24 Articles about Relationships with AI

How AI is Powering Modern Love – Axios

AI Relationships Are on the Rise. A Divorce Boom Could Be Next – Wired 

Ontario man alleges ChatGPT drove him to psychosis, leading him to the delusion that he could save the world. – CTV  

Are A.I. Therapy Chatbots Safe to Use? – New York Times

How people really use ChatGPT, according to 47,000 conversations shared online – Washington Post  

What if you're being manipulated? – Understandably  

The right place for AI companions in mental health care – Stat News 

They Fell in Love With A.I. Chatbots — and Found Something Real – New York Times

Character.AI to ban kids from talking to its chatbots – USA Today

AI for therapy? Some therapists are fine with it — and use it themselves. – Washington Post

‘I realised I’d been ChatGPT-ed into bed’: how ‘Chatfishing’ made finding love on dating apps even weirder- The Guardian   

With therapy hard to get, people lean on AI for mental health. What are the risks? – NPR

Many teens are turning to AI chatbots for friendship and emotional support – American Psychological Association 

Somebody to love: should AI relationships stay taboo or will they become the intelligent choice? - The Guardian   

ChatGPT Is Blowing Up Marriages as It Goads Spouses Into Divorce – Futurism

Next Time You Consult an A.I. Chatbot, Remember One Thing – New York Times

When I played doctor with the chatbot, the simulated patient confessed problems that are real—and that should worry all of us – New Yorker

How chatbots will likely develop as general life advisers. – Osmarks

‘I love you too!’ My family’s creepy, unsettling week with an AI toy - The Guardian  

AI Is Making Online Dating Even Worse – The Cut

People are starting to talk like ChatGPT - The Washington Post  

The family of teenager who died by suicide alleges OpenAI's ChatGPT is to blame – NBC News

People Are Having AI “Children” With Their AI Partners – Futurism

Teenage boys using ‘personalised’ AI for therapy and romance, survey finds – The Guardian

AI Definitions: Test-time training (TTT)

Test-time training (TTT) – Instead of being given truthful data to get an LLM model started in the right direction, TTTs learn by performing a task with the data. An alternative to transformers (which have high energy demands), TTTs only process more data faster, they can do so without consuming nearly as much computing power. Instead of growing as it processes data, like a transformer, it encodes the data into representations called weights. No matter how much data it processes, a TTT model won’t grow and become unwieldy.

More AI definitions 

Is an AI Relationship Cheating?

"Some 60 percent of singles now say AI relationships are considered a form of cheating, according to two recent surveys. As chatbot romances become more commonplace, causing irreparable rifts in relationships, a new legal frontier is emerging in family law that is rewriting the rules of marital misconduct: An AI affair is now grounds for divorce." -Wired 

Clint on Fear

It’s what people know about themselves inside is what makes them afraid. – Clint Eastwood in “High Plains Drifter”

26 Recent Articles about the Dangers of AI

Judge Horrified as Lawyers Submit Evidence in Court That Was Faked With AI - Futurism

Ontario man alleges ChatGPT drove him to psychosis, leading him to the delusion that he could save the world. – CTV

How would-be authors were fooled by AI in suspected global publishing scam - The Guardian

Report finds some AI-enabled toys shared inappropriate content or collected data – NPR

AI-designed viruses raise fears over creating life. - The Washington Post

An Economist Asked, How Much Should We Spend to Avoid the A.I. Apocalypse? - New York Times 

Is AI dulling our minds? Experts weigh in on whether tech poses threat to critical thinking, pointing to cautionary tales in use of other cognitive labor tools – Harvard

AI is reinventing crime and cops aren't ready – Axios  

AI’s infinite memory could endanger how we think, grow, and imagine - Amy Chivavibul 

Chinese hackers used Anthropic's AI agent to automate spying – Axios  

How A.I. and Social Media Contribute to ‘Brain Rot’ - New York Times 

It’s Easier to Cheat When You Can Blame AI – Wall Street Journal

A.I. is making death threats more realistic, enabling online harassers to generate images showing their victims in imagined violent situations. – New York Times 

