sendbitcoinson Hacker News • Recommends
On “Ask HN: What interesting stuff are you browsing?”
"Two Minute Papers" link to this video GTC 2020 Part 2 was pretty good link Mostly I'm in a rut as well
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#openai#reinforcementlearning#multi-agent
OpenAI Plays Hide and Seek…and Breaks The Game! 🤖
Two Minute Papers
1.8M subscribers • 14 videos on Hallway
- Recommended by 2 people: 2 on Hacker News.
- Linked in the descriptionPaper on nature.com
- May be out of date. Uploaded 7 years ago, in an area where tools change fast.
Beginner. No background in the topic needed.
10M views7 years ago2 recommendations
AI and machine learningGame developmentReinforcement learningAI agents and tool useNeural networks and deep learning
How OpenAI's multi-agent reinforcement learning agents learned emergent tool use and found ways to break the game's rules.
❤️ Check out Weights & Biases here and sign up for a free demo: wandb.com/papers ❤️ Their blog post is available here: wandb.com/articles/better-paths-through-idea-space 📝 The paper "Emergent Tool Use from Multi-Agent Interaction" is available here: openai.com/blog/emergent-tool-use/ My latest paper on simulations that look almost like reality is available for free here: rdcu.be/cWPfD Or this is the orig. Nature Physics link with clickable citations: nature.com/articles/s41567-022-01788-5 ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - patreon.com/TwoMinutePapers - youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Bryan Learn, Christian Ahlin, Claudio Fernandes, Daniel Hasegan, Dennis Abts, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, James Watt, Javier Bustamante, John De Witt, Kaiesh Vohra, Kasia Hayden, Kjartan Olason, Levente Szabo, Lorin Atzberger, Lukas Biewald, Marcin Dukaczewski, Marten Rauschenberg, Matthias Jost,, Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Nader Shakerin, Owen Campbell-Moore, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil. patreon.com/TwoMinutePapers Splash screen/thumbnail design: Felícia Fehér - felicia.hu Intro Start - Pandemonium! A little learning But then - something happened! They learned what?! It gets even weirder Amazing teamwork More interesting behaviors Extensions More stuff from the paper Károly Zsolnai-Fehér's links: Instagram: instagram.com/twominutepapers/ Twitter: twitter.com/twominutepapers Web: cg.tuwien.ac.at/~zsolnai/ #OpenAIWhy it's here
2 people recommend thisWhat people say. Recommended as a fun and fascinating demonstration of unexpected AI behaviors and emergent strategy.
SatvikBerion Hacker News • Recommends
On “Medical chatbot using OpenAI’s GPT-3 told a fake patient to kill themselves”
Two minute papers has many fun examples of AIs with unexpected behavior, OpenAI's hide and seek is one of my favorites: link to this video
montenegrohugoon Hacker News • Mentions
On “Self-supervised learning: The dark matter of intelligence”
One of the problems we have to be conscious about with self supervised learning is that the already existing problem of transparency and understandability gets worsened by orders of magnitude. If current billion parameter models are opaque, the result of SSL is, or will be, the equivalent of a black hole. How do you understand what the model has learned? Why has it learned that way? What things could have possible gone completely, horribly wrong in its quest to optimize its loss function? This somewhat humorous but also worrying paper comes to mind: link to this video I think we really need to consider how we can mitigate the risk of raising completely ununderstandable yet scarily capable machines.
u/BrisketSundaein r/compsci • Mentions
On “What else to learn while working on Computersci degree?”
My attitude is always: learn something you know nothing about.
I really loved this kind of stuff, for instance- link to this video