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The DeAngelis Review

Exploring Symmetries in Life and Practice

A.I. & The ‘Clash of the Technology Titans’

This week, Steve was featured on Schwab Network hosted by Nicole Petallides, where he discussed tech and A.I. trends in focus. Steve notes that MSFT, META, and GOOGL are working to build the largest possible knowledge bases with factors that could differentiate competitors in the A.I. space. Steve also discusses AI and the future of work.

In Memoriam: C. Gordon Bell

This article commemorates the life and achievements of Gordon Bell, a pioneer in computer science. It highlights his contributions to the development of minicomputers, his work at companies like DEC and Microsoft, and his numerous awards and innovations in computing.

The AI Arms Race Shifts Focus: Enterra Solutions at the Forefront of Specialized Data Acquisition

Artificial intelligence is rapidly evolving from general-purpose models to specialized ones that require domain-specific data. As featured in a recent Fast Company article, Enterra Solutions is at the forefront of this shift, focusing on acquiring specialized data in areas like healthcare and finance. The company provides services to help clients identify, acquire, and leverage this data to enhance their AI capabilities, positioning themselves as a key player in the future of AI development.

The AI arms race may soon center on a competition for ‘expert’ data

Training data scraped from the web may have been OK for the first wave of large language models, but as competition increases, more and better data will be needed.

Does AI Pose an Existential Threat?

This article discusses the potential risks associated with artificial intelligence, including its amplification of human errors, impact on societal institutions, and potential for misuse. It explores various expert opinions and proposals for managing AI development and governance internationally.

Thieves and Abusers are Ruining Supply Chain Returns for Everyone

This article discusses the challenges retailers face with product returns, including fraudulent practices and their financial impact. It explores strategies to manage returns effectively, such as using AI to predict and process returns, and the importance of consumer-friendly return policies.