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Introducing /boost in Google Antigravity. The Antigravity harness can tackle a wide range of tasks right out of the box, but /boost helps if you are tackling particularly complex tasks and are willing to spend some more tokens to push the system to reason deeply about the challenge at...

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Google Antigravity

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182,505 просмотров • 2 дней назад •via X (Twitter)

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You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.
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You can decide how much autonomy you give to the agent in Google Antigravity Drop asynchronous feedback within artifacts and the agent folds it in when the time is right.

Google Antigravity

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We’re introducing Gemini 3.8 Flash ⚡️ built to tackle complex agentic and multi-step tasks with even greater diligence. Our most intelligent workhorse model yet delivers significant improvements in reasoning, evolving to an AI partner that doesn’t just write code, but can also navigate complex projects. While solving ambiguous and high-friction tasks is immensely helpful, it can also be expensive. Fortunately, 3.8 Flash features the usual effort controls, ensuring that the amount of thinking required to accomplish the task at hand is proportional to the tokens spent. Watch Gemini 3.8 Flash combine native video understanding with advanced coding to autonomously build this 3D game, play it to find errors, and execute code changes in a seamless agentic loop in Google Antigravity.
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We’re introducing Gemini 3.8 Flash ⚡️ built to tackle complex agentic and multi-step tasks with even greater diligence. Our most intelligent workhorse model yet delivers significant improvements in reasoning, evolving to an AI partner that doesn’t just write code, but can also navigate complex projects. While solving ambiguous and high-friction tasks is immensely helpful, it can also be expensive. Fortunately, 3.8 Flash features the usual effort controls, ensuring that the amount of thinking required to accomplish the task at hand is proportional to the tokens spent. Watch Gemini 3.8 Flash combine native video understanding with advanced coding to autonomously build this 3D game, play it to find errors, and execute code changes in a seamless agentic loop in Google Antigravity.

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123,663 просмотров • 10 часов назад

We’ve built a new way to ship software: Agent Teams in Antigravity. Just run /teamwork-preview to spin up a dynamic team of specialized subagents. They coordinate in the background to plan, build, and verify complex engineering tasks in parallel.
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We’ve built a new way to ship software: Agent Teams in Antigravity. Just run /teamwork-preview to spin up a dynamic team of specialized subagents. They coordinate in the background to plan, build, and verify complex engineering tasks in parallel.

Google Antigravity

290,680 просмотров • 1 месяц назад

We’re thrilled to announce the Antigravity CLI, a lightweight way to spin up the same Antigravity agents right from the terminal. 💻 It gives you the exact same harness and same models, with a product experience tailored for the command line. It adapts entirely to you: your keybindings, your themes, your workflows. Learn how to get started with the Antigravity CLI: 👇
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We’re thrilled to announce the Antigravity CLI, a lightweight way to spin up the same Antigravity agents right from the terminal. 💻 It gives you the exact same harness and same models, with a product experience tailored for the command line. It adapts entirely to you: your keybindings, your themes, your workflows. Learn how to get started with the Antigravity CLI: 👇

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Introducing Antigravity 2.0, a new standalone desktop application that delivers fully on that original glimpse of a truly agent-optimized experience. Rebuilt from the ground up with multi-agent teams, scheduled tasks, native voice and one-click integration with other Google products. Learn how to get started with Antigravity 2.0 👇
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Google really changed the game... Antigravity is just insane. But most people don't know how to use it In these 33 mins, you'll learn everything you need to know about Antigravity
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174,223 просмотров • 7 месяцев назад

Antigravity is a development platform. While the core users are software developers, more and more professionals have become builders! The primitives of Antigravity make it a powerful thought partner for a whole host of other fields, like marketing. Watch Patrick Thomas, Exec & Internal Comms Advisor at Google, explain how he uses skills and personal context to teach Antigravity his specific writing style, pitch new creative ideas, and automate draft creation.
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Google Antigravity

