Loading video...

Video Failed to Load

Go Home

Antigravity is only possible because of Gemini 3. We needed a model that could handle: 🧠 Complex Reasoning 👁️ Native Multimodality 🖥️ Computer Use

antigravity's profile picture

Google Antigravity

168,442 subscribers

66,892 views • 7 months ago •via X (Twitter)

EducationScience & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Today we entered the Gemini 3 era, our next step on the path toward AGI. ⚡ Gemini 3 is our most intelligent model that combines capabilities like multimodality, long context and reasoning, so you can bring any idea to life. Explore more of what you can do and build with Gemini 3 🧵⬇️
1:20

Today we entered the Gemini 3 era, our next step on the path toward AGI. ⚡ Gemini 3 is our most intelligent model that combines capabilities like multimodality, long context and reasoning, so you can bring any idea to life. Explore more of what you can do and build with Gemini 3 🧵⬇️

Google

90,789 views • 7 months ago

Today we announced Gemini 2.0, our most capable AI model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.
2:52

Today we announced Gemini 2.0, our most capable AI model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.

Google

137,190 views • 1 year ago

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
0:28

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.

Google AI Developers

47,280 views • 6 months ago

How powerful is Gemini 3.5 Flash? In a recent research preview, we pushed it to the extreme, powering 93 subagents across 15,314 model calls that wrote a custom kernel, filesystem, and drivers from scratch. 12 hours later, it booted Doom. 🖥️ This is just a glimpse of the model's reasoning depth and code generation capabilities. Full breakdown below 👇
2:20

How powerful is Gemini 3.5 Flash? In a recent research preview, we pushed it to the extreme, powering 93 subagents across 15,314 model calls that wrote a custom kernel, filesystem, and drivers from scratch. 12 hours later, it booted Doom. 🖥️ This is just a glimpse of the model's reasoning depth and code generation capabilities. Full breakdown below 👇

Google Antigravity

245,682 views • 1 month ago

Yesterday at #GoogleIO, we introduced Gemini 2.5 Pro Deep Think 🧠, pushing the frontiers of AI reasoning. This enhanced reasoning mode is built to tackle drastically complex problems – like USAMO problems that stumped previous models. Super proud of the GDM team for this one!
0:30

Yesterday at #GoogleIO, we introduced Gemini 2.5 Pro Deep Think 🧠, pushing the frontiers of AI reasoning. This enhanced reasoning mode is built to tackle drastically complex problems – like USAMO problems that stumped previous models. Super proud of the GDM team for this one!

Oriol Vinyals

86,776 views • 1 year ago

.Google DeepMind Gemini 2.5 Pro is really helpful for education. Simply we can turn any idea, concepts into interactive web components! Here is an example for NVIDIA Dynamo. Complex visualization was a technique that only small number of people could handle. Now we all have it.
0:32

.Google DeepMind Gemini 2.5 Pro is really helpful for education. Simply we can turn any idea, concepts into interactive web components! Here is an example for NVIDIA Dynamo. Complex visualization was a technique that only small number of people could handle. Now we all have it.

chansung

30,846 views • 1 year ago

We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.
1:06

We’re expanding the Gemini 3 family with the launch of Gemini 3 Flash. This model: — Combines Gemini 3’s Pro-grade reasoning with Flash-level latency, efficiency, and cost — Delivers frontier-level performance on PHD-level reasoning and knowledge benchmarks — Is our most impressive model for agentic workflows Watch Gemini 3 Flash handle hundreds of function calling options at low latency, compiling global recipes from 100 ingredients and 100 kitchen tools.

Google AI

229,722 views • 6 months ago

Google Antigravity is our new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. It uses Gemini 3 Pro 🧠 to reason about problems, Gemini 2.5 Computer Use 💻 for end-to-end execution, and Nano Banana 🍌 for image generation.
0:48

Google Antigravity is our new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. It uses Gemini 3 Pro 🧠 to reason about problems, Gemini 2.5 Computer Use 💻 for end-to-end execution, and Nano Banana 🍌 for image generation.

