I'm bored
/I am quite happy when my kids whine that they are bored. Finding ways to amuse themselves is an important skill. -Sandi Mann
I am quite happy when my kids whine that they are bored. Finding ways to amuse themselves is an important skill. -Sandi Mann
According to psychologist Richard Wiseman, luck – bad or good – is just what you call the results of a human beings consciously interacting with chance, and some people are better at interacting with chance than others.
Over the course of 10 years, Wiseman followed the lives of 400 subjects of all ages and professions. He found them after he placed ads in newspapers asking for people who thought of themselves as very lucky or very unlucky. He had them keep diaries and perform tests in addition to checking in on their lives with interviews and observations. In one study, he asked subjects to look through a newspaper and count the number of photographs inside. The people who labeled themselves as generally unlucky took about two minutes to complete the task. The people who considered themselves as generally lucky took an average of a few seconds. Wiseman had placed a block of text printed in giant, bold letters on the second page of the newspaper that read, “Stop counting. There are 43 photographs in this newspaper.” Deeper inside, he placed a second block of text just as big that read, “Stop counting, tell the experimenter you have seen this and win $250.” The people who believed they were unlucky usually missed both.
Wiseman speculated that what we call luck is actually a pattern of behaviors that coincide with a style of understanding and interacting with the events and people you encounter throughout life.
Unlucky people are narrowly focused, he observed. They crave security and tend to be more anxious, and instead of wading into the sea of random chance open to what may come, they remain fixated on controlling the situation, on seeking a specific goal. As a result, they miss out on the thousands of opportunities that may float by.
Lucky people tend to constantly change routines and seek out new experiences. Wiseman saw that the people who considered themselves lucky, and who then did actually demonstrate luck was on their side over the course of a decade, tended to place themselves into situations where anything could happen more often and thus exposed themselves to more random chance than did unlucky people. The lucky try more things, and fail more often, but when they fail they shrug it off and try something else. Occasionally, things work out.
10 Best AI Tools for Social Media – Unite AI
Instagram Begins Randomly Showing Users AI-Generated Images of Themselves – 404 Media
Here’s what to know before using AI to craft your brand’s social media posts - Technical.ly
Meta plans to flood social media with AI-generated users and content - SiliconANGLE
AI Social Media Users Are Not Always a Totally Dumb Idea – Wired
Instagram Ads Send This Nudify Site 90 Percent of Its Traffic - 404 Media
TikTok owner ByteDance plans to spend $12 billion on AI chips in 2025 - Reuters
Instagram’s head says social media needs more context because of AI – The Verge
Meta Permits Its A.I. Models to Be Used for U.S. Military Purposes - The New York Times
Does Anyone Need an AI Social Network? – NY Mag
The rise of fake influencers – Axios
Will AI Suck the Humanity Out of Social Media? – Social Media Today
Elon Musk’s X is a haven for free speech — and noxious AI images – Washington Post
Meta Launches Custom AI Bot Creation Platform in the US - Social Media Today
Facebook Is Already Mistakenly Tagging Real Photos as "Made With AI" – Futurism
Hot AI Jesus Is Huge on Facebook – The Atlantic
Meta Is Offering Hollywood Stars Millions for AI Voice Projects – Bloomberg
How Reddit Fits Into the AI World – Wall Street Journal
Meta Moves to End Fact-Checking Program – New York Times
Is it still 'social media' if it's overrun by AI? – CBC
AI and Social Media Fakes: Are You Protecting Your Brand? – Law.com
Are geospatial foundation models all hype - Spatial Edge
Remote sensing image dehazing using a wavelet-based generative adversarial networks
Top 6 Examples of AI Guidelines in Design Systems
These Are The Soft Skills You Will Need As A Data Scientist in 2025
A Step-by-Step approach of satellite image xlassification with deep learning
AI Definitions: Deep Neural Networks
New training paradigm prevents machine learning models from learning spurious correlations
The geospatial sector unpacked in six questions
AI Definitions: Explainability
AI still doesn’t have the reasoning capabilities required to do 90% of my data science job
AI is Getting Smarter, But It Still Can’t Do My Data Science Job
AI Definitions: Unsupervised training
Challenges in data-driven geospatial modeling
AI can improve on code it writes, but you have to know how to ask
With AI Agents on the Scene, Structured Data is Back in Vogue
This coming May Nvidia’s Project DIGITS will launch
Bridging Foundational Machine Learning and Generative AI
IBM said it now generates revenue from deploying quantum systems and services
The Future of AI and Machine Learning in the Geospatial Sector
We are too often motivated by a craving to put an end to the inevitable surprises in our lives. This is especially true of the biggest "negative" of all. Might we benefit from contemplating mortality more regularly than we do? As Steve Jobs famously declared, "Remembering that you are going to die is the best way that I know to avoid the trap of thinking you have something to lose."