82,042 просмотров • 2 месяцев назад

Start a conversation in Antigravity and pick up where you left off in Antigravity CLI 💫 As of yesterday's v1.0.4 release of the CLI you can now easily resume your sessions from Google Antigravity ! Just run /resume and then tab over to the Antigravity tab to see and import your conversations. 🪄
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Start a conversation in Antigravity and pick up where you left off in Antigravity CLI 💫 As of yesterday's v1.0.4 release of the CLI you can now easily resume your sessions from Google Antigravity ! Just run /resume and then tab over to the Antigravity tab to see and import your conversations. 🪄

Jack Wotherspoon

68,197 просмотров • 3 месяцев назад

So Google has just released the best model in the world?! Gemini 3.1 Pro is already available in: → Gemini App → Antigravity → Google AI Studio And it has insane capabilities when it comes to complex tasks and coding! (Roughly 2x cheaper than Opus 4.6 btw)
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So Google has just released the best model in the world?! Gemini 3.1 Pro is already available in: → Gemini App → Antigravity → Google AI Studio And it has insane capabilities when it comes to complex tasks and coding! (Roughly 2x cheaper than Opus 4.6 btw)

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Meet Google Antigravity, your new agentic development platform. An evolution of the IDE, it's built to help you: - Orchestrate agents operating at a higher, task-oriented level - Run parallel tasks with agents across workspaces - Build anything with Gemini 3 Pro.

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The biggest airdrop of the year is finally live! 🚨 Participate to win a share of 50 million $SSNC tokens! Boost your rewards by bringing in friends and completing social tasks! 🪅
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The biggest airdrop of the year is finally live! 🚨 Participate to win a share of 50 million $SSNC tokens! Boost your rewards by bringing in friends and completing social tasks! 🪅

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Samtop 👽🍂

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MIT PhD student Alex Zhang reveals the scaling result where a model trained on short tasks generalizes to problems 100x longer for free: "If you're very clever about the design of your harness or how you use the language model, you can almost get scaling gains for free." "If you train a model naively, there's no tricks. It's just the same way you train a model on these RL environments. You just roll it out, and then you just get some reward." "If you train it on only short tasks, like only tasks that are 10,000 tokens long, and then you were to run it on a similar domain, but at a million tokens, or 10 million tokens, or 100,000 tokens, it generalizes really, really well. If you look at it compared to even the base transformer, you get way better generalization properties." "When the model uses an RLM (Recursive Language Model) after it's trained on these short tasks, it will see some kind of trajectory of actions that it does. Between these two problems of different lengths, the RLM learns to see them as almost the same problem." "Token for token, they're almost the same. You can describe it in code. In one code setting, maybe the for loop is a little bigger, but it's the same kind of code and it derives the constants from the data. There's no hard coding, so they literally look the same." alex zhang
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MIT PhD student Alex Zhang reveals the scaling result where a model trained on short tasks generalizes to problems 100x longer for free: "If you're very clever about the design of your harness or how you use the language model, you can almost get scaling gains for free." "If you train a model naively, there's no tricks. It's just the same way you train a model on these RL environments. You just roll it out, and then you just get some reward." "If you train it on only short tasks, like only tasks that are 10,000 tokens long, and then you were to run it on a similar domain, but at a million tokens, or 10 million tokens, or 100,000 tokens, it generalizes really, really well. If you look at it compared to even the base transformer, you get way better generalization properties." "When the model uses an RLM (Recursive Language Model) after it's trained on these short tasks, it will see some kind of trajectory of actions that it does. Between these two problems of different lengths, the RLM learns to see them as almost the same problem." "Token for token, they're almost the same. You can describe it in code. In one code setting, maybe the for loop is a little bigger, but it's the same kind of code and it derives the constants from the data. There's no hard coding, so they literally look the same." alex zhang

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For ongoing tasks, like planning a wedding or managing a move, Search will soon be able to build custom experiences with Google Google Antigravity that you can continue to come back to and make progress on. Think of them like building your own mini apps right in Search. Here’s Robby Stein, VP of Product, Search demoing the new tool on the #GoogleIO stage.