Google DeepMind

198,426 views • 7 months ago

Satya Nadella says the 3 capabilities needed for AI agents are now in place and improving exponentially: a universal interface of multimodality; the neural algebra of reasoning and planning; and long-term memory, rich context and tool use
1:09

Satya Nadella says the 3 capabilities needed for AI agents are now in place and improving exponentially: a universal interface of multimodality; the neural algebra of reasoning and planning; and long-term memory, rich context and tool use

Tsarathustra

69,091 views • 1 year ago

🧠 Chat with Reasoning A few days ago the DeepSeek team released a LLM model with reasoning in various sizes. This we show is an example of 1bl that can run on machines with low GPU power like a mobile, but have enough power to answer complex questions. With these advanced models it is possible to link it with #IoT equipment to control information and use it in advanced control environments. All this under Open Source models and decentralized networks such as #Neurai #XNA $XNA #DeepSeek #Reasoning #AIchat
0:20

🧠 Chat with Reasoning A few days ago the DeepSeek team released a LLM model with reasoning in various sizes. This we show is an example of 1bl that can run on machines with low GPU power like a mobile, but have enough power to answer complex questions. With these advanced models it is possible to link it with #IoT equipment to control information and use it in advanced control environments. All this under Open Source models and decentralized networks such as #Neurai #XNA $XNA #DeepSeek #Reasoning #AIchat

NeurAI Project / XNA

17,691 views • 1 year ago

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.
3:02

GPT-5.4 is here. Native computer-use capabilities. Up to 1M tokens of context in Codex and the API. Best-in-class agentic coding for complex tasks. Scalable tool search across larger ecosystems. More efficient reasoning for long, tool-heavy workflows.

OpenAI Developers

1,074,161 views • 4 months ago

Engineering isn’t just about faster typing; it’s about better thinking. Our team is excited to showcase Gemini 3.1 Pro, our best model for systemic reasoning. Watch as the model handles a complex "Legacy Sync" migration, not by just writing functions, but by identifying architectural risks. That’s the difference between a chatbot and an engineering partner.
1:29

Engineering isn’t just about faster typing; it’s about better thinking. Our team is excited to showcase Gemini 3.1 Pro, our best model for systemic reasoning. Watch as the model handles a complex "Legacy Sync" migration, not by just writing functions, but by identifying architectural risks. That’s the difference between a chatbot and an engineering partner.

Google Antigravity

124,073 views • 4 months ago

Papers With Code SOTA is back 🚀 We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted
0:36

Papers With Code SOTA is back 🚀 We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted

alphaXiv

17,856 views • 7 months ago

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.
1:12

Antigravity's computer use has also been massively upgraded with Gemini 3 Flash. It is both faster and better at doing long agentic tasks using the browser. Here's Antigravity doing deep research on the Pareto frontier of models and writing code to visualize the result.

Varun Mohan

156,937 views • 6 months ago

Here's a teaser of our Mac-1 model. > 6.6B model > runs locally (on any Mac) > requires 7GB RAM (12GB ideal) > can use 487 MacOS native tools > perform multi-tool chained tasks > reasoning: ON > output: ~65 tok/s We built a robust application layer around the model to make UI/UX MacOS native. The "model-focused" SaaS era is here. Stay tuned for more.
1:27

Here's a teaser of our Mac-1 model. > 6.6B model > runs locally (on any Mac) > requires 7GB RAM (12GB ideal) > can use 487 MacOS native tools > perform multi-tool chained tasks > reasoning: ON > output: ~65 tok/s We built a robust application layer around the model to make UI/UX MacOS native. The "model-focused" SaaS era is here. Stay tuned for more.

