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Backヤン・ルカンが世界モデルに注力、AMI Labsを設立し約10億3000万ドル調達
ヤン・ルカンが世界モデルに注力、AMI Labsを設立し約10億3000万ドル調達
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ITmedia1 hour agoTech2 min readJapanView translation

ヤン・ルカンが世界モデルに注力、AMI Labsを設立し約10億3000万ドル調達

Quick Look

MetaのAI研究部門を離れたヤン・ルカン氏が仏パリで世界モデル専業スタートアップAMI Labsを設立し、3月にシードラウンドで約10億3000万ドルを調達。世界モデルは物理法則や空間データを理解しシミュレーションする技術で、LLMとは異なり「ある行動を取ったら世界がどう変わるか」を予測する。WaymoはGoogle DeepMindの世界モデル「Genie 3」を基盤に「Waymo World Model」を発表し、仮想空間でまれな状況を生成して運転AIの訓練に活用している。

AI-generated summary

Why It Matters

大規模言語モデル(LLM)が言語処理に特化しているのに対し、世界モデルは物理法則や空間データを理解し、行動の結果を予測する技術として注目されている。赤ちゃんが言葉を覚える前に万有引力を認識する例えがよく用いられる。

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世界モデルの推進を特に強く発信しているのが“ディープラーニングの父”の一人として知られる計算機科学社のヤン・ルカン氏だ。

同氏は長年率いてきた米MetaのAI研究部門を離れ、仏パリに世界モデル専業のスタートアップ、AMI Labsを設立した。同社は3月、シードラウンドで約10億3000万ドルを調達し、9月下旬時点の調達前評価額は約35億ドルにまで達している。

そもそも世界モデルとは何か。

世界モデルとは、AIが物理法則や空間データを理解してシミュレーションできる技術だ。端的に説明するならば、大規模言語モデル(LLM)が「次の単語」を予測する仕組みで文章を生成するのに対し、世界モデルは「ある行動を取ったら世界がどう変わるか」を予測する。

世界モデルの概念を説明する際に「赤ちゃんは言葉を覚える前から、万有引力を認識する」という例え話がよく用いられる。

つまり、LLMはあくまで言語モデルにすぎない。言葉で伝えないと世の中の物理法則を認識できない。LLMは世界を見ることはできないのだ。

この点で、例外的なシチュエーションに遭遇しやすい現実世界での「運転」という動作に対しては、世界モデルの方が堅牢(けんろう)で信頼性が高くなり得る。現実世界の理解や作業が伴う「フィジカルAI」も同様だ。こうした背景から世界モデルが注目されている。

Waymo、世界モデル発の運転AIを実装 無人で3億キロ超を走破

Waymoは、世界モデルをすでに社会実装している。

2月6日、同社は英Google DeepMindの世界モデル「Genie 3」を基盤にした「Waymo World Model」を発表した。悪天候や障害物など実走行では遭遇しにくい「まれな状況」を仮想空間で生成し、運転AI「Waymo Driver」に数十億マイル分の仮想走行を積ませる仕組みだ。

What to Watch

AI outlook — possibilities, not facts

  • 世界モデルベースの運転AIが2027年までに限定的な都市部で商用サービスを開始する

    Likely · Within years

  • 主要な自動車メーカーが2028年までに世界モデル技術を自社の運転支援システムに統合する

    Possible · Within years

Open Questions

  • 世界モデルの実用化における具体的なタイムラインは何か
  • 規制当局は世界モデルベースのAIシステムをどのように評価するか
  • 他の自動車メーカーやテック企業は世界モデル技術にどのように対応しているか

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This article was originally published by ITmedia.

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