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@jon_barron
Principal research scientist at Google DeepMind. Synthesized views are my own.
AI
A post introducing beignet says its multiresolution Fourier frequency pyramid brings faster convergence and higher precision for those tasks.
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A user argues VR has been content-limited and that existing games have been too hard to port.
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A user says models wrote a couple hundred lines of Blender Python per scene, arranging cameras, lighting and materials.
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A user says they asked Gemini 4 Argon to improve sacred geometry, then showed off the result from different angles.
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A user says an LLM in a long-running chat seems to assume no time has passed, even when they return days later.
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One commenter recalls that most Gemini spirals they saw were euphoric or “garbage,” but none were sad.
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Arthur Douillard describes work since March to scale reinforcement learning for Gemini, with bug fixes, improvements and more still to build.
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A user says a New York Times piece describes Anthropic quietly bringing in religious thinkers from around the world to help give its AI a moral compass.
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One post praises a computer-made pop-punk song as “heartwrenching and hilarious,” while a reply recalls the emotional pull of a Squidward “Reflection” cover.
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Pop Base says Muse Charm is scheduled to ship in December 2026 and lets people talk to their Muse AI agent without a phone, computer or glasses.
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Atlas generates videos with exact camera control and reconstructs 3D scenes from input images.
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Google DeepMind researcher Jon Barron explains 3D's advantage in physical production tasks over video or intermediate models.
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Google DeepMind researcher Jon Barron posted part two of his talk on vision research.
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Google DeepMind researcher posts video of his workshop talk split into parts for discussion.
