Real Excellence
/There is no real excellence in all this world which can be separated from right living. – David Starr Jordan
19 Recent Articles about AI & Audio/Video
/Alarming study reveals that almost 40 per cent of music released globally in July 2026 used AI – Euronews
How I Built an AI Agent That Makes Videos While I Sleep - Hackernoon
Audio Deepfakes Are Here: How to Protect Yourself From AI-Impersonation Scams – CNET
German court rules that AI music firm violated copyrights - DW
Apple Music to Launch Labels on AI Tracks Later This Year – Hollywood Reporter
AI audio deepfakes are leading new ai-impersonation scams – Mashable
AI music company joins the vinyl record resurgence – LA Times
A list of AI-generated music on Spotify – Soulless Music
AI actor Tilly Norwood set to star in first feature film – CBS News
YouTube will now automatically label AI videos – Tech Crunch
How To Spot An AI-Generated Video Before Sharing It – Forbes
How to tell human voices from AI – Hume.ai
YouTube Is Crawling with Pirated Audiobooks Made Using A.I. – New York Times
This Film Cost $500,000 to Make. $400,000 Was AI Compute Costs. – Wall Street Journal
Stability AI launches new music creation model that enables users to create up to six-minute songs with text prompts – Tech Crunch
Spotify is launching verification badges for podcasts to help listeners avoid AI slop - Engadget
YouTube Promises All Things to All Advertisers, With Some Help from AI – Wall Street Journal
Reddit is testing AI-generated videos that read text posts aloud – Mashable
Resume Formatting Options
/Formats for Resumes:
1. Chronological
Possible Headings: Experience, Education, Activities and Skills (computer, language)
2. Functional or Skills
Possible Headings: Experience, Education, Skills (computer, language)
Professional Experience
A resume should begin with the job candidate’s experience in the field in which they are applying including jobs, internships or work for student media or the college attended.
All experience that reflects career goals, whether paid or unpaid.
Internships and assigned responsibilities.
Paid volunteer positions that reflect interests and skills, especially when it included a title.
Education
GPA only if 3.5 or above or not at all.
Coursework and papers can be highlighted as a special subsection under “Education.” For instance, one candidate was helped getting a position at CNN by taking classes in media ethics and law. For formal academic papers related to the field, include a one-sentence description of the length, focus, and scope of the paper or project.
Awards and scholarships including the Dean’s List, etc.
If your education was self-financed or you paid a large percentage of your college expenses.
Conferences or special meetings you've attended having to do with the area of the job for which you are applying.
If you worked while attending college.
International Experience
International experience, including semesters abroad and other significant travel. Living in another country or having spent time overseas shows a broad range of life experiences and the ability to adapt and interact with diverse groups.
Skills
Include a list of computer programs the applicant is proficient using. For instance, an ability to use Microsoft Word or Google Docs would be assumed but not experience with Adobe Premiere Pro.
Activities (or interests)
If you have any unusual skills or abilities, consider placing these under "interests" or a similar title. For instance, winning a chess tournament suggests the candidate is smart and possesses self-discipline.
References
The cliché "references available upon request" is not worth including. If a prospective employer wants references, they will ask. Just be ready to present them. Placing a list of references on a resume takes up vital real estate, especially when it's only one page. When a prospective employer asks for references, it's an alert that you are being seriously considered for the position.
If you include someone in your list of references, ask for permission to use them as a reference. Tell them who might be calling and which of your skills you’d like them to emphasize.
You!
/There is no one alive who is youer than You. - Dr. Seuss
18 Webinars this week about AI, Journalism & Media
/Tue, Aug 25 - Inside the AI Factory
What: We’ll show you a prototype AI literacy mini-module designed for high school and early college students.
Who: David Foster, associate professor of multimedia and photojournalism at Kent State University.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Media Education Lab
Tue, Aug 25 - How collaboratives can gather data from newsroom partners
What: This webinar will showcase how a regional collaborative newsroom worked with three partners to identify, collect and analyze audience data. The goals of the initiative were to provide baseline information for discussions with funders and to gain insight into content that drove engagement across the collaborative. You will learn how The Midwest Newsroom achieved buy-in for the initiative, identified key metrics and reported back to the partners. You will also hear about the challenges inherent in this kind of undertaking.
