AI音楽生成サービスの「Suno」が、プラットフォーム上で作成された楽曲を識別し、ダウンロードを制限し、模倣楽曲を防止するためのコミュニティガイドラインを更新するための新ツールを発表しました。

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ByteDance is reportedly training an AI model with roughly 10 trillion parameters as it tries to close the gap with leading frontier systems such as Anthropic's Mythos. The model is still in early pre-training, and its eventual performance will depend on more than scale alone, but the project underscores how aggressively Chinese firms are pushing frontier AI despite limits on access to advanced chips. The Next Web reports: The size is itself the statement. At roughly 10 trillion parameters, the model would be more than three times as large as Moonshot's Kimi K3, which sits among the biggest Chinese models today at about 2.8 trillion. [...] Parameter count is not everything, of course. Bigger models are not automatically better, and the industry has learned that data quality, training technique and efficiency often matter as much as raw scale. Even so, committing the compute to train a model this size is a declaration in its own right, a signal that ByteDance wants to compete at the very top rather than ship a capable also-ran.

Read more of this story at Slashdot.

「Wikipediaを大幅に上回ることになる」として、イーロン・マスク氏とxAIが満を持して開発・公開したオンライン百科事典「Grokipedia」で、修正提案の処理作業が停止状態にあり、提案された内容が「審査中」のままになっていると指摘されています。

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