The heavens declare the glory of God.https://t.co/Zy5ZYkMiAL
— Daniel S. Christian (@dchristian5) May 20, 2025
Excerpt:

The heavens declare the glory of God.https://t.co/Zy5ZYkMiAL
— Daniel S. Christian (@dchristian5) May 20, 2025
Excerpt:

Making AI Work: Leadership, Lab, and Crowd — from oneusefulthing.org by Ethan Mollick
A formula for AI in companies
How do we reconcile the first three points with the final one? The answer is that AI use that boosts individual performance does not naturally translate to improving organizational performance. To get organizational gains requires organizational innovation, rethinking incentives, processes, and even the nature of work. But the muscles for organizational innovation inside companies have atrophied. For decades, companies have outsourced this to consultants or enterprise software vendors who develop generalized approaches that address the issues of many companies at once. That won’t work here, at least for a while. Nobody has special information about how to best use AI at your company, or a playbook for how to integrate it into your organization.
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Galileo Learn™ – A Revolutionary Approach To Corporate Learning — from joshbersin.com
Today we are excited to launch Galileo Learn™, a revolutionary new platform for corporate learning and professional development.
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How do we leverage AI to revolutionize this model, doing away with the dated “publishing” model of training?
The answer is Galileo Learn, a radically new and different approach to corporate training and professional development.
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What Exactly is Galileo Learn™?
Galileo Learn is an AI-native learning platform which is tightly integrated into the Galileo agent. It takes content in any form (PDF, word, audio, video, SCORM courses, and more) and automatically (with your guidance) builds courses, assessments, learning programs, polls, exercises, simulations, and a variety of other instructional formats.
Designing an Ecosystem of Resources to Foster AI Literacy With Duri Long — from aialoe.org
Centering Public Understanding in AI Education
In a recent talk titled “Designing an Ecosystem of Resources to Foster AI Literacy,” Duri Long, Assistant Professor at Northwestern University, highlighted the growing need for accessible, engaging learning experiences that empower the public to make informed decisions about artificial intelligence. Long emphasized that as AI technologies increasingly influence everyday life, fostering public understanding is not just beneficial—it’s essential. Her work seeks to develop a framework for AI literacy across varying audiences, from middle school students to adult learners and journalists.
A Design-Driven, Multi-Context Approach
Drawing from design research, cognitive science, and the learning sciences, Long presented a range of educational tools aimed at demystifying AI. Her team has created hands-on museum exhibits, such as Data Bites, where learners build physical datasets to explore how computers learn. These interactive experiences, along with web-based tools and support resources, are part of a broader initiative to bridge AI knowledge gaps using the 4As framework: Ask, Adapt, Author, and Analyze. Central to her approach is the belief that familiar, tangible interactions and interfaces reduce intimidation and promote deeper engagement with complex AI concepts.
AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice
Minnesota Legal Studies Research Paper No. 25-16; March 02, 2025; from papers.ssrn.com by:
Daniel Schwarcz
University of Minnesota Law School
Sam Manning
Centre for the Governance of AI
Patrick Barry
University of Michigan Law School
David R. Cleveland
University of Minnesota Law School
J.J. Prescott
University of Michigan Law School
Beverly Rich
Ogletree Deakins
Abstract
Generative AI is set to transform the legal profession, but its full impact remains uncertain. While AI models like GPT-4 improve the efficiency with which legal work can be completed, they can at times make up cases and “hallucinate” facts, thereby undermining legal judgment, particularly in complex tasks handled by skilled lawyers. This article examines two emerging AI innovations that may mitigate these lingering issues: Retrieval Augmented Generation (RAG), which grounds AI-powered analysis in legal sources, and AI reasoning models, which structure complex reasoning before generating output. We conducted the first randomized controlled trial assessing these technologies, assigning upper-level law students to complete six legal tasks using a RAG-powered legal AI tool (Vincent AI), an AI reasoning model (OpenAI’s o1-preview), or no AI. We find that both AI tools significantly enhanced legal work quality, a marked contrast with previous research examining older large language models like GPT-4. Moreover, we find that these models maintain the efficiency benefits associated with use of older AI technologies. Our findings show that AI assistance significantly boosts productivity in five out of six tested legal tasks, with Vincent yielding statistically significant gains of approximately 38% to 115% and o1-preview increasing productivity by 34% to 140%, with particularly strong effects in complex tasks like drafting persuasive letters and analyzing complaints. Notably, o1-preview improved the analytical depth of participants’ work product but resulted in some hallucinations, whereas Vincent AI-aided participants produced roughly the same amount of hallucinations as participants who did not use AI at all. These findings suggest that integrating domain-specific RAG capabilities with reasoning models could yield synergistic improvements, shaping the next generation of AI-powered legal tools and the future of lawyering more generally.
