free Kaggle dual T4s GPUs Running Meta’s Muse Glimmer 30B Q6_K_XL. - 130,000 token context - 26.5 GB VRAM - Prefill: 265 t/s - Decode: 9 t/s - Cost: $0 Aggressive 16:1 GQA. Unquantized KV cache for 130k tokens is only 2 GB.

While the Kaggle competition demonstrated AIRA₃’s capabilities in a specific domain, the system itself can generalize across distinct domains: changing only the task specification. In an internal benchmark, AIRA₃ achieved a 27% latency reduction on production GPU kernels, and gold-level performance in another Kaggle competition translating 4,000-year-old Akkadian clay tablets into English. We're early, and hard problems are still ahead of us. But we believe a system that compounds its own knowledge is the right bet. As we continue to develop and scale, we’re excited about its potential to accelerate AI research and unlock recursive self-improvement.

Over 5,000 Kagglers. One @nvidia challenge. Five key takeaways. 👇 Learn how developers fine-tuned reasoning models using Google Cloud G4 VMs. With compute taken care of, teams focused entirely on improving accuracy:

Visit the Kaggle Game Arena today at 9:30am at kiosk #2# where frontier models compete in live environments. Stop by to browse benchmarks and leaderboards with Yuting Han, Lucy He, and Tiffany Xiang at the Google booth (#B206#). #ICML2026#

ExtractBench is now live on @Kaggle. It tests schema-guided document extraction on the documents most likely to break downstream agents and workflows, including long record lists, noisy scans, handwriting, and complex tables. The benchmark covers 370 enterprise documents across 8 business domains and 67 document types. See how LlamaParse, Codex, Claude Code, and more stack up. Read the full story →

We’ve teamed up with Google DeepMind and Zapier to host the inaugural Bench Summit by Kaggle. Gain hands-on insights from the AI startups and researchers defining today’s evaluation standards, and get closer to the frontier. Secure your spot or apply to speak: