AI Detector Ban

Indiana University's Kelley School of Business explicitly states that AI detection tools are not approved for use because they are "highly unreliable" and can produce both false positives and false negatives. Instead of trying to catch students using AI, the university is encouraging professors to rethink how they teach and assess student work in the age of generative AI. -Tom’s Guide

17 Surprising Things AI Can Do Now

26 Recent Articles about the Dangers of AI

How to Fight AI Brain Rot at School? For One Country, It’s With Free ChatGPT – Wall Street Journal  

These AI models are free, private, and will never say 'no' – NPR  

Claims that China and overseas propaganda drive Americans to rise up against data centers are based on scant evidence. – Washington Post  

Why A.I. Safety Controls Are Not Very Effective – New York Times

AI Has Broken Containment - The Atlantic 

AI license plate cameras tore this town apart and led to a state of emergency - Washington Post

The world must stop AI from empowering bioterrorists – The Economist

Scammers targeting missing pet owners with AI – ABC-7

Deepfakes Are Coming for Your Bank Account OpenAI made the perfect tool for scammers. - The Atlantic

ChatGPT Wrestles With Its Most Chilling Conversation: How Do I Plan an Attack? - Wall Street Journal 

5 AI Models Tried to Scam Me. Some of Them Were Scary Good - Wired

A secretive AI hacking system has sparked a global scramble – Washington Post

Five Concerns About AI Data Centers, and What to Do About Them – Data Innovation

AI can design viruses, toxins and other bioweapons. How worried should we be? – Nature

Inside a growing movement warning AI could turn on humanity - The Washington Post

Behind the Curtain: The kids aren't AI-right - Axios 

AI Is Finding Bugs That Hackers Can Exploit. Get Ready for Bugmageddon. - Wall Street Journal 

A.I. Is on Its Way to Upending Cybersecurity – New York Times

"Too Powerful to Release": The Greatest Marketing Playbook in AI – AI in the News

Four Reasons New AI Data Centers Won’t Overwhelm the Electricity Grid - ITIF

Over 4,732 Messages, He Fell In Love With an AI Chatbot. Now He’s Dead. - Wall Street Journal   

AI Is Using So Much Energy That Computing Firepower Is Running Out - Wall Street Journal 

Claude Mythos Is Everyone’s Problem - The Atlantic 

Creating Baby Geniuses to Thwart the AI Threat? (Yes, Really.) – Mother Jones

We ranked the most environmentally damaging things you can do online. AI didn't top the list – Science Focus

43 Articles on Career Advice

5 skills young professionals should master - Glassdoor

5 Ways to Demonstrate Your Value — Remotely - HBR

Actionable Advice For Young People Starting Out Their Careers - Forbes

The best way to show off your emerging A.I. skills to land a job - CNBC

Building Your Intellectual Toolbox: Career Advice from the Experts - Council on Foreign Relations

The Career Advice No One Teaches High Achievers - Inc

Common misconceptions about MBAs - ZDnet

Don’t Focus on Your Job at the Expense of Your Career - Harvard Business Review

Don’t Just Pay Interns, Help Them Build Networks - Harvard Business Review

Essential advice for landing your dream job - Fast Company

Find Work You Love by Identifying Your Unique Angle - LifeHacker

Gen Z is Hungry for Career Advice. But Their Parents Are Lost Themselves - TIME

Giving Career Advice to Kids Has Never Been Harder - Wall Street Journal

Google’s ‘Career Dreamer’ uses AI to help you explore job possibilities – Tech Crunch

Harvard researcher shares key skill of the future—that most people don't have - CNBC

How do you launch a journalism career in the middle of a pandemic? - Poynter

How to Break Up With Your Career - Wall Street Journal

How Much Time Can I Take Off Between Jobs? - Harvard Business Review

How to get your career moving: lessons from a behavioural scientist - Financial Times

How to Improve Your Career Development - US News

How to Recover from a Toxic Job - Harvard Business Review

How to Tell You're About to be Laid Off - Life Hacker

How to Vet a Remote Workplace - Harvard Business Review

The Journalists of Color Resource Guide

Journalism Mentors

Journalist Guide to Survival: Five ways to thrive on your first job - RTDNA

LinkedIn CEO: Ignore this common piece of career advice—it’s ‘outdated’ and ‘a little bit foolish’ - CNBC