Guest post: How technological innovation can boost growth — from legaltechnology.com by Caroline Hill
One key change is the growing adoption of technology within legal service providers, and this is transforming the way firms operate and deliver value to clients.
The legal services sector’s digital transformation is gaining momentum, driven both by client expectations as well as the potential for operational efficiency. With the right support, legal firms can innovate through tech adoption and remain competitive to deliver strong client outcomes and long-term growth.
AI Can Do Many Tasks for Lawyers – But Be Careful — from nysba.org by Rebecca Melnitsky
Artificial intelligence can perform several tasks to aid lawyers and save time. But lawyers must be cautious when using this new technology, lest they break confidentiality or violate ethical standards.
The New York State Bar Association hosted a hybrid program discussing AI’s potential and its pitfalls for the legal profession. More than 300 people watched the livestream.
For that reason, Unger suggests using legal AI tools, like LexisNexis AI, Westlaw Edge, and vLex Fastcase, for legal research instead of general generative AI tools. While legal-specific tools still hallucinate, they hallucinate much less. A legal tool will hallucinate 10% to 20% of the time, while a tool like ChatGPT will hallucinate 50% to 80%.
Fresh Voices on Legal Tech with Nikki Shaver — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Nikki Shaver
Determining which legal technology is best for your law firm can seem like a daunting task, so Legaltech Hub does the hard work for you! In another edition of Fresh Voices, Dennis and Tom talk with Nikki Shaver, CEO at Legaltech Hub, about her in-depth knowledge of technology and AI trends. Nikki shares what effective tech strategies should look like for attorneys and recommends innovative tools for maintaining best practices in modern law firms. Learn more at legaltechnologyhub.com.
AI for in-house legal: 2025 predictions — from deloitte.com
Our expectations for AI engagement and adoption in the legal Market over the coming year.
AI will continue to transform in-house legal departments in 2025
As we enter 2025, over two-thirds of organisations plan to increase their Generative AI (GenAI) investments, providing legal teams with significant executive support and resources to further develop this Capabilities. This presents a substantial opportunity for legal departments, particularly as GenAI technology continues to advance at an impressive pace. We make five predictions for AI engagement and adoption in the legal Market over the coming year and beyond.
Navigating The Fine Line: Redefining Legal Advice In The Age Of Tech With Erin Levine And Quinten Steenhuis — from abovethelaw.com by Olga V. Mack
The definition of ‘practicing law’ is outdated and increasingly irrelevant in a tech-driven world. Should the line between legal advice and legal information even exist?
Practical Takeaways for Legal Leaders
Google I/O 2025: From research to reality — from blog.google
Here’s how we’re making AI more helpful with Gemini.
Google I/O 2025 LIVE — all the details about Android XR smart glasses, AI Mode, Veo 3, Gemini, Google Beam and more — from tomsguide.com by Philip Michaels
Google’s annual conference goes all in on AI
With a running time of 2 hours, Google I/O 2025 leaned heavily into Gemini and new models that make the assistant work in more places than ever before. Despite focusing the majority of the keynote around Gemini, Google saved its most ambitious and anticipated announcement towards the end with its big Android XR smart glasses reveal.
