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

20 Recent Articles about the Impact of AI on Health Care

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

AI is helping patients fight insurance company denials – NBC News

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

An Artificial Intelligence Code of Conduct for Health and Medicine –  National Academy of Medicine

Mayo Clinic develops AI tool that can identify 9 dementia types with a single scan – R & D World Online 

Abridge, Whose AI App Takes Notes for Doctors, Valued at $5.3 Billion at Funding – Wall Street Journal  

AI tool diagnoses nine types of dementia with 88% accuracy using a single PET scan – Technology Networks 

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

AlphaGenome is an AI-powered platform aiming to predict how genetic code variants lead to different diseases – Stat News  

Doctors Report the First Pregnancy Using a New AI Procedure – TIME  

New Arizona law prevents AI from making health insurance denials – AZ Family 

WVU researchers test AI’s limits in emergency room diagnoses – West Virginia University 

The expanding role of AI in dentistry: beyond image analysis – Nature

AI faces skepticism in end-of-life decisions, with people favoring human judgment – Medical Xpress

Explainability in the age of large language models for healthcare - Nature 

It’s too easy to make AI chatbots lie about health information, study finds – Reuters

AI companies have stopped warning you that their chatbots aren’t doctors – MIT Tech Review 

Doctors at Cedars-Sinai develop AI-powered mental health ‘robot’ therapist – LA Times

Microsoft Says Its New AI System Diagnosed Patients 4 Times More Accurately Than Human Doctors – Wired

A GPT-powered medical device certified in Europe raises questions about generative AI in health care – Stat News

The fear that AI will Flatten Everything

I understand the fear that AI will flatten everything — our voices, our culture, even our humanity. It’s a genuine concern. When algorithms prioritize patterns over personality, the result can be unnervingly uniform. Language becomes smooth but soulless. Distinctiveness gets edited out. And yet — I don’t believe the story ends there. History tells us something else: that when more people can express themselves, culture expands. The spectrum widens. And over time, we find new ways to value voice, not just polish. Yes, we’ll have to work harder to preserve individuality. To notice when we’re defaulting to the safe or generic. -Youjin Nam writing in Medium

AI & Liberal Arts

In a liberal arts education, the student herself is the product. 

Instead of creating a product, humanities education is different. The students themselves are what’s getting created and recreated through the learning process.

A liberal arts education is to be personally transformative by cultivating virtues. 

Aristotle saw education as a pursuit that’s personally transformative. He believed the most fundamental goal was not just imparting knowledge, but cultivating virtues that make for a flourishing life. 

A product-based, utilitarian vision of college is inadequate. 

A college must be a place where the goal of flourishing lies underneath the assignments, the tests, the discussions, the feedback, the clubs, and the social structure. Using generative AI in the classroom threatens to leave out of the process something vital: friction. Cognitive automation threatens to minimize cognitive friction.

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16 Webinars this week about AI, Journalism & Media

Mon, July 28 - AI Literacy: A Toolkit for Family Engagement

What: Learn about a brand-new toolkit for family engagement around AI literacy. We’ll dive into videos, activities for hands-on learning moments, and conversation cards to spark thoughtful discussions.

Who: Valerie Brock, Former Educator, Current Director of Curriculum, Day of AI; Tali Horowitz, East Coast Education Director, Common Sense Education; Jennifer Ehehalt, Sr. Regional Manager, Midwest, Common Sense Education.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: Day of AI & Common Sense Media

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Mon, July 28 - Building Agentic Systems With PydanticAI

What: Hands-on, high-level walkthrough of agentic system design using PydanticAI, a new open-source library that turns LLMs into structured, tool-enabled agents.

Who: Zhen (Tony) Zhao, Full-Stack Data Scientist, IDinsight.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsors: IDinsight & OpenAI Academy

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Tue, July 29 - Learn how to host a community journalism training to keep local journalism thriving

What: Lessons from a community journalism seminar held earlier this year. We’ll offer practical tips and lessons learned in hosting the program, which featured guest lecturers, a field trip to a local newsroom and a finished piece of journalism from each participant.

Who: Jake Wittich, managing editor of Windy City Times; Anna DeShawn, coordinator of Windy City Times’ BLACKlines newsletter and founder of E3 Radio; Reyna Ortiz, program director at Taskforce Prevention and Community Services and a member of Windy City Times’ community journalism training cohort; Lindsey Young, co-owner of Kansas Publishing Ventures and instructor at Earn Your Press Pass.

When: 12:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The Reynolds Journalism Institute

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Tue, July 29 - Solidarity Journalism – Reporting for Social Justice Beyond Taking Sides

What: Practical frameworks for journalists and editors to distinguish solidarity for basic dignity from partisanship, prioritize truth over both-sidesism, and build credibility through inclusive, justice-driven coverage. Learn how solidarity journalism can strengthen journalism’s pursuit of truth, deepen audience connection, and uphold the core mission of journalism to serve the public in an era of growing polarization and disinformation.

