Conducting smarter intelligences than me: new orchestras | Notion

Introducing Orchestra

A New Cognitive Architecture

Introducing Orchestra

A New Cognitive Architecture

Education for collective intelligence

Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to ...

What's new in Orchestra: MCP, Braintrust (0.0.26)

Introducing an MCP Adapter for Orchestra agents

Intelligence Per Watt: A Study of Local Intelligence Efficiency

Jon Saad-Falcon*, Avanika Narayan*, John Hennessy, Azalia Mirhoseini, Chris Ré

What Makes Us Smart?

Human creativity does not solely rely on our individual cognitive abilities, but instead emerges from the recombination of ideas, practices, and approaches that result from social interactions and id...

Jeff Mills Drifts Into the Cosmos

AI is the latest of a long succession of tools trying to make things easier for us, and it’s always been there, and it’s always affected the music. Maybe we didn’t fear as much, but musicians just have to be more creative and to be more elusive.

A Cascade of Conscientiousness

Launching FAI's new Physical Intelligence Project

Beyond the Individual: Understanding the Evolution of Collective Intelligence

This chapter outlines the evolution of collective intelligence, starting from its ancient roots and concluding with modern digital platforms. It discusses intelligence theories, project examples, and the impact of technology on collaborative efforts. Key focuses include the role of the internet and online communities in boosting our collective IQ, with a particular emphasis on Douglas Engelbart's contributions and the open-source movement, as exemplified by Linux's development. The chapter examines how digital transformation has facilitated new forms of community and knowledge sharing, significantly influencing fields such as management, decision-making, and organizational learning. Various scholars and their definitions of CI are discussed, including Pierre Lévy's vision of universally distributed intelligence and the concept of swarm intelligence in biological sciences. We then move on to practically implemented CI projects, exploring crowdsourcing as a manifestation of CI in business and social projects and examining possibilities of harnessing the wisdom of crowds for problem-solving and innovation. The chapter concludes with a presentation of the current state of collective intelligence academic research.

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)

A core part of human intelligence is the ability to work flexibly with others to achieve goals. The incorporation of artificial agents into human spaces is making increasing demands on artificial intelligence (AI) to demonstrate and facilitate this ability. However, this kind of flexibility is not well understood because existing approaches to intelligence typically construe this either as an individual-difference trait or as a property of groups. We argue that by focusing either on individual or collective intelligence without considering their dynamic interaction, existing conceptualizations of intelligence limit the potential of people and AI systems. To address this impasse, we propose a new kind of intelligence, 'socially minded intelligence', that can be applied to both individuals and collectives. We outline how socially minded intelligence might be measured and cultivated within people, how it might be modelled in AI agents, and how it might be applied to other intelligent systems.

Commodity Intelligence

The seductiveness of “general intelligence” is rooted in a costly category error

How ‘Jagged Intelligence’ Can Reframe the A.I. Debate

A.I. has always been compared to human intelligence, but that may not be the right way to think about it. What it does well can help predict what jobs it may replace.