US student handcuffed after AI system apparently mistook bag of chips for gun – The Guardian

Woman sent husband AI photos of intruder as a prank. He called 911. – Washington Post  

As tech companies build A.I. data centers worldwide, vulnerable communities have been hit by blackouts and water shortages. – New York Times

The Fight Over Whose AI Monster Is Scariest - Wall Street Journal 

‘I realised I’d been ChatGPT-ed into bed’: how ‘Chatfishing’ made finding love on dating apps even weirder – The Guardian 

ChatGPT Is a Fictional Character What makes OpenAI’s chatbot so dangerous? It’s a character without an author. – The Atlantic  

The A.I. Prompt That Could End the World - New York Times

How AI-powered hackers are stealing billions – The Economist

ChatGPT’s new parental controls failed my test in minutes - The Washington Post  

ChatGPT Is Blowing Up Marriages as It Goads Spouses Into Divorce – Futurism  

AI can design toxic proteins. They’re escaping through biosecurity cracks. - The Washington Post

When I played doctor with the chatbot, the simulated patient confessed problems that are real—and that should worry all of us  - New Yorker

A stunning scientific accomplishment: Computers can now design new viruses that can then be created in the lab - The Washington Post

AI Definitions: AI translator

AI translator (trust director) – People who understand AI well enough to explain its mechanics to others in the business, particularly to leaders and managers, so that they can make effective decisions. These workers will not only explain what the AI output means (especially when it is technical) but also how trustworthy the information and conclusions are. This role may fall under that of a compliance officer, helping organizations understand contracts and reports written by AI.

More AI definitions

Seeking the Best is a Trap

We have this sense that there is an objective best, and in virtually no area of life is that true. It’s not even that, “Well, there’s the best for me, and then there’s the best for you.” It isn’t even clear that there is a best for me. There’s a whole set of things that are probably more or less equivalent.

If you have this mindset that says, “I have to get the best,” it’s so hard to figure out what that is that you end up looking in panic around you at what other people are choosing as a way to help you figure out what is the best. I think it’s partly because they are struggling to define the best, and they can’t do it on their own, so they’re madly checking out other people’s decisions as a way of figuring out what really is the best. It’s extremely destructive.  

Barry Schwartz quoted in Vox

23 Recent Articles about the Impact of AI on Students

Universities are embracing AI: will students get smarter or stop thinking? – Nature

Professors, students divided over AI technology in classrooms – EdSource  

What Is Gen Z Supposed to Do When AI Takes Entry-Level Jobs? - New York Magazine

Yonsei University plans public hearing amid AI-linked cheating scandal - The Korea Times

College students are panicking about AI. Here’s why they shouldn’t – Fast Company

Their Professors Caught Them Cheating. They Used A.I. to Apologize. – New York Times

AI Is Teaching the Next Generation of M.B.A.s the Classic Case Study – Wall Street Journal  

University wrongly accuses students of using artificial intelligence to cheat - ABC News (Australia)

More college students are using AI for class. Their professors aren't far behind – NPR

This school district asked students to draft its AI policy – Washington Post

AI tutors coming to California Community Colleges - Axios 

AI safety tool sparks student backlash after flagging art as porn, deleting emails - Washington Post

AI Is Making the College Experience Lonelier – Chronicle of Higher Ed

How to ask sharper questions about AI in your kid's classroom -  Axios 

AI gives students more reasons to not read books. It’s hurting their literacy – Fast Company

10 Ways AI Is Ruining Your Students’ Writing – Chronicle of Higher Ed 

The Rapid Rise of AI in the Classroom – Plagiarism Today

College students are caught between 'AI gets you in trouble' and 'AI is the future' – Fast Company  

My Students Use AI. So What? – The Atlantic

These Students Are Using AI to Visualize Their Reading Comprehension – Education Week

AI Is Changing What High School STEM Students Study – Wired

Caught cheating in class, college students “apologized” using AI—and profs called them out – Ars Technica

Can AI keep students motivated, or does it do the opposite? – The Conversation

3000 AI Podcast Episodes a Week

"Inception Point AI, a startup with just eight employees is cranking out 3,000 episodes a week of AI podcasts covering everything from localized weather reports and pollen trackers to a detailed account of Charlie Kirk’s assassination and its cultural impact, to a biography series on Anna Wintour. It’s podcasting network Quiet Please has generated 12 million lifetime episode downloads and amassed 400.000 subscribers — so, yes, people are really listening to AI podcasts." -The Wrap 

Becoming

It's not about “being.”  It’s about “becoming.”