Who: Anita Varma, a faculty member at the University of Texas at Austin.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

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Tue, July 29 - How To Build Scalable Marketing During Lean Times

What: How to streamline marketing operations by connecting the right people, processes, and technology. This conversation will explore how to spot inefficiencies, reduce friction, and deploy technology that enhances, not hinders, your workflow. You’ll also hear how leading brands are building more agile teams and proving marketing’s value through smarter execution.

Who: Oliver Kimberley, General Manager, Managed Services, Quad. George Forge, SVP Client Technology & Development.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Quad

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Tue, July 29 - Critical Thinking for Leveraging AI in Sales and Training: How Credible is AI?

What: How to master the skills that keep you ahead of the curve, trusted by your clients, and indispensable to your organization. Cut Through the Noise About AI in the Media: Discover what’s real, what’s risky, and what actually drives results for sales and marketing teams. Protect Your Credibility: Learn how to spot AI-generated errors before they undermine your client relationships and professional reputation.

Who: C. lee smith C. Lee Smith CEO of SalesFuel, Global Sales Credibility Authority.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: SalesCred

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Wed, July 30 - AI in Libraries: Transforming Information Access

What: Explore how AI enhances library services, including automated cataloging, AI-driven search tools, and personalized recommendations. Discuss ethical considerations and best practices for implementation.

Who: Dr. Treg Hopkins Co-Founder of Connectable, an Indiana-based nonprofit; Meg Adams Central Regional Coordinator, Indiana State Library.

When: 10 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Indiana State Library

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Wed, July 30 - The 5 Ws of Research

What: Learn how to uncover public records and hard-to-find facts.

Who: Caryn Baird Researcher for PolitiFact; Loreben Tuquero Staff Writer, PolitiFact; Lane DeGregory Enterprise reporter, Tampa Bay Times.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Poynter

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Wed, July 30 - Blending Creativity with AI - Advanced Story Design for Learning

What: Explore how blending AI with creative storytelling can revolutionize eLearning design in our session, "Blending Creativity with AI - Advanced Story Design for Learning." Discover the power of branching scenarios and AI-driven narratives to create personalized, engaging, and memorable learning experiences that cater to individual needs.   We will walk through an example live with audience on how to write branching scenarios with AI as a helper and you can.

Who: Garima at atd Garima Gupta, M.Ed., B.E., CTDP Founder & CEO, Artha Learning Inc.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Open Sesame

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Wed, July 30 - Generational Giving: How to Better Connect with Each Generation

What: Learn about: How different generations prefer to get involved with your organization. Communication preferences and strategies for Generation Z through Baby Boomers. Tips on how to account for donor preferences in your follow-up and retention efforts.

Who: James Goalder, Partnerships Manager at Bloomerang.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Nonprofit Tech for Good

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Wed, July 30 - Disappearing Data and How Reporters Can Respond

What: We’ll review new changes and holes in the federal data landscape and discuss potential strategies for reporters looking to ground stories on a firm foundation of data and facts.

Who: Jarvis Chen is a social epidemiologist and senior lecturer on social and behavioral sciences at the Harvard T.H. Chan School of Public Health; Julia Lane is a professor emerita at the NYU Wagner Graduate School of Public Service; Angeliki Kastanis is data editor at The Associated Press; J. Emory Parker is the data editor at STAT.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: USC Anneberg Center for Health Journalism

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Wed, July 30 - Structuring your data for AI: what you need to know

What: Hear from experts about how to get your data in order before moving forward with AI.  Specifically, you’ll learn: The elements of a good data governance strategy to empower AI. Where agencies are gaining productivity by harnessing their data. Where agencies can go awry when it comes to data formatting.

Who: Chris Burroughs, Director, Data Protection and Governance, Commonwealth of Virginia.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Govloop

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Wed, July 30 – Strengthening Ties between Local History Organizations and News Media

What: Tips for history organizations looking to engage local journalists around potential stories and insight on other roles the press can play in community life. After about 15 minutes of presentation, attendees will participate in a facilitated conversation and Q&A centered around how to think about sharing your stories with local journalists, what to expect when engaging a local journalist, and what opportunities there may be beyond news stories, too.

Who: Samantha Ragland of the American Press Institute.

When: 3 pm, Eastern

Where: Zoom

Cost: $25 for members, $45 for non-members

Sponsor: The American Association for State and Local History

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Thu, July 31 - New research: What news consumers want to know about journalists’ use of AI

What: Survey responses from actual news consumers in the U.S., Brazil and Europe and hear how the public responded to different versions of AI use disclosures used in new stories.

Who: University of Minnesota researcher Benjamin Toff.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Trusting News

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Thu, July 31 - AI Tools That Make You More Money

What: We will discuss and demonstrate how the AdApt Media Sales platform increases efficiency and revenue for our local media partners. 

