Most Addictions
/Most addictions are a result of a lack of connectedness and shame. – Paul Myer
Most addictions are a result of a lack of connectedness and shame. – Paul Myer
We take other men’s knowledge and opinions upon trust; which is an idle and superficial learning. We must make them our own. We are just like a man who, needing fire, went to a neighbor’s house to fetch it, and finding a very good one there, sat down to warm himself without remembering to carry any back home. What good does it do us to have our belly full of meat if it is not digested, if it is not transformed into us, if it does not nourish and support us?
Montaigne (born Feb 28, 1533)
AI Definitions: "Model Collapse"
AI Definitions: Symbolic Artificial Intelligence
The Software Development Lifecycle Is Dead (thanks to AI agents)
5 Python data validation libraries that each solve a specific class of often repeated problems
The top Python libraries for implementing progress bars
A foundation-model GeoAI framework for continuous heat and health risk mapping
Satellite imagery and AI reveal development needs hidden by national data
Top 5 Embedding Models for Your RAG Pipeline
AI Definitions: Imitation Learning
Data Science Certificate Programs for Professionals
AI Definitions: Convolutional neural networks
High-performance scene classification in remote sensing imagery using a custom deep CNN architecture
There's a crisis in particle physics. Researchers hope AI can help.
Leaders stretch people by taking people out of their comfort zone but never out of their gift zone. -John Maxwell
New research, which hasn’t yet been published, suggests that young people who grow dependent on AI may lose faith in their abilities without it. “These kids started believing less in themselves,” a professor of education at Stanford University said. - Washington Post
Symbolic Artificial Intelligence – This is where programmers meticulously define the rules that specify the behavior they want from an intelligent system. It works well when the environment is predictable, and the rules are clear-cut. Researchers believed that if they programmed enough rules and logic into computers, they could create machines capable of human-like reasoning. This was the dominant area of research for most of AI’s history until artificial neural networks became central to most of the recent AI developments. Although symbolic AI has lost its luster, most of the applications we use today depend on rule-based systems. An alternative approach to AI is machine learning. Some researchers believe the future of AI lies in a hybrid combination of these two approaches.
I tell my kids, play around, try things out. People need to know how to use an AI model, but not necessarily build it. Metacognitive skills will be very important—flexibility, adaptability, experimentation, thinking critically, being able to challenge things. Developing critical-thinking skills requires friction, doing things that are hard, doing deep thinking. For that, a traditional liberal-arts education is really important. Passing judgment, being accountable and responsible for decisions that impact people and society, that’s foundationally important. -Daniela Amodei, President and co-founder, Anthropic quoted in the Wall Street Journal
It isn’t as important whether you fulfill as your dreams as it is how you lived getting there.
Can we use AI for academic writing? It depends – Times Higher Ed
Why artificial intelligence detectors could penalize academic writing – Nature
Are AI Tools Killing Review Articles? Two Failure Modes Suggest Otherwise – Aaron Tay
Artificial Intelligence guidance for authors, peer reviewers, and editors: A content analysis of journal policies - Taylor & Francis
These Mathematicians Are Putting A.I. to the Test – New York Times
The Case of the Mysterious Citations – ArXiv
AI is advancing too quickly for research to keep up - Axios
AI 'Copy-Paste' Lands PhD Students in Trouble, UGC Rejects Dozens of Research Papers – Patrika
Open-source AI tool beats giant LLMs in literature reviews — and gets citations right – Nature
AI is not a peer, so it can’t do peer review – Times Higher Ed
Why write a literature review if AI can do it for you? – London School of Economics
On the troubling rise of generative AI suspicion in academic publishing – Nature
Researchers find nearly 300 papers at linguistics conferences contained hallucinated citations. - ArXiv
Self-Disclosed Use of AI in Research Submissions to BMJ Journals – JAMA
AI research deluge: why one conference is asking authors to rank their own papers – Nature
Why Authors Aren’t Disclosing AI Use and What Publishers Should (Not) do About It – Scholarly Kitchen
An AI Bot Is Making Podcasts With Scholars’ Research. Many of Them Aren’t Impressed. – Chronicle
After turning off ChatGPT’s ‘data consent’ option, two years of academic work vanished – Nature
ArXiv preprint server clamps down on AI slop - ArXiv
AI conference “accepted research papers with 100+ AI-hallucinated citations – Fortune
LLMs in Peer Review—How Publishing Policies Must Advance – JAMA
Why scholarly publishing needs a neutral governance body for the AI age – Research Information
From model collapse to citation collapse: risks of over-reliance on AI in the academy – Times Higher Ed
Qualitative researchers’ AI rejection is based on identity, not reason: The claim that AI can’t make meaning contradicts what researchers are finding – Times Higher Ed
AI research should always be verified, especially in court – Post Crescent
Invisible Text Injection and Peer Review by AI Models – JAMA
Artificial Intelligence and the Fraud Industry in Scientific Publishing (video) - Ministry of Science, Innovation and Universities, Spain
Here’s a good reason to turn that frown upside down: Optimistic people live as much as 15% longer than pessimists, according to a study spanning thousands of people and 3 decades. After controlling for health conditions, behaviors like diet and exercise, and other demographic information, the scientists were able to show that the most optimistic women (top 25%) lived an average of 14.9% longer than their more pessimistic peers. For the men the results were a bit less dramatic: The most optimistic of the bunch lived 10.9% longer than their peers, on average, the team reports today in the Proceedings of the National Academy of Sciences.
