Question 1

What is "Computer Use" in GPT-5.4 and how does it differ from previous AI?

Accepted Answer

Unlike older models that only generate text, GPT-5.4 features native "computer use" which allows it to interact directly with an operating system. It "sees" the screen through rapid screenshots, identifies buttons and text fields, and simulates mouse clicks and keyboard strokes. This allows the AI to perform complex workflows across different software—like opening Excel, running formulas, and sending emails—without needing specific APIs or connectors for each application.

Question 2

How does the performance of these new AI agents compare to human capabilities?

Accepted Answer

In recent benchmarks like OSWorld-Verified, which tests navigation and software manipulation on a PC, GPT-5.4 achieved a score of 75%, officially surpassing the average human score of 72.4%. Additionally, in high-level multidisciplinary reasoning tests such as "Humanity's Last Exam," models like Claude Opus 4.6 are now outperforming humans and previous AI versions, demonstrating a more structured "brain" for complex legal or biochemical analysis.

Question 3

What are the legal protections for employees regarding AI in the workplace?

Accepted Answer

Under the European AI Act effective August 2026, AI used for recruitment or employee evaluation is classified as "High Risk," requiring strict documentation and human oversight. French labor law also dictates that any AI monitoring must be proportionate; permanent surveillance is prohibited. Furthermore, employees have a "right to an explanation," meaning employers cannot make 100% automated decisions that impact a career—a human must be able to explain the reasoning behind an AI's suggestion.

Question 4

How can professionals protect sensitive data when using these tools?

Accepted Answer

The script emphasizes a "golden rule": never input confidential data, client files, or trade secrets into public or free versions of AI like ChatGPT or Claude. Once data is sent to these public models, the user loses control over it, which can lead to dismissal for professional misconduct. Instead, businesses should deploy "Enterprise" or "Pro" versions that offer secure, sandboxed environments compliant with data protection standards like GDPR and SOC2.

Question 5

What is "Adaptive Thinking" and how does it impact AI efficiency?

Accepted Answer

Adaptive Thinking is a feature in models like Claude Opus 4.6 that allows the AI to scale its reasoning depth based on the complexity of the task. For simple questions, it responds quickly to save resources; for complex bugs or architecture, it "pushes" its reflection time. Similarly, GPT-5.4 uses a "Thinking" architecture that displays its reasoning plan, allowing users to correct it mid-task, which has resulted in an 18% reduction in errors and nearly 50% savings in energy and token costs.

L'IA passe à l'action : des milliards aux agents autonomes

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