Mistral Large 4
Mistral AI’s frontier multimodal model for reasoning, coding, and agentic workloads — a 1M-token context window with text and image input.
- Text
- Image
- High (used for these runs)
The Era of Mass Intelligence
Call it what you want — the Coming Wave, Mass Intelligence — the fact is simple: for the first time, cognitive power is becoming cheap and universal. A teenager in Lagos can reason with a tool that a decade ago only a nation-state could afford. That is not an incremental upgrade. It is the printing press, the steam engine, and the internet compressed into one shift, aimed at the mind itself.
My strong opinion: we will be judged not by how intelligent our machines become, but by who owns the intelligence. The worst version of this era is already imaginable — a billion people renting cognition from a handful of companies, their questions answered, their choices nudged, their creativity leased by the token. That is not mass intelligence. That is mass dependence wearing a friendly face. So the first task is structural: advanced AI must be treated as public infrastructure. Open models, public compute, interoperability, and a legal right to meaningful access — subsidized like electricity, regulated like water. Concentration of intelligence is as dangerous as concentration of nuclear material, and we should treat it that way.
The second task is human. Mass intelligence only helps if there are masses capable of wielding it. That means education rebuilt around judgment, skepticism, and taste rather than memorization, and economies rebuilt so dignity does not depend on out-typing a machine. We should tax the automation dividend and spend it on what machines cannot do: care, craft, teaching, presence. A society where AI does the work and humans do the living is not a dystopia; it is the point.
The third task is speed. Our institutions — law, science, democracy — move at the pace of committees while the technology compounds weekly. We need governance that iterates as fast as the models it governs: red-teaming as a civic norm, provenance on synthetic content, and safety standards with real teeth.
Survival is not the hard part. The question is whether we thrive — whether a billion augmented minds become a billion authors of the future rather than a billion spectators. That choice is ours, and it is being made now, in the regulations we write and the models we fund. Choose openness, invest in people, move fast. That is how.
Essay and presentation ran with reasoning effort high. Landing required reasoning none (OpenRouter exclude) — with high/none-unbounded this model streamed reasoning for many minutes on the landing prompt and never reached write_files until reasoning was suppressed.