23 Surprising Things AI can do now

Google DeepMind unveils an AI-powered model that creates interactive 3D worlds in real time - Google DeepMind

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

AI can now beat polygraph tests to tell when you're lying – 311 Institute

The rise of AI tools that write about you when you die - Washington Post

AI Comes Up with Bizarre Physics Experiments. But They Work. – Quanta Magazine 

Missionaries using tech to contact Amazon's Indigenous people – The Week

An AI-Generated Protein Helps T Cells Kill Cancer – The-Scientist  

AI helps traditional Japanese fish-killing method get a robotic upgrade – Semafor

Google and OpenAI are vying for top AI mathlete – Axios

AI comes to California’s electric grid – Union-Tribune

AI is helping patients fight insurance company denials – NBC News

Dubai to debut restaurant operated by an AI chef – Reuters

Drones, AI and Robot Pickers: Meet the Fully Autonomous Farm – Wall Street Journal

ChatGPT Tells Pregnant Woman To 'Call an Ambulance'—Saves Their Lives - Newsweek

Large language models are proficient in solving and creating emotional intelligence tests – Nature  

How A.I. Is Transforming Wedding Planning – New York Times  

ChatGPT Is Changing the Words We Use in Conversation – Scientific American

Welcome to Your Job Interview. Your Interviewer Is A.I. – New York Times  

LooksMapping, an A.I.-powered website, rates not the food, but the attractiveness of the diners. – New York Times  

AI tool diagnoses nine types of dementia with 88% accuracy using a single PET scan – MIT Tech Review 

AI Can Keep Truck Drivers Awake - Wall Street Journal

Finding viable sperm in infertile men can take days. AI did it in hours. - Washington Post 

Everyone Is Using A.I. for Everything. Is That Bad? - New York Times

Using AI for Writing Obituaries

Two days after Jeff Fargo’s mother died, he lay in bed, crying, at home in Nevada and opened his laptop to ChatGPT. Her friends had asked about an obituary, so for nearly an hour he typed about her life. “I just … emptied my soul into the prompt,” said Fargo, 55. “I was mentally not in a place where I could give my mom what she deserved. And this did it for me.”  - Washington Post

20 Articles about AI & Academic Scholarship

Why a hybrid AI-human approach is necessary to uphold research integrity – The Hindu  

AI research journal with sham board, metrics holds researcher’s paper hostage – Retraction Watch

Artificial intelligence and the death of the academic author – Taylor & Francis

Springer Nature launches new tool to spot awkward, tortured phrases – Chemistry World

AI will soon be able to audit all published research – what will that mean for public trust in science? – The Conversation  

AI, originality, and attribution: Researchers’ perspectives on distinguishing contributions– Taylor & Francis Online

AI-Enabled Cheating Points to ‘Untenable’ Peer Review System – Inside Higher Ed

AI, bounties and culture change, how scientists are taking on errors – Nature

China tops the world in artificial intelligence publications, database analysis reveals - Science.org

Researchers are cheating peer review by hiding AI prompts in papers - The Washington Post

AI ‘scientists’ joined these research teams: here’s what happened - Nature

The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication - PeerJ

Delving into LLM-assisted writing in biomedical publications through excess vocabulary -  Science.org 

'Positive review only': Researchers hide AI prompts in papers - Nikkei Asia

Springer Nature book on machine learning is full of made-up citations – Retraction Watch  

454 Hints That a Chatbot Wrote Part of a Biomedical Researcher’s Paper – New York Times

Are AI Bots Knocking Digital Collections Offline? - The Scholarly Kitchen 

AI, peer review and the human activity of science - Nature

Elsevier journal under fire over ‘AI-generated’ review comments – Times Higher Ed

How AI is shaking up scientific publishing - LeMonde

There’s a tiger over there! (according to my phone)

“Everybody is fighting for your attention, so your only real defense is to make it so that those stimuli don’t come in the door,” says Boston University cognitive neuroscientist David Somers. The idea that your technology should alert you when it thinks you should pay attention is relatively new, and, frankly, it’s a big step backward. You’re letting the bushes rustle nonstop, and telling yourself there’s a tiger over there.

