内容历史
Congrats @natolambert - excited for you. In the same way that I believe intelligence should be flattened and diffused broadly, the knowledge to build this technology should be as well. I can't think of anyone better!
Today we're unveiling Trillium Labs @trillium_labs, a new non-profit to foster the open science of frontier AI. We're building open post-training recipes and will expand into open infra to study RSI, reward-hacking, multi-agent systems, and whatever comes next. We're built
Dang, this dot thing really built Mighty into Codex. I’ve come full circle. The great cloud computer revolution has finally begun.
RT Varun Mohan Just announced Gemini 4 Argon, our new frontier model! It delivers frontier performance across the board on complex software tasks. Thousands of Googlers have already been using it in Antigravity internally and we’re excited by the feedback. It’s rolling out first to a set of trusted cyber defenders in our Fairwind Program with broader availability coming as soon as possible.
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from
RT delian Earlier this year @Lux_Capital pre-empted our Series D and we were excited to lean in and raise $250m! In 2014, I was raising for my first co, Lux was the only VC that invited me to a full IC... but passed because it wasn't ambitious though Thankfully space drug factories is :)
Today, we’re announcing Varda’s $250M Series D raise, bringing the total amount of capital raised to $598 million with a $1.6B valuation. This funding will help us build more vehicles, grow pharmaceutical partnerships, and advance toward the first medicine manufactured in space
Super cool!
New research: We post-trained a Computer model to learn from its own errors using hint-guided self-distillation. In a live A/B test, a later trained checkpoint reduced tool-call failures by 21.2% relative to an earlier checkpoint.
This will happen to Inference
One data point in technology making everyone richer: the cost of lighting has decreased by over 1000x.
Out of curiosity, how does one build something that coordinates 10K AI agents to solve a single problem?
Excited to see benchmarks headed in this direction and getting better!
We are releasing FrontierSWE v2, our updated ultra-long horizon coding benchmark V2 features an expanded task suite and improved methodology. We see large performance gaps between frontier models, with Claude Fable 5.1 leading by a wide margin
This is my desktop now. I have 7 random text edits holding prompts for my agents for different situations. Surely, this is not the future and a sign of how early it is.
This is what I get when I google: "is there a device to talk to your computer while suppressing your voice so no one else can hear you?"
A bit tired of this because I know Varun can’t defend himself. None of you haters are considering the counter-factual: what if Varun and co weren’t there? It’d probably be a lot worse. When Varun leaves, it’s the official ggwp moment for me. If the models aren’t competitive, like any other co, they go back to pre-training or whatever stage and try again. You guys are far too myopic and operate on very short time frames. Focus on your own work.
Is this the worst acquisition in recent memory? No one uses antigravity and gemini got lapped by everyone
