Clement Farabet retweeted
Antigravity now has Voice mode powered by Gemini Live. It's been a game changer internally on how many people work with a lot of folks now building hands-free with headphones in the office. Hope you all enjoy!
As always, more to come today 👀
As always, more to come today 👀
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Clement Farabet retweeted
What a week for Antigravity!
✨ - UI got a facelift
📑 - New built-in browser
☁️ - Remote agents
🗣️ - Live voice mode
Plus Antigravity CLI got ACP support to boot.
✨ - UI got a facelift
📑 - New built-in browser
☁️ - Remote agents
🗣️ - Live voice mode
Plus Antigravity CLI got ACP support to boot.
The Antigravity interface has a new look & feel. Many of you have already seen it, so let us know what you think!
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Remote Agents in Antigravity and the Managed Agents API are two surfaces with common building blocks:
- Same Antigravity agent harness
- Hosted Linux sandboxes (environment="remote")
- Portable skills so same setup on both
Basically remote running agents either via the an API so you can build your own pipelines.
- Same Antigravity agent harness
- Hosted Linux sandboxes (environment="remote")
- Portable skills so same setup on both
Basically remote running agents either via the an API so you can build your own pipelines.
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2/ Zero-Translation Portability:
The .agents/AGENTS.md rules, .agents/skills/*/SKILL.md workflows, and remote MCP servers you build interactively in Antigravity mount directly into environment.sources via API, plus proxy-injected secrets and network allowlists.
The .agents/AGENTS.md rules, .agents/skills/*/SKILL.md workflows, and remote MCP servers you build interactively in Antigravity mount directly into environment.sources via API, plus proxy-injected secrets and network allowlists.
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3/ The Dev Loop:
Prototype skills and agent behavior interactively with Remote Agents in Antigravity, then promote the exact config to production CI/CD via client.interactions.create(agent="antigravity-preview-09-2026", environment="remote") in the Gemini API.
Prototype skills and agent behavior interactively with Remote Agents in Antigravity, then promote the exact config to production CI/CD via client.interactions.create(agent="antigravity-preview-09-2026", environment="remote") in the Gemini API.
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Clement Farabet retweeted
We want Antigravity to be working for you all the time. We’ve been rolling out remote agents this week. Your tasks run in independent cloud virtual machines. Fire off a task, step away for coffee, unblock permissions from your phone, and come back to passed tests and a clean pull ll paid consumer plans.
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Clement Farabet retweeted
We just redesigned the Antigravity app to be much more sleek and delightful to use! Hope you all enjoy it.
More to come in a couple hours 👀
More to come in a couple hours 👀
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Clement Farabet retweeted
I absolutely love the new Antigravity look.. so sleek!
~ We might finally get Context and Quota indicator.. not sure if it will be this week but it's coming for sure..
~ Antigravity voice mode will be powered by Gemini live and the UI looks so clean..
~ The animations, overall app feels so fluid that i can't wait for it to be officially upstream..
Tbh these are the kinds of upgrades i was hoping for agy and this paired with Gemini 4 Carbon would be so good!
~ We might finally get Context and Quota indicator.. not sure if it will be this week but it's coming for sure..
~ Antigravity voice mode will be powered by Gemini live and the UI looks so clean..
~ The animations, overall app feels so fluid that i can't wait for it to be officially upstream..
Tbh these are the kinds of upgrades i was hoping for agy and this paired with Gemini 4 Carbon would be so good!
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Clement Farabet retweeted
Carbon has some nice gains in alignment and behavior I'm pretty happy about! Not just cheating reduction but we've seen even fewer flags from the held-out misalignment monitor in both training and internal use. blog.google/innovation-and…
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Clement Farabet retweeted
Amazing, great to see this. Gemini 4 Carbon is a great model and performing well on the AGY harness. Excited for you all to try it soon!
Gemini 4 Carbon scores 53 FCI and 54 pass rate on FrontierCS 2. It’s an impressive jump from Argon to Carbon in just a few weeks. We also work with @antigravity to improve the evaluation in long-horizon runs. model and harness are co-evolving! 🐱
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Incredible "hello world" for Project Suncatcher — and an exciting milestone for the Gemma family we built for embedded / edge workloads!
