Thin Ice
/If you're going to walk on thin ice, you might as well dance!
If you're going to walk on thin ice, you might as well dance!
"ChatGPT will often link to news publishers aggregating original reporting, elevating these copycat articles over the initial story, or failing to surface the initial story at all. Frequently these copycats are far less reputable, including blogs and websites that have outright plagiarized established news outlets. This copycat citation problem even plagues news publishers that have active licensing deals with OpenAI." - Harvard’s Nieman Lab
Apache Spark - This data processing tool can be used on very large data sets. Its “cluster computing” uses resources from many computer processors linked together for rapid data processing and real-time analytics. Thus, it supports predictive analytics, a data science tool. For instance, it can analyze video or social media data automatically. It's a scalable solution so that users can easily introduce more processors into the system to make it more powerful.
More AI definitions here.
Kelly McGonigal, a psychologist at Stanford University and the author of “The Upside of Stress”, helps people rethink stress by telling them that it is what we feel when something we care about is at stake. She asks them to make two lists: of things that stress them; and of things that matter to them. “People realise that if they eliminated all stress their lives would not have much meaning,” she says. “We need to give up the fantasy that you can have everything you want without stress.”
In 2012 a group of scientists in America looked back at the 1998 National Health Interview Survey, which included questions about how much stress the 30,000 participants had experienced in the previous year, and whether they believed stress harmed their health. Next, they pored over mortality records to find out which respondents had died. They found that those who both reported high stress and believed it was harming their health had a 43% higher risk of premature death. Those who reported high stress but did not believe it was hurting them were less likely to die early than those who reported little stress.
The study shows correlation, not causation. But since much stress is unavoidable, working out how to harness it may be wiser than fruitless attempts to banish it.
Read more in the Economist
An AI Prompting Trick That Will Change Everything for You – Information Week
How to use Perplexity AI: Tutorial, pros and cons – Tech Target
What are the best AI tools for research? Nature’s guide - Nature
How DeepSeek’s Lower-Power, Less-Data Model Stacks Up – Wall Street Journal
Adobe’s Sora-rivaling AI video generator is now available for everyone – The Verge
ChatGPT Search is now open to everyone — no account required – Tom’s Guide
ChatGPT's Deep Research is a promising intern - Axios
I let ChatGPT’s new ‘agent’ manage my life – Washington Post
AI bots enter the group chat – Axio
ChatGPT vs. Claude vs. DeepSeek: The Battle to Be My AI Work Assistant – Wall Street Journal
How Helpful Is Operator, OpenAI’s New A.I. Agent? – New York Times
How DeepSeek and ChatGPT differed in our hands-on test - Axios
AI Mistakes Are Very Different From Human Mistakes – Spectrum
How to use AI to keep your New Year's resolutions – Axios
What Is Agentic AI, and How Will It Change Work? – Harvard Business Review
Google Unveils A.I. Agent That Can Use Websites on Its Own – New York Times
OpenAI’s video generator, Sora, aims to kickstart the AI video era – Washington Post
Why Are Women Less Likely to Use AI? – Bloomberg
The Many Ways WSJ Readers Use AI in Their Everyday Lives – Wall Street Journal
How To Create And Customize An AI Podcast With Google’s NotebookLM – Forbes
Using AI in PR: Experts explain how AI is enhancing PR workflows – Muck Rack
Who’s most likely to embrace AI in their daily lives? Many assume it’s the tech-savvy – those who understand how AI works – who are most eager to adopt it. Surprisingly, our new research finds the opposite. People with less knowledge about AI are actually more open to using the technology. - Read more at The Conversation
Let my hidden weeping arise and blossom. – Rainer Maria Rilke
The AI relationship revolution is already here – MIT Tech Review
What Spike Jonze’s ‘Her’ got right about AIs & modern love – The New York Times
AI chatbots can help you flirt and date – but don’t forget to be human - The Washington Post \
ChatGPT: Will you be my Valentine? More users are falling for AI companions – Semafor
The Rise of AI Boyfriends in China – Observer Voice
My Girlfriend Won’t Stop Using ChatGPT for Relationship Advice – VICE
She Is in Love With ChatGPT - The New York Times
An Autistic Teenager Fell Hard for a Chatbot – The Atlantic
An AI companion suggested he kill his parents. Now his mom is suing. - The Washington Post
Friend or Foe? – The Verge
AI Jesus' avatar tests man's faith in machines and the divine – Associated Press
What Does It Mean to ‘Love’ an AI? – Sixth Tone
Madeline recreated the voice of her deceased husband with AI - The New York Times
Robotic pets are bringing some older people real comfort - The Washington Post
The Therapist in the Machine – The Baffler
Can a fluffy robot really replace a cat or dog? My weird, emotional week with an AI pet – The Guardian
Scientists Find That Yelling at AI Chatbots Can Make You Feel Better – Futurism
Teenagers turning to AI companions are redefining love as easy, unconditional and always there – The Conversation
AI friendships claim to cure loneliness. Some are ending in suicide. - The Washington Post
2025 Dating Trend Predictions from Relationship Experts - The New York Times
Algorithms - Direct, specific instructions for computers created by a human through coding that tells the computer how to perform a task. Like a cooking recipe, this set of rules has a finite number of steps. More specifically, it is code that follows the algorithmic logic of “if”, “then”, and “else.” An example of an algorithm would be: IF the customer orders size 13 shoes, THEN display the message ‘Sold out, Sasquatch!’; ELSE ask for a color preference.
