Face à la course aux armements entre OpenAI et Anthropic, découvrez comment les agents autonomes transforment vos workflows pour piloter vos outils.

On passe de l'IA qui discute à l'IA qui agit : avec le 'computer use', le modèle ne se contente plus de cracher du texte, il voit votre écran et interagit avec le système d'exploitation comme un humain le ferait.
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.
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.
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.
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.
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.
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From Columbia University alumni built in San Francisco