Three things that make this engineering wild:
1. True edge / embedded inference: Gemma 4 is running completely offline in low Earth orbit — zero ground relay for compute, executing prompts and payload telemetry checks directly on the spacecraft.
2. Data-center silicon in vacuum: Running on 4 radiation-tested Trillium TPUs powered by direct solar energy, surviving launch vibration and thermal extremes.
3. From laptops to orbit: We designed Gemma from first principles to maximize capability per watt in constrained environments — seeing that same architecture scale from local devices to an orbiting satellite is surreal.
Huge kudos to the Google Research, Planet, TPU, and Gemma teams!
Three things that make this engineering wild:
1. True edge / embedded inference: Gemma 4 is running completely offline in low Earth orbit — zero ground relay for compute, executing prompts and payload telemetry checks directly on the spacecraft.
2. Data-center silicon in vacuum: Running on 4 radiation-tested Trillium TPUs powered by direct solar energy, surviving launch vibration and thermal extremes.
3. From laptops to orbit: We designed Gemma from first principles to maximize capability per watt in constrained environments — seeing that same architecture scale from local devices to an orbiting satellite is surreal.
Huge kudos to the Google Research, Planet, TPU, and Gemma teams!
A ‘hello world’ milestone for Project Suncatcher 🚀
After launching our prototype satellite a few weeks ago, we’ve now successfully sent a command up to orbit, booted up the TPU, ran the prompt, and received our first complete response back on earth - a haiku!
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Clement Farabet retweeted
The agentic moment we saw in coding just happened in radiology.
Instead of scanning a file system, an agent can now scan the body in 3D:
1. look (up to 100 16-bit slices/batch)
2. annotate, analyze & verify across priors
braid.health/www/page/agent…
Instead of scanning a file system, an agent can now scan the body in 3D:
1. look (up to 100 16-bit slices/batch)
2. annotate, analyze & verify across priors
braid.health/www/page/agent…
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Clement Farabet retweeted
When you get a shoulder MRI, you usually receive 130 words of dense medical jargon ("low-grade interstitial partial tear of the infraspinatus") and zero images.
Your images, explained in plain English with interactive 3D MRI callouts:
braid.health/shoulder
Your images, explained in plain English with interactive 3D MRI callouts:
braid.health/shoulder
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Amazing work @qevni , and glad to see the impact of Gemini 4 Argon on medical imaging!
What happens when we run that same Left Shoulder MRI through Gemini 4 Argon with 6 million tokens of context?
26 interactive 3D callouts across all 8 MRI sequences, mapping both the tears and every intact structure in the joint:
braid.health/shoulder-argon
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Clement Farabet retweeted
Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index
Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, ic tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas.
As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon.
Key results for Gemini 4 Carbon with high reasoning:
➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work
➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out
➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671
➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index
➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max)
Key model details:
➤ Context Window: 1M tokens
➤ Multimodality: Text, image, video, and speech input, with text output
➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M)
Congratulations to the @GoogleDeepMind team!
Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, ic tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas.
As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon.
Key results for Gemini 4 Carbon with high reasoning:
➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work
➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out
➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671
➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index
➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max)
Key model details:
➤ Context Window: 1M tokens
➤ Multimodality: Text, image, video, and speech input, with text output
➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M)
Congratulations to the @GoogleDeepMind team!
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Clement Farabet retweeted
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys 9. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys 9. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
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Awesome to see Carbon out, one more leap in very little time!
Just two weeks after rolling out Gemini 4 Argon, excited to share a preview of Gemini 4 Carbon - our next frontier model. It has state-of-the-art long horizon coding capabilities driving SOTA performance across the cybersecurity defense lifecycle including detection, validation, o ranks #1 overall on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59.
We're starting by rolling out to a subset of cyber defenders through our Fairwind Program this week and soon expanding access further. Read more at: blog.google/innovation-and…
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