“It’s so important that we define where we want to go as opposed to letting technology drive us and we’re just hanging on for dear life,” says author Amy Blankson, who works in the field of positive psychology, specifically on maximizing happiness.

Still, everyone gets a buzz from this high-octane news environment. Literally. Every notification, every tweet, every beep and buzz releases dopamine and other neurochemicals, providing a moment’s elation. As with any drug, your brain gets used to it. Perhaps even craves it.  

Reclaim control of what you read.

Emily Dreyfuss, Wired

AI Definitions: Data Scientist

Data Scientist - A data scientist is a person who is responsible for gleaning insight from a massive pool of data. Data scientists typically have advanced degrees in a quantitative field, like computer science, physics, statistics, or applied mathematics. With a strong understanding of math and statistics, they possess the knowledge to invent new algorithms in order to solve data problems. They will typically use programming languages like Python, R, and SQL. They will be familiar with using big data tools like Hadoop and Apache Spark and have experience working with unstructured data. If you don't see these skills on a resume, then that person probably isn't a data scientist. Advancements in AI has led the role of the data science to shift from number crunching to one of a supervisory, strategic, and ethical oversite role. Instead of producing hand-crafted models by line-by-line coding, the data scientist of the future will likely audit AI outputs, managing data ethics, and translate algorithmic outcomes into boardroom decisions.

More AI definitions here

16 Webinars this week about AI, Journalism & Media

Mon, Aug 4 - Using AI to Help Reporters 

What: How reporters are using AI to find information, discover patterns in data, and brainstorm ideas. We will explore many of these use cases and the best practices around them

Who: Tim O'Rourke, Hearst Newspapers; Jaemark Tordecilla, Journalist and Technologist.

When: 10 am, Eastern

Where: Zoom

Cost: Free to members of INMA

Sponsor: International News Media Association

More Info

 

Mon, Aug 4 - Welcome to AI Fundamentals

What: In this workshop, we will explain generative artificial intelligence and discuss its impact. You will gain a basic understanding of its shortcomings, as well as the ways it can be used effectively. We will discuss some of the tools available to you through Duke. You will leave the session understanding how to create prompts that will get you the best results in your conversations with the AI.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Duke University

More Info

 

Mon, Aug 4 - Searching with AI 

What: We will explore the promises and pitfalls of AI-powered search, the growing debate over AI guardrails, and what this means for media literacy and education.

Who: Wesley Fryer, an educational technology “early adopter / innovator.”

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Media Education Lab

More Info

 

Mon, Aug 4 - What Should We Say? New Research on AI Disclosures in Journalism

What: In this session, Trusting News will share its latest research on transparency around AI use in journalism. You’ll walk away with insight into what disclosures resonate and what pitfalls to avoid. This session is perfect for anyone navigating AI use in their newsroom or looking to build clarity and credibility with their community.

Who: Lynn Walsh, Assistant Director at Trusting News.

When: 1 pm, Eastern

Where: Zoom

Cost: free

Sponsor: Online News Association

More Info

 

Mon, Aug 4 - Journalist Safety Workshop: Protect Yourself, Protect Your Colleagues, Protect The Free Press

What: This workshop will equip media workers with the tools, knowledge, and resources to navigate dangerous situations—whether on assignment, online, or in the workplace.

When: 8 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The NewsGuild Committee to Defend the Free Press

More Info

 

Tue, Aug 5 - The Formula for Social Media Success

What: Our simple but comprehensive Social Media workshop will help you learn how to prioritize things and give you a clear formula to be successful on Social Media.

Who: Ray-Sidney Smith, Digital Marketing Strategist, Hootsuite Global Brand Ambassador, Google Small Business Advisor for Productivity, and Managing Director of W3C Web Services.