Algorithms make one of two approaches:
1. Rule-based algorithms – direct, specific instructions are created by a human.
2. Machine-learning algorithms – The data and goal is given to the algorithm, which works out for itself how to reach the goal. There is a popular perception that algorithms provide a more objective, more complete view of reality, but they often will simply reinforce existing inequities, reflecting the bias of creators and the materials used to train them.
More AI definitions here.
There are recovery programs for people grieving the loss of a parent, sibling, or spouse. You can buy books on how to cope with the death of a beloved pet or work through the anguish of a miscarriage. We speak openly with one another about the bereavement that can accompany a layoff, a move, a diagnosis, or a dream deferred. But no one really teaches you how to grieve the loss of your faith. You’re on your own for that.
Rachel Held Evans, Searching for Sunday
What are the best AI tools for research? Nature’s guide - Nature
Exploring the Impact of Generative AI on Peer Review: Insights from Journal Reviewers – Springer
OpenAI unveils a new ChatGPT agent for ‘deep research’ – TechCrunch
AI-Generated Junk Science Is a Big Problem on Google Scholar, Research Suggests – Gizmodo
What happens when you let ChatGPT assess impact case studies? – London School of Economics
Generative AI in the research process – A survey of researchers’ practices and perceptions – Science Direct
Springer Nature offers to sell authors “AI Summaries of Their Own Work” – Futurism
Teens Are Doing AI Research Now. Is That a Good Thing? - Chronicle of Higher Ed
How is content generated by ChatGPT infiltrating scientific papers published in premier journals? – Wiley
Elsevier denies AI use in response to evolution journal board resignations – Retraction Watch
Springer Nature reveals AI-driven tool to 'automate some editorial quality checks' – The Bookseller
Nvidia unveils $3,000 desktop AI computer for home researchers - ArsTechnica
Generative artificial intelligence and academic writing: friend or foe? - Elsevier
Detecting Research Misconduct in the Age of Artificial Intelligence – The Scientist
Can AI-generated podcasts boost science engagement? – Nature
AI-Authored Abstracts ‘More Authentic’ Than Human-Written Ones – Inside Higher Ed
Scholars Are Supposed to Say When They Use AI. Do They? - Chronicle of Higher Ed
Will ChatGPT Get Tenure? - Leiden Vladtrice
If you write a prompt asking an AI to do each of these things, which would it be good at doing?
a. Give me a cube root of a seven-digit number.
b. Write text backwards.
c. Give me a 5x12 animated GIF of green, falling Matrix letters in Python code.
d. I have a stack of Fiesta ware plates of these colors: green, yellow, orange, red, purple. Two slots below the purple one, I placed a yellow one, then one slot above the green one, I placed a black one. What is the final stack of plates?
e. Give me a list of 10 examples of something.