David Shultz writing in Science Magazine
Boredom might spark creativity because a restless mind hungers for stimulation. Maybe traversing an expanse of tedium creates a sort of cognitive forward motion. “Boredom becomes a seeking state,” says Texas A&M University psychologist Heather Lench. “What you’re doing now is not satisfying. So you’re seeking, you’re engaged.” A bored mind moves into a “daydreaming” state, says Sandi Mann, the psychologist at the University of Central Lancashire who ran the experiment with the cups. Parents will tell you that kids with “nothing to do” will eventually invent some weird, fun game to play—with a cardboard box, a light switch, whatever.
The problem, the psychologists worry, is that these days we don’t wrestle with these slow moments. We eliminate them. “We try to extinguish every moment of boredom in our lives with mobile devices,” says Sandi Mann, psychologist at the University of Central Lancashire. This might relieve us temporarily, but it shuts down the deeper thinking that can come from staring down the doldrums. Noodling on your phone is “like eating junk food,” she says.
So here’s an idea: Instead of always fleeing boredom, lean into it. Sometimes, anyway.
Clive Thompson, Wired
An Overview of AI Governance in Education – EdTech Magazine
Harvard Proposes a Cap on AI’s amid worry over grade inflation – Bloomberg
Higher education needs to change in order to survive the AI economy – Fast Company
Hey, ChatGPT: Where Should I Go to College? – New York Times
The risks of AI in schools outweigh the benefits, report says – NPR
Resisting AI slop in Science & Higher Ed – Science.org
5 Predictions on How AI Will Shape Higher Ed in 2026 – Inside Higher Ed
As Schools Embrace A.I. Tools, Skeptics Raise Concerns - New York Times
Purdue University Approves New AI Requirement For All Undergrads – Forbes
4 policy trends that should be on college leaders’ radars in 2026 – Higher Ed Dive
Voices of Student Success: A Liberal Arts College Goes All In on AI (podcast) – Inside Higher Ed
Higher Education Plans for a Future Markedly Changed by A.I. - New York Times
Higher Education’s AI Problem (podcast) - NPR
How AI Is Changing Higher Education – Chronicle of Higher Ed
Big tech companies are making the Cal State college system a training ground for A.I. tools in education. - New York Times
Can Colleges Be Run Using AI? - Chronicle of Higher Ed
From Yale to MIT to UCLA: The AI policies of the nation's biggest colleges – Mashable
University of Georgia investing $800,000 in program providing students with AI tools – CBS News
How AI Supports Student Mental Health in Higher Education – Ed Tech
Calcutta University plans 10% cap on AI use in PhD thesis – Millennium Post
The Accidental Winners of the War on Higher Ed – The Atlantic
The worst AI strategy in higher ed is no strategy at all – University Business
Eye on AI (interviews from a longtime New York Times correspondent)
Machine Learning Guide (teaching the fundamentals of machine learning and AI)
AI in Business (for non-technical business leaders)
Data Skeptic (applies critical thinking and the scientific method to AI developments)
AI Today (practical insights)
AI for Humans (have a good time learning)
Practical AI (how to get stuff done)
The Artificial Intelligence Show (for marketers)
NVIDIA AI Podcast (interviews with people growing the AI space from a major AI chipmaker)
Fifty-four seconds. That’s how long it took Raphael Wimmer to write up an experiment that he did not actually perform, using a new artificial-intelligence tool called Prism, released by OpenAI last month. Writing a paper has never been easier. Clogging the scientific publishing pipeline has never been easier. - Nature
Open-source AI program can answer science questions better than humans - Science.org
OpenClaw AI chatbots are running amok — these scientists are listening in – Nature
Today’s fraudsters can exploit the online scientific world to quickly create realistic looking papers on an industrial scale - Taylor and Francis
There's a crisis in particle physics. Researchers hope AI can help. – IEEE Spectrum
Inside OpenAI’s big play for science – MIT Tech Review
Researchers use AI to reverse engineer molecules – Semafor
Resisting AI slop in Science & Higher Ed – Science.org
2025's AI-fueled scientific breakthroughs - Axios