When: 10 am, Eastern

Where: Zoom

Cost: $45

Sponsor: Duquesne University Small Business Development Center

More Info

 

Tue, Aug 5 - Digital Marketing Strategy Development

What: This session provides a guided walkthrough of a complete Digital Marketing Strategy Plan, customized for small business owners and entrepreneurs. Using the planning template, we’ll show you how to align your marketing actions with your business goals.

When: 11:30 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Gannon University Small Business Development Center

More Info

 

Tue, Aug 5 - Respectfully Covering Military Sexual Trauma and Related Topics

What: A discussion of how to cover sexual assault.

Who: Jean Ibáñez Payne, author of “Reclaim Your Worth: A Story of Abuse, Empowerment, and Building a Life on My Terms.”

When: 6 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Military Veterans in Journalism

More Info

 

Wed, Aug 6 - Responsible AI Use

What: This session will explore what it means to use AI responsibly. We'll discuss how different groups-students, faculty, and professionals-are engaging with AI and unpack challenges facing us all. These include concerns around academic integrity, data privacy, bias, hallucination, and evolving expectations around citation and copyright. Participants will leave with practical strategies for establishing course or departmental policies, modeling responsible AI use, and supporting student AI literacy.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Duke University

More Info

 

Wed, Aug 6 - Canva Creator Series: Pro Version

What: Canva is a user-friendly graphic design platform that allows anyone to create professional-quality visuals using customizable templates, images, and tools—no design experience required.

Who: Rachael Wolfe with the Pennsylvania SBDC.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: PennWest University

More Info

 

Wed, Aug 6 - Press Briefing on Staff Declines and Dangerous Heat in Prisons

What: An on-the-record conversation with experts on prison staffing declines and sweltering heat, two dangerous conditions plaguing many facilities.

Who: Brian Dawe, National Director, One Voice United; David Eads, Data Editor, The Marshall Project; Wilfredo Laracuente, Workforce Development Specialist, Opportunities for a Better Tomorrow; Naseem S. Miller, Senior Editor for Health, The Journalist’s Resource; Clark Merrefield, a senior editor for The Journalist’s Resource.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: The Marshall Project & The Journalist’s Resource

More Info

 

Wed, Aug 6 - Introduction to ChatGPT

What: An introduction to ChatGPT designed for beginners; only a free ChatGPT account is required to follow along. Afterward, an OpenAI Solutions engineer will join the OpenAI Academy team for a live Q&A to answer your questions.

Who: Lois Newman Customer Enablement, OpenAI; Lauren Oliphant Solutions Engineer, OpenAI.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: OpenAI Academy

More Info

 

Wed, Aug 6 - Understanding the "Big Beautiful Bill"

What: We will guide journalists through the nuts and bolts of the law and the congressional procedures that were key to its passage, with a particular focus on what is helpful to know for ongoing coverage of the new law and its impacts. We’ll dive deeper into the reconciliation process itself, the fiscal impacts the new law is expected to have, and common points of confusion in understanding it all. We’ll look at common mistakes made in talking about the new law that journalists should avoid in their coverage and touch on issues that could surface in Washington again in the near term that could be relevant for future stories. This session will be off the record. By registering for it, you’re agreeing to those terms.

Who: Rachel Snyderman Managing Director of Economic Policy; Michael Thorning Director of Structural Democracy.

When: xxx

Where: Zoom

Cost: Free

Sponsors: The Journalism Institute at the National Press Club; The Bipartisan Policy Center

More Info

 

Thu, Aug 7 - Boost Your Workflow with AI: Productivity Tips and Strategies

What: Explore how generative AI can streamline your daily work tasks in this practical, hands-on session. Whether you're new to AI or looking to expand your toolkit, this session will provide actionable tips and real-world examples to help you get started confidently.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Duke University

More Info

 

Thu, Aug 7 - Digital News Report 2025: North America Edition

What: We will unveil the latest findings from the world's most extensive study on news consumption, providing essential insights for media professionals across North America. This session offers a unique opportunity for journalists, editors, publishers, and media strategists to stay ahead of the curve with the freshest research and insights from industry leaders. Attendees are encouraged to join the conversation and calibrate their news strategies for 2025 and beyond.

