Ethan Boneh

[Ethan Boneh @ethanboneh]

Modal has been fantastic to work with. I recently implemented OpenEvolve for KernelBench and ran large-scale evaluations on Modal; the entire workflow was smooth and reliable from start to finish.

[Charles 🎉 Frye @ ICML @charles_irl]

Fresh blog post!

@modal partnered with @ScalingIntelLab, @HazyResearch, and @chelseabfinn's IRIS Lab to speed up research on speeding up AI research.

Read how scientists at the cutting edge are building the machines that build the machines with Modal.

https://t.co/FDbnp8DOuC

[Tanvir Bhathal @BhathalTanvir0]

We won multiple tracks at Treehacks!🏆🌲Our agent, Mobius, runs forever and is the first fully autonomous infinite-horizon AI founder building a billion dollar company. Mobius performs the job of the CEO, CTO, CPO, etc. It successfully built @pay_pilot_ai in 13+ hours and 3.8k agent turns!

[Ethan Boneh @ethanboneh]

@GPU_MODE @manojrajarao @Ameen_ml @PyTorch Big thank you to the @gpu_mode team for running this hackathon (@marksaroufim), my teammates, and @Nebius for sponsoring us and giving us GPU credits! I’m excited to keep building on HelionEvolve—next up: scaling the RL environment and testing HelionEvolve on new kernels.

[Ethan Boneh @ethanboneh]

A week ago I went to my first @gpu_mode hackathon, and, together with @manojrajarao, @Ameen_ml and Emily Shen, placed fourth with HelionEvolve, an OpenEvolve-based autotuner for (Helion) GPU kernels.

[Ethan Boneh @ethanboneh]

@GPU_MODE @manojrajarao @Ameen_ml @PyTorch Another future approach we explored was using RL to autotune. We designed an RL environment where each state encodes kernel metadata and performance metrics, and actions correspond to configuration adjustments. You can check out the environment here: https://t.co/LxaIT0Lmk4.