I’m joining @fleet_ai as a research scientist focused on human-AI collaboration at scale!
Human-centered AI unifies model capability and mechanism design. At @xAI, I improved RL posttraining for creativity and alignment, helping achieve SOTA on IFBench; at @X, I designed and scaled safety systems and user modeling that shaped the experience of millions.
I'm excited to lead open research on the art and science of bridging intelligences via evals, environment scaling, and posttraining. Open to connecting & sharing ideas! I'm also going to @CAISconf next week in San Jose.
Wrote this for fun: I/RL Algorithms to Live By, honoring Brian Christian's Algorithms to Live By that in part convinced me to switch from econ to cs.
All life is an experiment and I am participant zero. Tried co-writing with AI for the first time, takeaway is to be the first-mover of thoughts and to choose the things worth being in slow-time for, like an idea that I can uniquely generate or concepts that take years to click.
https://t.co/unLvuK7Ks0
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ@Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.
I’m joining @fleet_ai as a research scientist focused on human-AI collaboration at scale!
Human-centered AI unifies model capability and mechanism design. At @xAI, I improved RL posttraining for creativity and alignment, helping achieve SOTA on IFBench; at @X, I designed and scaled safety systems and user modeling that shaped the experience of millions.
I'm excited to lead open research on the art and science of bridging intelligences via evals, environment scaling, and posttraining. Open to connecting & sharing ideas! I'm also going to @CAISconf next week in San Jose.
there should be a recsys people appreciation day. I learned from recsys the art (and toil 🥲) of keeping people’s headspace brain-feeding & slop-free, which is very underexplored with chatbots & agents
to my past self in deep doubt of my skills: your work would get trademarked & you'll spend a year actually grokking and not alone 🤗 more so than friends, it's you not giving up on you