A Shrinking World
/People shrink their world in order to avoid facing their incompetence. -Stephen Goforth
20 Articles about Cover Letters & Personal Statements
/3 common cover letter mistakes—and how to fix them: One ‘takes literally less than a minute’ - CNBC
5 Online Cover Letter Templates - Make Use Of
6 Cover Letter Hook Templates That Actually Stand Out - Her Campus
6 mistakes job seekers should avoid when using AI for résumés, cover letters, and networking - Business Insider
AI Is Killing the Cover Letter - Knowledge at Wharton
Can you tell the difference between these AI and human-written cover letters? - Archinect
Cover Letter for a Job I Don’t Want but Will Be Offended Not to Get - The New Yorker
Hiring Experts Reveal Why Cover Letters Aren’t Dead (Yet) - Forbes
How AI is breaking cover letters - The Economist
How ChatGPT can help or hinder your job application - CTV
How to get ChatGPT to write you a killer cover letter that doesn't sound like it was AI-generated - Business Insider
How to Write an Amazing Cover Letter - Entrepreneur
How to Write an Entry Level Cover Letter - GlassDoor
I had ChatGPT write my resume, LinkedIn Summary and cover letter — then asked Gemini if I would get the job - Tom’s Guide
In Praise of Cover Letters - Inc.
RIP cover letters - Business Insider
A simple guide for writing the perfect cover letter - USA Today
Write the Perfect Cover Letter With This Template - GlassDoor
Your CV Should inform. Your Cover Letter Should Persuade - The Chronicle of Higher Ed
Writing a Compelling Cover Letter or Personal Statement - University of Utah
AI definitions: Causal Inference
/Causal Inference - The scientific method for determining the cause-and-effect relationship between variables. Causal AI is the software application of that science. Getting to an exact cause can be difficult. A 2021 study found that even in reputable medical journals, a quarter of the published papers failed to identify the correct cause. This is one reason why an AI model can have a high degree of accuracy and still make poor recommendations. If a model is determined to be “accurate,” it means the AI is effective at identifying patterns. However, “accuracy” provides no information about whether those patterns will continue during intervention. In other words, is it possible for machine learning to make a good prediction, but not identify the cause accurately. Note: Most machine learning applications work fine without causal reasoning and do not need that added layer of engineering. It’s when the AI moves from pattern recognition to decision-making that causal reasoning can become essential.
The Point of Life
/The point of life is not to become a more satisfied shopper. -Rod Dreher
CEOs & Profs are Using A.I. Doubles
/Consultants and executive coaches who don’t have the bandwidth to address every inquiry are referring some clients to their A.I. doubles. Harvard Business School professors have incorporated A.I. versions of themselves into courses and office hours. And executives are using their A.I. avatars to address employees in other countries in their own languages. - New York Times
20 Webinars this week about AI, Journalism, & Media
/(And one weekend event on free speech)
Mon, June 8 - Work Smarter with AI Agents - Build them with Octonous
What: This session will explore Octonous, Mozilla.ai's agent platform, and learn how to build AI agents tailored to your team's workflows. No technical skills required. Just bring your curiosity.
Who: Caroline Bohu, Solutions Engineer at Mozilla.ai.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Mozilla.ai
Mon, June 8 - Why Your Website Matters More Than Ever
What: Walk away knowing: Where your website is silently losing donors and what to fix first; What today's funders and supporters actually expect when they land on your site; The practical steps to turn your website into your hardest-working team member; How to make meaningful improvements without a massive budget or a full rebuild.
Who: David Pisarek, CEO of Wow Digital.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Techsoup, Canada
Tue, June 9 - Santa Marta and the Future of Climate Journalism
What: A discussion about the recent Santa Marta conference focused on transitioning away from fossil fuels — and the future of climate journalism.
Who: Keisuke Katori, Senior Staff Writer, Asahi Shimbun; Saorla McCabe, Advisor on Communication and Information Strategy and Policy, UNESCO; Phil Newell, Communications Co-Chair, Climate Action Against Disinformation; Elena González, Local Television Engagement Manager, Covering Climate Now; Kyle Pope, Executive Director of Strategic Initiatives & Co-Founder, Covering Climate Now.
