Kaggle Master | AI Engineer
Sapporo, Hokkaido, Japan
Joined July 2026
- Tweets392
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SlurmがシングルGPUでもKaggleに役立ったので久々に記事書きました！よければ見てください！
zenn.dev/pomcho555/articles/…
#kaggle
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ONE OF ARC’S DREAM TEAMS: 復活の混テキスト brought familiar teammates and Kaggle medal winners together to tackle ARC. Meet the competitors—and the stories behind their cards. @refv00 @kaggle #Kaggle
arc.markbarney.net/news/2026…
ALT Five team characters—a radio engineer, a leafy figure, an orca, a green creature with medals, and a bespectacled space engineer—gather around a glowing puzzle grid.
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Why not announce it in the competition forums first?
More generally, why didn't you react to the submission and scoring issues in the forum?
Last why not let submissions get scored? None of today's submission have completed scoring. The forums are full of people asking for it.
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As a test of our progress to advance the frontier of AI research, in June we entered the next generation of our autonomous AI research system, AIRA₃, in a live Kaggle competition run by NVIDIA to fine-tune a 30B Nemotron model. The challenge was to teach the model to reason better — all competitors had access to the same information and were graded externally on a private test set.
AIRA₃ placed 8th out of ~4,000 teams to win Gold, outperforming human competitors who had access to the same frontier tools.
We believe this is a reliable signal that AIRA₃ can improve a targeted capability of an AI model at a level similar to human experts.
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“500万本の干し草”から「1本の針」を見つける苦行ゲーム『Needle In A Haystack Simulator』の日本語対応が決定！
news.denfaminicogamer.jp/new…
苦しみをわかつ8人での協力プレイにも対応し、2026年第4四半期に発売予定。開発者本人もまだ針を見つけられていない模様
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coding agentにより、作業内容を理解もしていなければ、仮説すら持っていない実験がGPU clusterに投入されているわけで、それで「効率化」が達成されるとは思えないです...
そして、「理解」した気になるハードルが極度に低い方々が世の中にはいるので....それも...
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今話題？（これから話題になるはず）のFreeTokenを試してみました〜
RTX5090で120Bパラメーターのモデルが130token/sec近く出ました。
案外簡単に使えたので皆さんも週末にぜひ
zenn.dev/holy_fox/articles/5…
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📣 8 月 26 日 (水) 午後 3 時からライブ配信！
@kaggle 開催「NVIDIA Nemotron Reasoning Challenge」で世界第 1 位に輝いた東京エレクトロン @TokyoElectron_J チームが登壇！
MC は NVIDIA データサイエンティスト兼 Kaggle Grandmaster の小野寺和樹。
優勝解法とリーダーボードの裏側を語ります。Kaggler の方、AI 開発者の方は必見です👀
nvda.ws/4znOLq3
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📣 8 月 26 日 (水) 午後 3 時からライブ配信！
@kaggle 開催「NVIDIA Nemotron Reasoning Challenge」で世界第 1 位に輝いた東京エレクトロン @TokyoElectron_J チームが登壇！
MC は NVIDIA データサイエンティスト兼 Kaggle Grandmaster の小野寺和樹。
優勝解法とリーダーボードの裏側を語ります。Kaggler の方、AI 開発者の方は必見です👀
nvda.ws/4znOLq3
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関東Kaggler会の発表資料です！
「関東Kaggler会 NVIDIA Nemotronコンペ 振り返り」
#kanto_kaggler
speakerdeck.com/rick_ds/guan…
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Over 600M people globally live with osteoarthritis, and the knee is the most commonly affected joint. 🥼
Join the RSNA Knee Abnormality Detection Competition, hosted by @RSNA and Kaggle, to build machine learning models that detect twelve clinically important abnormalities on knee MRI examinations.
• Total Prize Pool: $77,000
• Entry Deadline: October 15th, 2026
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Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3
