Latest news (Page 12)

An abstract image of a factory making decisions

AI and Decision Factories

AI's potential is vast but many applications remain incremental, simply grafting AI onto outdated frameworks.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.

Research paper on RAG vs fine-tuning

Why RAG Beats Fine-tuning AI

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.

Research review of the paper LLM Augmented LLM

AIs That Understand Other AIs

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.

An abstract, close-up image of a dog's nose

Umwelt

AI could help humans appreciate the diverse perceptual worlds of animals by simulating their senses and thought processes.

An abstract image of a courthouse

Trust vs. Anti-Trust

I agree with the government that antitrust is important. That said, I would hate to see data privacy and security diminished just as we are trying to take advantage of AI’s power to be a personalized digital partner.

Charter Pro: Making Decisions with Generative AI.

Charter

Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Making Decisions with Generative AI with our friends at Charter on April 10.

The Medium is Creating the Message

The Medium is Creating the Message

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.

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