CJ Zafir

1,059,799 views • 1 month ago

Let’s talk about Gemini 3 Pro. There’s really no other way to say it. The benchmarks are incredible. The jump was dramatic – much more than most people expected. Anew agentic development platform named Antigravity was also launched today. Essentially, it’s a full VS Code fork, which will disappoint some – but with Gemini 3 Pro built directly into it. Now, it will take a few days for the developer community to determine whether it outperforms Cursor and some of the other IDEs. But the advantages that Antigravity has, is that it’s coupled with Gemini 3 Pro (SOTA) Gemini 2.5 Computer Use and Nano Banana for rich media generation. Excited to dive deeper into the Gemini 3 Pro launch. A LOT to unpack today.
1:37

Let’s talk about Gemini 3 Pro. There’s really no other way to say it. The benchmarks are incredible. The jump was dramatic – much more than most people expected. Anew agentic development platform named Antigravity was also launched today. Essentially, it’s a full VS Code fork, which will disappoint some – but with Gemini 3 Pro built directly into it. Now, it will take a few days for the developer community to determine whether it outperforms Cursor and some of the other IDEs. But the advantages that Antigravity has, is that it’s coupled with Gemini 3 Pro (SOTA) Gemini 2.5 Computer Use and Nano Banana for rich media generation. Excited to dive deeper into the Gemini 3 Pro launch. A LOT to unpack today.

Roberto Nickson

60,506 views • 7 months ago

What’s the point of a “helpful assistant” if you have to always tell it what to do next? In a new paper, we introduce a reasoning model that predicts what you’ll do next over long contexts (LongNAP 💤). We trained it on 1,800 hours of computer use from 20 users. 🧵
0:29

What’s the point of a “helpful assistant” if you have to always tell it what to do next? In a new paper, we introduce a reasoning model that predicts what you’ll do next over long contexts (LongNAP 💤). We trained it on 1,800 hours of computer use from 20 users. 🧵

Omar Shaikh

124,059 views • 4 months ago

Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."
1:47

Standard Intelligence's devansh responds to roon's tweet that "text is the universal interface," and explains why their new foundation model is trained on video: "At some point in the arbitrarily long future, if we only use text models, we could force most things to be text. But I think there are just a lot of things that are much more native when done from a computer-use [perspective]." "GUIs are designed for humans to use. We have this massive long tail of things on the internet that are entirely undoable by LLMs." "For example, when I do ML engineering most of my time is spent doing the grunt work of engineering. It's a lot of looking at graphs, analyzing, and comparing loss curves. You can do this in text, but it's a much larger pain than doing it in the native interface." "There's a reason humans don't interact with a computer purely through text, it would kind of suck."

TBPN

64,281 views • 4 months ago

Today we’re taking a big step on the path toward AGI and releasing Gemini 3— our most intelligent model yet. With Gemini 3, you can bring any idea to life. It is state-of-the-art in reasoning, the best model in the world for multimodal understanding, and our best agentic and vibe coding model.
0:51

Today we’re taking a big step on the path toward AGI and releasing Gemini 3— our most intelligent model yet. With Gemini 3, you can bring any idea to life. It is state-of-the-art in reasoning, the best model in the world for multimodal understanding, and our best agentic and vibe coding model.

Google AI

492,853 views • 7 months ago

🚨 BREAKING NEWS - Abacus CoWork brings Claude, GPT 5.4 And Gemini To Your Laptop! Super excited to announce our MULTI-MODEL CoWork product! - combine the coding power of Opus with the reasoning prowess of GPT 5.4 - optimized for efficiency using "low effort" mode - computer use to tes - packaged for FREE with ChatLLM and Abacus AI's Deep Agent Get complex tasks done right on your laptop
0:55

🚨 BREAKING NEWS - Abacus CoWork brings Claude, GPT 5.4 And Gemini To Your Laptop! Super excited to announce our MULTI-MODEL CoWork product! - combine the coding power of Opus with the reasoning prowess of GPT 5.4 - optimized for efficiency using "low effort" mode - computer use to tes - packaged for FREE with ChatLLM and Abacus AI's Deep Agent Get complex tasks done right on your laptop

Bindu Reddy

15,653 views • 3 months ago