Riley Goodside, lead prompt engineer for Scale AI gives the answer in a conversation with Semafor
Perhaps the secret of living well is not in having all the answers but in pursuing the unanswerable questions in good company. - Rachel Naomi Remen
AI Is Coming Up With Brand New Molecules, Fueling Drug Discovery - Science Friday
Blurry Authorship: Originality in Science before and after Large Language Models – University of California Press
How are researchers using AI? Survey reveals pros and cons for science – Nature
Google’s X spins out Heritable Agriculture, a startup using AI to improve crop yield – Tech Crunch
OpenAI’s ‘deep research’ tool: is it useful for scientists? – Nature
AI Comes to the Apple Orchard—From Pollinating to Picking – Wall Street Journal
With generative AI, MIT chemists quickly calculate 3D genomic structures – MIT
How should the advancement of large language models affect the practice of science? – PANS
Scientists trained AI to predict gene activity, a potentially powerful tool – Washington Post
Using AI to talk to animals – Axios
How Hallucinatory A.I. Helps Science Dream Up Big Breakthroughs – New York Times
Can AI-generated podcasts boost science engagement? - Nature
New methane monitoring AI tool unveiled - Axios
AI helps uncover hundreds of unknown ancient symbols hidden in Peru’s Nazca Desert – CNN
AI Scientists Have a Problem: AI Bots Are Reviewing Their Work – Chronicle of Higher Ed
Two biotech companies claim they use AI to design drugs from scratch. Do they? – Stat News
Exploring the Impact of Generative AI on Peer Review: Insights from Journal Reviewers – Springer
Scientists Harness AI to Help Protect Whales, Advancing Ocean Conservation and Planning – Rutgers
AI Reveals Hidden Interior Design Rules of the Cell - IEEE Spectrum
I believe in the sun when it's not shining, I believe in love even when I feel it not, I believe in God even when he is silent. – Irish Saying
Imagination is more important than knowledge. – Albert Einstein
"People are increasingly falling for their favorite chatbots, spending hours each day building relationships with their artificial lovers. Chatbot site Janitor AI says users have started 2.1 million conversations with its Valentine’s Day bots." -Read more on Semafor
Russian TV falls for fake report on DeepSeek's 'Soviet code' - Reuters
DeepSeek hallucinates alarmingly more than other AI models – Semafor
Low quality books that appear to be AI generated are making their way into public libraries – 404 Media
Trump deepfake message to Putin fooled Russians - VOA News
Meta’s fake AI users are here and they’re giving everybody the creeps – Sherwood
YouTube launching new tools to help celebrities manage AI copycats - Semafor
Apple urged to axe AI feature after false headline - BBC
Instagram’s head says social media needs more context because of AI – The Verge
How to identify AI-generated text: 7 ways to tell if content was made by a bot – Mashable
Stanford Professor Accused of Using AI to Write Expert Testimony Criticizing Deepfakes – Gizmodo
Experts fail to reliably detect AI-generated histological data – Nature
A Survey on the Use of Large Language Models (LLMs) in Fake News - MDPI
Combating misinformation in the age of LLMs: Opportunities and challenges – Wiley
A meta-analysis of correction effects in science-relevant misinformation – Nature
Meta Moves to End Fact-Checking Program – New York Times
AI and Social Media Fakes: Are You Protecting Your Brand? – Law.com
Cyber expert weighs in on spotting fake, AI-generated information on social media and online – ABC
Phishing with AI is cybersecurity’s new hook – McKinsey
No. 42 law firm by head count could face sanctions over fake case citations generated by AI – ABA Journal
Fake AI hedge fund manager admits fraud in U.S. – Investment Executive
Imitation Learning – This is a popular method for training robots, along with reinforced learning. The robots learn by watching humans or by being given data on other robots which are being operated by humans. Out of fashion for decades, it has recently come back into favor in robotics as a result of AI. The downside to this technique is the need for large amounts of data in order for the robots to imitate new behaviors.
More AI definitions here
It happened years ago, but I've never forgotten it. I was singing and speaking at a small Midwestern college. During an informal seminar in one of the dorm lounges, a couple came in late.
I couldn't help noticing something odd about them. The girl was very attractive, close to cover-girl standards. The guy looked as if he had just walked off the set for The Nerds. He was short, wore thick horn-rimmed glasses and a plaid short-sleeved shirt. He was definitely a candidate for getting sand kicked in his face.
But the strangest thing of all was that these two were obviously in love. What could she possibly see in him? I asked myself. Suddenly I realized — she was blind.
But what did she see in him? Everything. Everything that's important about who a person is, what love is, and what a real man is. She saw everything she needed to know about him.
Blessed are the blind, for they can see people as they really are. Woe to those who can see, for they will constantly be tripped up by the image.
John Fischer
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