Jurgis Pasukonis

23 posts

Jurgis Pasukonis

Jurgis Pasukonis

@jurgisp

Building intelligence

London Katılım Mayıs 2009
181 Takip Edilen278 Takipçiler
Jurgis Pasukonis retweetledi
Danijar Hafner
Danijar Hafner@danijarh·
Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan
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Jurgis Pasukonis
Jurgis Pasukonis@jurgisp·
Awesome to see model based RL to get the recognition 👏 Predicting text is not everything, AI needs to learn how the actual world works! It's been an honour to take part in the project, and I can't wait to see where Dreamer goes from here!
Danijar Hafner@danijarh

Excited to share that DreamerV3 has been published in Nature! Dreamer solves control tasks by imagining the future outcomes of its actions inside of a continuously learned world model 🌏 It's the first agent to find diamonds in Minecraft from scratch without human data! 💎 👇

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william
william@wgussml·
🚀 The first realtime AI that pilots your desktop is here: Ace Excited to share what I've been helping build at @GeneralAgentsCo over the past few months Read on ⬇️
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Sherjil Ozair
Sherjil Ozair@sherjilozair·
Today I'm launching my new company @GeneralAgentsCo and our first product. Introducing Ace: The First Realtime Computer Autopilot Ace is not a chatbot. Ace performs tasks for you. On your computer. Using your mouse and keyboard. At superhuman speeds!
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Jurgis Pasukonis
Jurgis Pasukonis@jurgisp·
US O1A visa approved! 🇺🇸 Thanks to @lighthousehq_ that was much faster and less effort than I expected, they just took care of everything 🙏
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Danijar Hafner
Danijar Hafner@danijarh·
🌎 Excited to share a major update of the DreamerV3 agent! A couple of smaller changes, more benchmarks, and substantially improved performance. 👇 Main differences from our earlier preprint:
Danijar Hafner tweet media
Danijar Hafner@danijarh

Excited to announce DreamerV3 🌍, a scalable and general RL algorithm that masters a wide range of applications with fixed hyperparameters! Applied out of the box, it solves the Minecraft Diamond challenge without human data. 💎 👇 Thread twitter.com/DeepMind/statu…

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Konrad Żołna
Konrad Żołna@konradzolna·
Gather-Attend-Scatter (GATS), a novel module that combines pretrained foundation models operating at different rates into larger multimodal networks. Paper: arxiv.org/abs/2401.08525
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Stas Bekman
Stas Bekman@StasBekman·
I have started working on a new guide, called The Art of Debugging which is a brain dump based on almost 3 decades of developing software. So far I have the initial draft of the first chapter: Fast Debugging Methodology github.com/stas00/the-art… A lot more to come... I hope you will find it useful and thank you for reading!
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Jurgis Pasukonis
Jurgis Pasukonis@jurgisp·
@realGeorgeHotz @ESYudkowsky I sincerely hope you have a better one. Like, expand on why your tinybox pal will basically be on your side, and defense stronger than offense, to make a somewhat stable system.
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Dan Hendrycks
Dan Hendrycks@hendrycks·
We just put out a statement: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.” Signatories include Hinton, Bengio, Altman, Hassabis, Song, etc. safe.ai/statement-on-a… 🧵 (1/6)
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Jeffrey Ladish
Jeffrey Ladish@JeffLadish·
This document leaked from Google has been gaining attention. Unfortunately it's wrong and right in major ways that should make us seriously reflect on what we're creating Yes open source models are a huge deal but more open sourcing is NOT the solution semianalysis.com/p/google-we-ha…
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Danijar Hafner
Danijar Hafner@danijarh·
Excited to announce DreamerV3 🌍, a scalable and general RL algorithm that masters a wide range of applications with fixed hyperparameters! Applied out of the box, it solves the Minecraft Diamond challenge without human data. 💎 👇 Thread twitter.com/DeepMind/statu…
Google DeepMind@GoogleDeepMind

Introducing DreamerV3: the first general algorithm to collect diamonds in Minecraft from scratch - solving an important challenge in AI. 💎 It learns to master many domains without tuning, making reinforcement learning broadly applicable. Find out more: dpmd.ai/dreamerv3

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Google DeepMind
Google DeepMind@GoogleDeepMind·
Introducing DreamerV3: the first general algorithm to collect diamonds in Minecraft from scratch - solving an important challenge in AI. 💎 It learns to master many domains without tuning, making reinforcement learning broadly applicable. Find out more: dpmd.ai/dreamerv3
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Jurgis Pasukonis
Jurgis Pasukonis@jurgisp·
@RousslanDossa @danijarh @countzerozzz We don't have action repeats, instead, there is a "control frequency" parameter, which sets how often the underlying MuJoCo actuators are controlled. We use 4 Hz for the benchmark.
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Danijar Hafner
Danijar Hafner@danijarh·
Current RL algorithms still struggle under partial observability, which is common e.g. in real 3D environments. Excited to introduce the Memory Maze benchmark, carefully designed for evaluating long-term memory of RL algorithms! 🏠🤖🚀 @jurgisp @countzerozzz
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Keşfet

@wilson1yan @GeneralAgentsCo @BenHolfeld @lighthousehq_ @realGeorgeHotz @ESYudkowsky @elonmusk @BarackObama