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)
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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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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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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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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Very excited to announce Gemini 4 Argon, our new Frontier AI model, and a huge step forward across key capabilities. We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soon
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Gabby Ong retweeted
I’ve been testing Dots for a bit. In short, it has a potential to be the best agent product in the world. Why? The quality of the AI is best-in-class. But the UX needs a lot of work before I can make it my daily driver. If OpenAI nails that, they’ve got a huge winner.
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introducing Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, our most expressive audio generation models yet these models enable creators, developers, and enterprises to create richer, more expressive audio experiences try them via the Gemini API and in AI Studio: aistudio.google.com/generate…
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Gabby Ong retweeted
I want to thank @ChrisGPT, who has done some amazing Gauntlet Loop demos, for contributing to my NYC Open World project! He did a fantastic job. Now that Opus 5.5 is out, I’m going to try to take it to the next level. Starting the loop tonight.
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Gabby Ong retweeted
if you can make a game in an hour, imagine what you and your friends could build in a year. we built Spawn to give you room for that. worlds 100x the size of GTA. 1000s of players together. portals connecting what you create. live today and improving every hour.
I've been building this action roguelike around fast, intense, brawly combat. But honestly, one of the most magical parts so far has been the portals between worlds. You go kingdom to kingdom, felling kings, taking their crowns and absorbing their powers. Each time you do, a portal to the next kingdom opens right in front of you. You can see into the next zone before you even enter it, run straight through without a loading screen, then turn around and look back at the world you just left. The engine in @spawn is what makes this possible, and it even supports portals between different games. Funny how something I didn't plan as a core part of the game is turning into one of my favorite things about it.
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Harnesses often get dismissed as just scaffolding, just prompt engineering, and not real research. But that couldn't be farther from the truth. The same model weights that score 30% on ARC-AGI score 95% with a better harness. So we gathered a group of researchers and founders working at the frontier to do a deep dive into the state of harnesses. We cover how we got to this point, the case for making your harness as expressive as possible, and what YC learned building an agent for every employee in the company. 00:00 - @FrancoisChauba1: Why harnesses matter 04:27 - Building an auto-researcher by accident 07:13 - A five minute history of harnesses 13:56 - Self-improving harnesses 18:35 - @sethkarten: Prime Agent, a self-improving RLM harness 21:50 - Context as an L1, L2, L3 cache 24:51 - From Turing machine to von Neumann computer 28:33 - Messaging between agents 30:04 - ARC-AGI results 33:09 - Emulator Bench and GPU kernels 37:30 - @JonSaadFalcon: OpenJarvis, personal AI on personal devices 38:26 - How far behind are local models 39:21 - The five primitives of a personal AI stack 42:47 - Letting cloud models optimize your local stack 43:53 - 800x cheaper than the cloud 45:58 - @josh__france and @jbellregan: QM, YC's agent harness for work 47:29 - A history of YC's internal agents 49:24 - OpenClaw and a fleet of 50 agents 51:04 - Pulling the brain out of the sandbox 54:43 - Letting the agent choose its own sandbox and model 57:16 - The grind tool: budgets on goals 58:50 - Agents don't understand social context
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Gabby Ong retweeted
I can't believe this is real I have GLM 5.2 running 100% locally on my Mac Studio. 2 bit quant. The results I'm getting are better than Opus 4.8 It's now powering my Hermes Agent and Codex. 100% free, local, private super intelligence on my desk I also have it in a loop coding for me 24/7 now I thought we were at least a year away from this type of event. It happened today. The model takes up about 250gb of memory. So you can technically run it on a Mac Studio with 256gb, but you probably want the 512gb memory version (please tell me you listened to me 5 months ago when these were sitting on store shelves) With Fable gone, I now have Opus 4.8 level intelligence on my desk for free. This is the future. Local, private, secure, personal super intelligence. If you're still writing off local AI as a fad or engagement bait, you are officially delusional