Who: Dave Buonfiglio, Jeff Gallop Partners AdApt Media Sales.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Local Media Association

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Thu, July 31 - AI-Powered Digital Twins: Transforming Learning & Development

What: Join us as we explore how AI-powered digital twins are revolutionizing the learning and development landscape by converting human expertise into scalable, durable, and accessible resources.

Who: Phylise Banner Director of eLearning, Champlain College Online; David James Clarke IV CEO and Co-founder, Praxis AI.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Open Sesame

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Game Theory & Pascal’s Wager

Pascal’s argument (written in the 1600’s) went like this: Suppose you concede that you don’t know whether or not God exists and therefore assign a 50 percent chance to either proposition How should you weight these odds when decided whether to lead a pious life? If you act piously and God exists, Pascal argued, your gain – eternal happiness - is infinite. If, on the other hand, God does not exist, your loss, or negative return, is small – the sacrifices of piety. To weigh these possible gains and losses, Pascal proposed, you multiply the probability of each possible outcomes by its payoff and add them all up, forming a kind of average or expected payoff. 

In other words, the mathematical expectation of your return on piety is one-half infinity (your gain if God exists) minus one-half a small number (your loss if he does not exist). Pascal knew enough about infinity to know that the answer to this calculation is infinite, and thus the expected return on piety is infinitely positive. Every reasonable person, Pascal concluded, should therefore follow the laws of God. Today this argument is know as Pascal’s wager. 

Pascal’s wager is often considered the founding of the mathematical discipline of game theory, the quantitative study of optimal decision strategies in games.

Leonard Mlodinow, The Drunkard's Walk: How Randomness Rules Our Lives

17 Recent Articles about the Dangers of AI

Teens & AI Companionship

“In interviews with The Associated Press and a new study, teenagers say they are increasingly interacting with AI as if it were a companion, capable of providing advice and friendship. ‘Everyone uses AI for everything now. It’s really taking over,’ said Kayla Chege, a high school student in Kansas, who wonders how AI tools will affect her generation. ‘I think kids use AI to get out of thinking.’ More than 70% of teens have used AI companions and half use them regularly, according to a new study from Common Sense Media.” -Associated Press

AI Definitions: Natural Language Processing

Natural language processing - This type of machine learning transfers language into numbers to make it intelligible to machines. The first step is tokenization, where text is divided into word units called tokens. These tokens are then transformed into vectors. These vectors are lists of numbers. A single word token might be represented by more than 1,000 numbers in a vector. The vector is considered to have a higher dimension when many numbers are used. The meaning is therefore nuanced. A low dimension for a vector means the list of numbers is low. While a low dimension is not as nuanced, it is easier to work with. A deep learning model (typically a transformer model) can use these vectors to understand the meaning of words and determine how the words relate to one other. An example would be “king “relates to “man” while “queen” relates to “woman.”

More AI definitions here

What the Humanities are For

As one student said to his professor at New York University, in an effort to justify using AI to do his work for him, “You’re asking me to go from point A to point B, why wouldn’t I use a car to get there?” It’s a completely logical argument — as long as you accept the utilitarian vision. The real solution, then, is to be honest about what the humanities are for: You’re in the business of helping students with the cultivation of their character. -Sigal Samuel writing in Vox

22 Articles about the Business of Running an AI Company

The business of running an AI 

Trump’s ‘anti-woke AI’ order could reshape how US tech companies train their models – Tech Crunch 

Google users are less likely to click on links when an AI summary appears in the results – Pew Research

OpenAI's data center ambitions collide with reality - Axios

Making Sense of the Billion-Dollar AI Mega Deals – The Wrap 

AI's anything-goes moment - Axios

Google and OpenAI are vying for top AI mathlete - Axios 

AI Is Dividing the Fortunes of the Magnificent Seven – Wall Street Journal  

Anthropic launches its first big disruption to the finance industry - Axios  

Reflections on OpenAI (from a recent employee) - Calvin French-Owen 

OpenAI and Anthropic researchers decry ‘reckless’ safety culture at Elon Musk’s xAI – Tech Crunch 

A coalition of funders say they will spend $1 billion to help develop AI tools for public defenders, parole officers, social workers – Associated Press  

Google Discover adds AI summaries, threatening publishers with further traffic declines – Tech Crunch 

Amazon launches AI agent-building platform for businesses to help boost productivity – Semafor  

Their Water Taps Ran Dry When Meta Built an AI data center Next Door – New York Times

Amazon delays Alexa’s web debut — and a faceoff with ChatGPT – Washington Post

The Open-Source Software Saving the Internet From AI Bot Scrapers – 404 Media 

Elon Musk’s AI chatbot Grok launches into antisemitic rant amid updates - Washington Post

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

OpenAI to release web browser - Reuters

Who’s to blame when AI spews hate? - Washington Post 

Here’s how Character.AI’s new CEO plans to address fears around kids’ use of chatbots - CNN 

AI chatbots’ content rules often frustrate users, study finds - Washington Post