22 Articles about how Businesses are using AI

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The Boss Has a Message: Use AI or You’re Fired – Wall Street Journal

Agentic brains and ‘digital gardeners’: How one CEO runs his AI office – Semafor

The British news publication The Times is using AI to model synthetic focus groups from human audiences – Digiday

AI Is Co-Writing Financial Reports. Here’s Why That Matters. – Wall Street Journal  

AI Is Teaching the Next Generation of M.B.A.s the Classic Case Study – Wall Street Journal  

By one estimate, 80 percent of U.S. stock gains this year came from A.I. companies. – Financial Times  

How Can Leaders Adapt to AI? – Wharton

‘Default to AI or Else,’ Says New Opendoor CEO in a Companywide Email. It’s a Lesson in Emotional Intelligence - Inc 

Visa preps for AI holiday shoppers, agentic commerce - Axios

Deloitte to refund government, admits using AI in $440k report – Financial Review

Morgan Stanley warns the AI boom may be running out of steam - Quartz

There Are Two Economies: A.I. and Everything Else - New York Times

An agreement with the AI startup to make AI movies can serve as a cautionary tale of the pitfalls of embracing a technology too early – The Wrap 

Why executives can’t afford to ignore Generative Engine Optimization (GEO) - MuckRack

Designing for humans: Why most enterprise adoptions of AI fail – Mark Greville  

Making cash off ‘AI slop’: The surreal business of AI video - The Washington Post  

Companies Are Pouring Billions Into A.I. It Has Yet to Pay Off. - New York Times 

GM Raided Silicon Valley to Build Its New AI Team. Here’s What It’s Doing. – Wall Street Journal 

An entrepreneurial revolution is coming across America - The Washington Post  

Taco Bell Rethinks Future of Voice AI at the Drive-Through – Wall Street Journal 

What's on the horizon for AI and public libraries? – Web Junction

AI’s Power Rush Lifts Smaller, Pricier Equipment Makers – Wall Street Journal

Podcasts about Journalism

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The 404 Media Podcast —  A journalist-owned digital media company exploring the way technology is shaping–and is shaped by–our world. 

The Digiday Podcast — A weekly show about subscriptions, commerce, the modern newsroom, content creation, audio, streaming, and more.  

Freelancing for Journalists - How to approach freelancing, covering topics ranging from how to get started and what to include in pitches, to how to negotiate rates. Each episode includes guests on different career paths, and who have a variety of perspectives.    

IRE Radio Podcast (Investigative Reporters and Editors) — Behind the story with award-winning reporters, editors and producers to hear how they broke some big stories.

It's All Journalism — The series talks to working journalists about how they do their jobs, the latest trends in journalism, and the changing state of digital media. (not being updated) 

Journalism History — A scholarly journal covering the history of mass media.    

The Journalism Salute — A spotlight on interesting and important journalists and journalism organizations. 

The Kicker — This Columbia Journalism Review podcast explores serious and challenging topics related to journalism and media. (not being updated) 

Longform Podcast (longform.org) — A weekly conversation with a non-fiction writer on how they tell stories. (not being updated)  

Media Voices — Major media industry news each week from three experienced freelance journalists. The focus is on the business side of media and its impact on journalists’ work.

On the Media — Produced by WNYC radio, this is a weekly investigation into how the media shapes our worldview.  

Reveal (The Center for Investigative Reporting) — A look at CIR’s investigative reporting, focusing on real-world impact—from civil and criminal investigations to new laws and policies, better-informed conversations and community-driven solutions. 

Reuters Institute for the Study of Journalism — A discussion of the Institute's research on trends in media. Based at the University of Oxford, this think tank offers research on the future of journalism.   

The Tip Off — A behind the scenes look at standout investigative reporting from the journalists themselves. (not being updated) 

WriteLane (Tampa Bay Times and Poynter) — Some episodes explore a piece of the writing process: finding ideas, interviewing, seeking structure. Others dive deep into a single story, breaking down the how and why. Some include interviews with other journalists. (not being updated) 

Examples of older podcasts about journalists doing journalism: 

I'm Not A Monster (BBC Panorama and FRONTLINE PBS) — “How did an American family end up in the heart of the ISIS caliphate? Over four years, journalist Josh Baker unravels a dangerous story where nothing is as it seems.”   

The Other Latif (Radiolab)  — “How did this nerdy suburban Muslim kid come to be imprisoned at Guantanamo Bay?” 

The Canary | Washington Post Investigates —  “Two women and a shared refusal to stay silent. A seven-part podcast hosted by investigative reporter Amy Brittain.”

White Lies (NPR) — “In 1965, Rev. James Reeb was murdered in Selma, Alabama. Three men were tried and acquitted, but no one was ever held to account. Fifty years later, two journalists from Alabama return to the city where it happened, expose the lies that kept the murder from being solved and uncover a story about guilt and memory that says as much about America today as it does about the past.” 

The Line (Apple) — “Explore the impact of the forever wars on the U.S. Navy SEALs through the lens of the Eddie Gallagher case.”

The Lazarus Heist (BBC)  — “‘Almost a perfect crime.’ The hacking ring and an attempt to steal a billion dollars. Investigators blame North Korea. Pyongyang denies involvement. The story begins in Hollywood.” 

In the Dark (American Public Media) — “We investigate the case of Curtis Flowers, a Black man from Winona, Mississippi, who was tried six times for the same crime. Flowers spent more than 20 years fighting for his life while a white prosecutor spent that same time trying just as hard to execute him.”

