Le premier modèle d’IA de Mira Murati repose sur l’approche chinoise... Incroyable

Le premier modèle d’IA de Mira Murati repose sur l’approche chinoise... Incroyable

Mira Murati's first AI model relies on the Chinese approach... Incredible

🎙 AI Revolution en Français 👥 8K 📅 July 17, 2026 ⏱ 18 min 👁 2K 📄 news review 🧭 2026-09-07
Available in: English (current) Français

Keywords

InklingsThinking Machines LabMixture of Expertsopen sourcebenchmarks

Summary

The video reports on the release of Inklings, the first model from Thinking Machines Lab, founded by Mira Murati. It details the model’s architecture, a Mixture of Experts with 975 billion parameters, its training on 45 trillion tokens, and its open-weights availability under Apache 2.0. The video highlights that Inklings is not the top performer on standard benchmarks but emphasizes its efficiency and versatility, particularly for agentic tasks. It discusses the model’s epistemic training, which encourages it to express uncertainty, and its safety evaluations. The video also covers the model’s architectural debt to DeepSeek and the use of Chinese models for synthetic data, framing this as a reversal of the ‘Chinese labs steal US IP’ narrative. It analyzes the economic strategy of Thinking Machines, which focuses on a fine-tuning platform rather than API access, and the geopolitical context of US companies being pressured to avoid Chinese models. The video concludes with a preview of a smaller version, Inklings Small, and the availability of the model on various platforms.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a substantial amount of technical information about the model, including architecture, training details, and benchmark scores, which is valuable for an informed audience. The argumentation is structured and coherent, presenting a clear thesis about the significance of the model in the context of US-China AI competition. However, the video is not purely objective; it includes promotional segments and a strong editorial perspective. The argument that the model’s economic model is the real innovation is well-articulated, but the evidence is anecdotal and lacks rigorous analysis.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite specific sources directly, but the description includes a link to a financial platform and a Spotify podcast. The information appears to be based on the model’s release materials and public benchmarks, but the lack of direct citations reduces the scientific rigor. The title is somewhat sensationalist but accurately reflects the video’s focus on the surprising architectural choices and the geopolitical implications of the model. The video’s claims about the model’s performance and the geopolitical narrative are presented without external verification, which is a limitation.

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Title / Content Match

The title is somewhat sensationalist ('Incroyable') but accurately reflects the video's focus on the surprising architectural choices and the geopolitical implications of the model.

Quality & Reliability

6/10

The video is a news review that mixes factual reporting with promotional segments. It provides specific technical details and benchmark numbers, but lacks direct citations to primary sources. The analysis is opinionated, and the promotional content for a financial platform reduces overall reliability.

Key Moments

Cited Sources

  • Mintos (promotional link) — Promotional segment for a financial platform, not a scientific source.
  • AI Revolution en Français on Spotify — Link to the channel's podcast version of the video.

Concurring Sources

Dissenting Sources

  • OpenAI official blog — OpenAI has previously accused Chinese labs of distillation, which contrasts with the video's narrative of US labs using Chinese models.

Contribution & Novelties

The video provides a detailed overview of a newly released open-weights model, highlighting its architectural choices and the strategic implications for the AI industry. It offers a unique perspective on the reversal of the US-China AI narrative, as a US lab adopts Chinese architectural innovations.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in information quantity and technical level, indicating a content-rich video with substantial technical depth. However, the lower scores in information quality and global reliability reflect the promotional segments and lack of direct citations, suggesting a need for caution when using this as a sole source.

Reliability 5/10