Oliver Burkeman
The second wave of AI coding is here – MIT Tech Review
OpenAI's new o3 model freaks out computer science majors – Axios
AI can improve on code it writes, but you have to know how to ask – The Register
What is the Best Language for Machine Learning? – Unite AI
The best AI for coding in 2025 (and what not to use) – ZD Net
An Anthropic scientist broke his hand on a bike and it forced him to write all his code with AI for two months. He is never going back.- Erik Schluntz
In the age of AI, there's no future for workers content with being code monkeys — and they know it – Business Insider
The best Large Language Models (LLMs) for coding in 2024 – Tech Radar
AI and Design Systems – Brad Frost
AI Coding Assistants: 12 Do’s and Don’ts – The New Stack
AI’s coding promises, and OpenAI’s longevity push - MIT Tech Review
If all experience of beauty is merely subjective, we find ourselves in a position in which some people like rice pudding and other people do not like rice pudding, which is then the conclusion of the matter. In short, it would mean that no two people have ever differed or ever can differ on a question of beauty. When one person says the Philadelphia City Hall is more beautiful than the Parthenon and another person denies this, they are not, on the subjectivist theory, arguing at all.
One man is telling about his insides and the other is telling about his insides. If someone wishes to contend that the works of a contemporary leader of a dance band are aesthetically superior to the works of Beethoven, there is, subjectively speaking, no suitable rejoinder.
This situation, however, is too absurd to be accepted by thoughtful critics as the last word on the question. The fact is that people do argue about aesthetic judgments, and the subjectivists argue as much as anybody else.
Regardless of their philosophical position, those who take beauty most seriously tend to hold that those who fail to see what they see really ought to see it, and with sufficient clarification of sight would see it.
Kant goes beyond the mere rejection of the familiar maxim and points out the imperative note which is essential to aesthetic judgment, a note similar to that which we found in moral judgment. To assert that a thing is beautiful is to blame those who do not agree. If I am right, they are wrong.
It would be laughable of a man to justify himself by saying, "This object is beautiful for me."
Elton Trueblood, Philosophy of Religion
Using AI & computer vision to diagnose greenhouse crops with diseases or pests – Tech Crunch
OpenAI introduced a new tool, called Operator, that can autonomously perform tasks on the internet – New York Times
AI brings better odds and betting concerns to sports gambling – Semafor
AI model that can distinguish between Scotch and American whiskeys with 100 percent accuracy (better than humans)– New Scientist
Engineers Develop AI Tool to Automate Finding Defects in Sewer Lines – CU Denver
Google’s new AI tool uses image prompts instead of text - CNN
This new AI technology enhances video analysis by detecting human actions in real time – Tech Radar
Researchers Use AI To Turn Sound Recordings Into Accurate Street Images – Univ of Texas
New methane monitoring AI tool unveiled – Axios
AI helps uncover hundreds of unknown ancient symbols hidden in Peru’s Nazca Desert – CNN
Google's DeepMind unveils an AI model capable of predicting the weather more accurately than existing forecasting systems – MIT Tech Review
How Indigenous engineers are using AI to preserve their culture – NBC News
Explore the World’s First 3D Replica of St. Peter’s Basilica, Made with AI – Open Culture
New Microsoft Teams AI promises to translate speech in real time – Semafor
Can a fluffy robot really replace a cat or dog? My weird, emotional week with an AI pet – The Guardian
Want to speak Italian? Microsoft AI can make it sound like you do. – Washington Post
Google's AI Tool Big Sleep Finds Zero-Day Vulnerability in SQLite Database Engine – The Hacker News
AI’s Impact on Insurance Innovation – Expert AI
Anyone Can Turn You Into an AI Chatbot. There’s Little You Can Do to Stop Them – Wired
Open Source AI – This is when the underlying source code of an AI is available to the public, including other businesses and researchers. It can be used, modified, and improved by anyone. Closed AI means access to the code is tightly controlled by the company that produced it. The closed model gives users greater certainty as to what they are getting, but open source allows for more innovation. Of course, once it’s out in the wild open-source AI is impossible to corral. It could be used to spread disinformation or cause other serious harm. Open-source AI would include Stable Diffusion, Hugging Face, Llama (created by Meta), and DeepSeek (from China). Closed Source AI would include Google’s Bard and, despite its name, OpenAI (creator of ChatGPT).
