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# Meta's autonomous research system AIRA3 places 8th of about 4,000 teams in NVIDIA's Kaggle reasoning challenge
- URL: https://globalfeed.ai/en/meta-entered-its-autonomous-research-system-aira3-in-an-nvidia-run-kaggle-contest/
- Published: 2026-09-06T01:59:44.000Z
- Updated: 2026-09-06T01:59:44.000Z
- Description: Meta says its autonomous AI research system AIRA3 entered NVIDIA's Nemotron reasoning competition on Kaggle in June and finished 8th out of roughly 4,000 teams, a gold-medal result. The system had the same tools and information as human competitors and was graded externally on the same private test
- Author: GlobalFeed Editor
- Tags: Meta, Nvidia, Kaggle, autonomous research, agents, x-AIatMeta, x-nvidia, x-kaggle, dil-en, video, x-gitti

In a [four-post thread](https://x.com/AIatMeta/status/2096271545589190927?ref=globalfeed.ai) on its official X account on 5 September, Meta said its autonomous AI research system **AIRA3** entered a live Kaggle competition run by NVIDIA in June to teach a 30-billion-parameter Nemotron model to reason better. Meta says AIRA3 placed 8th of roughly 4,000 teams, gold-medal level, with the same tools and information as human competitors and external grading on a private test set.

Meta calls this “a reliable signal that AIRA3 can improve a targeted capability of an AI model at a level similar to human experts.” The thread does not name the team on the leaderboard; the results are Meta's statement, unverified independently.

## Competition and models

Per the Kaggle page, the [NVIDIA Nemotron Model Reasoning Challenge](https://www.kaggle.com/competitions/nvidia-nemotron-model-reasoning-challenge?ref=globalfeed.ai) ran from mid-March to mid-June. Entrants all started from **Nemotron-3-Nano-30B** and submitted a LoRA adapter with rank at most 32, scored on accuracy on a new NVIDIA Research reasoning benchmark. 4,182 teams entered; first prize: $25,000 and 5 DGX Spark.

By Meta's account, the 8th-place live entry combined **GPT 5.5** (with OpenCode) and **Claude 4.8** (with ClaudeCode). In post-hoc runs on the same private test set, Meta's own **Muse Spark 1.2** (with MuseCode) also reached gold level; Muse Spark 1.1 and GLM 5.2 (both with OpenCode), silver.

## How it works

Meta says AIRA3 has no central controller: many long-running agents, each a model paired with a coding harness, work in isolated environments and coordinate asynchronously through a shared forum for hypotheses and findings and a shared filesystem for solution artifacts, building on each other's discoveries; search strategies emerge dynamically.

## Generalization claims

Meta says only the task specification changes between domains, citing a 27% latency reduction on production GPU kernels in an internal benchmark and gold level in another Kaggle competition translating 4,000-year-old Akkadian clay tablets into English. It calls itself “early” and names “recursive self-improvement” as the goal; its predecessor, [AIRA2](https://arxiv.org/abs/2603.26499?ref=globalfeed.ai), appeared on arXiv in March.

## For the corporate reader

One data point that part of model fine-tuning can be handed to autonomous systems; also a single competition, the company's own statement, not a production environment.

## Sources

- Meta's X thread, 5 September: [https://x.com/AIatMeta/status/2096271545589190927](https://x.com/AIatMeta/status/2096271545589190927?ref=globalfeed.ai), [https://x.com/AIatMeta/status/2096271547229167748](https://x.com/AIatMeta/status/2096271547229167748?ref=globalfeed.ai), [https://x.com/AIatMeta/status/2096271550517575918](https://x.com/AIatMeta/status/2096271550517575918?ref=globalfeed.ai), [https://x.com/AIatMeta/status/2096271554237936107](https://x.com/AIatMeta/status/2096271554237936107?ref=globalfeed.ai)
- Competition page: [https://www.kaggle.com/competitions/nvidia-nemotron-model-reasoning-challenge](https://www.kaggle.com/competitions/nvidia-nemotron-model-reasoning-challenge?ref=globalfeed.ai)
- AIRA2 paper, arXiv: [https://arxiv.org/abs/2603.26499](https://arxiv.org/abs/2603.26499?ref=globalfeed.ai)