Fluid & Crystallized Intelligence

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British psychologist Raymond Cattell in the early 1940s introduced the concepts of fluid and crystallized intelligence. Cattell defined fluid intelligence as the ability to reason, analyze, and solve novel problems. Innovators typically have an abundance of fluid intelligence. It is highest relatively early in adulthood and diminishes starting in one’s 30s and 40s. Crystallized intelligence, in contrast, is the ability to use knowledge gained in the past. Think of it as possessing a vast library and understanding how to use it. It is the essence of wisdom. Because crystallized intelligence relies on an accumulating stock of knowledge, it tends to increase through one’s 40s, and does not diminish until very late in life. Careers that rely primarily on fluid intelligence tend to peak early, while those that use more crystallized intelligence peak later. 

Arthur C. Brooks writing in The Atlantic

AI Supervision

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One coding team spent 3 days fixing what should have been a 2-hour problem. They had "saved" time by having AI generate the initial implementation. But when it broke, they lost 70 hours trying to understand code they had never built themselves. The time you save upfront gets charged back with interest later. The best teams avoid this because the human engineer actually understands the code. They shaped it. They made the key decisions. The AI just handled the mechanical work of typing it out. The new constraint is: "Can we understand the code we're writing fast enough to keep moving?" Treat code review as a comprehension verification step, not just a bug-catching exercise. - Paul Sangle-Ferriere

12 Articles about AI & Data Privacy

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AI takes the creativity out of cheating

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Confronted with allegations that they had cheated in an introductory data science course and fudged their attendance, dozens of undergraduates at the University of Illinois Urbana-Champaign recently sent two professors a mea culpa via email.  But there was one problem, a glaring one: They had not written the emails. Artificial intelligence had done the writing. -More in the New York Times

AI Misrepresentation of News

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New research has found that AI assistants routinely misrepresent news content no matter which language, territory, or AI platform is tested. Key findings:

45% of all AI answers had at least one significant issue.

31% of responses showed serious sourcing problems – missing, misleading, or incorrect attributions.

20% contained major accuracy issues, including hallucinated details and outdated information.

More at BBC News

24 Articles about the Business of Running an AI Company

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Common Crawl: The Nonprofit Doing the AI Industry’s Dirty Work – The Atlantic  

Anthropic says its Claude models show signs of introspection - Axios

xAI’s Wikipedia-like website is racist, transphobic, and loves Elon Musk – The Verge 

Inside the Data Centers That Train A.I. and Drain the Electrical Grid – The New Yorker

Saudi Arabia’s New Power Play Is Exporting A.I. to the World - The New York Times

OpenAI sees chance to reindustrialize U.S. - Axios 

Meta Cuts 600 Jobs at A.I. Superintelligence Labs - The New York Times

What happens when AI consumes too much clickbait.- Gizmodo  

The hottest term in AI is completely made up - The Washington Post

OpenAI launches Atlas browser to compete with Google Chrome – Associated Press

OpenAI's metamorphosis from chat app to tech giant - Axios

Is the Flurry of Circular AI Deals a Win-Win—or Sign of a Bubble? – Wall Street Journal

OpenEvidence, the ChatGPT for doctors, raises $200M at $6B valuation – Tech Crunch

As tech companies build A.I. data centers worldwide, vulnerable communities have been hit by blackouts and water shortages. - The New York Times

The Fight Over Whose AI Monster Is Scariest - Wall Street Journal

Got a Windows 11 PC? Get ready to talk to it. - The Washington Post

Silicon Valley Is Investing in the Wrong A.I. - The New York Times

AI Data Centers, Desperate for Electricity, Are Building Their Own Power Plants - Wall Street Journal

Just How Bad Would an AI Bubble Be? – The Atlantic

China now leads the U.S. in this key part of the AI race - The Washington Post

'Very troubling': AI's self-investment spree sets off bubble alarms on Wall Street - Yahoo

Reflection AI, an A.I. Model Start-Up, Raises $2 Billion - The New York Times

How Google Is Walking the AI Tightrope - Wall Street Journal 

New AI battle: White House vs. Anthropic - Axois

The shift in the creative arts brought on by AI

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Pixar is an analogy to explain the potential benefits of the shift in the creative arts brought on by AI. Before Pixar, there were these folks who were really high-end in terms of their craft. Animators put a lot of energy into the drawings in each frame. But once computers could automate that work, the role of the animators shifted. They were able to spend a lot more time — and, for that matter, put a lot more resources toward — thinking about storytelling and plot development.” -New York Times

AI Prompts & Verbalized Sampling

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A team of researchers have come up with an ingenuously simple method to get language and image models to generate a wider variety of creative responses to nearly any user prompt by adding a single, simple sentence: "Generate 5 responses with their corresponding probabilities, sampled from the full distribution."  The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. -VentureBeat 

Encouragement

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We appreciate what a person does, but we affirm who a person is. Appreciation comes and goes because it is usually related to something someone accomplishes. Affirmation goes deeper. It is directed to the person himself or herself. While encouragement would encompass both, the rarer of the two is affirmation. To be appreciated, we get the distinct impression that we must earn it by some accomplishment. But affirmation requires no such prerequisite. This mean that even when we don’t earn the right to be appreciated (because we failed to succeed or because we lacked the accomplishment of some goal), we can still be affirmed – indeed, we need it then more than ever. I do not care how influential or secure or mature a person may appear to be, genuine encouragement never fails to help. Most of us need massive doses as we slug it out in the trenches. 

Charles Swindoll, Strengthening Your Grip

AI Definitions: Facial recognition

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Facial recognition - This AI technology uses statistical measurements of a person’s face to identify them against a digital database of other faces. For instance, Clearview AI was trained on billions of images. These AI-powered systems are used to unlock phones, verify passports, and scan crowds at events for malicious actors. It’s used by many US agencies including the FBI and Department of Homeland Security. It has a serious problem with false positives and a history of unintended harms and intentional misuse based on racial and gender bias.

More AI definitions here