Shockingly, very little was spent around Android 16. Most of its Android 16 related news, like the redesigned Material 3 Expressive interface, was announced during the Android Show live stream last week — which explains why Google I/O 2025 was such an AI heavy showcase.
That’s because Google carved out most of the keynote to dive deeper into Gemini, its new models, and integrations with other Google services. There’s clearly a lot to unpack, so here’s all the biggest Google I/O 2025 announcements.
Our vision for building a universal AI assistant— from blog.google
We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of the world.
Making Gemini a world model is a critical step in developing a new, more general and more useful kind of AI — a universal AI assistant. This is an AI that’s intelligent, understands the context you are in, and that can plan and take action on your behalf, across any device.
By applying LearnLM capabilities, and directly incorporating feedback from experts across the industry, Gemini adheres to the principles of learning science to go beyond just giving you the answer. Instead, Gemini can explain how you get there, helping you untangle even the most complex questions and topics so you can learn more effectively. Our new prompting guide provides sample instructions to see this in action.
Learn in newer, deeper ways with Gemini — from blog.google.com by Ben Gomes
We’re infusing LearnLM directly into Gemini 2.5 — plus more learning news from I/O.
At I/O 2025, we announced that we’re infusing LearnLM directly into Gemini 2.5, which is now the world’s leading model for learning. As detailed in our latest report, Gemini 2.5 Pro outperformed competitors on every category of learning science principles. Educators and pedagogy experts preferred Gemini 2.5 Pro over other offerings across a range of learning scenarios, both for supporting a user’s learning goals and on key principles of good pedagogy.
Gemini gets more personal, proactive and powerful — from blog.google.com by Josh Woodward
It’s your turn to create, learn and explore with an AI assistant that’s starting to understand your world and anticipate your needs.
Here’s what we announced at Google IO:
Fuel your creativity with new generative media models and tools — from by Eli Collins
Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow.
AI in Search: Going beyond information to intelligence
We’re introducing new AI features to make it easier to ask any question in Search.
AI in Search is making it easier to ask Google anything and get a helpful response, with links to the web. That’s why AI Overviews is one of the most successful launches in Search in the past decade. As people use AI Overviews, we see they’re happier with their results, and they search more often. In our biggest markets like the U.S. and India, AI Overviews is driving over 10% increase in usage of Google for the types of queries that show AI Overviews.
This means that once people use AI Overviews, they’re coming to do more of these types of queries, and what’s particularly exciting is how this growth increases over time. And we’re delivering this at the speed people expect of Google Search — AI Overviews delivers the fastest AI responses in the industry.
In this story:
Boys Are Struggling in School. What Can Be Done? — from edweek.org by Rick Hess
Scholar Richard Reeves says it’s time to take a hard look at gender equity
Rick: What kinds of strategies do you think would help?
Richard: In education, we should expand the use of male-friendly teaching methods, such as more hands-on and active learning approaches. We should also consider redshirting boys—starting them in school a year later—to account for developmental differences between boys and girls. We should also introduce more male mentors and role models in schools, particularly in elementary education, where male teachers are scarce. In the workforce, apprenticeship and vocational training programs need to be expanded to create pathways into stable employment for young men who may not pursue a four-year degree. Career counseling should also emphasize diverse pathways to ensure that boys who may not thrive in a traditional academic setting still have opportunities for success. Additionally, fatherhood policies should recognize the importance of male engagement in family life, supporting fathers in their role as caregivers and providers.
While on the topic of K12 education, also see:
How Electives Help All Students Succeed — from edutopia.org by Miriam Plotinsky
Giving students a choice of electives increases engagement and allows them to develop skills outside of core academic subjects.
I recently conducted a student focus group on the topic of school attendance. One of the participants, a high school junior who admitted to being frequently late or absent, explained why she still came to school: “I never want to miss Drama. My teacher is awesome. Her class is the reason I show up every day.” As the rest of the focus group chimed in with similar thoughts, I reflected on the power that elective courses hold for students of all ages.
