
Tech • IA • Crypto
A new film about Facebook and Anthropic’s recent AI decisions reignite debates over Big Tech responsibility and control of advanced models.
Titled The Social Reckoning, this feature follows in the footsteps of The Social Network and the documentary The Social Dilemma. It focuses on the internal revelations of 2021, known as the Facebook Files, linked to whistleblower Frances Haugen. The film takes on a darker tone, centered on the platform’s societal effects.
Internal documents showed that Meta was aware of negative impacts on mental health and the spread of toxic content, while continuing growth strategies. These revelations sparked a wave of political and media criticism, calling the platform’s governance into question.
Some dispute this view, arguing the company invested heavily—with dedicated engineering teams and budgets exceeding $1 million per year—to limit negative impacts. The question remains open between structural responsibility and economic trade-offs.
Despite the controversies, Meta, valued at around $1.5 trillion, is unlikely to suffer economically. Advertising boycotts have historically failed, as the platform remains essential for ad performance (ROAS). Criticism could, however, affect its image in the medium term.
The new Fable 5 model impresses with advanced capabilities, especially in software development, but introduces strict restrictions in sensitive areas such as biology, cybersecurity, and AI research. Some requests are refused or redirected to less capable versions.
These limitations are presented as safety measures, but they also reflect competitive concerns. Preventing use of the model to create competitors or risky applications protects both the company and its market position.
Observers warn of possible intentional degradation of responses in certain domains without clear disclosure to users. This lack of transparency could undermine trust and fuel accusations of anti-competitive practices.
These choices strengthen arguments for stricter regulation, with some suggesting AI models could be treated as critical infrastructure. The tension between innovation, safety, and competition is becoming central to sector governance.
The market is evolving toward coexistence between highly powerful general-purpose models and lighter specialized ones. This diversification could include more on-device processing (edge computing), especially for uses like voice and data privacy.
Between cultural criticism and controversial technical choices, tech giants face growing pressure to balance innovation, responsibility, and transparency.