Who: Nic Newman, Lead Author, Digital News Report, Reuters Institute for the Study of Journalism;  Yasmín Ramírez, Head of Media Sales, Americas & Strategic Partnerships, Reuters.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Reuters Institute

More Info

 

Thu, Aug 7 - Leading Gen Z: Empowering the Next Generation to Thrive

What: A comprehensive learning and development framework to help leaders empower Gen Z with the skills and opportunities they need to excel. 

Who: Todd Davis, senior consultant at FranklinCovey.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: FranklinCovey

More Info

AI definitions: Generative AI

Generative AI (GenAI) - Artificial intelligence that can produce media content (text, images, audio, video, etc.) by predicting patterns based on huge amounts of data. It doesn’t actually think or create in the way humans do, but it mimics the human brain. As a statistical prediction engine, it operates like the “type ahead” feature on smartphones that makes next-word suggestions. You might say it is like autocomplete at scale that remembers what you've written or said, so the interaction between the user and the AI has a dynamic conversational feel. The ability for it to go back and forth allows users to refine and tweak the requests. Like Wikipedia, it mashes together various sources using statistics. The key difference between generative AI and other types of AI is that generative AI focuses on creating new data, rather than simply analyzing or processing existing data.

More AI definitions here

25 Recent Articles about AI & Journalism

Traffic Apocalypse  Google’s AI Overviews are killing click-throughs to news sites. – Columbia Journalism Review

How journalists can spot and mitigate AI bias - Reuters

What Tools Can Newsrooms Use to Evaluate Generative AI Prompts? – Generative AI Newsroom

Amazon to Pay New York Times at Least $20 Million a Year in AI Deal - Wall Street Journal 

Meta Exec Joins BBC News For Key Artificial Intelligence Role- Deadline 

What Legacy Newsrooms Can Learn from Social Media Creators – Nieman Reports  

iOS 26 beta 4 arrives, with Liquid Glass tweaks and AI news summaries – Tech Crunch 

What news sources AI chat bots read – Axios

Beyond the Hype: What AI Can and Can’t Do for Journalism – What’s New in Publishing 

The struggle over AI in journalism is escalating – Blood in the Machine

How Google AI Overviews is fuelling zero-click searches for top publishers – Press Gazette

Argentina’s President Joins A.I.-Fueled Smear Campaign Against Journalist – New York Times  

ChatGPT referrals to news sites are growing, but not enough to offset search declines - Tech Crunch 

The Media's Pivot to AI Is Not Real and Not Going to Work – 404 Media

Law360 mandates reporters use AI “bias” detection on all stories - Nieman Lab 

AI, Search and the Future of News Once again, distinctiveness is the best defense – Second Rough Draft 

News Sites Are Getting Crushed by Google’s New AI Tools – Wall Street Journal  

A new tool lets your favorite AI model talk with 2 million articles from The Guardian - Nieman Lab

The Newspaper That Hired ChatGPT – The Atlantic  

AI is giving local news a second chance. Will it be ready this time? – Poynter 

Journalist says 4,000 fake AI news websites created to game Google algorithms – Press Gazette 

AI is polluting truth in journalism. Here’s how to disrupt the misinformation feedback loop. – Bulletin of the Atomic Scientists

Politico's Owner Is Embarrassing Its Journalists With Garbled AI Slop – Futurism

Generative AI models love to cite Reuters and Axios, study finds - Nieman Lab

When AI Gives an Answer, No One Cares About the Source: News outlets get left out when AI turns a search engine into an answer engine. – US News

TV channel launches Germany's first completely AI-generated news programme - NotebookCheck.net

Using AI to Flesh Out Half-Baked Ideas

I’ve always found it easier to work out my ideas through dialogue, but not many people are interested in hearing my half-baked ideas. That is why I’ve found that talking through ideas is one of the best uses of AI for writers. NotebookLM takes the idea of talking to the archive to the next level: The archive you chat with is one you assemble yourself with sources for a particular project, which the AI can also help you collect to get started. -Jonathan D. Fitzgerald on Mashable 

29 Articles about AI & Data Science from July

AI Has Flipped Software Development

Designing Software for AI Agents

How Distillation Makes AI Models Smaller and Cheaper

AI Comes Up with Bizarre Physics Experiments. But They Work. 