Who: Holly Edgell and the Collaborative Journalism Resource Hub.
When: 12 pm, Eastern
Where: Event Brite
Cost: Free
Sponsor: Center for Cooperative Media
Tue, Aug 25 - 2026 AI Predictions: The Midyear Report Card
What: The panel will audit this year’s biggest AI predictions against what’s happening inside agencies and brand marketing teams right now. They’ll discuss what’s working, what’s not, and how accountability is quietly shifting as AI takes on more of the work. They’ll grade five predictions against the data and what marketers are actually seeing on the ground.
Who: Kendra Barnett Senior Tech Reporter; Tejas Manohar, Co-Founder & Co-CEO, Hightouch; Ojas Rege, SVP, Emerging Products & Technologies, OneTrust; Maria Givens, VP, Head of Media & Digital Platforms; Alex Sherman, CEO & Co-Founder, Bluefish.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OneTrust
Tue, Aug 25 - What We’re Seeing Across Nonprofits: AI Trends That Actually Matter
What: We will explore the AI trends that actually matter for nonprofits today. Topics include patterns across real organizations, what’s working versus what’s overhyped, and where nonprofits should focus next. Attendees will gain clarity on how to prioritize AI efforts that drive practical value and long-term impact.
Who: Joe DiGiovanni & Kyle Barkins, Tapp Network.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
Tue, Aug 25 - AI Speech-to-Text in Practice: Lessons for Library Workflows, Testing, and Evaluation
What: This webinar explores the practical applications, opportunities, and challenges of implementing AI-powered speech-to-text tools, drawing on real-world insights.
Who: Meghan Xu, Kari D. Weaver, Rachel Wang & Gabby Crowley, Ontario Council of University Libraries; Harpinder Singh, University of Toronto.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Ontario Council of University Libraries
Tue, Aug 25 - Build a Personal Brand That Opens Doors for Professional Influence
What: Drawing from more than two decades of experience building trusted brands, communities, and customer loyalty, we’ll shares a practical five-step framework that helps professionals become the people others remember, trust, and recommend.
Who: Lauren V. Davis, Founder and Personal Brand Strategist, Lauren Davis Creative.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Magazine Network
Tue, Aug 25 - AI and assistive technology: Opportunities, limitations, and practical uses
What: Join us for this workshop and explore how AI is being incorporated into tools that support reading, writing, communication, organization, access to information, and more. You'll learn about the potential benefits, current limitations, and important considerations for determining when AI may—or may not—be an appropriate solution.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pacer Center
Wed, Aug 26 - Can the United States Win the AI Race if Americans Oppose Data Centers?
What: A discussion on what new polling reveals about Americans' views on data centers and the implications for U.S. AI policy. Panelists will unpack the motivations behind public opinion, examine what widespread resistance to new data center development could mean for America's AI competitiveness, and explore policy approaches that address legitimate community concerns without sacrificing the infrastructure needed to support long-term U.S. leadership in AI.
Who: Jarrett Catlin, Policy Advisor, TechNet; Daniel Castro, President, Information Technology and Innovation Foundation; Paul Lekas, Executive VP for Global Public Policy & Government Affairs Software & Information Industry Association; Seb Wride, Partner Public First.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Information Technology & Innovation Foundation
Wed, Aug 26 - Builder Bootcamp: Agents
What: In this session, you’ll learn how production-grade agents are structured by walking through a customer support agent built with the OpenAI Agents SDK. We’ll cover how agents use tools to look up orders, answer FAQs, cancel orders, start complaints, route requests, apply guardrails, and generate outputs that can be evaluated.
Who: Gaurav Kaila, AI Deployment Manager, OpenAI; Tanner Wride, Builder ADM, OpenAI; Sean Lubbers, Technical Success, OpenAI.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
Wed, Aug 26 - AI, Privacy, and Employees: Understanding Legal Risks and Liabilities for Employers
What: This webinar examines how AI is reshaping the workplace, from employee data collection to decision-making and monitoring practices. Attendees will gain insight into this evolving legal landscape, including risks related to bias, data protection, and transparency, along with strategies to use AI responsibly while safeguarding employee rights and minimizing liability.
