FB wall. Fascinating thread. https://www.facebook.com/yann.lecun/posts/10156248637927143?comment_id=10156250911847143 …pic.twitter.com/01BCgrGKPCOvo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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Tom Brown proslijedio/la je Tweet
I couldn't be more excited to be running the AI Fellowship program for the 3rd year - it's my primary priority in my work at
@open_phil and I'm very passionate about it! If you have any Qs, please just ask! Many of the current fellows are also on twitter, and very friendly :)https://twitter.com/open_phil/status/1174447178808344576 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This lit review from
@j_asminewang points out three core questions in progress studies. Fields can be defined by their questions or by the tools used to answer questions. Curious what tools will be developed to answer these questions on progress. https://jasminew.me/post/progress/ pic.twitter.com/TxM8iLh4X9Ovo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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Also a reminder of my favorite definition of an adversarial example, via
@goodfellow_ian: "Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake."https://openai.com/blog/adversarial-example-research/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This builds on a long line of research into the question of "what sort of adversarial robustness should we care about?", and we owe a large debt to
@jmgilmer and@DanHendrycks for their work on this topic. 2/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Most adversarial robustness work focuses on the L_inf and L_2 perturbation attacks (red box in the grid below). The new UAR metric lets researchers test their defenses on a much wider range of attacks and see which defenses give broad benefits and which do not. 1/ https://twitter.com/OpenAI/status/1164565192363008000 …pic.twitter.com/yN0ro515Bd
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Learning Day fills my heart with green fluorescent joy.



https://twitter.com/OpenAI/status/1156954537837465600 …pic.twitter.com/Uf6Jr0anFJOvo je potencijalno osjetljiv multimedijski sadržaj. Saznajte više
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Learning Day! Today I'll be learning about GPU kernel programming by going through the Numba tutorials and writing some CUDA kernels from scratch.


<= my kernelshttps://twitter.com/jackclarkSF/status/1156955946880393217 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Learning Day rules!!

People post what they're learning in Slack, and if there are others who are interested then we can learn together.
We often learn faster together because each person knows a different piece of the full story.https://twitter.com/OpenAI/status/1156954537837465600 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
cc tweeps who build stuff quickly:
@karpathy,@catherineols,@jeremyphoward,@Thom_Wolf,@hardmaru,@goodfellow_ian,@soumithchintala,@D_Berthelot_ML,@josh_tobin_ ,@mcleavey and@AlecRad.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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