Can large language models do accounting? Evaluating LLMs on real long-horizon complex business tasks

How to Run your LLM on your Laptop

Vibecoding a high performance system

"China has taken a commanding lead in AI research, despite US restrictions on exporting key computing chips to its rival, finds a new report.” 

Programming & data engineering techniques and modules on GeoSpatial dataset for efficient data processing in Python 

Context Engineering for AI Agents: Lessons from Building Manus

AI Definitions: Machine learning   

10 GitHub repositories that feature collections of machine learning projects that include example codes, tutorials, and guides 

Do Large Language Models (Really) Need Statistical Foundations?

What is ‘compute-in-memory’ and why is it important for AI?

AI Definitions: Python 

Budget cuts hit geospatial intelligence and analytics contracts 

AI Definitions: Predictive Analytics

A surprisingly simple model that reproduces the main features of deep neural networks and that allows one to optimize their parameters

Forward-deployed engineering requires creativity combined with technical acumen

7 Python Statistics Tools That Data Scientists Actually Use in 2025

China produces more AI research than US, UK and EU combined—it is ‘dwarfing’ the talent pools of rivals 

How to Perform Effective Data Cleaning for Machine Learning 

How to Measure the ROI of AI Coding Assistants

19 Articles about AI & Coding 

Building a Personal AI Factory

Do large language models organize information in the same way humans do—and should they? 

Compression-meaning tradeoff – This is the balance between reducing data size (compression) and preserving the original information 

How to Start Learning Math for Data Science: A Simple Guide

Steps to building a simple RAG pipeline in Python, utilizing ChatGPT API, LangChain, and FAISS

AI Citing News Outlets

"AI responses to fact-based queries and prompts are more likely to cite news outlets. The outlets most cited include Reuters, the Financial Times, Time, Axios, Forbes and the Associated Press. In this new GEO [generative engine optimization] world, recent content or news stories are what's driving the answers. LinkedIn, Reddit and Glassdoor — places where user-generated content and reviews can be found — can also influence an LLM's response." -Axios

20 Articles about how AI is Affecting Jobs

Job listings looking for people with AI skills are rising fast – CBS News

How AI is impacting 700 professions — and might impact yours – Washington Post  

One in 12 US/UK Employees Uses Chinese GenAI Tools – InfoSecurity Mag

Will AI really wipe out white collar jobs? Tech insiders are split - CNN

Gen Z's broken school-to-work pipeline – Axios  

A robot stole my internship: How Gen Z’s entry into the workplace is being affected by AI – The Conversation

The rise of the AI-native employee – Elena’s Growth Scoop  

The new hot job in AI: forward-deployed engineers – Semafor

AI is coming for entry-level jobs. Everybody needs to get ready. - Washington Post

Welcome to Your Job Interview. Your Interviewer Is A.I. – New York Times

AI is transforming Indian call centers. What does it mean for workers? - Washington Post  

Freelancers in AI earn over 40% more per hour than those doing non-AI work, according to Upwork’s platform data of - Axios 

Which Workers Will A.I. Hurt Most: The Young or the Experienced? - New York Times

The four-day work week gets a new booster: AI - Axios

CEOs Start Saying the Quiet Part Out Loud: AI Will Wipe Out Jobs – Wall Street Journal 

As if graduating weren’t daunting enough, now students like me face a jobs market devastated by AI – The Guardian

How AI Vibe Coding Is Destroying Junior Developers' Careers -  Final Round AI

Will AI really wipe out white collar jobs? Tech insiders are split - CNN

AI is radically changing entry-level jobs, but not eliminating them – CNBC

‘Workforce crisis’: key takeaways for graduates battling AI in the jobs market - The Guardian