When: 9:30 am, Eastern
Where: Zoom
Cost: Free
Sponsors: CCNow & UNESCO
Tue, June 9 - The Future of Learning Isn’t Content, It’s AI, Simulation, Coaching and Judgment
What: How learning teams can help employees develop judgment, operational fluency, and the human skills AI can’t replace. As AI becomes increasingly capable of prediction and information generation, the real differentiator will be a workforce that knows how to interpret, apply, question, and act on AI-driven insights.
Who: Karl Kapp, Director, Institute for Interactive Technologies, Bloomsburg University.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: ELB Learning
Tue, June 9 - 'Investigating the Ocean' Webinar Series: 'How To Track Ships Like a Pro Using OSINT'
What: This session dives into vessel tracking and maritime monitoring using open-source intelligence. Journalists will learn how ships move, how to follow them in real time, and how to detect suspicious behavior such as illegal fishing, transshipment, or AIS manipulation. The session will also introduce satellite imagery and remote sensing tools to monitor ocean activity beyond what vessels report themselves.
Who: Fernanda Buffa, Pulitzer Center; Davide Mancini ORN Fellow; Federico Acosta Rainis, Pulitzer Center.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pulitzer Center
Tue, June 9 - Trauma-informed Reporting: A Mental Health Reporting Project
What: Master trauma-informed reporting to cover mental health with accuracy, empathy and impact.
Who: Lisa Armstrong, Assistant Professor, UC Berkeley.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Poynter
Tue, June 9 - Social Media Boot Camp, Part 1
What: We’ll teach you practical tips and tools for extending your cause and mission via social media. We cover the basics of using social media for your nonprofit organization and give you handy tips for the most useful social media platforms for nonprofits.
Who: Kiersten Hill, Director of Nonprofit Solutions.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Firespring
Tue, June 9 - Let's talk AI-powered conversion propensity models
What: Lessons learned from the panelists’ work and an open the discussion about what's worked and how they've experimented in this space.
Who: Chicago Public Media's Ellery Jones, Aditi Mukund, and Mark Chonofsky.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Online News Association
Tue, June 9 - Rise of independent journalists: Q&A with creators Levi Ismail and Chelsea Cox
Who: Levi Ismail, Creator and NewsChannel5 journalist; Chelsea Cox, Content creator journalist.
When: 4 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Center for Scholastic Journalism at Kent State University & and Trusting News
Wed, June 10 - LinkedIn for Small Business
What: In this session, you’ll learn how to optimize your profile to attract ideal clients, create content that gets seen without spending hours online, and turn connections into real business conversations. Whether you’re launching your first business or scaling an established one, you’ll walk away with a practical 30-day action plan to make LinkedIn work for your business goals.
Who: Karen Seymour, Founder and CEO of KJS Digital Marketing.
When: 10 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Small Business Development Center, Temple University
Wed, June 10 - The Future of Medical Writing: Applying AI Through a Human-Centric Lens + Demo
What: This session provides a practical view of how organizations can move from experimentation to scalable impact—while keeping medical writers central to the process.
Who: Melissa Morine, Senior Staff AI Staff Engineer, Weave Bio; Nancy Smith, RAC SVP, Medical Writing Services, Syner-G.
When: 1 pm, Eastern
Where: Zoom
Cost: Free to members
Sponsor: American Medical Writers Association
Wed, June 10 - Encouraging Self-directed Learning in Your Online Learning Environment
What: This webinar to help you define self-directed learning, identify barriers within your online learning environment, and make changes so that learners can drive their professional growth.
Who: Jeremy Tuttle, Director of Learning Design at Niche Academy.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Niche Academy
Wed, June 10 - AI Has a Black Problem
What: We'll look into how AI sees race, why it matters more than most people realize and what it looks like to navigate a world that's increasingly being built by machines trained on our blind spots. We'll talk about who's at the table when these technologies are created, who's missing, and why that gap has real consequences for our communities.
When: 7 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Luna
Thu, June 11 - Ask Me Anything: 2026-2027 AI Accountability Network Fellowships
What: Learn more about joining the fifth (2026-2027) cohort of our Al Accountability Fellowships.
Who: Joanna S. Kao, Pulitzer Center; Si Err Yap, AI Fellow; Maria Karienova, Pulitzer Center.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Pulitzer Center
Thu, June 11 - You Are the Experience: What Your Audience Actually Responds To
What: You’ll experience firsthand what truly captures attention, builds connection, and invites participation. Through a series of intentional moments, we’ll explore five specific experiences that consistently spark audience response and how to bring them to life using the tools available to you.