More AI definitions here
If you like the president’s politics, you probably like his voice and his appearance as well. The tendency to like (or dislike) everything about a person–including things you have not observed–is known as the halo effect. The term has been in use in psychology for a century, but it has not come into wide use in everyday language. This is a pity, because the halo effect is a good name for a common bias that plays a large role in shaping our view of people and situations. It is one of the ways the representation of the world that system one generates is simpler and more coherent than the real thing.
You meet a woman named Joan at a party and find her personable and easy to talk to. Now her name comes up as someone who could be asked to contribute to a charity. What do you know about Joan's generosity? The correct answer is that you know virtually nothing, because there is little reason to believe that people who are agreeable in social situations are also generous contributors to charities. But you like Joan and you will retrieve the feeling of liking her when you think of her. You also like generosity and generous people. By association, you are now predisposed to believe that Joan is generous. And that you believe she is generous you probably like Joan eve better than you did earlier, because you have added generosity to her pleasant attributes.
The sequence in which we observe characteristics of a person is often determined by chance. Sequence matters, however, because the halo effect increase the weight of the first impressions, sometimes to the point that subsequent information is mostly wasted.
Daniel Kahneman, Thinking, Fast and Slow
What to know about an AI transcription tool that ‘hallucinates’ medical interactions – PBS
Manchester virtual reality blood transfusion training programme could help save lives – About Manchester
Lethal snake venom may be countered by new AI-designed proteins - Science News
Why isn’t AI transforming biopharma as fast as we’d like? – Stat News
AI will now read your medical school application - AAMC
Machine learning reveals how metabolite profiles predict aging and health - News-Medical.Net
AI could transform health care, but will it live up to the hype? – Science News
Trump, and tech tycoons, stoke health AI hype with Stargate - Stat News
AI-powered app accurately detects high blood pressure through voice recordings – The Brighter Side
AI trial to spot heart condition before symptoms – BBC
What Your ‘Face Age’ Can Tell Doctors About Your Health – Wall Street Journal
Should you trust an AI-assisted doctor? I visited one to see. – Washington Post
The companies paying hospitals to hand over patient data to train AI - Stat News
New algorithm is twice as accurate at predicting stroke timing compared to the standard of care – Health Imaging
AI-powered blood test spots earliest breast cancer signs - University of Edinburgh
When A.I. and Doctors Make the Diagnosis – New York Times
Researchers use AI to define new subtypes of common brain disorder – Washington University Medical
How AI is shaping the future of the healthcare industry – Data Science Central
AI predictive modeling of survival outcomes for renal cancer patients undergoing targeted therapy – Nature
A.I. Chatbots Defeated Doctors at Diagnosing Illness – New York Times
Should a Student Reporter Face Prosecution for Embedding with Protesters? – Columbia Journalism Review
Why AI in Healthcare Harkens Back to Early Social Media Use – Bank Info Security
Interpretability (or interpretable AI which is similar but not the same as explainability and explainable AI) – The study of how to understand and explain the decisions made by artificial intelligence (AI) systems in order to audit them for safety and biases. It is a key ingredient of human-centered design because a more transparent model is usually more trustworthy—it's easier (than explainable AI) to verify and evaluate as well as easier and quicker to debug and optimize. However, this transparency through its inner workings can impact performance, especially when dealing with complex models, like neural networks. Interpretability techniques include decision trees, linear regression, scalable Bayesian rule lists, etc.