Losing Passion for Your Job? Why Quitting Might Be the Right Move - Harvard Business School

One Piece of Career Advice Changed Everything - Inc

Our Top 6 Pieces of Career Wisdom for Recent Grads - First Round

The Personal Business of Being Laid Off - HazLitt

Pros and Cons of Working From Home - US News

How to Recover from a Toxic Job - Harvard Business Review

The Secret to Retaining the Best Employees: Ask Them These Four Questions - Wall Street Journal

A Survival Guide for Dealing With a Bad Boss - Wall Street Journal

These are the signs that you're in a toxic work environment - CNN

The top 10 skills you need to land a job right now, according to LinkedIn - CNBC

These 5 skills are AI-proof and likely to become more valuable ‘over the next 5 years,’ says Oxford-trained career expert - CNBC

Tips for Using AI Tools in Technical Interviews - IEEE

Well-meaning advice to new grads often makes the job search more stressful—what actually helps: Harvard psychologist - CNBC

What Reporters Should Do Before and After a Layoff - Education Writer’s Association

What’s a good (and bad) way to leave your job? - FT

Your Career Is Just One-Eighth of Your Life - The Atlantic

More Job Tips

21 Recent Articles about AI & Data Science

Why satellite imagery falls short for AI training data

How to Write Robust Code with Claude Code

Recursive Language Models: An All-in-One Deep Dive

It’s worth revisiting fundamental ideas from probability theory and examining where common assumptions about AI reliability begin to break down.  

White House Approves a secret $9 Billion request for Spy Agencies to Catch Up on A.I.  

Six Choices Every AI Engineer Has to Make (there are production trade-offs that only appear once your model is live)  

Germany is launching military AI into space

Why sandboxing OpenClaw doesn’t stop data exfiltration

Five fundamental concepts that every Python developer should have in their toolkit.  

How AI Agents Will Transform Data Science Work in 2026

How to undo Git actions with confidence

"Should we process our data in batches or in real-time?" The answer depends on another question: "When does the answer matter?"  

Making Claude Code validate its own work  

How to Build an Efficient Knowledge Base for AI Models

Re-thinking human–machine interaction and the governance of AI in the military domain

How insertion and deletion errors disrupt data synchronization in modern communication systems   

NRO says proliferated satellite architecture exceeding expectations

How AI Tools Generate Technical Debt — and What to Do About It  

To accelerate adoption of commercial technology, NGA has established a Rapid Capabilities Office 

Tech firms are partnering up under an initiative called Coalition Edge to push analytics, cloud infrastructure and connectivity closer to the battlefield

Claude Code is leaking API keys into public package registries

Flattened Writing

My version of “human” is no longer acceptable. What’s actually happening is not AI detection; it’s enforcement. We’re enforcing a narrow, flattened version of what “human writing” is supposed to look like. For emerging writers, it doesn’t just challenge their credibility; it destabilizes their confidence before they’ve even had the chance to build it. It tells them that their voice is not something to develop, but something to dilute until it passes inspection. -Denise Zubizarreta writing in Technical.ly

AI definitions: AGI (Artificial General Intelligence)

AGI (Artificial General Intelligence) – A machine that has the capacity to understand or learn any intellectual task that a human being can. Rather than focusing on solving specific problems (like Deep Blue, which was good at chess), this type of AI has broader uses and may possess seemingly human-level intelligence to learn and adapt. Scientists have had difficulty defining human intelligence and disagree as to what would count as AGI. Regardless of where they draw the line, most experts say AGI is at least decades away. Scientists have no hard evidence that today’s technologies can perform even some of the simpler things the human brain can do, like recognizing irony or feeling empathy. Beyond AGI lies the more speculative goal of "sentient AI," where the programs become aware of their existence with feelings and desires.

