Conversation
A published long-form interview enters the source record.
A research project at the Center for Innovating the Future
Project goal
Turn CIF’s public conversation archive into an understandable, inspectable analysis of AI and human life.
Research in development. Evidence and findings have not been published.
Any episode can explain one person’s position. Understanding the field currently requires someone to watch the entire archive, compare different assumptions and reach conclusions across conversations that may never directly answer one another.
CIF will do that comparative work. The project analyzes the published conversations, identifies recurring positions, disagreements and unresolved questions, and develops CIF’s own conclusions from the record.
I conduct the long-form conversations and lead the synthesis through CIF. The Ayush Prakash Podcast supplies the public source archive.
A published long-form interview enters the source record.
Relevant statements retain their transcript, timestamp and surrounding exchange.
CIF compares positions, disagreements and evidence across the archive.
CIF publishes its analysis with a visible path back to every source.
Each published conclusion will link to the relevant transcript passage, exact video timestamp and surrounding exchange. Readers can inspect what was said before assessing CIF’s interpretation.
Those links make the context and reasoning auditable. They do not prevent disagreement with CIF’s analysis, and the report will distinguish a source’s words from CIF’s conclusions.
Capabilities, limits and unresolved technical questions.
Cognition, neuroscience, psychology, intelligence and human judgment.
Learning, skill, verification and work with automated assistance.
The assumptions and human values beneath AI development.
Accountability, regulation, rights, institutions and power.
What happens when AI enters products, workplaces and essential systems.
A public interface for understanding the status quo, following the evidence and seeing where expert judgment divides.
Where conversations from different fields repeatedly arrive at the same position.
Where researchers, policymakers, builders and critics divide, and why.
Where the archive cannot support a firm conclusion or evidence is missing.
How the record and CIF’s analysis develop as new conversations are added.
The First AI-Native Generation report should be accessible to the first AI-native generations.
Choose a question, understand CIF’s conclusion and see where the archive agrees or divides.
Open the source, context, competing interpretation and revision history behind every conclusion.
See how the analysis changes as conversations are added, corrected or withdrawn. Dated editions preserve the record at a specific moment.
Current status
CIF is still completing the corpus, source review, methodology and publication format. Working interview counts, names, provisional claims and internal analysis are not public findings.
The CIF project page will carry the authoritative status and, when ready, the public evidence.
View the project at CIF