A full process for turning research signals into interface decisions without confusing correlation with instruction.
CEO de Arcadia by InferentOctober 24, 2026Latest
A selection of the latest publications from Inferent Research.
Understanding LLM behavior requires separating the context supplied at inference time, the memory a product stores, and the reasoning pattern a workflow creates around the model.
Scalable digital services are built by coordinating product clarity, reliable architecture, operations, and local context before growth makes every mistake expensive.
Digital transformation becomes durable when a traditional business improves decisions, workflows, and customer trust together instead of treating technology as a standalone renovation.
Arcadia analyzes UNAM’s 2026 Control Exam results: demand, campus-level competition, minimum scores and the context behind the data.
Personal AI becomes meaningful when privacy, useful memory, low latency, and user control are designed as one product rather than four promises.
The durable future of cryptocurrencies will be decided by useful settlement, transparent rules, and infrastructure that earns trust over time.
Democracy depends on institutions that can receive citizens’ experience, turn it into public decisions, and explain what changed—and why.
A sourced guide to responsible campaign data: where analytics can improve civic information, where targeting and measurement fail, and which privacy safeguards build trust.
— All publications shown —
Research topics
After the latest ideas, browse Research conversations grouped by area.
Topic
Artificial intelligence, models and their social consequences.
Scope, data, permissions and adoption for an internal assistant that supports work without becoming an opaque authority.
A method for crossing language boundaries without treating translation, coverage or terminology as neutral.
A claim-level approach to sources, confidence, contradiction and human review in AI-assisted analysis.
Topic
Technology, infrastructure and the systems shaping everyday life.
How evidence can move into a prototype without losing the uncertainty that made the opportunity worth testing.
A human-centered approach to workflow redesign, automation and the operational details that software alone cannot fix.
Architecture, validation and technical debt for teams that want a first product without building a disposable prototype.
Topic
Argument-led essays and points of view from Inferent contributors.
A full process for turning research signals into interface decisions without confusing correlation with instruction.
A diagnosis of the conditions in which a clearer decision model is more valuable than another build sprint.
The operating model behind publishing with confidence when many people, languages and sources touch the same article.