Who: Kassy LaBorie speaker, author, Virtual training pioneer.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Aha Slides
Thu, June 11 - The KPI Reset: Measuring What Actually Matters
What: This session focuses on how publishers can move beyond surface-level metrics and build KPI frameworks tied directly to financial outcomes.
Who: Reilly Kneedler, an AlignSimple data and audience analytics expert.
When: 2 pm, Eastern
Where: Zoom
Cost: $35
Sponsor: Online Media Campus
Thu, June 11 - Public Sector Social Media: How to balance Creativity and Constraint
What: Whether you're a seasoned social media pro or you're just dipping your toes into the digital waters, you'll walk away with actionable tips, new friends in social . . . and maybe even a giveaway prize!
Who: Jake MacDonald, Hey Orca!
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Hey Orca
Thu, June 11 - Social Media Boot Camp, Part 2
What: Now it’s time to use social media to stand out from the crowd. You’ll learn a few advanced social media tips and tricks, elevate your social media presence through micro strategies and activate your advocates.
Who: Kiersten Hill, Director of Nonprofit Solutions.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Firespring
Fri, June 12 - Codex for Faculty and Researchers
What: Explore how faculty and researchers can use Codex to move from a research question or teaching need to a working prototype faster. This session will show practical workflows in higher education. We’ll focus on realistic academic use cases, including how to give Codex clear context, review its work, and keep humans in control of research quality and reproducibility.
Who: Gaurav Kaila, AI Deployment Manager, OpenAI.
When: 10 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Open AI Academy
Fri, June 12 - AI & the Creation: Friends or Foes?
What: A moderated discussion and theological responses to the ways in which AI can contribute to planetary flourishing and the ways in which AI contributes to environmental concerns.
Who: Greg Cootsona, Executive Director of AI and Faith; Jim Stump, the Vice President at BioLogos; Sharon Talbot, marketing strategist; Leslie Herrmann, a scholar-advocate; Braden Molhoek, the Director of the Center for Theology and the Natural Sciences
When: 5:30 pm, Eastern
Where: Zoom (hybrid)
Cost: Free
Sponsors: The Center for Theology and the Natural Sciences at the Graduate Theological Union & New College Berkeley.
Sat, June 13 - Free Press Workshop 2026
What: Learn how to assert your right to press freedom and use the law to improve your reporting. This event is open to current undergraduate and graduate students at U.S. colleges and universities, with a special focus on those involved in journalism. Attendees will hear from experts in the field about the importance of student journalism and how to protect a free and open press.
When: 9 am – 5:30 pm
Where: In person (WHYY, Philadelphia)
Cost: Free
Sponsor: FIRE (Foundation for Individual Rights and Expression)
Only the Brave
/Only the brave can endure suspense. -American journalist and author Mignon McLaughlin (born June 6, 1913)
AI definitions: Prompts
/Prompts – These instructions for an AI are the main way to steer it in a particular direction, indicate intent and provide context. Prompting can be time-consuming when the task is complex, but better prompts elicit richer and more robust responses. Prompt strategies include assigning the AI a role, an attitude and a style.
14 Articles about How AI Works
/What Are A.I. Agents Actually Doing? - New York Times
AI can now 'see' optical illusions. What does it tell us about our own brains? – BBC
Can A.I. Generate New Ideas? – New York Times
Generative AI has access to a small slice of human knowledge - Aeon Essays
What is AI reading? Takeaways from a report on AI brand visibility – Muck Rack
Do LLMs identify fonts? – Max Halford
Researchers claim their AI ‘thinks’ like a human — after training on 160 psychology studies – Nature
Why LLMs don’t think like you: A look at the compression-meaning trade-off – BD Tech Talks
Little-known cells might be key to human brain’s massive memory: This could be a “fresh source of inspiration” for AI technology – Washington Post
Beyond algorithms: Agentic AI and the behavioral data scientist – Tech Radar
We Don’t Really Know How A.I. Works. That’s a Problem. - New York Times
What Happens When People Don’t Understand How AI Works – The Atlantic
What is AI, how does it work and why are some people concerned about it? – BBC
The Links Cited by AI
/"The 'What is AI Reading?' Report looks at 1 million+ links cited by AI models. It says about 99% of links cited by AI come from non-paid media. Paid and advertorial content account for just 0.3% of all citations." -MuckRack
A Dozen Articles about Legal Issues Around Jobs
/13 Illegal Job Interview Questions - Finance Buzz
If I take a remote job, can I later be forced into an office? - Washington Post
How to navigate a non-compete agreement during your job search - Fast Company
The illegal job interview questions you can't ask in 2026 - Business Journals
Illegal Interview Questions You Should Never Ask Job Applicants - HR Morning
A Nationwide Ban on Noncompete Clauses - The Regulartory Review
There is no right to remote work - University of Cincinnati
Social Media and Employee Firings: What Employers Need to Know - JD Supra
Trump strips job protections from 8,000 federal workers - NPR
Who Pays for Gig Workers Injured on the Job? - Legal Examiner
Why at-will employment matters to you - Palm Beach Post
Without Cause Termination Clause - Chronicle of Higher Education
AI definitions: World Models
/World Models – These are AI systems that build up an internal approximation of an environment. Through trial and error, these bots use the representation to evaluate predictions and decisions before applying the results to real-world tasks. This contrasts with LLMs, which operate on correlations within language rather than on connections to the word itself. In the late 1980s, world models fell out of favor with scientists working on artificial intelligence and robotics. The rise of machine learning has brought interest in developing these systems back to life.
