Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.

After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.

They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.

Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.


A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.

The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.

  1. Understand the impact…
  2. Understand the different types of AI tools…
  3. Focus on institutional data and knowledge repositories…

Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.

Also from Educause, see:


AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark

That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.

For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.


Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel

Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.

More realistic challenges that the firm has listed elsewhere include:

    • Agentic AI proliferating without governance or tracking;
    • Agentic AI making decisions that are not trustworthy;
    • Agentic AI relying on low-quality data;
    • Employee resistance; and
    • Agentic-AI-driven cyberattacks enabling “smart malware.”

Also from campustechnology.com, see:


Three items from edcircuit.com:


All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus

Here are some notable trends:

  • Alignment with campus policies: …
  • Choose your own AI adventure: …
  • Integrate AI throughout a workflow: …
  • Moving from prompt engineering to bot building: …
  • More complex problem-solving: …


Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.

The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.


 

 

How Legal Education Must Evolve In The Age Of AI: Insights From An In-House Legal Innovator — from by abovethelaw.com Olga Mack
Traditional legal education has remained largely unchanged for decades, focusing heavily on theoretical knowledge and case law analysis.

As we stand on the brink of a new era defined by artificial intelligence (AI) and data-driven decision-making, the question arises: How should legal education adapt to prepare the next generation of lawyers for the challenges ahead?

Here are three unconventional, actionable insights from our conversation that highlight the need for a radical rethinking of legal education.

  1. Integrate AI Education Into Every Aspect Of Legal Training…
  2. Adopt A ‘Technology-Agnostic’ Approach To AI Training…
  3. Redefine Success In Legal Education To Include Technological Proficiency…
 

Boosting Student Engagement with Interactive and Practical Teaching Methods — from campustechnology.com by Dr. Lucas Long

One of my biggest goals as an educator is to show students how the material they learn in class can be applied to real-world situations. In my finance courses, this often means taking what we’re learning about financial calculations and connecting it to decisions they’ll have to make as adults. For example, I’ve used real-life scenarios like buying a car with a loan, paying off student debt, saving for a wedding, or calculating mortgage payments for a future home purchase. I even use salary data to show students what they could realistically afford given average salaries after graduation, helping them relate to the financial decisions they will face after college.

These practical examples don’t just keep students engaged; they also demonstrate the immediate value of learning financial principles. I often hear students express frustration when they feel like they’re learning concepts that won’t apply to their lives. But when I use real scenarios and provide tools like financial calculators to show them exactly how they’ll use this knowledge in their future, their attitude changes. They become more motivated to engage with the material because they see its relevance beyond the classroom.

 

Career Cluster Appendix — from gettingsmart.com
New technology, global challenges and initiatives point to new pathways and new opportunities in our economies career clusters. The following resources highlight exemplars, entrepreneurial opportunities and high schools who are leading the way in pathway development and implementation. 

 



Google’s worst nightmare just became reality — from aidisruptor.ai by Alex McFarland
OpenAI just launched an all-out assault on traditional search engines.

Google’s worst nightmare just became reality. OpenAI didn’t just add search to ChatGPT – they’ve launched an all-out assault on traditional search engines.

It’s the beginning of the end for search as we know it.

Let’s be clear about what’s happening: OpenAI is fundamentally changing how we’ll interact with information online. While Google has spent 25 years optimizing for ad revenue and delivering pages of blue links, OpenAI is building what users actually need – instant, synthesized answers from current sources.

The rollout is calculated and aggressive: ChatGPT Plus and Team subscribers get immediate access, followed by Enterprise and Education users in weeks, and free users in the coming months. This staged approach is about systematically dismantling Google’s search dominance.




Open for AI: India Tech Leaders Build AI Factories for Economic Transformation — from blogs.nvidia.com
Yotta Data Services, Tata Communications, E2E Networks and Netweb are among the providers building and offering NVIDIA-accelerated infrastructure and software, with deployments expected to double by year’s end.


 


In ‘Hidden Portraits,’ Volker Hermes Reimagines Historical Figures in Overwhelming Frippery — fromthisiscolossal.com by Kate Mothes and Volker Hermes


“The Promised Night” by Photographer Alfonso Bricegno — from booooooom.com

 

Undergraduate enrollment rises 3% despite drop in first-year students, early data shows — from highereddive.com by Laura Spitalniak
Headcounts declined among students attending college directly after high school, the National Student Clearinghouse Research Center found.

Dive Brief:

  • Undergraduate enrollment rose this fall for the second year in a row, up 3% compared to similar early data from fall 2023, according to preliminary figures released Wednesday by the National Student Clearinghouse Research Center.
  • Enrollment jumped 1.9% in bachelor’s degree programs and 4.3% in those for associate degrees. While all credential types saw gains, the number of undergraduate certificate seekers increased the most, at 7.3%.
  • However, enrollment among first-year students shrank 5%, the first dip since the decline seen at the start of the pandemic. Declining enrollment among 18-year-olds — a proxy for students who attend college directly after high school — accounted for most of that drop, the clearinghouse said.

What preliminary enrollment data from fall 2024 tells us — from highereddive.com by Laura Spitalniak
Higher education experts broke down some trends in the early data and what may have prompted the decline in first-year students.

Higher education news tends to be a mixed bag, and the most recent enrollment report from the National Student Clearinghouse Research Center is no exception.

