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Randomly came across a tool called ResearchStudio that automatically creates videos for papers. Found it interesting so gave it a try for my recent preprint with Google on how SFT reasoning diversity impacts post-RL gains. Google

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Dylan Zhang

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15,055 görüntüleme • 26 gün önce •via X (Twitter)

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Lecture 10 of my course! Nominally on regularization in RL, so I discuss the evolving role of the KL penalty in RL, but also a set of nice RL papers that explain what RL helps models generalize better than SFT -- with theory supporting it. When going through these, it's so interesting how seasonal problems in ML are. Lots of problems from controlling reward models overopt will rhyme as we try to control rubrics for agents. 00:00 Intro & the role of regularization 02:50 The KL penalty in RL 10:53 RL as a reverse KL loss 21:09 Why RL generalizes better than SFT 25:15 Other regularization tools Just a few videos left as I get to the end of the course. Thanks all, and keep sending questions. Spread the word if you have a second.
31:33

Lecture 10 of my course! Nominally on regularization in RL, so I discuss the evolving role of the KL penalty in RL, but also a set of nice RL papers that explain what RL helps models generalize better than SFT -- with theory supporting it. When going through these, it's so interesting how seasonal problems in ML are. Lots of problems from controlling reward models overopt will rhyme as we try to control rubrics for agents. 00:00 Intro & the role of regularization 02:50 The KL penalty in RL 10:53 RL as a reverse KL loss 21:09 Why RL generalizes better than SFT 25:15 Other regularization tools Just a few videos left as I get to the end of the course. Thanks all, and keep sending questions. Spread the word if you have a second.

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Came across this early iteration of Thief while editing. Found it interesting so I'm posting here for posterity. Source is a German gaming publication called PC Games magazine reporting on E3 1997.
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Came across this early iteration of Thief while editing. Found it interesting so I'm posting here for posterity. Source is a German gaming publication called PC Games magazine reporting on E3 1997.

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Here’s how to go Live with Search. Try it out today in the Google app for Android and iOS.
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Video understanding isn't just recognizing —it demands reasoning across thousands of frames. Meet Long-RL🚀 Highlights: 🧠 Dataset: LongVideo-Reason — 52K QAs with reasoning. ⚡ System: MR-SP - 2.1× faster RL for long videos. 📈 Scalability: Hour-long videos (3,600 frames) RL on a single node (8×A100s). 🖼️📝🎵 RL training for video, text, audio — works with VILA, Qwen series, and image/video generation models 🎨🎬 📄 Paper: 🎥 Demo: 💻 Code:
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Video understanding isn't just recognizing —it demands reasoning across thousands of frames. Meet Long-RL🚀 Highlights: 🧠 Dataset: LongVideo-Reason — 52K QAs with reasoning. ⚡ System: MR-SP - 2.1× faster RL for long videos. 📈 Scalability: Hour-long videos (3,600 frames) RL on a single node (8×A100s). 🖼️📝🎵 RL training for video, text, audio — works with VILA, Qwen series, and image/video generation models 🎨🎬 📄 Paper: 🎥 Demo: 💻 Code:

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Tomorrow, we’re releasing a small but mighty feature that moves us closer to... A ✨Post-Google✨ Internet Now Arc will automatically suggest @ChatGPTapp — instead of Google — for certain search queries. Why is this such a big deal, and what does it tease about our future?

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How can we get VLMs to move their eyes—and reason step-by-step in visually grounded ways? 👀 We introduce ViGoRL, a RL method that anchors reasoning to image regions. 🎯 It outperforms vanilla GRPO and SFT across grounding, spatial tasks, and visual search (86.4% on V*). 👇🧵
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How can we get VLMs to move their eyes—and reason step-by-step in visually grounded ways? 👀 We introduce ViGoRL, a RL method that anchors reasoning to image regions. 🎯 It outperforms vanilla GRPO and SFT across grounding, spatial tasks, and visual search (86.4% on V*). 👇🧵

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With Google Flow Tools, you can now use natural language to create bespoke tools and workflows. In this video, you'll see how you can: ➡️ Explore and try the various Tools within Google Flow ➡️ Remix a tool to make it even more relevant for your unique workflow ➡️Create your own tool from scratch with a natural language prompt ➡️ Share your tools with a friend for them to try out Whether you’re looking for an image editor, video resizer or custom shaders, you can now create them in Google Flow, no coding experience required.
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BREAKING: You can now build your own video game with Google. Google's new AI tool, Playground, creates playable games without writing a single line of code. You can even change the game by simply typing what you want. Here's how to try it:
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We integrated Gemini Omni 1.1 Flash and a new suite of creative controls into so anyone with a Google account can now create in Google Vids for free. Here's how you can use it to create videos — without needing professional editing skills.🧵↓
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We are back with a new episode of What's New in Google Accessibility. This update covers recent features for Android , Google Pixel , YouTube , Chrome, and Google Gemini that help make our products more accessible. Watch the video for the details. #GoogleAccessibility #Accessibility #Google #a11y Google

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Interviewed at Google for 6.5 months. 6 rounds. Every round was a diagnostic, not a gate. Google didn’t give me the job. It gave me the standard.
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