Where Is All the A.I.-Driven Scientific Progress? – New York Times
The H-Index of Suspicion: How Culture, Incentives, and AI Challenge Scientific Integrity – NEJM
AI-designed viruses raise fears over creating life – Washington Post
AI hallucinates because it’s trained to fake answers it doesn’t know - Science.org
How ChatGPT-5 redefines scientific reproducibility – Elephant in the Lab
The chemistry community should ban drawing chemical structures with generative AI, chemists warn – Chemistry World
Hack reveals reviewer identities for huge AI conference – Science.org
Researchers call for retraction of two recent Nature studies about AI-generated crystals – Chemical & Engineering News
Science Is Drowning in AI Slop – The Atlantic
AI Companions - Inappropriate dependance on AI, AI control over humans, weakening of human relationships, pornography, suicides, AI delusions, mental health care, human dignity.
AI Divide - Greater inequality, the distance between those who have access to powerful AI & those who don’t.
Bias - AI can reflect societal prejudices and stereotypes, obscuring underrepresented and marginalized populations.
Criminals & Crime - Using AI to commit crimes such as cyberattacks, fraud and child pornography.
Copyright – AI may be trained on copyrighted works and reproduce copyrighted material without permission.
Deep Fakes - Cyberbullying, nonconsensual pornographic images & video.
Economics - Potential AI-created financial crisis.
Environmental Concerns - Energy consumption, high water usage, and electronic waste.
False information - Hallucinations can lead to fearmongering, fake news, poor health advice, corrupted learning tools for children, historical misinformation, and false criminal accusations.
Human Labor – Exploitation of workers, human trafficking.
Knowledge Collapse – AI models run out of fresh data, resulting in a feedback loop — dominant ideas are amplified while less widely held or new viewpoints are minimized.
Out of Control AI - Bullying humans, taking action against humans (particularly actions outside of what the AI was designed to do), and AI uprising where bots attempt to gain control outside of human direction.
Politics - Influencing elections, creating or magnifying international conflict.
Privacy & Security - Facial recognition false arrests, malware, social media, data on children, using AI to hack databases, steal passwords, and personal information has the potential to be shared with third parties.
Religion - Cultlike dependence on AI, allowing outsized control, treating AI like a Magic 8 Ball, worshipping AI.
Science - AI Slop may erode scientific progress.
Slop – Low-grade AI content can clog email, social media and the internet. Also, work slop.
Weapons & War - Drones, satellites, biological weapons.
Endings and losses are the commonest first sign that people are in transition. These endings tend to be signaled by one of several experiences:
A sudden and unexpected event that destroys the old life that made you feel like yourself
The “drying up” of a situation or a relationship
An activity that has always gone well before, suddenly and unexpectedly goes badly
A person or an organization that you have always trusted proves it be untrustworthy
An inexplicable or unforeseen problem crops up
William Bridges, The Way of Transition
What: Join engaging Q&A sessions with industry experts to discover how AI can seamlessly fit into your training strategies and solve your biggest challenges. This is your chance to rethink how you approach training and position your organization at the forefront of AI-driven innovation.
Who: Stephen Weaver, Key Account Manager, isEazy; Margo Gouley, VP, Product, Box of Crayons; Justyna Poray, Senior Learning Experience Designer, Box of Crayons; Scott Mahoney, Chief Strategy Officer, Seertech Solutions; Kelly Sieracki, Product Marketing Manager, BizLibrary; Blake Ryan, Senior Product Manager, BizLibrary.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Training Industry
What: Your work makes a difference, but funders don’t always see it. In this 30-minute session, learn how to turn your impact into investments with a story funders understand and support. We’ll explore common pitfalls, show what’s possible with a clear, confident story, and share reflection questions to help you strengthen your fundraising success.
