The question we should continually insist on asking ourselves, both as makers of tools and users of them, is how they can help us improve the flow of love. Do they connect us with each other, and reinforce our instincts to treat each other as moral ends? Do they help us convey our love out into the world through information and interfaces, or help us know when we are being offered any?

I get what he’s saying, and there’s some nice prose here, but to me it seems like a whole lot of jibber-jabber. AI is making even the smartest people in my blogroll a bit loopy.

Amazon has shut down an internal company leaderboard which ranked employees based on how much they used AI tools at work. Amazon’s official announcement said that it ended the leaderboard because it had accomplished its goal of encouraging employees to use AI tools, but multiple Amazon employees told me they suspect the company shut down the leaderboard because it was easily cheated and because it encouraged wasteful and expensive use of AI tools. Some of those employees acknowledged to me they deliberately cheated to climb the leaderboard’s ranks; in one case, an employee said they cheated after being told by management they weren’t using AI enough.

The exploit shows the extreme risk of offloading technical support to AI.

Every engineer on the Instagram team who allowed this to happen should be ashamed.

via: https://arstechnica.com/ai/2026/06/meta-ai-support-chatbot-gave-hackers-access-to-notable-instagram-accounts/

Python tool for converting files and office documents to Markdown. - microsoft/markitdown

Techno-cynics are all just wounded techno-optimists.

Stay up to date with the latest Google AI experiments, innovative tools, and technology. Explore the future of AI responsibly with Google Labs. Google Labs serves as the showcase and testing ground for experimental and early-stage products and features developed by Google, allowing users to try new ideas before they are widely released.

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.