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This article from Microsoft Unlocked details the collaboration between Microsoft and the Vatican Library to use digital technology and AI to preserve, digitize, and make accessible millions of pages of historic manuscripts.

This article analyzes the history of deep learning, explaining why its sudden and transformative success, starting around 2012, was unexpected by many experts in the machine learning field at the time.

This is a personal blog of Diana Leung featuring philosophical and analytical essays that explore a wide range of topics, including artificial intelligence, societal observations, psychological principles, and personal reflections on life and mortality.

“I think it’s long past time I start discussing “artificial intelligence” (“AI”) as a failed technology. Specifically, that large language models (LLMs) have repeatedly and consistently failed to demonstrate value to anyone other than their investors and shareholders. The technology is a failure, and I’d like to invite you to join me in treating it as such.”

Explores the author’s conflicted feelings towards the rise of generative AI in the software industry. Concludes with a sense of ambivalence, recognizing the power of these tools but lamenting their impact on the industry and his personal experience as a developer.

Explores the author’s conflicted feelings towards the rise of generative AI in the software industry. Concludes with a sense of ambivalence, recognizing the power of these tools but lamenting their impact on the industry and his personal experience as a developer.

ALISON GOPNIK: A very common trope is to treat LLMs as if they were intelligent agents going out in the world and doing things. That’s just a category mistake. A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions. We have been doing this for as long as we’ve been human. Language itself you could think of as a means that allows this. So are writing and the internet. These are all ways that we get information from other people. Similarly, LLMs give us a very effective way of accessing information from other humans. Rather than go out, explore the world, and draw conclusions, as humans do, LLMs statistically summarize the information humans put onto the web.

A conversational AI system that listens, learns, and challenges

The most important thing about making machines that can think is that they will think different.