18 Articles about AI’s impact on Business Operations
/The Small-Business Owners Managing Whole Armies of A.I. Employees - New York Times
When everyone has AI and the company still learns nothing - Robert Glaser
A.I. Doesn’t Have to Mean Layoffs – New York Times
How the AI backlash could cost investors – Axios
California’s Governor Signs A.I. Order Aimed at Protecting Workers – New York Times
What layoffs hide about the real problem with the job market – Washington Post
Anthropic overtakes OpenAI in workplace AI adoption – Axios
Generative AI can boost performance for stronger business owners but harm those already struggling. - MIT
Rising AI Adoption Spurs Workforce Changes – Gallup
AI Is splitting CEOs into two camps: Lay Off Workers or Make Them Do More – Wall Street Journal
New Microsoft study: Leaders, not workers, are responsible for successful AI integration – Fast Company
How AI Helps the Best and Hurts the Rest – MIT
AI Is Distorting Practically Everything About the Economy – Wall Street Journal
AI Is changing the price of work – Semafor
What Happens When A.I. Runs a Store in San Francisco? – New York Times
The AI Splurge Is Costing Big Tech Its Workforce – Wall Street Journal
AI can cost more than human workers now – Axios
Meta’s AI agent for WhatsApp Business is now available globally – Tech Crunch
Capturing Passion
/Passion must be captured and directed in order to accomplish actual work. -Rick Karlgaard
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
/A Famous Math Problem Stumped Humans for 80 Years. AI Just Cracked It. – Wall Street Journal
I Tried to Sell My House With a Chatbot – New York Times
BBC World Service to launch new language offers in Hungarian and Romanian – BBC
Wearables increasingly look to AI to predict health problems before they happen – Seattle Times
Etsy launches app within ChatGPT to facilitate conversational shopping experience – Retail Brew
New Browser Plugin Adds Typos to Your AI-Generated Emails to Make Them Look Real – Futurism
AI is being used in South Korea to make care calls to older adults who live alone and to fight dementia - New York Times
Using AI to map homelessness - Axios
New AI Approach Reveals Ocean Currents in Unprecedented Detail – UCSD
AI do? Weddings turn to AI but miss human touch - Axios
Google Tracks Flash Floods With a New AI Tool – Wall Street Journal
These people used AI to help find their lost pets – Washington Post
AI Learns to Smell – Wall Street Journal
Spelman College students developing AI tool designed to help people talk to their plants – CBS News
AI has powerful uses for First Nations oral cultural knowledge – PopSci
Anthropic’s AI Hacked the Firefox Browser. It Found a Lot of Bugs. – Wall Street Journal
Using AI to Scan Resumes
/A recent survey by Resume Builder found that four in five companies are using AI to scan resumes, two in five are using chatbots to communicate with candidates, and one in five is giving AI interviews. – The Atlantic
Participate
/Participate in co-creative relationships.
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
Throwing AI at Problems
/The corporations buying A.I. access for themselves are finding that you cannot solve problems just by throwing A.I. at them. It takes work to structure a problem in a way that allows A.I. to be useful, just as it took work, in previous generations, to integrate I.T. into a company or redesign a factory to take advantage of electricity. -New York Times