The progress from 2.5 to 3.1 has been super strong! Excited to see this much improvement for a Flash model. Learn more in our blog: https://
blog.google/innovation-and
-ai/models-and-research/gemini-models/gemini-3-1-flash-tts/
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RESEARCH
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Google Gemini 3.1 Flash Shows Strong Progress on TTS
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Habitat-GS: High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
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Habitat-GS
— AK (@_akhaliq) 15 avril 2026
A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
paper: https://t.co/pMpYxXukh7 pic.twitter.com/n7UyazeDgeHabitat-GS A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting paper: https://
huggingface.co/papers/2604.12
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Internal AI Models Far Ahead of Public Releases
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We don't have Mythos. The internal models of Google, OpenAI and Anthropic are substantially ahead of what the public gets to use. The important question is whether dissemination stops.
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Nvidia Releases Lyra 2.0 for Generative 3D Worlds
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Nvidia released Lyra 2.0 on Hugging Face
— AK (@_akhaliq) 15 avril 2026
Explorable Generative 3D Worlds
paper: https://t.co/HcxsBD2yEh
model: https://t.co/bC32ADfvDS pic.twitter.com/RwdR7DUEcYNvidia released Lyra 2.0 on Hugging Face Explorable Generative 3D Worlds paper: https://
huggingface.co/papers/2604.13
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Rethinking On-Policy Distillation of Large Language Models Research
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Rethinking On-Policy Distillation of Large Language Models Phenomenology, Mechanism, and Recipe paper: https://
huggingface.co/papers/2604.13
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KnowRL Boosts LLM Reasoning via Reinforcement Learning with Knowledge Guidance
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KnowRL Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance paper: https://
huggingface.co/papers/2604.12
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ClawGUI: Unified Framework for Training and Deploying GUI Agents
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ClawGUI
— AK (@_akhaliq) 15 avril 2026
A Unified Framework for Training, Evaluating, and Deploying GUI Agents
paper: https://t.co/VPMTifMWGK pic.twitter.com/xISqw6h3pQClawGUI A Unified Framework for Training, Evaluating, and Deploying GUI Agents paper: https://
huggingface.co/papers/2604.11
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Continuous Adversarial Flow Models New Research Paper
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Continuous Adversarial Flow Models paper: https://
huggingface.co/papers/2604.11
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Training LLMs on AI outputs risks model degradation
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What can happen when LLM models are trained on AI outputs? A potential hidden, bad influence https://
nature.com/articles/d4158
6-026-00906-0
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GPT-5.4 Pro Discovers Novel Mathematical Opening Strategy
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More on GPT-5.4 Pro’s latest mathematical contribution: “The closest analogy I would give would be that the main openings in chess were well-studied, but AI discovers a new opening line that had been overlooked based on human aesthetics and convention.”