Summary
What FSL Enables
Here's what a meaning-centered AI can bring:
Establish a universal protocol for exchange
FSL provides a common layer to represent and exchange information with explicit meaning.
It ensures interoperability between human and technological actors, and across all kinds of semantic tools — from search to translation.
Make LLMs reliable and verifiable
LLMs can speak, but they don't always tell the truth: they hallucinate, contradict themselves, and evade control.
FSL introduces a clear semantic representation that reduces these errors, makes reasoning traceable, and allows precise control over outputs — even in sensitive contexts.
Structure texts at scale
FSL organizes documents, archives, and web content by meaning, making them easier to read and understand.
This opens the door to precise search, in-depth corpus analysis, stable interlingual translation, and automated monitoring at a global scale.
Build an open network of human knowledge and experience (PSQM)
FSL connects knowledge, ideas, and lived experiences in an open semantic mesh.
This makes it possible to navigate concept by concept, and explore similarities, opposition, causes, and effects.
Foster cooperation between intelligences
FSL in human/AI patterns in a space where intentions are explicit and comparable.
It enables clear and controllable cooperation, avoiding misunderstandings and biases, and prepares the ground for transparent shared reasoning based on meaning.
Invent the semantic systems of tomorrow
Like the early days of the Internet, FSL opens a field of yet-unknown applications.
It can become a fertile platform for new use cases, ecosystems, and innovations.