24 Articles about AI & Academic Scholarship

Evaluating AI guidelines in leading family medicine journals: a cross-sectional study – BMC

Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers? – arXiv

University of Hong Kong probes non-existent AI-generated references in paper; prof. says content not fabricated – Hong Kong Free Press  

An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI Reviewers - arXiv  

AI ‘Godfather’ hits record 1 million citations on Google Scholar - Semafor

Large language models in peer review: challenges and opportunities – Springer  

Authors self-disclosed use of AI in research submissions to 49 biomedical journals: A cross-sectional study - MedRxiv

arXiv Changes Rules After Getting Spammed With AI-Generated 'Research' Papers – 404 Media 

Letters to scientific journals surge as ‘prolific debutante’ authors likely use AI – Science.org 

Academic misconduct and artificial intelligence use by medical students, interns and PhD students in Ukraine: a cross-sectional study - BMC

From Language Barrier to AI Bias: The Non-Native Speaker’s Dilemma in Scientific Publishing – Scholarly Kitchen

Will AI + OA be OK? - Cabells 

Why AI transparency is not enough - Centre for Science and Technology Studies at Leiden University

AI tools combat paper mill fraud in scientific publishing as peer review system struggles – Chemistry World

AI-powered fraud: Chinese paper mills are mass-producing fake academic research - South China Morning Post

AI bots wrote and reviewed all papers at this conference – Nature  

Low-quality papers are flooding the cancer literature — can this AI tool help to catch them? – Nature

The chemistry community should ban drawing chemical structures with generative AI, chemists warn – Chemistry World

How ChatGPT-5 redefines scientific reproducibility.” – Elephant in the Lab

AAAI Launches AI-Powered Peer Review Assessment System - Association for the Advancement of Artificial Intelligence

Research commissioner appears to cite discredited study in AI speech – Science Business

AI in peer review: where to draw the line? – Research Professional News  

MIT takes down article on an AI platform for churches -MIT Technology Review 

Journal defends work with fake AI citations after Hong Kong university launches probe - South China Morning Post

AI Definitions: AI Consultants

AI consultants – This job involves helping businesses adopt and implement AI by offering a strategic roadmap, technical expertise, and project leadership. The AI consultant must facilitate communication between a company’s departments to marry technical knowledge with business needs. After the deployment of AI, it is their job to help set up ways to monitor the outcomes. Besides possessing a robust AI education, the AI consultant will have to stay on top of trends and changes in the industry.

More AI definitions

When Children Ask “Why?”

Children not only need to hear our conclusions, but they also need to know the thought process that got us to those conclusions. They need context. Offering only orders and rules is not teaching.

It's hard work to articulate the why. Some parents hesitate out of fear. Perhaps they will discover our secret weaknesses or find flaws in our reasoning. Rather than hiding our imperfections, if we let them know we are fallible as they are, we share with them a common bond and an authentic honesty. Rather than just opening their heads and pouring in our truths, we can help them make the marvelous discovery that they have something to contribute to our lives as well. We are fellow strugglers, learning how to live right in a confusing and challenging world.

Stephen Goforth

An AI illusion of Safety

A.I. suggestions “work covertly, sometimes very powerfully, to change not only what you write but what you think.” The result, over time, might be a shift in what “people think is normal, desirable, and appropriate.”  We often hear A.I. outputs described as “generic” or “bland,” but averageness is not necessarily anodyne. Vauhini Vara, a novelist and a journalist whose recent book “Searches” focusses in part on A.I.’s impact on human communication and selfhood, told me that the mediocrity of A.I. texts “gives them an illusion of safety and being harmless.” - Kyle Chayka writing in The New Yorker

The Red Marks

A news story I wrote for a graduate class was returned to me covered in red marks. I had a choice of one of two reactions: I could have said to myself, "Well, I can't do this." I could have thrown up my hands, given up, and moved on to something else. The assumption being that either I could write well or I couldn't write well, and once I put my talents on display, we would know which one was true.

