Interview • Bruno Maisonnier, CEO et fondateur, AnotherBrain

Interview • Bruno Maisonnier, CEO et fondateur, AnotherBrain

Interview • Bruno Maisonnier, CEO and founder, AnotherBrain

🎙 Grand Est Numérique 👥 2K 📅 February 1, 2022 ⏱ 14 min 👁 393 📄 expert opinion 🧭 2026-10-09
Available in: English (current) Français

Keywords

deep learningindustrial quality controlhumanoid robotsAI singularityFrench tech

Summary

In this interview, Bruno Maisonnier, founder of AnotherBrain and previously creator of the NAO, Romeo, and Pepper robots, discusses his journey and new AI venture. He emphasizes French capability for disruptive engineering, citing successes like Aldebaran and lamenting the national tendency to fail at commercialization. Introduces AnotherBrain’s aim to develop a true AI, distinct from mainstream deep learning, which he describes as ‘brute force’ without real intelligence. The company’s initial application is industrial quality control, requiring only a few examples to learn defects, in partnership with Thyssenkrupp. Maisonnier argues that robots, if given real intelligence, will be ubiquitous, and addresses employment fears by noting that automation often creates local jobs, as seen in the French jeans industry. He defends the future of humanoid robots for communication, and discusses ethical risks, comparing AI to fire or electricity, advocating for regulatory adaptation. Concludes that France can lead in AI by leapfrogging with radical innovation rather than competing head-on with giants like Google.

160 words

Critical Evaluation

Value of the Information & Strength of the Argument

The interview provides valuable insights into the limitations of current deep learning and proposes an alternative paradigm. Maisonnier argues convincingly that deep learning requires massive datasets and is unsuitable for dynamic real-world scenarios, a point well-illustrated with the autonomous vehicle example. He presents a coherent, albeit high-level, argument for a different approach to AI, grounded in his entrepreneurial experience. While he offers anecdotal evidence (e.g., the jeans industry), he lacks quantitative data or rigorous comparisons. The argumentation is persuasive in inspiring French pride and innovation, but remains speculative regarding the technical feasibility and scalability of his ‘cortex’ model.

Scientific Rigor, Source Quality, Title Accuracy

The video is an interview with no external citations or links provided in the description. Maisonnier references his own enterprises (Aldebaran, AnotherBrain) and partner Thyssenkrupp, but does not cite scientific literature or independent studies. The title accurately reflects the content, as it is indeed an interview focused on his new company and broader viewpoints. The information quality is moderate, relying on personal authority rather than documented sources; the claim about ‘zero intelligence’ in deep learning is a simplified critique that lacks nuance, though it serves his rhetorical purpose. The anecdotal evidence is not independently verified, but the overall tone is that of an informed entrepreneur sharing a vision, not a peer-reviewed analysis.

225 words

Title / Content Match

The title accurately describes the video as an interview with Bruno Maisonnier, focusing on his role at AnotherBrain and his career in robotics.

Quality & Reliability

6/10

Bruno Maisonnier, a seasoned entrepreneur in robotics and AI, provides a credible but subjective perspective. He articulates his company's unique AI approach and its industrial application without detailed technical evidence, but draws on extensive practical experience. The interview is more visionary and strategic than rigorously scientific, and the claims are not backed by citations or data.

Key Moments

Cited Sources

  • Thyssenkrupp — Mentioned as a key industrial partner in the quality control project.

Contribution & Novelties

The interview contributes a practical, non-mainstream perspective on AI development, emphasizing the need for ’true intelligence’ over deep learning’s statistical pattern matching. Maisonnier’s background as founder of successful robots adds an authentic voice to the argument that AI must leapfrog generations rather than compete outright. The concrete industrial application shows an incremental path to deploying novel AI in real-world settings.

Pour aller plus loin :

104 words

Radar Profile

The radar profile is balanced with moderate scores across all dimensions, reflecting an interview that offers substantive information and technical discussion but lacks rigorous scientific grounding. The qualitative information and technical level are higher than the fiabilité, indicating a knowledgeable but subjective source.

Reliability 6/10