These courses, from jazz band to yoga, cement students’ sense of self not just in their primary and secondary years, but also in their journey toward adulthood. In these tight economic times, schools or districts often slash electives to save money on staffing, which is highly detrimental to student success. Instead, not only should budget cuts be made elsewhere, but also elective offerings should increase to heighten student choice and well-being.

OpenAI buys former Apple design chief Jony Ive’s startup for $6.5 billion in AI product push — from finance.yahoo.com by Daniel Howley
According to OpenAI, Ive and LoveFrom will assume design and creative responsibilities across OpenAI and io and plan to share their work next year.
Sam Altman & Jony Ive introduce io –from openai.com
As io merges with OpenAI, Jony and LoveFrom will assume deep design and creative responsibilities across OpenAI and io.
Details leak about Jony Ive’s new ‘screen-free’ OpenAI device — from theverge.com by Jess Weatherbed
Altman told OpenAI employees on the call that they have “the chance to do the biggest thing we’ve ever done as a company here.” The Journal reports that Ive referred to the project as “a new design movement,” and harkened back to his Apple career that saw him work closely with Steve Jobs before his passing in 2011. Now teamed up with Altman, Ive said, “the way that we clicked, and the way that we’ve been able to work together, has been profound for me.”
Comments from The Rundown AI:
Why it matters: This duo has been making moves beneath the surface for several years, but this is a loud official announcement of OpenAI’s hardware ambitions. The AI giant now has the secret sauce behind many of Apple’s revolutionary products — and will now look to crack the code on a device that changes how users interact with AI.
I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. — from nytimes.com by Aneesh Raman; this is a gifted article
There are growing signs that artificial intelligence poses a real threat to a substantial number of the jobs that normally serve as the first step for each new generation of young workers. Uncertainty around tariffs and global trade is likely to only accelerate that pressure, just as millions of 2025 graduates enter the work force.
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Breaking first is the bottom rung of the career ladder. In tech, advanced coding tools are creeping into the tasks of writing simple code and debugging — the ways junior developers gain experience. In law firms, junior paralegals and first-year associates who once cut their teeth on document review are handing weeks of work over to A.I. tools to complete in a matter of hours. And across retailers, A.I. chatbots and automated customer service tools are taking on duties once assigned to young associates.
Michiganders in these 25 cities have the most student loan debt, ranking says — from mlive.com by Jackie Smith; this is a gifted article
Millions of former students and college graduates across the U.S. are weighed down with student loan debt, but with exactly how much may depend on where you live.
An analysis from WalletHub was released earlier this month, listing high averages student loan debts of residents in more than 2,500 American cities, including 83 in Michigan.
Student loans are the second highest form of household debt after mortgages, according to WalletHub, totaling more than $1.6 tillion, or averaging $38,000 per borrower.
The above article links to:
Cities with the Most & Least Student Debt (2025) — from wallethub.com by Adam McCann
High balances combined with a payoff timeline that lasts into middle age force many graduates to significantly delay or forgo other financial goals such as saving for retirement or buying a home. Paying back student loans has also become even more difficult due to high inflation putting a strain on Americans’ finances.
While we have a big student-loan crisis as a country, student-loan debts are more unsustainable in some places than others. To determine where borrowers are burdened the most, WalletHub compared the median student-loan balance against the median earnings of adults ages 25 and older with a bachelor’s degree in more than 2,500 U.S. cities.
If you are considering borrowing money for college or you’re in danger of defaulting, we advise using a student loan calculator to determine an affordable payment amount and realistic payoff timeline.
Again, this graphic from 2009 comes to mind:
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Talk to Me: NVIDIA and Partners Boost People Skills and Business Smarts for AI Agents — from blogs.nvidia.com by Adel El Hallak
NVIDIA Enterprise AI Factory validated design and latest NVIDIA AI Blueprints help businesses add intelligent AI teammates that can speak, research and learn to their daily operations.
