The Jobs that are Safer from AI

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What AI struggles with is not intellectual difficulty or specialized skills and knowledge, but with messy workflows. Jobs that require juggling multiple pieces of information, responding to changing environments, or unclear goals remain challenging for even the most advanced AI tools. Think about it. Secretaries and even the office intern are constantly multi-tasking with shifting priorities. AI can’t handle that chaos yet. Writers and programmers also have the added vulnerability of high freelancing rates. Companies can easily swap in AI for non-staff employees without HR getting involved. The more a job involves collaboration, co-operation, and a little bit of mess, the harder it is to automate. -John Burn-Murdoch, Financial Times

17 Articles about AI & Ethics

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AI Attending Class

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Two students in Austria created a program that is attending classes and is treated like any other student. It attends lectures, turns in artwork for assignments, collaborates with classmates and will receive grades on submitted work. ‘Flynn’ is testing the boundaries of artificial intelligence tools, and could, in theory, progress toward a diploma.” - Washington Post

27 Recent Articles about AI & Journalism

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We need to bridge the fault line emerging in debates about AI and the future of news – Reuters

What news audiences can teach journalists about artificial intelligence – Editor & Publisher 

How AI is steering the media toward a ‘close enough’ standard – Fast Company

The LA Times Has ‘Moved On’ From AI-Driven Bias Meter After KKK Snafu – The Wrap

The New York Times’ Zach Seward on embracing AI – Depth Perception 

Audiences are still skeptical about generative AI in the news – Poynter

Will A.I. Save the News? – New Yorker 

AI tools have fueled a rise in expert commentator—who are not real – Press Gazette  

Bloomberg Has a Rocky Start With A.I. News Summaries – New York Times  

Independent says readers ‘often prefer’ stories provided by new AI service to human-written versions of those articles– Press Gazette

How ProPublica Uses AI Responsibly in Its Investigations - ProPublica

AI search has a news citation problem - Digital Content – Digital Content Next 

Newsquest now employing 36 ‘AI-assisted reporters’ – Press Gazette

AOL’s AI Image Captions Terribly Describe Attempted Murder – 404 Media 

AI in the newsroom: What researchers learned from the AP and the BBC – Journalism Resources

What Journalists Should Know About Deepfake Detection in 2025 – Columbia Journalism Review

We Compared Eight AI Search Engines. They’re All Bad at Citing News. – Columbia Journalism Review

Gannett seeks AI sports editor amid union tensions, past controversies – Awful Announcing

Patch says it has expanded to nearly every town in the U.S. using AI – Axio  

LA Times to display AI-generated political rating on opinion pieces - The Guardian

Key Questions for Journalists to Consider Before Using Generative AI – The Open Notebook

Meet the journalists training AI models for Meta and OpenAI – Nieman Lab

How DeepSeek stacks up when citing news publishers - Nieman Lab 

The Dangerous A.I. Nonsense That Trump and Biden Fell For - New York Times  

How AI “expert sources” have duped journalists and four tips on how to avoid being the next victim – Dynamics of Writing  

Is this AI or a journalist? Research reveals stylistic differences in news articles – Tech Explore  

5 ways science journalists can leverage AI in their work - International Journalists' Network

AI in the Next Decade

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“Over the course of the next 10 years, AI-powered institutions will rise in the rankings. US News & World Report will factor a college’s AI capabilities into its calculations. Accrediting agencies will assess the degree of AI integration into pedagogy, research, and student life. Corporations will want to partner with universities that have demonstrated AI prowess. In short, we will see the emergence of the AI haves and have-nots. Prepare for an ever-widening chasm between resource-rich, technologically advanced colleges and those that are cash-starved and slow to adapt to the age of AI.” - Chronicle of Higher Ed

The Lesson of Disenchantment

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The lesson of disenchantment begins with the discovery that if you want to change – really to change, and not just to switch positions – you must realize that some significant part of your old reality was in your head, not out there. The flawless parent, the noble leader, the perfect wife, and the utterly trustworthy friend are an inner cast of characters looking for actors to play the parts. One person is on the lookout for someone older and wiser, and another is seeking an admiring follower. And when they find each other they fit like the interlocking pieces of a puzzle.

Or almost. Actually, the misfit is greater than either person knows, or even wants to know. The thing that keeps this misperception in place is an “enchantment,” a spell cast by the past on the present. Most of the time, these enchantments work fairly well, but at life’s turning points they break down. Almost inevitably, we feel cheated at such times, as though someone were trying to trick us. But usually the earlier enchanted view was as “real” as we could manage a the time. It corresponded to a self-image and a situation and it could not change without affecting ourselves and others.

William Bridges, Transitions

16 Recent Articles about AI & Video

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16 Articles about AI & the Military

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Generative AI is learning to spy for the US military – MIT Tech Review  

AI Military AI is here. Some experts are worried – Fast Company  

Pentagon signs AI deal to help commanders plan military maneuvers – Washington Post  

A German startup specializing in geospatial data, is using sensing technology in autonomous vehicles to map the seafloor to strengthen underwater military defense – Wall Street Journal  

A.I. Military Start-Up Anduril Close to Deal That Would Value It at $28 Billion – New York Times 

Military AI Will Mean Overhauling Test as Well as Tactics: DOD’s First AI Chief – Air & Space Forces Magazine  

US Military Intelligence Industry Research Report 2024-2026: Focus on Natural Language Processing, Geospatial Intelligence, Open-source Intelligence GenAI, and Emerging APIs – Business Wire  

The US Central Command is employing large language models for some of its processes – AFCEA 