More AI definitions here
What: This GIJN webinar brings together leading experts to share practical advice and tips on navigating this often-overwhelming field. Attendees will learn the best platforms and techniques for obtaining free imagery, strategies for analyzing and processing the data, and ethical considerations when using it in investigative stories. Whether you’re looking to track deforestation, document urban expansion, or investigate geopolitical conflicts, this webinar will equip you with the skills to get started.
Who: Carl Churchill is a journalist at The Wall Street Journal; Yao Hua Law is an award-winning journalist from Malaysia; Laura Kurtzberg is a data visualization specialist, cartographer, and news applications developer with a particular interest in environmental stories; Manuela Andreoni, Chief Correspondent at Reuters based in Brazil.
When: 9 am
Where: Zoom
Cost: Free
Sponsor: Global Investigative Journalism Network
What: This session with Factchequeado, a fact-checking organization filling the gap of reliable information in Spanish in the U.S., will highlight the team’s takeaways from investigating disinformation impacting Latino communities during the 2024 elections. The team will share starting points for your investigations and tools to help with your reporting. They’ll also provide examples of Factchequeado investigative reporting to help inspire you.
Who: Laura Zommer, Factchequeado CEO and Co-founder; Rafael Olavarría, Factchequeado Politics and Immigration Fact-checker.
When: 1 pm, Eastern
Where: Zoom
Cost: Free to members
Sponsor: Investigative Reporters & Editors
What: We'll explore strategies for nurturing the next generation of business leaders, creative thinkers, and storytellers. Discover techniques and resources to support students in developing job-ready skills to launch their careers, as well as the marketing acumen and entrepreneurial spirit to find long-term success in a dynamic workforce landscape.
When: 12 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Pearson, Adobe, Meta
What: Ways to stay attentive to your mental health during your day-to-day work cycle and especially during a crisis.
Who: Gretchen Schmelzer, ICF certified senior coach, licensed psychologist, co-founder of the Center for Trauma and Leadership, and the author of Journey Through Trauma.
When: 3 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Radio Television Digital News Association
What: The key do’s, don’ts, and pitfalls to watch for when including science in your news reporting. Among the topics covered: Knowing whether and how science can enhance your story; Different kinds of studies and what each can—and cannot—reveal; Practical tips for identifying credible scientist-sources and interviewing them; and How to get the essentials from scientific reports, studies, and press releases.
Who: Freelance science reporter Elena Renken and Ph.D. neuroscientist Dr. Tori Espensen.
When: 2 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: SciLine, a free service for journalists and scientists based at the American Association for the Advancement of Science (AAAS), the world’s largest multidisciplinary scientific society.
What: This class is a First Amendment primer for students new to the topic and a great refresher for those whose work or volunteer service involves the Five Freedoms.
Who: Gregory V. Sullivan, Esq. is the President of Malloy & Sullivan, Lawyers Professional Corporation and teaches First Amendment Media Law at Suffolk University Law School in Boston.
When: 6:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: Nackey S. Loeb School of Communications
What: A discussion of key trends that are shaping the future of PR. Gain actionable insights into crafting a high-impact PR strategy for 2025, including leveraging AI with a human touch, bringing authenticity to media relations, and embracing data-driven approaches for effective communication. The discussion will also cover strategies for crisis management to build brand resilience and insights into using social media platforms to engage audiences, manage reputation, and address challenges.
Who: Hajira Amla, Nectar Marketing Communications; Michelle Garrett is a public relations consultant; Bill Byrne, founder of Remedy PR.
When: 11 am, Eastern
Where: Zoom
Cost: Free
Sponsor: Cision
What: Learn from the American Press Institute’s experience supporting news organizations to track sources in order to build community trust, improve reporting strategies and attract new revenue.
Who: American Press Institute Director of Product Strategy Liz Worthington; Sherkiya Wedgeworth, Managing Editor of Accountability and Outreach for Colorado Public Radio; Leigh Munsil, Editor in Chief at San Antonio Report; and Blanca Méndez, Community Engagement Editor at San Antonio Report.
When: 12:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: American Press Institute
What: This informative opportunity will cover the top newsrooms’ work culture, newsroom environment, salary, day-to-day routines, and much more. It will also provide a unique opportunity for members to network and ask direct questions to newsroom managers.