Call it the ultimate proving ground. Collaborating with teammates in the modern workplace requires fast, fluid thinking. Providing insights quickly, while juggling webcams and office messaging channels, is a startlingly good test, and enterprise AI is about to pass it — just in time to provide assistance to busy knowledge workers.
To support enterprises in boosting productivity with AI teammates, NVIDIA today introduced a new NVIDIA Enterprise AI Factory validated design at COMPUTEX. IT teams deploying and scaling AI agents can use the design to build accelerated infrastructure and easily integrate with platforms and tools from NVIDIA software partners.
NVIDIA also unveiled new NVIDIA AI Blueprints to aid developers building smart AI teammates. Using the new blueprints, developers can enhance employee productivity through adaptive avatars that understand natural communication and have direct access to enterprise data.
NVIDIA CEO Envisions AI Infrastructure Industry Worth ‘Trillions of Dollars’ — from blogs.nvidia.com by Brian Caulfield
In his COMPUTEX keynote, Huang unveiled a sweeping vision for an AI-powered future, showcasing new platforms and partnerships.
“AI is now infrastructure, and this infrastructure, just like the internet, just like electricity, needs factories,” Huang said. “These factories are essentially what we build today.”
“They’re not data centers of the past,” Huang added. “These AI data centers, if you will, are improperly described. They are, in fact, AI factories. You apply energy to it, and it produces something incredibly valuable, and these things are called tokens.”
More’s coming, Huang said, describing the growing power of AI to reason and perceive. That leads us to agentic AI — AI able to understand, think and act. Beyond that is physical AI — AI that understands the world. The phase after that, he said, is general robotics.
Everything Revealed at Nvidia’s 2025 Computex Press Conference in 19 Minutes — from mashable.com
Nvidia is creating Omniverse Digital Twins of factories including humanoid robots
Watch all the biggest announcements from Nvidia’s keynote address at Computex 2025 in Taipei, Taiwan.
Dell unveils new AI servers powered by Nvidia chips to boost enterprise adoption — from reuters.com
May 19 (Reuters) – Dell Technologies (DELL.N), opens new tab on Monday unveiled new servers powered by Nvidia’s (NVDA.O), opens new tab Blackwell Ultra chips, aiming to capitalize on the booming demand for artificial intelligence systems.
The servers, available in both air-cooled and liquid-cooled variations, support up to 192 Nvidia Blackwell Ultra chips but can be customized to include as many as 256 chips.
Nvidia announces humanoid robotics, custom AI infrastructure tech at Computex 2025 — from finance.yahoo.com by Daniel Howley
Nvidia (NVDA) rolled into this year’s Computex Taipei tech expo on Monday with several announcements, ranging from the development of humanoid robots to the opening up of its high-powered NVLink technology, which allows companies to build semi-custom AI servers with Nvidia’s infrastructure.
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During the event on Monday, Nvidia revealed its Nvidia Isaac GR00T-Dreams, which the company says helps developers create enormous amounts of training data they can use to teach robots how to perform different behaviors and adapt to new environments.
Addendums on 5/22/25:
? BREAKING: NVIDIA JUST announced roadmap for physical AI, robotics and national-scale AI factories.
Here’s a breakdown of the top important announcements: ??
1. DeepSeek R1 is now 4x faster, setting the standard for AI in inference and reasoning. pic.twitter.com/FOirPFNrU2
— Shruti (@heyshrutimishra) May 19, 2025
Make sure to animate your creations
video prompt: an ocean wave moving dramatically and a boat moving on the wave
*animated with Firefly Video Model https://t.co/BQmrN7kDiq pic.twitter.com/G5cMqcVuTW
— Kris Kashtanova (@icreatelife) May 16, 2025
‘What I learned when students walked out of my AI class’ — from timeshighereducation.com by Chris Hogg
Chris Hogg found the question of using AI to create art troubled his students deeply. Here’s how the moment led to deeper understanding for both student and educator
Teaching AI can be as thrilling as it is challenging. This became clear one day when three students walked out of my class, visibly upset. They later explained their frustration: after spending years learning their creative skills, they were disheartened to see AI effortlessly outperform them at the blink of an eye.