 More AI definitions

Denialism and Science

Denialism, and related phenomena, are often portrayed as a “war on science”. This is an understandable but profound misunderstanding. Certainly, denialism and other forms of pseudo-scholarship do not follow mainstream scientific methodologies. Denialism does indeed represent a perversion of the scholarly method, and the science it produces rests on profoundly erroneous assumptions, but denialism does all this in the name of science and scholarship. Denialism aims to replace one kind of science with another – it does not aim to replace science itself. In fact, denialism constitutes a tribute to the prestige of science and scholarship in the modern world. Denialists are desperate for the public validation that science affords.

While denialism has sometimes been seen as part of a post-modern assault on truth, the denialist is just as invested in notions of scientific objectivity as the most unreconstructed positivist. Even those who are genuinely committed to alternatives to western rationality and science can wield denialist rhetoric that apes precisely the kind of scientism they despise. Anti-vaxxers, for example, sometimes seem to want to have their cake and eat it: to have their critique of western medicine validated by western medicine.

The rhetoric of denialism and its critics can resemble each other in a kind of war to the death over who gets to wear the mantle of science. The term “junk science” has been applied to climate change denialism, as well as in defence of it. Mainstream science can also be dogmatic and blind to its own limitations. If the accusation that global warming is an example of politicised ideology masked as science is met with indignant assertions of the absolute objectivity of “real” science, there is a risk of blinding oneself to uncomfortable questions regarding the subtle and not-so-subtle ways in which the idea of pure truth, untrammelled by human interests, is elusive. Human interests can rarely if ever be separated from the ways we observe the world.  

I do not believe that, if only one could find the key to “make them understand”, denialists would think just like me. If denialists were to stop denying, we cannot assume that we would then have a shared moral foundation on which we could make progress as a species.

Keith Kahn-Harris, Denial: The Unspeakable Truth  

19 Webinars this week about AI, Journalism & Media

Mon, June 1 - Vibe Code Your Media Feed

What: We will highlight several functional, educator-created vibe-coded media curation platforms, and consider how we can experiment together in building the kind of community-driven, serendipity-friendly information environments we, our students and our colleagues deserve.

Who: Wesley Fryer, a middle school STEM and media literacy middle school teacher at Providence Day School in Charlotte, North Carolina.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Media Education Lab

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Tue, June 2 - Finding opportunities in political journalism

What: Insights into the newsrooms’ operations of our guests and what they look for in job applicants and potential colleagues. Attendees will learn what types of jobs exist within the broad spectrum of political journalism, how to stay motivated among trends in hiring, and which skills are worth gaining or adapting to match real-world opportunities.

Who: Coy Draytona, editorial recruiter for Axios; Dave Clarke, policy editor for Punchbowl News.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: National Press Club Journalism Institute 

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Tue, June 2 - Filtered In: Navigating AI-Powered Hiring Practices

What: How is artificial intelligence being used for hiring, and why? How can better understanding of how these tools work improve the hiring experience for employers and job seekers?  The event will discuss trends in how tools are used and offer tips that attendees can use while navigating the hiring process.  

Who: Hilke Schellmann, investigative reporter and Pulitzer Center grantee.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Tue, June 2 – Your Organization Is Not Ready for AI. Here's Why

What: The hidden execution gaps that determine whether AI transforms your organization or quietly makes things worse. You'll walk away knowing exactly what "readiness" actually means, why your current approach to AI adoption is missing the most critical variable, and what to do about it.

Who: Tim Ohai Founder and Sr. Principal, Kupu Solutions.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, June 2 - What is a creator journalist? And why we should be paying attention

Who: Liz Kelly Nelson, Project C and The Independent Journalism Atlas.

When: 4 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: The Center for Scholastic Journalism at Kent State University & Trusting News.

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Wed, June 3 - Disaster-ready media and information ecosystems

What: This session will introduce UNESCO’s Model Disaster Preparedness and Response Plan for Media Institutions and seek to equip media with the tools to adapt and apply it in their own organisations. The session will highlight how disaster-ready media can uphold journalistic standards, counter information disruptions, and help communities, especially those most at risk, retain access to trusted, life‑saving information before, during and after disasters.

