24 Articles about Relationships with AI

/

She built an AI bot of her mother to help her grieve – Rest of World

AI romance is not a bug It’s Big Tech’s most dangerous feature. – Fast Company

Could AI relationships actually be good for us?  - The Guardian

A religious fervor surrounds our relationship with technology. – New York Times 

Inside Google's vision to make Gmail your personal AI agent command center - ZDnet

AI Romance is Perverse – Christianity Today  

Man Who Had Managed Mental Illness Effectively for Years Says ChatGPT Sent Him Into Hospitalization for Psychosis – Futurism

They hear, but do they care? What AI can teach us about listening better – BBC  

People Are Paying $99 a Month to Talk to a Tony Robbins Chatbot – Wall Street Journal 

Recovering from AI delusions means learning to chat to humans again – Washington Post

AI companions: "The new imaginary friend" redefining children's friendships – Axios

A mom thought her daughter was texting friends before her suicide. It was an AI chatbot. – CBS News 

A teen’s final weeks with ChatGPT illustrate the AI suicide crisis - The Washington Post

A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots - PubMed

Empathetic, Available, Cheap: When A.I. Offers What Doctors Don’t – New York Times

Teens Are Saying Tearful Goodbyes to Their AI Companions - Wall Street Journal

The Biggest AI Companies Met to Find a Better Path for Chatbot Companions – Wired

Is AI making some people delusional? Families and experts are worried – LA Times

Instead of an AI Health Coach, You Could Just Have Friends – Wired

Admit it, You're in a Relationship with AI – Bloomberg

The People who Marry Chatbots – The Atlantic  

Google and Character.AI to Settle Lawsuit Over Teenager’s Death - New York Times

AI companions: "The new imaginary friend" redefining children's friendships - Axios

Here's Why You Shouldn't Let AI Run Your Social Life - TIME

Knowledge collapse

/

In a world where AI increasingly mediates access to knowledge, future generations might lose connection with vast bodies of experience, insight and wisdom. AI developers might argue that this is simply a data problem, solvable by incorporating more diverse sources into training datasets. While that might be technically possible, the challenges of data sourcing, prioritization and representation are far more complex than such a solution implies. - Deepak Varuvel Dennisonis

AI Definitions: Liquid Foundation Models

/

Liquid Foundation Models (LFM) – This type of AI has a smaller memory footprint but packs greater computational power than the transformer models found in most GenAI systems. Using fewer parameters and neurons than transformers, LFMs are designed to handle a variety of sequential data (such as text, video, and audio) with significant accuracy. LFMs do not rely on existing frameworks as transformers do. They are built from the ground up (that is, built on “first principles”).

More AI definitions 

17 Recent Articles about AI Fakes

/

18 Articles about AI & the Creative Arts

/

AI Definitions: Reinforcement Learning

/

Reinforcement Learning - Rather than being given specific goals, the AI is deployed into an environment where it can train with minimal feedback. This trial-and-error approach involves adjusting weights until high-reward outcomes are achieved. Desirable behaviors are rewarded, and undesirable behaviors are punished. It is similar to a person learning how to work through levels of a video game, searching for an effective strategy. This type of machine learning sits somewhere in between supervised (by humans) and unsupervised learning. Reinforcement learning is used in video game development and has helped robots adapt to new environments.  

More AI definitions

Writing your Own Eulogy

/

A visualization technique that asks people to write their own eulogy. It’s a technique that Daniel Harkavy, co-author of Living Forward, has been teaching executives for over 20 years.

Harkavy’s tip is to write your eulogy first as if your funeral was today and everything you’ve accomplished so far was all you ever would. “Picture your memorial service as if it were being held right now. Your casket is sitting center stage, and as you look down the center aisle you see the first three rows, usually reserved for those with whom we were closest. Who’s sitting there for you?” he asks. “Most likely your family and dearest friends. Now keep looking down the aisle, and now you’re looking at rows 10 through 20. Who’s sitting there? Probably acquaintances, clients, customers. What did you give to the people in these rows?”

Harkavy says when he walks clients through this exercise during his speaking engagements, they usually all say the same thing: “We gave them our best!” He then asks them what they gave to the people sitting in rows one through three–and their answers usually amount to “We gave them our leftovers.” In other words, their work-life balance is out of whack.

“When you go to write your eulogy, you need to be brutally honest. Don’t pull any punches. You want to really feel this,” Harkavy says. “What would those closest to you say about who you were, how you lived, and what you had to give them, and why would they say that?”

Michael Grothaus writing in Fast Company

LLMs Reflect Western Cultural Value

/

It should not come as a surprise that a growing body of studies shows how LLMs predominantly reflect Western cultural values and epistemologies. They overrepresent certain dominant groups in their outputs, reinforce and amplify the biases held by these groups, and are more factually accurate on topics associated with North America and Europe. - Deepak Varuvel Dennisonis

19 Articles about AI & Coding

/

AI Definitions: Vibe Coding

/

Vibe Coding – An LLM generates code that meets the specifications stated in the user's prompt. This is not the same as software development, where the user reviews the AI coding and can explain it. This type of coding uses natural language to communicate desired outcomes. Vibe coding platforms would include Claude Artifacts, Creator Hunter, and Cursor. While the goal is a finished product, in practice, this approach entails risks, such as hidden bugs and subtle security issues. Some degree of human oversight and refinement is still needed for most LLM-generated code outcomes to become production-ready.

More AI definitions

Three types of Perfectionists

/

A study measured three types of perfectionism: self-oriented, or a desire to be perfect; socially prescribed, or a desire to live up to others’ expectations; and other-oriented, or holding others to unrealistic standards. A person living with an other-oriented perfectionist might feel criticized by the perfectionist spouse for not doing household chores exactly the “right” way. Socially prescribed perfectionism is “My self-esteem is contingent on what other people think.”

Perfectionists tend to devalue their accomplishments, so that every time a goal is achieved, the high lasts only a short time, like “a gas tank with a hole in it.” 

There are also different ways perfectionism manifests. Some perfectionists are the sleeping-bag-toting self-flagellants, always pushing themselves forward. But others actually fall behind on work, unable to complete assignments unless they’re, well, perfect. Or they might self-sabotage, handicapping their performance ahead of time. They’re the ones partying until 2 a.m. the night before the final, so that when the C rolls in, there’s a ready excuse. Anything to avoid facing your own imperfections.

Olga Khazan writing in The Atlantic