Gabby Ong (@hellogabbo) profile picture

human (views my own) google deepmind ex startup, figma, AWS

Singapore
Joined April 2016
Photo by Gabby Ong (@hellogabbo)Photo by Gabby Ong (@hellogabbo)Photo by Gabby Ong (@hellogabbo)Photo by Gabby Ong (@hellogabbo)Photo by Gabby Ong (@hellogabbo)Photo by Gabby Ong (@hellogabbo)
Gabby Ong retweeted
it's quite a good model, give it a try!
Gemini 4 Carbon is now available in Cursor! At high effort, it's the top model on CursorBench at 60.4%
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Give Gemini 4 Carbon a spin on OpenRouter!
Gemini 4 Carbon from @GoogleDeepMind is now live on OpenRouter, via @googlecloud. Built for long-horizon agentic coding and cybersecurity. Google reports big gains over Gemini 4 Argon on exploiting vulnerabilities, agentic terminal tasks, and long-context reasoning. Introductory pricing is 50% off through Nov 30: $2/M input and $10/M output.
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Gemini 4 Carbon from @GoogleDeepMind is now live on OpenRouter, via @googlecloud. Built for long-horizon agentic coding and cybersecurity. Google reports big gains over Gemini 4 Argon on exploiting vulnerabilities, agentic terminal tasks, and long-context reasoning. Introductory pricing is 50% off through Nov 30: $2/M input and $10/M output.
Gemini 4 Carbon is rolling out today. It’s built for sustained, long-horizon tasks, reasoning deeply through complex software engineering, cybersecurity, and scientific discovery. Coming globally via the Gemini API in @GoogleAIStudio and Gemini for business, and for Ultra subscribers in @antigravity, the @GeminiApp, and AI Mode in Search.
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Gabby Ong retweeted
Gemini 4 Carbon is rolling out today. It’s built for sustained, long-horizon tasks, reasoning deeply through complex software engineering, cybersecurity, and scientific discovery. Coming globally via the Gemini API in @GoogleAIStudio and Gemini for business, and for Ultra subscribers in @antigravity, the @GeminiApp, and AI Mode in Search.
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I joined Google DeepMind ~2 months ago! In SF & MTV for @aidotengineer! ​As a singleton in Singapore working on model launches & partners (team in EU/US), I learnt: ​1. Async work is autoregressive - continuous tokens in/out 2. In-person is latent diffusion 3. Trust is an efficient protocol 🧵
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When building hard things: 1. Async feels autoregressive. You read a doc, reply to a chat, ship a PR. It’s fast and linear, but you only attend to what’s explicitly passed into your context window, even if it’s large. 2. In-person is latent diffusion. Overhearing a desk convo, wandering into a random talk, lunch chatter. It’s noisy, but somehow I get a much better sense of what to actually attend to. 3. Quote @benoitschilling - the tech will change, so focus on the people. Trust is an efficient protocol.
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I’m curious to see how to bridge the remote gap. e.g. OpenClaw Multiplayer launched last week where teammates jump into the same live session. Radical transparency into what everyone’s working on, or chaos. Eitherway, excited to be here in person. If you’re at @aidotengineer this week, would love to say hi! 👋
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Thanks for putting Gemini through the paces and honest feedback!
our team uses gemini quite a bit now whenever we have a tricky architectural problem, complex system design questions, or need to simplify something we ask for a gemini subagent it's pretty good here. i don't see this talked about much
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Introducing Gemini 4 Carbon, it's a big jump over Argon which we released just 2 weeks ago. Gemini 4 Carbon is SOTA on cyber, long horizon tasks, ranks #1 on Artificial Analysis V5, significantly improves on usability in domains like coding, and is more aligned.
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Excited to build with Gemini API CLI in Hermes, OpenClaw etc - one API for images, videos, tts, music makes it easy to manage
We launched the Gemini API CLI. A CLI for calling the Gemini API. Give it to the agent you already use (Claude Code, Codex, Antigravity, Cursor, OpenClaw, Hermes...). It's NOT a new coding agent you can use it too: 1. Generate images, video, speech, music. 2. Analyze PDFs, images, audio, video, YouTube URLs, 3. Transcribe recordings to md / json / srt, 4. Run Deep Research in the background. Stateless. No memory, no chat mode. Your agent owns the context and the plan, gemini-api does the API call. Build for Agents, it's self-describing. `--help`, `--dry-run`... Start here: aistudio.google.com/learn/in…
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Gemini 4 Argon Developer Guide 🧑‍💻 Here are a few tips when using Argon: 🎯 - Align on goals & intent upfront 🧪 - Give it a way to verify & test its work 🤖 - Have Argon delegate to Flash subagents 🔄 - Update rules & skills Read the full guide 👇 aistudio.google.com/learn/ge…
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Gabby Ong retweeted
Gemini 4 Argon had the best launch day user share of any frontier model on Cline since June. ~3x as many users tried it on day one as Claude Opus 5.5 or Sonnet 5.5. We're also seeing Argon using 30% fewer tokens on average than Claude models. It's a really efficient model!
Gemini 4 Argon is #1 on Val Index, completing agentic tasks at half the cost of Opus 5.5. Google shared that the Chrome team recently used Argon to refactor ~6 million lines of legacy features out of a 40-million line codebase, eliminating an entire category of browser crashes.
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Gabby Ong retweeted
Been testing Gemini 4 Argon vs. GPT-6 Astra with the same prompt, and I was super excited with the outcomes 🏔️ I asked both to build an interactive 3D flyover of Mt. Rainier using real climbing routes, conditions, the topography, and a couple other sources. Gemini mapped out all the routes, and I could point to a specific route to explore what the climb actually looks like in 3D. This one is especially cool for me because summiting Rainier has been a goal of mine for the last few years. On my first attempt, I made it to 13,400 ft via the Disappointment Cleaver route, just shy of the 14,411 ft summit 🥲. Mountaineering is a team sport, and you're only as good as your team! Super cool seeing how the other routes look. Next time I'd like to try the Emmons Glacier route.
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Gabby Ong retweeted
Interested in trying @GoogleDeepMind's Gemini-4 Argon? It's available in LiveKit Inference! Drop it into your voice agent with a single line of code, run a test call, and hear the difference for yourself. Try it out now: docs.livekit.io/agents/model…
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Over half of reported crimes in Singapore use sophisticated social engineering. With @GovTechSG, we’re building on-device fraud detection using our open model Gemma. By fine-tuning it on local scam tactics, it identifies threats in real time without compromising personal privacy → goo.gle/4ygVkJa
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Gemini 4 Argon is amazing for knowledge work and coding - and it’s super fun to build with! We asked it to create this wizard chess game and it's so cool to see Argon's physics understanding & 3D modelling capabilities, makes me nostalgic for Battlechess on the Amiga - fun times! Argon is rolling out today to Google Ultra and Pro subscribers in the @GeminiApp and Search, and Ultra subscribers in @antigravity! More info & full availability in the blog: blog.google/innovation-and-a…
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