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I’ve completed all the tasks on Axis Robotics I Made a Video Showing How to Complete Axis Robotics Tasks Easily! Many people are getting stuck while completing Axis Robotics tasks, and some of you asked me to make a detailed video So I made a step-by-step video showing the easiest way to complete the tasks If you haven’t started yet, you can still join early. The project has already raised around $12M, and the Points System is now LIVE 🔗 > Create / log in to your account > Go to Training Tasks > Complete the available tasks > Submit your work properly > Sign your completed tasks > Keep completing different tasks to build your Points Points depend on more than just activity: - Task difficulty - Number of valid tasks - Quality of your submissions - Diversity of tasks - Genuine referrals Don’t keep repeating the same task, Focus on completing different and higher-quality tasks If you’re new to Axis, I recommend starting early and learning the process now instead of waiting until more users join I explained the full process in my video so you can follow it easily Who’s already farming Axis Points?
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I’ve completed all the tasks on Axis Robotics I Made a Video Showing How to Complete Axis Robotics Tasks Easily! Many people are getting stuck while completing Axis Robotics tasks, and some of you asked me to make a detailed video So I made a step-by-step video showing the easiest way to complete the tasks If you haven’t started yet, you can still join early. The project has already raised around $12M, and the Points System is now LIVE 🔗 > Create / log in to your account > Go to Training Tasks > Complete the available tasks > Submit your work properly > Sign your completed tasks > Keep completing different tasks to build your Points Points depend on more than just activity: - Task difficulty - Number of valid tasks - Quality of your submissions - Diversity of tasks - Genuine referrals Don’t keep repeating the same task, Focus on completing different and higher-quality tasks If you’re new to Axis, I recommend starting early and learning the process now instead of waiting until more users join I explained the full process in my video so you can follow it easily Who’s already farming Axis Points?

Shadat Official | Airdrop

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Axis Robotics Point System - Free Airdrop Guide: Axis Robotics {Robotics Sector} Currently, I think this is the one of the free airdrop you should focus on because: - Raised $12M (led by Hack VC) - Building on AI + Robotics (robotics could be the next hot sector after AI) - Cost free tasks (only requires effort) - Low competition due to the difficult tasks + negative sentiment around airdrops STEPS 👇🏻 🔗 • Create an account • Complete all the available tasks. There are many live tasks to complete. It might feel hard when you start but once you adapt, it gets easier. • The more tasks you complete, the more points you'll earn • Sign all the tasks you complete (you can use bulk signing) Point distribution: Based on: • Volume of tasks • Difficulty level • Variety of tasks completed Points are distributed every 2 weeks (MONDAY) Snapshot taken on Friday. Special tasks: There are some special tasks that give higher points, but not everyone can access them (requires an access code). Will update if I get any. For special tasks, click on Alliance and complete the tasks there. Still very early, as the point system went live only a few days ago. You can contribute now and try to climb the leaderboard. Added a video showing how the tasks are completed by controlling the robots👇🏻
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Axis Robotics Point System - Free Airdrop Guide: Axis Robotics {Robotics Sector} Currently, I think this is the one of the free airdrop you should focus on because: - Raised $12M (led by Hack VC) - Building on AI + Robotics (robotics could be the next hot sector after AI) - Cost free tasks (only requires effort) - Low competition due to the difficult tasks + negative sentiment around airdrops STEPS 👇🏻 🔗 • Create an account • Complete all the available tasks. There are many live tasks to complete. It might feel hard when you start but once you adapt, it gets easier. • The more tasks you complete, the more points you'll earn • Sign all the tasks you complete (you can use bulk signing) Point distribution: Based on: • Volume of tasks • Difficulty level • Variety of tasks completed Points are distributed every 2 weeks (MONDAY) Snapshot taken on Friday. Special tasks: There are some special tasks that give higher points, but not everyone can access them (requires an access code). Will update if I get any. For special tasks, click on Alliance and complete the tasks there. Still very early, as the point system went live only a few days ago. You can contribute now and try to climb the leaderboard. Added a video showing how the tasks are completed by controlling the robots👇🏻

Abhi.eth

20,394 просмотров • 24 дней назад