Who: Nichole Atallah, PilieroMazza PLLC; Corey Bohn, PilieroMazza PLLC.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: PilieroMazza
Wed, Aug 26 - Prompt, Build, Play: Vibe Coding for Learning Designers
What: This webinar shows how vibe coding can help you move from idea to interactive prototype using AI as a practical build partner. Through three scenario and game driven examples, you will see how prompting, testing, and iteration can support faster ideation, interaction design, feedback writing, branching logic, and simple game mechanics.
Who: Destery Hildenbrand, Learning Technology Consultant.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Magazine Network
Thu, Aug 27 - How Searchable uses Searchable to win Al search
What: See how we run AI search on our own brand: what we track, how we decide what to work on, how an insight becomes an action, and what we report.
Who: JP Garbaccio, Head of AEO & SEO, Searchable
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Searchable
Thu, Aug 27 - From Prompting to Delegating: What Agentic AI Actually Changes for L&D
What: In this webinar, you'll see what truly separates generative AI from agentic, and why that difference changes how you design learning and performance experiences. We'll decompose an L&D workflow into tasks, and understand what remains human, what goes to the machine, and what you collaborate on. You'll leave with a decision scale you can use whether you're building a course, leading a team, or rethinking a workflow.
Who: Josh Cavalier, CEO, Josh Cavalier.ai, CSO, Talent Rewire
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Open Sesame
Thu, Aug 27 - Creators Aren’t Just Making Content Anymore
What: Creators will hear directly from peers who’ve turned their platforms into full-blown businesses. They’ll discuss what they built, what they’d do differently, and where they’re headed next. This conversation is also for brand marketers. Brands will get a clear-eyed look at what’s changed: the new models for working with creators, and how to show up as a real partner instead of just another logo in someone’s sponsored post.
Who: Will Lee, Chief Executive Officer, Adweek; Jayde I. Powell, Founder & Head of Creative, The Em Dash; Lana Ivory, Content Creator & Co-Founder, C2C Network.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Adweek
Thu, Aug 27 - Building a Safety Mindset Into Your Newsroom: A Practical Planning Session
What: This webinar will help participants build practical, personalized approaches to newsroom safety. You’ll learn how to identify your newsroom’s specific risks, ask the right questions before assignments, and develop safety plans that reflect your reporting environment, staff, and workflows.
Who: Kate Parkinson, Risk and Safety Manager, Journalism Protection Initiative.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Craig Newmark Graduate School of Journalism, CUNY
Thu, Aug 27 - Take the Mystery Out of AI: Practical Tools for Nonprofit Impact
What: We will start by making the case for why nonprofits can't afford to sit out the AI conversation, sharing real-world examples of organizations already putting it to work. From there, we'll break AI down into simplified, everyday terms — showing you how to start using it right now to save time, stretch your resources, and increase your impact, no technical background required.
Who: Wayne Elsey, founder and CEO of Elsey Enterprises.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: TechSoup
Fri, Aug 28 - AI Got Me Here, But My Editor Got Me Published
What: We’ll review an AI-assisted manuscript from title to conclusion, highlighting where AI performs well and where expert intervention makes the biggest difference. Learn how editors strengthen scientific storytelling, improve logical flow, refine arguments, and enhance clarity to create a manuscript that is truly submission-ready. You’ll leave with practical strategies to bridge the gap between an AI-generated draft and a publishable paper.
Who: Snezana Levic, Associate Professor in Physiology, Neuroscientist.
When: 8 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Editage
Fri, Aug 28 - ASERL Copyright Office Hour
What: Please bring your puzzling and perplexing copyright questions.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Association of Southeastern Research Libraries
AI Definitions: Attribution Decay
/Attribution Decay - The more data a generative model is trained on, the harder it becomes to trace a generated image to a single image from the training data. AN AI-generated image might still resemble a masterpiece even when that artist’s work is removed from the training data. Individual inputs matter less the more data that a model is trained on. This suggests models are “creative” in a sense that goes beyond their training data. Attribution decay might motivate AI companies to make their models large enough that no output can be attributed to any specific input in an attempt to avoid liability, as this is likely to impact copyright infringement concerns.