Who: Emily Taylor, teenyBIG.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Nonprofit Learning Lab
What: The series is aimed at freelance journalists who don’t have a lot of contacts in the industry and want to cold pitch an editor and get their first byline in national newspapers and magazines.
Who: Donna Ferguson is a multiple award-winning freelance journalist for national newspapers and Head of the Freelance Chapter for Women in Journalism; Leah Harper, assistant editor on Guardian Features, previously worked as acting assistant editor on the Guardian’s Fashion desk and Features commissioning editor, having started out as a Researcher for the Observer New Review.
When: 7:30 am, Eastern
Where: Zoom
Cost: £20 or £10 for members
Sponsor: Women in Journalism
What: A panel discussion examining the global movement to ban social media for youth, the tradeoffs these policies present, and alternative approaches that balance safety, rights, and the realities of growing up in a digital world.
Who: Alex Ambrose, Policy Analyst, Moderator; Matthew Lesh, Country Manager, Freshwater Strategy; Angela Luna, Technology & Innovation Policy Analyst American Action Forum (AAF); Sydney Saubestre, Senior Policy Analyst, Open Technology Institute, New America; Nicol Turner Lee, Governance Studies, Director of the Center for Technology Innovation, Brookings Institution.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Information Technology & Innovation Foundation
What: We applied causal inference methods to evaluate the incremental impact of weekly versus monthly offer releases, isolating their true effect on key business KPIs. The results provided statistical validation for the weekly cadence and informed its large-scale rollout at WELT.
Who: Pablo Mateos Masa, Senior Data Scientist, Axel Springer NMT; Dr. Ana Moya, Data Scientist, INFOMOTION.
When: 9 am, Eastern
Where: Zoom
Cost: Free
Sponsor: World Association of News Publishers
What: We will explore the key digital marketing trends in 2026. Learn what’s next in content marketing, search, AI-driven personalization, and automation so you can refine your strategy and stay ahead of the competition.
Who: Digital Marketing Strategist Ray Sidney-Smith, CEO, W-3 Consulting
When: 10 am, Eastern
Where: Zoom
Cost: $45
Sponsor: Small Business Development Center, Duquesne University
What: This webinar is designed to strengthen the way religion journalists and communication professionals work together for the public good. Together, we’ll explore how thoughtful, intentional connections can lead to stronger reporting, clearer communication, and more informed audiences. Panelists will unpack common misconceptions about each other’s roles, share what makes outreach genuinely useful, and offer practical insights on building trust, setting boundaries, and creating value on both sides.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Religion Communicators Council
What: This discussion will equip journalists with the fundamental understanding of the economic and climate impacts stemming from AI’s vast power use, explore how to investigate data centers in their area, and highlight unique story ideas to tackle this growing issue playing out in communities across the world.
Who: Jenn Abamu, Reporter, WAMU/NPR, Marc Conte, Professor, Fordham University, Dan Gearino, Reporter, Inside Climate News, David Dickson, Covering Climate Now.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Covering Climate Now
What: Big-dollar grants are important for sustaining journalism collaboratives, but that doesn’t mean you should overlook success with small-dollar donors. These small donations can add up quickly and provide ongoing support for your collaborative’s work. Learn important tips for going after these donations and how to put a process in place easily and quickly.
Who: Claudia Laws, director of consumer revenue for The Times-Picayune.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Center for Cooperative Media
What: We will offer a practical overview of three powerful, free-of-cost tools designed to streamline investigative research and daily reporting workflows. Move beyond the hype and learn how to integrate NotebookLM, Gemini, and Pinpoint into your reporting toolkit to find stories faster and manage your beat more effectively.
Who: Collenn Kimmett, Google News Initiative.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: New England Newspaper & Press Association
What: This webinar session will get those creative juices flowing with some new writing exercises and prompts. We will also share some tips to help you move your writing project forward.
Who: Cathy Fyock is The Business Book Strategist.
When: 1:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Author Learning Center
What: In this interactive session, we will highlight tools and tactics to help student journalists secure these critical systems in light of today’s increasingly complex threat environment.
Who: Trainers from Freedom of the Press Foundation.
When: 4:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Freedom of the Press Foundation
What: This session explores how to find strong angles, shape timely arguments, and establish authority without overclaiming.