When: 9 am, Eastern

Where: Zoom

Cost: Free

Sponsors: Public Media Alliance & UNESCO

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Wed, June 3 - Creating Workspace Agents for Higher Education Staff/Admin

What: This webinar is on how staff and administrators can identify, scope, build, test, and safely use Workspace Agents for recurring operational workflows. We’ll start with the basics: what Workspace Agents are, how they work, and when they are a better fit than a regular ChatGPT conversation or reusable skill. Then we’ll walk through how to choose a strong first use case, define the sources and review steps an agent needs, build a first version, and improve it through testing and feedback

Who: Andrew Glenn, AI Deployment Manager, OpenAI.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: OpenAI Academy

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Thu, June 4 - How to become a science journalist

What: Whether you’re an established journalist keen to explore scientific subjects or a scientist hoping to hone in on your science communication skills, this class will outline the basics of science journalism, from pitching to best practices for creating accurate, reliable and engaging science news.

Who: Pandora Dewan, Trending News Editor, Live Science.

When: 7:30 am, Eastern

Where: Zoom

Cost: members, £10; nonmembers, £20

Sponsor: Women in Journalism

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Thu, June 4 - Reporting and story editing for impact with Pro News Coaches

What: An intensive seminar on deadline reporting and editing. This skills-intensive, one-day immersion event is designed to strengthen breaking-news reporting and fast-turnaround editing through guidance and hands-on practice.

Who: Kimberly S. Johnson, Corporate Editor, The New York Times; Jo Craven McGinty, Former science bureau chief, The Wall Street Journal; Cory Schouten, NYC-based editor, writer, and content strategist; Jennifer Smith, SVP, Director of Content & Editorial Strategy, Greentarget; Chris Winans, Former editor, The Wall Street Journal.

When: 10 am, Eastern

Where: Eventbrite

Cost: Free

Sponsor: Center for Cooperative Media

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Thu, June 4 - From infrastructure to revenue: How telcos are monetizing AI

What: Our experts will explore how telcos are building out AI-ready infrastructure and turning these investments into revenue streams. We’ll cover the scale of the computing opportunity, the impact of AI workloads on network architectures and service portfolios, and real-world examples of how operators are deploying AI infrastructure today.

Who: Kerem Arsal, Senior Principal Analyst; Julia Schindler, principal analyst; and Brian Washburn, chief analyst, all at Omidia.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Omdia

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Thu, June 4 - Genuine Learning in the Age of AI: A Panel Discussion

What: Our panel of educators will discuss how they are adapting to AI, along with principles and practices for navigating its impact on learning.

Who: Karin L. Heffernan, MLIS Campus Faculty Librarian, Associate Professor Southern New Hampshire University.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Clarivate

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Thu, June 4 - Investigating the Impact of Chatbots on Mental Well-Being

What: We explore the methods panelists used to plan and execute their investigations.

Who: Patricia Clarke, AI Fellow, Pulitzer Center; Livia Garofalo, Data & Society Research Institute; Briana Vecchione; Joanna S. Kao who leads the Pulitzer Center's AI Accountability Network.

When: 12:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Thu, June 4 - Housing Journalism for Everyone

What: In this panel, attendees will learn:  What’s happening nationally in housing and homelessness, essential data tools every journalist should know to report on housing, how to find housing stories in any community, ethical sourcing practices, and examples of strong housing journalism.

Who: Juan Pablo Garnham, the Communications and Policy Engagement Manager for Eviction Lab; Camila Vallejo, a bilingual communications specialist with the Eviction Lab.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: Online News Association & the Eviction Lab at Princeton University

More Info

 

Thu, June 4 - Production at the Speed of AI: Scaling Creative Without Sacrificing Trust

What: What You Will Learn: How to scale AI-driven creative production without compromising brand trust or governance; A new model for brand–agency collaboration that accelerates speed and decision-making; Practical ways to balance velocity, creative excellence, and risk in modern marketing.

