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By now, you've probably heard about Gemini Omni, our new model designed to create anything from any input, starting with video.
— Google AI (@GoogleAI) 19 mai 2026
But… what's the big deal?
Letโs break it down ๐งต๐ pic.twitter.com/QbxMNZa2Wx
By now, you've probably heard about Gemini Omni, our new model designed to create anything from any input, starting with video. But… what's the big deal? Letโs break it down
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you are right, RLHF penalties fix the root cause. Until then, these skills is the best runtime defense: hard integrity gates + citation anchors that block unverifiable output.
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> hora de escribir emails frรญos
— SONIA (@S0N_IA_) 19 mai 2026
> bloqueo mental total
> abro Claude
> le explico a quiรฉn le escribo y por quรฉ
> en 30 segundos tengo 3 versiones
> elijo la mejor, la ajusto
> 2 horas de trabajo en 4 minutos https://t.co/CC07qiZiyo pic.twitter.com/Xsq8KPqN3y
> time to write cold emails > total mental block > open Claude > explain to it who I'm writing to and why > in 30 seconds I have 3 versions > pick the best one, tweak it > 2 hours of work in 4 minutes
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Checking out Gemini 3.5 Flash, available today, which helped power Antigravity 2.0, Gemini Spark, and many more! https://
blog.google/innovation-and
-ai/models-and-research/gemini-models/gemini-3-5
โฆ
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Demis Hassabis talks about how Gemini is helping science move towards a golden age of medicine, so that we will soon be able to cure all diseases. I have goosebumps; I couldn't be more excited.
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New release from @PacktDataML at http://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" ๐๐บ๐ฎ๐๐ผ๐ป ๐๐๐บ๐บ๐ฎ๐ฟ๐: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning
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The architecture features Hybrid Linear Attention, Dual-Branch Camera Control, Two-Stage Generation Pipeline, and a Robust Annotation Pipeline. All of this combines for stronger action-following accuracy and higher throughput while maintaining visual quality.
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One image + text + camera trajectory = controllable worlds. All on a single GPU.
— NVIDIA AI (@NVIDIAAI) 19 mai 2026
Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control. pic.twitter.com/oXHRCnCRdM
One image + text + camera trajectory = controllable worlds. All on a single GPU. Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control.
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Thank you Sundar – first I/O and already feeling at home. Gemini 3.5 Flash is genuinely impressive for a model at this price point. The efficiency race is just getting started!