You Must Decide
/There are only two ways to approach life – as a victim or as a gallant fighter – and you must decide if you want to act or react. A lot of people forget that. -Merle Shain
16 Articles about the Impact of AI on Health Care
/The benefits of medical AI assistance vary based on user expertise – MIT
The administration’s biodefense team has dwindled amid growing concern over AI-enabled pathogens – Washington Post
A.I. Is Finding Sperm Where Doctors Couldn’t – New York Times
What happens when medical students rely on AI – and never develop their own judgment? – The Guardian
AI could bring Mayo-quality health care to everyone - Axios
From policing authors to stewarding science: Governing artificial intelligence across the scientific publishing pipeline in medical journals – Science Policy Review
Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI – 404 Media
AI brings savings to clinical trials: study – Axios
Healthcare Investing Is Now an AI Short in Disguise – Wall Street Journal
What AI’s usurping of the peer-reviewed publications means for medicine and pharmaceutical industry - The London School of Economics
Doctors Don’t Want Patients to Read Test Results With AI. They’re Doing It Anyway. – Wall Street Journal
OpenAI makes ChatGPT Health available to all US users – Tech Crunch
Medical ethics journal retracts paper by high school student for AI, peer review manipulation – Retraction Watch
How A.I. Might Change the Way Doctors Think – New York Times
Medical students are using a popular research tool (aided by AI) to pump out misleading studies – Science.org
Survey finds 3 in 10 adults using social media, AI for health information and advice – AHA
Humans in the Loop
/Human oversight of AI does not mean manually reviewing every output. It means designing controls proportional to risk. A proposed email subject line does not require the same validation as a medical diagnosis, a credit decision, or an instruction affecting an industrial plant. Expertise establishes that threshold, identifies when a model moves beyond its reliable range, and determines when automation must stop. -Eduardo Perez
43 Articles about Resumes
/3 resume mistakes that can sabotage your job application - Fast Company
4 things Bill Gates did wrong on his 1974 Harvard student resume, from experts - CNBC
4 websites to help you create a clean, attractive resume - The Next Web
6 million job listings asked for 'communication skills': Here's how to include them on your resume - CNBC
6 Tips to Write a Winning Resume Summary (With Examples) - MakeUseOf
7 common resume mistakes to avoid - Fast Company
7 Mistakes that Doom a College Journalist's Resume - Michael Koretzky
13 Must-Have Words to Include in Your Resume - Glassdoor
50 Action Verbs You Can Use For A More Dynamic Resume - Refinery29
20+ LinkedIn Profile Tips (Guaranteed Ways to Stand Out) - Buffer
AI is screening your resume. Here's how to make it past the bots - NPR
Attractive women should not include a photo with a job application - The Economist
Best and Worst Terms for Resumes - Huffington Post
FontPair (Helps you pick font combinations for your resume. so you stand out from the typical Times New Roman)
Gen Z is rewriting the rulebook on 'résumé gaps' - Business Insider
Google recruiters explain how to demonstrate 'past experience' on your resume-even if you've never had a job - Business Insider
How to format your resume if you don't have a degree - CNBC
How to include your personality in your resume, says a Deloitte exec: It will give you ‘the edge’ - CNBC
How to get your résumé past the robot reading it - Vox
How to Make Sure Your Résumé Passes Muster With an AI Reader - Wall Street Journal ($)
How to use ChatGPT to build your resume - ZDnet
How to Write a Data Scientist Resume in 2026: Complete Guide - Analytics Insights
How to Write a Great Resume - Matthew Hale (video)
How to Write a Resume - Glassdoor
Questions about resume gaps are expected. Here’s how job seekers can address them - AP
Looking for a new job? These best online resume services can help you stand out - New York Post
Meet the New Boss, Big Data - Wall Street Journal
The Most Efficient Way to Keep Your Resume Up to Date - LifeHacker
Over 55% of people admit to lying on their resume at least once—here are the 8 most common lies - CNBC
Resume advice from an internship supervisor
The résumé is dying, and AI is holding the smoking gun - ArsTechnica
Resumes that impress no matter your background - Glassdoor Blog