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A kid from Singapore who grew up training to be a concert pianist became one of the most important AI researchers alive, quit Google to start a frontier AI lab with 20 people and $60 million, built a model that competed with GPT-4 in a year, then walked away from the unicorn he created and went back to Google to lead the team that just won the International Math Olympiad with an AI. His name is Yi Tay. Almost nobody outside the AI research world knows it. Here is the story. Yi grew up in Singapore. He earned a classical piano performance diploma from Trinity College London in 2012 and almost became a professional musician. He went into computer science instead, did his PhD at Nanyang Technological University, and joined Google Brain as a research scientist. There were almost no Singaporean researchers in frontier AI at the time. He used to say he was on an uncharted path. At Google he became the co-lead of PaLM-2, the brain behind Google's entire AI stack. He invented UL2, a pretraining method now used across the industry. He invented Differentiable Search Indexes. His work shipped inside Google Assistant, YouTube, and Search. When ChatGPT launched in late 2022, Yi made a decision that shocked the research community. He left Google. In 2023 he co-founded Reka with researchers from DeepMind and Meta. The headquarters was in San Francisco, but the team was scattered across Asia, Europe, and the US. They had no big-tech backing. They had 20 people total. They had $60 million in funding. For context, OpenAI had around 600 people working on GPT-4. Google Gemini had 950 co-authors on the technical report. Reka had fewer than 5 people on pretraining. Yi lived nocturnally for 639 days. Five cups of coffee a day. Takeout twice. He gained 15 kilograms. He had a newborn baby. He worked across time zones his entire team was spread across. He built infrastructure from scratch in places Google had taken for granted. In May 2024 Reka Core debuted at number 7 on the LMSYS leaderboard. The only GPT-4 class model on the planet that was not trained by OpenAI, Google, Anthropic, or Meta. A 20-person company with 5 people on pretraining had just shipped a frontier model. Alibaba Cloud, NVIDIA, and Oracle became partners. The company hit a $1.3 billion valuation. Then in November 2024 Yi did something nobody expected. He walked away. He posted a quiet note on his blog titled "Returning to Google DeepMind." After 639 days of building one of the most respected frontier labs outside the big four, he went back to the company he had left. He wrote that he had learned more than he ever thought possible. He did not explain much else. Google made an extraordinary bet on him. They let him build something nobody else in the industry has, a DeepMind lab in Singapore. Yi runs it with Quoc Le. The team focuses on reasoning, reinforcement learning, and post-training for Gemini. It started with a dozen researchers. It now has over 300. Last summer, Yi's team led the effort that won the International Math Olympiad gold medal with Gemini Deep Think. The model solved IMO problems in a live competition, the kind that fewer than a hundred humans on Earth can solve under time pressure. His team also drove the work behind Gemini's ICPC 2025 gold medal. Yi still lives in Singapore. He still plays piano when he has time. He calls himself a global citizen who does not identify with any local AI scene. He has been at Google for nearly 14 years if you count the Reka detour. He says the Singapore lab is just getting started. A pianist from Singapore co-led the model that powered Google AI, left to build a frontier lab with 20 people and beat models trained by armies, walked back into Google, and is now running the team that just taught a machine to win Math Olympiad gold. The most influential AI researcher you have never heard of is sitting in a Singapore office right now, training the next generation of models that think.
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I accidentally broke my brain reading about Nobel Prize winners last month. There's this thing called "Janusian thinking" that basically explains why some people's minds work like magic while the rest of us think in straight lines. Named after Janus, the Roman god with two faces pointing opposite directions. The psychologist who discovered it, Albert Rothenberg, was trying to figure out what made breakthrough thinkers different. He interviewed dozens of Nobel laureates, major artists, revolutionary scientists. What he found sounds impossible. These people can hold two different ideas in their mind at the same time. They can explore both without switching back and forth or forcing a quick comparison. They can consider “yes” and “no” to the same question simultaneously and stay clear-headed. Einstein too talked about this when he described his relativity breakthrough. He was imagining riding alongside a beam of light while also standing perfectly still. Both perspectives at once. Mozart said he could hear an entire symphony "all at once," every note, every contradiction, every resolution happening in a single moment of awareness. Your average person's mind works like a courtroom. Evidence comes in, you weigh it, you reach a verdict. Case closed. But Janusian minds work more like... I don't know, like a quantum computer that can process multiple realities simultaneously until something new emerges from the overlap. I've started noticing it in conversations. When someone can genuinely see both sides of something without needing to pick one, it drives people nuts. They want you to land somewhere definite. The ability to live in that tension space reads as wishy-washy or indecisive. Most creative advice tells you to "think outside the box." But Janusian thinking is weirder than that. It's being inside and outside the box at the same time. It's thinking the box exists and doesn't exist simultaneously. Which explains why truly creative people seem slightly unhinged. They think they're choosing between realities. But, they're inhabiting multiple realities at once, mining the contradictions for insights the rest of us never see. Sadly, most of us have trained ourselves out of this ability. We've learned that holding contradictions feels unstable, so we rush toward resolution. We've been taught that changing your mind means you were wrong before, so we defend positions instead of exploring them. But the people changing the world have kept that childlike ability to hold impossible thoughts without needing them to make sense immediately. We just need to live in the questions everyone else is too scared to ask.
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