Who: Tim Lampley, Recruitment Manager, with Report for America, for a conversation about Report For America’s beat options, corps culture, and the application process.
When: 5:30 pm, Eastern
Where: Zoom
Cost: Free
Sponsor: National Association of Hispanic journalists
If I had only…
forgotten future greatness
and looked at the green things and the buildings
and reached out to those around me
and smelled the air
and ignored the forms and the self-styled obligations
and heard the rain on the roof
and put my arms around my wife
… and it's not too late.
Hugh Prather, Notes To Myself
Neglect creates distance between partners and breeds resentment in the one who is being ignored.
Students and Instructors Say AI Tool Helps With Understanding, Confidence in Course Materials – Inside Higher Ed
AI is a game changer for students with disabilities. Schools are still learning to harness it – Associated Press
She lost her scholarship over an AI allegation — and it impacted her mental health – USA Today
Teens Are Doing AI Research Now. Is That a Good Thing? – Chronicle of Higher Ed
OpenAI's new o3 model freaks out computer science majors - Axios
Plagiarism detection software sparks widespread student concern – Phys.org
What Students Are Saying About Teachers Using A.I. to Grade – New York Times
Is Grammarly AI? Notre Dame Says Yes – Inside Higher Ed
Judge Rules in Favor of School That Gave Student a Bad Grade for Using AI – Gizmodo
To Use AI or Not to Use AI? A Student’s Burden – Inside Higher Ed
The Scary Ways AI Has Affected Their Classroom – BuzzFeed
New AI Tools Are Promoted as Study Aids for Students. Are They Doing More Harm Than Good? – Ed Surge
Employers Say Students Need AI Skills. What If Students Don’t Want Them? – Inside Higher Ed
Should You Still Learn to Code in an A.I. World? – New York Times
4 Free AI Tools Designed for Students – Slashgear
If we must have some continuity in our lives – and we must – let it be of the sort that does not prevent renewal. -John Gardner
Deep Neural Network – A computer system with a structure inspired by neurons, or brain cells. It processes information in layers, with the deepest layers doing the most complex work. Scientists can train systems like these to “learn” human tasks, such as interpreting sounds. However, if understanding is inseparable from experience, then our physical embodiment may be difficult if not impossible to capture in symbolic processing systems.
More AI definitions here
Arizona’s getting an online charter school taught entirely by AI – TechCrunch
How a Campus Custom Built Its AI-Enabled Student Success Dashboard – Inside Higher Ed
AI Could Help Bring Down the Cost of College – Wall Street Journal
Higher ed growing more concerned with bias, data privacy violations of AI - Ed Scoop
AI May Ruin the University as We Know It – Chronicle of Higher Ed
How Will AI Influence Higher Ed in 2025? - Inside Higher Ed
AI is an existential threat to colleges. Can they adapt? – Washington Post
ChatGPT Doesn’t Have to Ruin College – The Atlantic
Nevada Asked A.I. Which Students Need Help. The Answer Caused an Outcry. - The New York Times
Colleges See Alarming Rates of Fake Applications. So They’re Turning to AI. - Chronicle of Higher Ed
Nevada Asked A.I. Which Students Need Help. The Answer Caused an Outcry. – New York Times
Most Campus Tech Leaders Say Higher Ed Is Unprepared for AI’s Rise - Inside Higher Ed
How Higher Ed Can Adapt to the Challenges of AI - Chronicle of Higher Ed
AI Is Taking Over College Admissions – The Nation
OpenAI is funding Duke University to research ‘AI morality.’ – TechCrunch
AI's Impact on College Cybersecurity - Chronicle of Higher Ed
Here are 4 options when dealing with false guilt.
1. Remove the Source of Guilt (the conscience)
This may only desensitize us to actual wrongs and could lead to a denial of real evil in our lives.
2. Emphasize Self-Potential
This fails to address the underlying problems and ignores any real wrongs.
3. Emphasize Punishment
This can lead to feeling guilt when caught, ignoring legitimate conviction.
4. Emphasize Forgiveness
If the guilt is false, there lacks a basis for forgiveness and the person may feel they haven’t suffered enough.
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