Who: Alex Lemley, Global Brand Lead NetApp; Rod Sobral, Global Chief Creative Officer, OLIVER; Corey O'Brien, Head of Solutions, OLIVER.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: ANA

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Thu, June 4 - Honing Your Voice: Scripting Secrets

What: We’ll delve into scripting for hosted video, considering as different approaches for scripts and prompting hosts, how to transform your longer form reporting into video formats, script durations, how to think about hooks and the first 15 seconds, text on screen, and how to guide reporters without a video background to film/host video.

Who: Katrina Pham, Audience Engagement Reporter, Borderless Magazine.

When: 4 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Video Consortium

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Thu, June 4 - Freelancing with ADHD: Productivity Strategies That Actually Work

What: This session for neurodivergent journalists will help you assess difficulties, deal with pressure and offer tips to keep you calm while you thrive and achieve clarity and control.

Who: Jen Brdlik, a neurodivergent life coach, former mental health therapist, and an ADHD and autism specialist.

When: 6 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

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Thu, June 4 - AI on LinkedIn: What to Do and What to Avoid

What: You’ll learn how to strategically use AI to define your value proposition, build a compelling personal brand, and optimize your LinkedIn profile—without losing authenticity or credibility.

Who: Lynne Williams is the Executive Director of the Great Careers Network.

When: 6 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Small Business Development Center, Widener University

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Fri, June 5 - Using AI to improve newsgathering

What: How newsrooms can ethically use AI to boost their news products.

Who: Sean Mussenden, Interim Director of the Howard Center for Investigative Journalism, Merrill College, University of Maryland; Derek Willis, Lecturer in Data and Computational Journalism; Eli Wohlenhaus, Director of Digital and AI News Strategy at Adams Multimedia.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: University of Maryland

More Info

 

Fri, June 5 - Climate Reporting 102

What: We'll discuss what data can be used to tell stories about climate change and how you can gather and vet that data.

Who: Mara Hoplamazian is a climate, environment and energy reporter at New Hampshire Public Radio.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

More Info

AI definitions: Small Language Models

Small Language Models (SLMs) – Requiring less data and training time than large language models, SLMs have fewer parameters, making them more useful on the spot or when using smaller devices. Perhaps the best advantage of SLMs is their ability to be fine-tuned for specialized tasks or domains. They are also more useful for enhanced privacy and security and are less prone to undetected hallucinations. Google’s Gemma (designed for developers) is an example.

More AI definitions

22 Articles about the Business of Running an AI

Anthropic has surpassed OpenAI as the most valuable artificial intelligence company - New York Times 

OpenAI readies cyber, misinformation defenses ahead of elections – Axios

CNN sues Perplexity over alleged AI copyright theft - CNN

A One-Stop Shop for A.I. Models Raises $113 Million - New York Times

Tracking the spend and revenue of frontier AI companies - Is AI profitable 

How Google Is Starting to Win the A.I. Race – New York Times

These 5 charts show how ChatGPT is flooding our lives – Washington Post 

OpenAI Bought Company That Offered A.I. Tools for Cloning Voices – New York Times 

Teaching AI models to say “I’m not sure” - MIT

Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I. – New York Times  

Anthropic overtakes OpenAI in workplace AI adoption - Axios 

Meta’s Embrace of A.I. Is Making Its Employees Miserable – New York Times   

For Palantir, AI Is a Product, a Punching Bag—and a Problem - Wall Street Journal 

Google Says Criminal Hackers Used A.I. to Find a Major Software Flaw – New York Times

Pennsylvania sues Character AI, says chatbot poses as doctors – Reuters  

Apple Reaches $250 Million Settlement Over Claims It Misled People on A.I. – New York Times  

Google updates AI search to include quotes from Reddit and other sources – Tech Crunch

Meet Mark Zuckerberg’s Right-Hand Man Who’s Unleashing AI at Meta - Wall Street Journal 

OpenAI releases new default ChatGPT model aimed at reducing hallucinations in law, medicine, finance, and other technical fields - Tech Crunch 

Five book publishers and a best-selling novelist accused Meta of stealing their work to help train A.I. models. – New York Times

The death of AI idealism - Axios 

Start-Up Raises $1.3 Billion for an A.I. electrical ‘Grid’ – New York Times