Who: Hannah Fearn, The Independent’s former Comment Editor.
When: 8 am, Eastern
Where: Zoom
Cost: £7.50
Sponsor: Freelancing for Journalists
What: You will learn how to overcome these challenges and equip your organization with robust data pipelines for AI solutions. Attendees will gain expert insights, practical frameworks, and a research-backed understanding of the unique challenges of data integration for AI solutions and emerging practices that successful organizations follow in delivering production applications with impact.
When: 11 am - 3:20 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Transforming Data With Intelligence
What: We'll teach you everything you need to know about the Google Ad Grant and how to get started. Learn how to build and launch your own successful digital marketing campaign and get ideas from case studies with proven results. Use the power of the Google Ad Grant to amplify your message and attract a broad audience.
Who: Simon Choy is the Founder & CEO of ConnectAd.
When: 1:00 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: CharityHowTo
What: A free community session for recently laid off journalists, where we'll help you design your post-layoff strategy. You'll also have the opportunity to connect with others who have similar experiences and share industry resources to help you find your next steps.
Who: Career coach Phoebe Gavin.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Online News Association
What: This two-day webinar series combines our Social Media 101, 102 topics, and includes more resources for you to elevate your social media presence. Attendees will receive a Social Media Boot Camp Workbook and get additional Q&A time with our experts each day.
Who: Kiersten Hill Headshot Kiersten Hill, Director of Nonprofit Solutions.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Firespring
What: How America can build new sources of energy and strengthen its energy security in the wake of the artificial intelligence revolution.
Who: Sen. Ted Budd (R-N.C.); Rep. Jake Auchincloss (D-Mass.); Tammy Ma, Director of the Livemore Institute for Fusion Technology; Josh Magnuson, Ecolab; Josh Levi, Data Center Coaltion.
When: 9 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Washington Post, Ecolab
What: We now have access to 400 free training resources for journalists working at all levels, produced by Media Helping Media. We will demonstrate how to download, adapt and use them.
Who: David Brewer, founder and editor of Media Helping Media.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Fojo Media Institute, Linnaeus University, Sweden
What: Get localized story ideas that explore where data makes a difference and boost your midterm coverage.
Who: Former U.S. chief data scientist Denice Ross; Colleen Heflin, professor of Public Administration at Syracuse University; Paul Overberg, reporter for The Wall Street Journal’s data team; Elvia Malagón, a health reporter at the Chicago Sun-Times.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Poynter Beat Academy
What: We will break down how enterprises can design automation and agent systems that scale without creating chaos.
Who: Eugina Jordan, CEO and Founder of YOUnifiedAI.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Techtarget
What: This session will cover practical approaches to the responsible use of AI as a tool for writing and research.
Who: University of Michigan librarian Yulia Sevrygina; University of Kentucky librarian Helen Bischoff.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Springer Nature
What: FOIA Friday is a community session to connect about all things FOIA and public records. This month, we will be focusing on international public records.
When: 1 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: MuckRock
What: This webinar introduces the principles of crafting prompts that produce reliable and high-quality AI outputs. Participants will explore prompt structures, context-setting techniques, and common pitfalls to avoid. Real examples and guided practice will help attendees refine their prompting skills across a range of tasks. By the end, learners will be able to design prompts that consistently yield useful results.
When: 5 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Claremont Graduate University
What: Please bring your puzzling and perplexing copyright questions. Your ASERL colleagues are here to help!
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Association of Southeastern Research Libraries
What: Join us for a beginner friendly, high-level overview of Codex — the AI system that powers code generation. We’ll explain what Codex is, explore examples of how people are using it for real work and everyday tasks, and show how non-technical professionals can benefit from it today. Whether you’re curious about the future of AI and software, want to better collaborate with technical teams, or simply want to understand the possibilities, this webinar is your starting point. No coding experience needed!
Who: Derrick Choi Codex Deployment Engineer, OpenAI.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: OpenAI Academy
“Life is too short for drama and petty things. So KISS slowly; LAUGH insanely; LOVE truly; And FORGIVE quickly!”
A new study found that AI "health advice from was frequently wrong. However, a closer look at the results tell a different story. "About half the time, mistakes appeared to be the result of user error. Participants didn’t enter enough information or the most relevant symptoms. By contrast, when researchers entered the full medical scenario directly into the chatbots, they correctly diagnosed the problem 94 percent of the time." -New York Times
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