This moment stuck with me – not because it was unexpected, but because it encapsulates the paradoxical relationship we all seem to have with AI. As both an educator and a creative, I find myself asking: how do we engage with this powerful tool without losing ourselves in the process? This is the story of how I turned moments of resistance into opportunities for deeper understanding.
In the AI era, how do we battle cognitive laziness in students? — from timeshighereducation.com by Sean McMinn
With the latest AI technology now able to handle complex problem-solving processes, will students risk losing their own cognitive engagement? Metacognitive scaffolding could be the answer, writes Sean McMinn
The concern about cognitive laziness seems to be backed by Anthropic’s report that students use AI tools like Claude primarily for creating (39.8 per cent) and analysing (30.2 per cent) tasks, both considered higher-order cognitive functions according to Bloom’s Taxonomy. While these tasks align well with advanced educational objectives, they also pose a risk: students may increasingly delegate critical thinking and complex cognitive processes directly to AI, risking a reduction in their own cognitive engagement and skill development.
Make Instructional Design Fun Again with AI Agents — from drphilippahardman.substack.com by Dr. Philippa Hardman
A special edition practical guide to selecting & building AI agents for instructional design and L&D
Exactly how we do this has been less clear, but — fuelled by the rise of so-called “Agentic AI” — more and more instructional designers ask me: “What exactly can I delegate to AI agents, and how do I start?”
In this week’s post, I share my thoughts on exactly what instructional design tasks can be delegated to AI agents, and provide a step-by-step approach to building and testing your first AI agent.
Here’s a sneak peak….
AI Personality Matters: Why Claude Doesn’t Give Unsolicited Advice (And Why You Should Care) — from mikekentz.substack.com by Mike Kentz
First in a four-part series exploring the subtle yet profound differences between AI systems and their impact on human cognition
After providing Claude with several prompts of context about my creative writing project, I requested feedback on one of my novel chapters. The AI provided thoughtful analysis with pros and cons, as expected. But then I noticed what wasn’t there: the customary offer to rewrite my chapter.
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Without Claude’s prompting, I found myself in an unexpected moment of metacognition. When faced with improvement suggestions but no offer to implement them, I had to consciously ask myself: “Do I actually want AI to rewrite this section?” The answer surprised me – no, I wanted to revise it myself, incorporating the insights while maintaining my voice and process.
The contrast was striking. With ChatGPT, accepting its offer to rewrite felt like a passive, almost innocent act – as if I were just saying “yes” to a helpful assistant. But with Claude, requesting a rewrite required deliberate action. Typing out the request felt like a more conscious surrender of creative agency.
Also re: metacognition and AI, see:
In the AI era, how do we battle cognitive laziness in students? — from timeshighereducation.com by Sean McMinn
With the latest AI technology now able to handle complex problem-solving processes, will students risk losing their own cognitive engagement? Metacognitive scaffolding could be the answer, writes Sean McMinn
The concern about cognitive laziness seems to be backed by Anthropic’s report that students use AI tools like Claude primarily for creating (39.8 per cent) and analysing (30.2 per cent) tasks, both considered higher-order cognitive functions according to Bloom’s Taxonomy. While these tasks align well with advanced educational objectives, they also pose a risk: students may increasingly delegate critical thinking and complex cognitive processes directly to AI, risking a reduction in their own cognitive engagement and skill development.
By prompting students to articulate their cognitive processes, such tools reinforce the internalisation of self-regulated learning strategies essential for navigating AI-augmented environments.
EDUCAUSE Panel Highlights Practical Uses for AI in Higher Ed — from govtech.com by Abby Sourwine
A webinar this week featuring panelists from the education, private and nonprofit sectors attested to how institutions are applying generative artificial intelligence to advising, admissions, research and IT.
