Generative AI is growing quickly as individuals, corporations, and investors all try to stay ahead. The rapid change is creating optimistic visions of the future while also creating significant anxiety as people justifiably worry about their role in a future of abundant intelligent machines
AI will force us to broaden our view of intelligence. The real success in AI development will be in discovering forms of intelligence that go beyond anything we've known, transforming how we understand and interact with the world around us.
Recent research demonstrates through empirical evidence that GPT-4 can autonomously develop pricing strategies that edge towards collusion without explicit human direction or inter-firm communication.
Generative AI is growing quickly as individuals, corporations, and investors all try to stay ahead. The rapid change is creating optimistic visions of the future while also creating significant anxiety as people justifiably worry about their role in a future of abundant intelligent machines
AI will force us to broaden our view of intelligence. The real success in AI development will be in discovering forms of intelligence that go beyond anything we've known, transforming how we understand and interact with the world around us.
Recent research demonstrates through empirical evidence that GPT-4 can autonomously develop pricing strategies that edge towards collusion without explicit human direction or inter-firm communication.
On April 9th, we presented our research update on the State of AI & Complex Change which focused on confusion about AI, status of AI adoption and deployments, anxiety about AI, and AI in the Wild.
The Artificiality Weekend Briefing: About AI, Not Written by AI
The future of the extended mind is not a fixed destination but an ongoing journey that requires our active participation and reflection as we redefine what it means to be human in an age of artificial intelligence.
Complex change recognizes that change is non-linear, emergent, and deeply interconnected with the system in which it occurs. This is even more important as we adapt to the complexity of generative AI.
AI's potential is vast but many applications remain incremental, simply grafting AI onto outdated frameworks. This is why we embrace complexity. We think about designing incentives, understanding self-organization and distributed control, and planning for emergence and adaptation.
Enterprises face a critical choice in their generative AI adoption strategy: fine-tuning or Retrieval-Augmented Generation (RAG)? While fine-tuning has been the go-to approach for early adopters, a new study suggests that RAG may be the more powerful and sustainable path forward.
By enabling different AI models to 'speak' to each other and combine their strengths, CALM opens up new possibilities for solving complex problems across various domains and tackling tasks with expertise and precision, in a data and compute efficient way.
By emphasizing critical engagement, transparency, bias mitigation, deliberate decision-making, user autonomy, and continuous education, Microsoft's research offers valuable guidelines for designing AI systems that promote appropriate reliance and user empowerment.
In 2016, AI experts predicted radiologists would be obsolete within years as machines outperform humans. This did not transpire.
Slides and videos from our February 2024 research update for Artificiality Pro
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.
OpenAI isn’t just running fast & breaking things—it’s running with scissors. And that could be a major issue in 2024.
Enterprises are failing to see enough value add to justify purchasing new generative AI systems like Microsoft CoPilot. Why? Adapting to AI is a complex change that requires different methods for evaluation and change management.
Apple + Google is possibly the most important corporate frenemy relationship today. How these two companies establish their positions in generative AI is critical to watch. But how they re-position their partnership to include generative AI might be one of the most important events of the year.
In traditional media, the role of technology has been largely to convey, distribute, or modify content created by humans. Generative AI, however, is different from any previous technology because it is creating the messages itself.
Elon Musk's lawsuit against OpenAI and Sam Altman is the one time I would like to be on jury duty.
A guide for organizational transformation for generative AI. By taking these critical steps, organizations can lay the foundation for effective use, setting themselves up for future success in an increasingly AI-driven world.
Modularize tasks with generative AI to make them more achievable.
IBM's principles for generative AI applications underscore the necessity of a thoughtful, user-centered approach to designing GenAI applications.
Access all digitized human knowledge by exploring with generative AI.
An inteview with Angel Acosta, founder of the Acosta Institute.
An interview with Doug Belshaw about serendipity surface & AI.
An interview with Richard Kerris, Vice President of Developer Relations and GM of Media & Entertainment at NVIDIA, about AI, creators, and developers.
An interview with about the lulls and leaps of human imagination with Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced.
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Generative AI & Data Culture at the Starbucks Innovation Expo on May 14 & 15 in Seattle.
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Rethinking Value in the Age of AI at the EY Innovation Realized conference at the Palace of Fine Arts in San Francisco on April 16 & 17.
Artificiality Co-founders, Helen and Dave Edwards, will be attending the ASU+GSV Summit in San Diego on April 14 and 15.
The Artificiality Weekend Briefing: About AI, Not Written by AI