But there is another way to react: I could decide to adjust, change my strategy, and learn from the professor's feedback. This attitude assumes that learning is not about fixed intelligence, but rather a matter of persistence. This pathway requires the student to humble themselves, ask questions, and struggle.

This process is especially difficult to accept if your ego is riding on whether you can perform new tasks effortlessly from the start. The alternative is to see yourself as a person of value and worth, regardless of performance. Of course, if God declares you to be of value simply because you are you, who are you to argue?

Stephen Goforth

22 Articles about how AI is Affecting Jobs

What Is Gen Z Supposed to Do When AI Takes Entry-Level Jobs? - New York Magazine  

AI Won’t Replace You — But Your Predictability Will. Here’s How to Stay Irreplaceable. - Entrepreneur

The Boss Has a Message: Use AI or You’re Fired – Wall Street Journal

AI Broke Interviews – Yusuf Aytas

OpenAI looks to replace the drudgery of junior bankers’ workload - Bloomberg

Miran says impact of AI on labor ‘very difficult’ to predict - Semafor

Here’s what will really affect jobs in the age of AI – Washington Post

Recruiters Use A.I. to Scan Résumés. Applicants Are Trying to Trick It. – New York Times

AI-Generated “Workslop” Is Destroying Productivity – Harvard Business Review  

Big Tech Told Kids to Code. The Jobs Didn’t Follow. (podcast) – New York Times 

AI is taking on live translations. But jobs and meaning are getting lost. - Washington Post

Artists are losing work, wages, and hope as bosses and clients embrace AI – Blood in the Machine

AI is causing anxiety about the future of the workforce. But are there AI-proof jobs? – NPR

AI is supercharging Gen Z workers — if they can land a job - Washington Post 

AI job anxiety: It's real, and coming at the worst time – Axios

A new sign that AI is competing with college grads – The Atlantic

5 ways job seekers can improve their AI literacy - Washington Post 

The Computer-Science Bubble Is Bursting – The Atlantic  

Bosses are seeking ‘AI literate’ job candidates. What does that mean? - Washington Post 

AI-generated ‘workslop’ is here. It’s killing teamwork and causing a multimillion dollar productivity problem, researchers say – CNBC

Automation comes for tech jobs in the world capital of AI - Washington Post

Laid Off to Launch: A Toolkit for Journalists - News Revenue Hub

25 Recent Articles about AI & Journalism

Will AI Replace Journalists Or Test Their Integrity? What MIT Researcher Said - NDTV

Inside Reuters’ agentic AI video experiment – Digiday

A.I. Sweeps Through Newsrooms, but Is It a Journalist or a Tool? – New York Times

X Is Using AI Fact-Checkers – Columbia Journalism Review

Trust Networks as Antidote to AI Slop - Pawel Brodzinski

Largest study of its kind shows AI assistants misrepresent news content 45% of the time – regardless of language or territory – BBC

‘Existential crisis’: how Google’s shift to AI has upended the online news model – The Guardian

New ChatGPT writing guidelines at Axel Springer-owned Business Insider - Status

How AI will upend the news – Semafor

Can the news industry stop AI theft? It might be a long shot. – Washington Post

Wired and Business Insider remove ‘AI-written’ freelance articles – Press Gazette 

I Tested How Well AI Tools Work for Journalism - Columbia Journalism Review

What's behind the TikTok accounts using AI-generated versions of real Latino journalists? – NBC News  

The first copyright challenge by a major Japanese news publisher against an AI company. - Harvard’s Nieman Lab

Inside the quiet takeover of local journalism by AI - Fast Company

Newsrooms tap AI experts - Axios

What is AI reading? Takeaways from a report on AI brand visibility – MuckRack 

Politico’s recent AI experiments shouldn’t be subject to newsroom editorial standards, its editors testify – Harvard’s Nieman Lab