Many higher education leaders have expressed hope about the potential of artificial intelligence but uncertainty about where to implement it safely and effectively. According to a webinar Tuesday hosted by EDUCAUSE, “Unlocking AI’s Potential in Higher Education,” their answer may be “almost everywhere.”
Panelists at the event, including Kaskaskia College CIO George Kriss, Canyon GBS founder and CEO Joe Licata and Austin Laird, a senior program officer at the Gates Foundation, said generative AI can help colleges and universities meet increasing demands for personalization, timely communication and human-to-human connections throughout an institution, from advising to research to IT support.
Partly Cloudy with a Chance of Chatbots — from derekbruff.org by Derek Bruff
Here are the predictions, our votes, and some commentary:
‘We Have to Really Rethink the Purpose of Education’
The Ezra Klein Show
Description: I honestly don’t know how I should be educating my kids. A.I. has raised a lot of questions for schools. Teachers have had to adapt to the most ingenious cheating technology ever devised. But for me, the deeper question is: What should schools be teaching at all? A.I. is going to make the future look very different. How do you prepare kids for a world you can’t predict?
And if we can offload more and more tasks to generative A.I., what’s left for the human mind to do?
Rebecca Winthrop is the director of the Center for Universal Education at the Brookings Institution. She is also an author, with Jenny Anderson, of “The Disengaged Teen: Helping Kids Learn Better, Feel Better, and Live Better.” We discuss how A.I. is transforming what it means to work and be educated, and how our use of A.I. could revive — or undermine — American schools.
AI prompting secrets EXPOSED — from theneurondaily.com by Grant Harvey
Here are the three best prompting guides:
Pro tip: Save these guides as PDFs before they disappear behind paywalls. The best AI users keep libraries of these resources for quick reference.
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My personal review of 10+ AI agents and what actually works — from aiwithallie.beehiiv.com by Allie K. Miller
The AI Agents Report Card you wish your boss gave you.
What you’ll learn in this newsletter:
Employees Keep Their AI-Driven Productivity a Secret — from hrotoday.com; via The Neuron
“To address this, organizations should consider building a sustainable AI governance model, prioritizing transparency, and tackling the complex challenge of AI-fueled imposter syndrome through reinvention. Employers who fail to approach innovation with empathy and provide employees with autonomy run the risk of losing valuable staff and negatively impacting employee productivity.”
Key findings from the report include the following:
AI discovers new math algorithms — from by Zach Mink & Rowan Cheung
PLUS: Anthropic reportedly set to launch new Sonnet, Opus models
The Rundown: Google just debuted AlphaEvolve, a coding agent that harnesses Gemini and evolutionary strategies to craft algorithms for scientific and computational challenges — driving efficiency inside Google and solving historic math problems.
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Why it matters: Yesterday, we had OpenAI’s Jakub Pachocki saying AI has shown “significant evidence” of being capable of novel insights, and today Google has taken that a step further. Math plays a role in nearly every aspect of life, and AI’s pattern and algorithmic strengths look ready to uncover a whole new world of scientific discovery.
AI agents are set to explode: Reports forecast 45% annual growth rate — from hrexecutive.com by Jill Barth
At the recent HR Executive and Future Talent Council event at Bentley University near Boston, I talked with Top 100 HR Tech Influencer Joey Price about what he’s hearing from HR leaders. Price is president and CEO of Jumpstart HR and executive analyst at Aspect43, Jumpstart HR’s HR?tech research division, and author of a valuable new book, The Power of HR: How to Make an Organizational Impact as a People?Professional.
This puts him solidly at the center of HR’s most relevant conversations. Price described the curiosity he’s hearing from many HR leaders about AI agents, which have become increasingly prominent in recent months.
From The Neuron’s posting entitled, “20-Somethings Break AI”:
Anthropic’s Claude AI just pulled a classic AI move: it completely fabricated a legal citation, and then—plot twist—the lawyers actually used it in court. Awkward.