Military takes on question of when AI is the right thing to do – Military Aerospace  

Meta Permits Its A.I. Models to Be Used for U.S. Military Purposes - New York Times

The Technology for Autonomous Weapons Exists. What Now? – Undark

Air Force continues to expand its version of ChatGPT following summer launch – Stripes  

This Space Spy Agency’s AI Shift May Hint at Your Company’s Future Facing- Inc

Microsoft workers say they were fired for protesting Israel’s use of AI – ABC News  

8 countries that are scaling up AI in their military – Quartz  

Oracle to provide cloud computing, AI services to Singapore military – Reuters

Anger in Relationships

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No one in a relationship problem is ever totally innocent or totally guilty. With this belief, people can always keep the door open to their own faults without engaging in excessive, guilt-provoking self-incrimination. Holding back anger for even a short time and engaging in self-analysis in private has the effect of tempering the expression of anger. Confession altars our goals from changing others to changing the relationship.

Gary Collins, Counseling and Anger

AI Definitions: Sentiment analysis

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Sentiment analysis (also known as opinion mining or emotion artificial intelligence) – A tool using natural language processing techniques to collect and analyze the tone behind how people interact online with a brand. It attempts to get past numbers (mentions, comments, etc.) to extract subjective qualities from data—including attitudes, emotions, sarcasm, confusion or suspicion. Sentiment analysis makes use of data mining, machine learning, artificial intelligence and computational linguistics to arrive at actionable insights.

More AI definitions here.

Motivated by Screaming

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I had the most satisfying Eureka experience of my career while attempting to teach flight instructors that praise is more effective than punishment for promoting skill-learning. I was telling them about an important principle of skill training: rewards for improved performance work better than punishment of mistakes. This proposition is supported by much evidence from research on pigeons, rats, humans and other animals.

When I had finished my enthusiastic speech, one of the most seasoned instructors in the audience raised his hand and made a short speech of his own. He began by conceding that positive reinforcement might be good for the birds, but he denied that it was optimal for flight cadets. This is what he said,

“On many occasions I have praised flight cadets for clean execution of some aerobatic maneuver. The next time they try the same maneuver they usually do worse. On the other hand, I have often screamed into a cadet’s earphone for bad execution, and in general he does better one his next try. So please don’t tell us that reward works and punishment does not, because the opposite is the case.”

This was a joyous moment of insight, in which I saw in a new light a principle of statistics that I had been teaching for years. The instructor was right – but he was also completely wrong! His observation was astute and correct: occasions on which he praised a performance were likely to be followed by a disappointing performance, and punishments were typically followed by an improvement. But the inference he had drawn about the efficacy of reward and punishment was completely off the mark.

What he had observed is known as regression to the mean, which in that case was due to random fluctuations in the quality of the performance. Naturally, he praised only a cadet whose performance was far better than average. But the cadet was probably just lucky on that particular attempt and therefore likely to deteriorate regardless of whether or not he was praise. Similarly, the instructor would shout in to a cadet earphones only when the cadet’s performance was usually bad and therefore likely to improve regardless of what the instructor did. The instructor had attached a causal interpretation to the inevitable fluctuations of a random process.

Daniel Kahneman, Thinking Fast and Thinking Slow

11 Articles about AI & Photography

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26 Articles about Amazing Things AI can do now

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How Google Used AI to Re-Create ‘The Wizard of Oz’ for the Las Vegas Sphere – Wall Street Journal  

New AI chips transfer data using light instead of electricity for greater speed – Reuters

New AI algorithm to predict risk of cardiovascular events, heart-related death – AP 7am

AI is shaking up the hidden world of earthquake forecasting – The Star

This new AI tool changes a speaker's accent to American English in real-time - hear for yourself – Zdet  

Doctors Told Him He Was Going to Die. Then A.I. Saved His Life.- New York Times

Arizona Supreme Court taps AI avatars to make the judicial system more publicly accessible – Associated Press 

Agibot unveils AI model that allows humanoid robots to perform real-world tasks – SCMP  

How A.I. Is Changing the Way the World Builds Computers - New York Times

Artificial intelligence finds 5,000-year-old civilization beneath Dubai desert – Jerusalem Post

AI made its way to vineyards. Here’s how the technology is helping make your wine – Associated Press 

Google Cloud unveils AI-powered weather predictions - Axios 

The New Leverage: AI and the Power of Small Teams – Jarango

Duke Health develops AI model that predicts mental health illness risks for adolescents – CBS 17  

AI can outperform humans in predicting correlations between personality items – Nature

McDonald’s Gives Its Restaurants an AI Makeover - Wall Street Journal

These AI powered earbuds pack a secret — you can record and translate speech – Tom’s Guide  

Earth AI is using AI algorithms to identify overlooked deposits of critical minerals – Tech Crunch   

Surveillance software uses machine learning and motion analysis to help retailers catch shoplifters – Financial Times

A weather model that offers a faster and more efficient alternative to traditional forecasting methods – The Register 

A small robot can be used to detect and potentially treat cancers found in the large intestine – Medical Express  

A new AI tool helps recruitment agencies automate outreach and follow-ups - Financial Times

Krisp is using AI to change user accents during phone calls in real-time. - Tech Crunch  

Scientists in the UK have developed an AI model that speeds up the diagnosis of coeliac disease – The Guardian

AI and satellites help aid workers respond to Myanmar earthquake damage – Associated Press

Meta Unveils Mind-Reading AI That Types Your Thoughts with Shocking Precision – The Brighter Side