Introducing CoreWeave ARIA, the first AI research agent that runs autoresearch in your W&B dashboard. It reads your runs, finds what's working, and launches the next experiment itself. See it on Andrej Karpathy's nanochat, proposing configs and launching real training runs. Watch👇 Chapters 0:00 The setup, nanochat runs on... an A100 0:32 Ask ARIA to run autoresearch 1:00 Spin up a second ARIA in parallel 1:38 ARIA inspects prior runs and forms hypotheses 2:03 What happened, what worked, across every run 2:24 ARIA proposes configs, 3 trials via W&B Launch 2:59 Push for bigger architecture changes 3:14 Runs hit the launch queue on the A100 4:09 Two ARIAs running autoresearch in parallel 4:26 Results back, ARIA evaluates the val lossshow more

You can ask ARIA something real, like whether dropout after the attention layers helps the overfitting you're seeing. Go get coffee ☕️ Come back to find it's formed a hypothesis, written the config, launched on W&B Launch, scored against your baseline, and proposed next steps.

ARIA knows your project before you type a word. Open it from a failed run, ask what happened, and it's already reading the CUDA OOM in your logs, no pasting context. Every answer comes back as a live W&B dashboard you can pin and share, not a wall of text.

Here are some use cases to get you going: - Why did my run fail?! 🫠 - Build a view of my runs and outliers - Why did these OOM? Check the logs and metrics - What hyperparams to try next? Launch it - Find a teammate's run and import it - How do I overlay metrics on a chart?

You're already sitting on the experiments. ARIA turns them into the next model. It works on mobile, too. 😉 Public preview is live now. Open any W&B project, hit the agent icon, and ask ARIA something real. More info below!

@karpathy This is legit really cool! Can’t wait to try it out.

@karpathy ok autoresearch on nanochat is a real flex. my instinct is always to ship faster and skip this layer, then regret it when my eval pipeline turns into garbage

@karpathy 自主自动调咯先让它玩玩。