The scene: A Northern California courtroom, where Anthropic’s lawyers are battling music publishers. Claude decides to get creative and generates a citation out of thin air—complete with a made-up title and nonexistent authors. And get this: their “manual citation check” didn’t even catch it.
It’s like the AI equivalent of writing your homework, but then your dog actually eats it—except in this case, the dog actually wrote the homework, and it doesn’t make any sense. Nor does this metaphor, which is increasingly getting away from us…
This is far from the first time AI has fumbled in the legal arena, and it’s not exclusive to Claude. Earlier this week, another judge absolutely roasted law firms for submitting “bogus AI-generated research.” We seemingly see these headlines every week; here’s all the ones Perplexity and OpenAI Deep Research could dig up (remember, these too could have hallucinations in them!).
Anyway, talk about confidence, right? Feels like more of a lawyer problem than an AI problem. Consider this your friendly reminder to always check your work. Twice.
Find Your Next Great Job with AI — from wondertools.substack.com by Jeremy Caplan
1. Explore career directions
Recommended tool: Google’s Career Dreamer
What it is: A career visualization tool. See a map of professional fields related to your interests. (See video demo below)
How to use it: Start by typing in a current or previous role, or a type of job that interests you, using up to five words. Then optionally add the name of an organization or industry.
The free service then confirms job activities of interest and shows you a variety of related career paths. Pick one at a time to explore. You can then browse current job openings, refining the search based on location, company size, or other factors you care about.
Example: I’m not job hunting, but I tested out the service by typing in “journalist, writer and educator” as roles and then “journalism and education” as my industries of interest.
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Why it’s useful: I appreciate that Career Dreamer not only suggests a range of relevant fields, but also summarizes what a typical day in those jobs might be like. It also suggests skills you’ll develop and other jobs that might follow on that career path.
Next step: After exploring potential career paths and looking at available jobs, you can jump into Gemini — Google’s equivalent of ChatGPT — for further career planning.
From DSC:
This is the type of functionality that will be woven into the powerful, global, Artificial Intelligence (AI)-based, next-generation, lifelong learning platform that I’ve been tracking. AI will be constantly used to determine which skills are marketable and how to get those skills. The platform will feature personalized recommendations and help a person brainstorm about potential right turns in their career path.
Stop Trying to Make Everyone Go to College — from nytimes.com by Randi Weingarten; this is a gifted article
For years, America’s approach to education has been guided by an overly simplistic formula: 4+4 — the idea that students need four years of high school and four years of college to succeed in life.
Even with this prevailing emphasis on college, around 40 percent of high schoolers do not enroll in college upon graduating, and only 60 percent of students who enroll in college earn a degree or credential within eight years of high school graduation.
While college completion has positive effects — on health, lifetime earnings, civic engagement and even happiness — it’s increasingly clear that college for all should no longer be our North Star. It’s time to scale up successful programs that create multiple pathways for students so high school is a gateway to both college and career.
I propose a different strategy: aligning high school to both college prep and in-demand vocational career pathways. Just as students who plan to go to college can get a head start through Advanced Placement programs, high schools, colleges and employers should work together to provide the relevant coursework to engage students in promising career opportunities.
Thanks for dropping by my Learning Ecosystems blog!
My name is Daniel Christian and this blog seeks to cover the teaching and learning environments within the K-12 (including homeschooling, learning pods/micro-schools), collegiate, and corporate training spaces -- whether those environments be face-to-face, blended, hyflex, or 100% online.
Just as the organizations that we work for have their own learning ecosystems, each of us has our own learning ecosystem. We need to be very intentional about enhancing those learning ecosystems -- as we all need to be lifelong learners in order to remain marketable and employed. It's no longer about running sprints (i.e., getting a 4-year degree or going to a vocational school and then calling it quits), but rather, we are all running marathons now (i.e., we are into lifelong learning these days).
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