Parkland Shooting Victim Recreated as AI for Jim Acosta Interview. – The Guardian

If AI Won't Follow the Rules, Should the Media Even Try? – Fast Company  

AI presents challenges to journalism — but also opportunities - The Harvard Gazette  

Most journalists use AI; few newsrooms have policies – Editor & Publisher

AI-generated news sites spout viral slop from forgotten URLs – Harvard’s Nieman Lab

Prompting tips for journalists using AI image generators – JournalismUK

Major Study Finds Many Mistakes in AI-Generated News Summaries – TV Tech

What Causes Technological Adoption

Popular culture presents consumer technology as a never-ending upward progression that continuously makes things better for everybody. In reality, new tech products usually involve a set of tradeoffs where improvements in areas like usability or design come along with weaknesses in areas like privacy & security. Sometimes new tech is better for one community while making things worse for others. Most importantly, just because a particular technology is “better” in some way doesn’t guarantee it will be widely adopted, or that it will cause other, more popular technologies to improve.

In reality, technological advances are a lot like evolution in the biological world: there are all kinds of dead-ends or regressions or uneven tradeoffs along the way, even if we see broad progress over time.

Anil Dash

10 Weaknesses We All Share

These biases are broad tendencies rather than fixed traits or universal behavioral laws. Everyone does not uniformly share them. Plus, multiple influences contribute to a given behavior. Agents of fake news attempt to exploit these natural biases.

1. FALSE MEMORIES. Studies have shown we are susceptible to false memories. We selectively remember our own experiences, much less historical and cultural events. Planting fake memories has become easier these days with AI-enhanced photo and video forgeries on the internet.   

2. CONFIRMATION BIAS. We tend to seek information that confirms what we already believe to be true. Do I want to believe this report because it is well-sourced and reported, or because it fits with what I already believe?  

3. CORRELATION VS CAUSATION. Just because events or statistics have a connection does not mean we can assume one is the cause of the other.

4. WE OVERVALUE NARRATIVE. Placing a fact in the context of a story increases the likelihood that people will believe it—even when the story limits the likelihood of the fact being true. We are drawn to tidy, clear stories and not ambiguity. 

5. FOOLED BY RANDOMNESS. Humans tend to read meaning into the unexpected and the improbable, even where there is none.   

6. OVERSIMPLIFICATION. To avoid conflict and uncomfortable thinking, we oversimplify to reduce tension. Soon, one side looks good, and the other is dismissed as evil.  

7. SUNK COST FALLACY. We hang on to a course of action or an idea when we have invested in it being true, even when circumstances and reasoning show we should abandon it.

8. GOOGLE SEARCH RELIANCE. Google is not neutral. When you Google something, the algorithm isn’t weighing facts but various factors, such as your search history. Google tailors your results to what you want—or what the search engine “guesses” you want. Because of this personalization, you are probably getting different results than the person sitting next to you. Be critical of search engines as you are critical of the media. Don’t assume the first link or the first page that comes up when you Google something is the best answer to your question.

9. AVAILABILITY BIAS. This shortcut for making quick decisions gives your memories and experiences more credence than they deserve, making it hard to accept new ideas and theories. If it exists close to us, it seems more real or more important.  

10. REGRESSION TO THE MEAN. The is an understanding that while there are highs and lows, the data will mostly likely return to the “mean” or average before long. Just because you are coughing and sick from a cold today it is not reasonable to assume you will remain in this state forever. You will return to your normal state in a matter of time.      

AI Definitions: AI Trainer

AI trainer (or AI tutor) – This is the job of helping the AI find and digest the best, most useful data and then teaching the AI to respond in accurate and helpful ways. When AI companies were launching, they often used workers in poor countries to perform tedious data labeling, but now there's demand for more specialized knowledge. Some companies are paying significant hourly rates for high-skilled experts to share their expertise. This includes those in computer science, real estate, law, medicine, writing etc. They are asked to judge AI for their respective fields.

More AI definitions