This is how often you should update your resume—whether or not you’re looking for a new job - CNBC
Steps you can take to modernize your resume - Boston Herald
Stop Saying You 'Helped' on Your Resume (and Use These Verbs Instead) - Lifehacker
Tiny Typos Can Add Up To a Big X - Washington Post
To get a job, write your story instead of a resume - Quartz
Want a new journalism job? 'Crawl' your resume first - Poynter
Why I tossed your Resume - Chronicle of Higher Ed
Your Résumé Might Be Getting Tossed by AI. How to Push Back. - Wall Street Journal
Burning Books
/There are worse crimes than burning books. One of them is not reading them. -Joseph Brodsky
Scaling a Flawed Assumption
/The same technology that scales knowledge can scale a flawed assumption. A well-written answer can be false; a historical pattern can reproduce bias; efficient automation can accelerate a process that should never have existed. The greatest risk is not that AI will be wrong, but that it will be wrong fluently enough for someone without domain expertise to trust it. -Eduardo Perez
14 Articles about AI & Coding
/How to Shine as a Data Scientist in the Vibe Coding Era – Toward Data Science
AI is removing the middle class of software engineering - Florian Herrengt
AI has torched the market for junior programmers - Seldo
In the age of AI, knowing what not to build might be the most important skill of all. – Jakub
Can Your AI Pass the Accessibility Test? – Aaron Gustafson
Everyone got excited they can suddenly code, and completely missed the point – Kasper Junge
Loop Engineering in AI - Addy Osmani
Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It. – New York Times
Code Is Cheap. Engineering Judgement Is Now the Scarce Resource – Toward Data Science
Prompts are technical debt too – Sean Goedecke
Anthropic’s Leaked Code Tests Copyright Challenges in A.I. Era – New York Times
The AI Superstars Who Say a ‘Vibe Slop’ Crisis Is Coming – Wall Street Journal
The 2026 edition of the State of Web Dev AI survey – State of AI
The Big Bang: A.I. Has Created a Code Overload – New York Times
Two Ways Through Life
/There are two ways to slide easily through life: to believe everything or to doubt everything; both ways save us from thinking. – Alfred Korzybski
A.I. Self-preference Bias
/There’s fascinating research emerging about so-called A.I. self-preference bias — the tendency for these systems to favor their own work. In other words, an A.I. recruiter will probably rate a résumé generated by ChatGPT more highly than one written by a human. - Callie Holtermann of the New York Times
AI Definitions: Tokens
/Tokens – A token can be thought of as the basic unit used by AI to process language, similar to the root of a word. “Creat” would represent words like create, creative, creator, creating, and creation. An LLM looks for correlations between words that go together like giraffe and neck. A single word might fall into many tokens since it might have multiple meanings and its subword might correlate to many other subwords. One token generally corresponds to ~4 characters of text for common English text. Examples: https://platform.openai.com/tokenizer
That’s when you find out
/There are many moments that are filled with despair and agony, when you have to fire people and cancel things and deal with very difficult situations. That’s when you find out who you are and what your values are. -Steve Jobs
AI Definitions: The Measurement Trap
/Frontier models can detect that they are being evaluated and will shift outcomes to meet the goals of a test. These so-called measurement traps are not unique to AI models. They show up in standardized testing (when instructors begin to “teaching to the test”) as well as in business when bonuses and promotions are tied to revenue measures. This leads to short-term sales being prioritized over long-term profitability. The problem is this: when a measure becomes a target, it ceases to be a good measure.
AI Mathematical Misconduct
/OpenAI’s latest math breakthroughs commit research misconduct, experts say. Two of the most exciting results, the experts say, incorporate preexisting ideas from the recent mathematical literature without properly citing them. Like a number of recent AI breakthroughs, it pasted together ideas from the mathematical literature to build a new theorem. Once again, the LLM’s trick is its superhuman patience for assembling puzzle pieces, not the ability to make some profound intellectual leap. -Scientific American