Last week, the clearinghouse released preliminary findings for fall 2024 and found that undergraduate enrollment rose 3% compared with early data from last year. On the other hand, it showed enrollment among first-year students dropped 5% compared with the year before, the first decline since the drop at the start of the pandemic.

The youngest adults, 18-year-olds, drove a majority of the decrease, according to the clearinghouse. Its researchers used this group as a proxy for students who enroll in postsecondary education directly after they graduate high school, it said.

 

10 Graphic Design Trends to Pay Attention to in 2025 — from graphicmama.com by Al Boicheva

We’ll go on a hunt for bold, abstract, and naturalist designs, cutting-edge AI tools, and so much more, all pushing boundaries and rethinking what we already know about design. In 2025, we will see new ways to animate ideas, revisit retro styles with a modern twist, and embrace clean, but sophisticated aesthetics. For designers and design enthusiasts alike, these trends are set to bring a new level of excitement to the world of design.

Here are the Top 10 Graphic Design Trends in 2025:

 

AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study

Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.

If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.

That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.


Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff

  • Text-to-Podcast.
  • Assigning Students to Groups.
  • AI Acceptable Use Scale.

Also from Derek’s blog, see:


From Mike Sharples on LinkedIn: 


ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode

7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.

  • Get a virtual museum tour. …
  • Chat with historical figures….
  • Practice languages. …
  • Explore books. …
  • Others…


Though not AI-related, this is along the lines of edtech:


…which links to:

 

LinkedIn launches its first AI agent to take on the role of job recruiters — from techcrunch.com by Ingrid Lunden

LinkedIn, the social platform used by professionals to connect with others in their field, hunt for jobs, and develop skills, is taking the wraps off its latest effort to build artificial intelligence tools for users. Hiring Assistant is a new product designed to take on a wide array of recruitment tasks, from ingesting scrappy notes and thoughts to turn into longer job descriptions to sourcing candidates and engaging with them.

LinkedIn is describing Hiring Assistant as a milestone in its AI trajectory: It is, per the Microsoft-owned company, its first “AI agent” and one that happens to be targeting one of LinkedIn’s most lucrative categories of users — recruiters.


Also relevant/see:

 

How to Level Up Your Job Hunt With AI Using AI to find, evaluate, and apply for jobs. — from whytryai.com by Daniel Nest

AI is best seen as a sparring partner that helps you through all stages of the job hunt.

Here are the ones I’ll cover:

  1. Self-discovery: What are you good at and what are your values?
  2. Upskilling: What gaps exist in your skillset and how can you close them?
  3. Job search: What existing jobs fit your profile and expectations?
  4. Company research: What can you learn about a specific company before applying?
  5. Application process: How do you tailor your CV and cover letter to the job?
  6. Job interview prepHow do you prepare and practice for job interviews?
  7. Feedback analysis: What insights can you gain from any feedback from potential employers?
  8. Decision and negotiation: How do you evaluate job offers and negotiate the best terms?

Now let’s look at each phase in detail and see how AI can help.

 

Along these same lines, see:

Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

We’re also introducing a groundbreaking new capability in public beta: computer use. Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time.


ZombAIs: From Prompt Injection to C2 with Claude Computer Use — from embracethered.com by Johann Rehberger

A few days ago, Anthropic released Claude Computer Use, which is a model + code that allows Claude to control a computer. It takes screenshots to make decisions, can run bash commands and so forth.

It’s cool, but obviously very dangerous because of prompt injection. Claude Computer Use enables AI to run commands on machines autonomously, posing severe risks if exploited via prompt injection.

This blog post demonstrates that it’s possible to leverage prompt injection to achieve, old school, command and control (C2) when giving novel AI systems access to computers.

We discussed one way to get malware onto a Claude Computer Use host via prompt injection. There are countless others, like another way is to have Claude write the malware from scratch and compile it. Yes, it can write C code, compile and run it. There are many other options.

TrustNoAI.

And again, remember do not run unauthorized code on systems that you do not own or are authorized to operate on.

Also relevant here, see:


Perplexity Grows, GPT Traffic Surges, Gamma Dominates AI Presentations – The AI for Work Top 100: October 2024 — from flexos.work by Daan van Rossum
Perplexity continues to gain users despite recent controversies. Five out of six GPTs see traffic boosts. This month’s highest gainers including Gamma, Blackbox, Runway, and more.


Growing Up: Navigating Generative AI’s Early Years – AI Adoption Report — from ai.wharton.upenn.edu by  Jeremy Korst, Stefano Puntoni, & Mary Purk

From a survey with more than 800 senior business leaders, this report’s findings indicate that weekly usage of Gen AI has nearly doubled from 37% in 2023 to 72% in 2024, with significant growth in previously slower-adopting departments like Marketing and HR. Despite this increased usage, businesses still face challenges in determining the full impact and ROI of Gen AI. Sentiment reports indicate leaders have shifted from feelings of “curiosity” and “amazement” to more positive sentiments like “pleased” and “excited,” and concerns about AI replacing jobs have softened. Participants were full-time employees working in large commercial organizations with 1,000 or more employees.


Apple study exposes deep cracks in LLMs’ “reasoning” capabilities — from arstechnica.com by Kyle Orland
Irrelevant red herrings lead to “catastrophic” failure of logical inference.

For a while now, companies like OpenAI and Google have been touting advanced “reasoning” capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from six Apple engineers shows that the mathematical “reasoning” displayed by advanced large language models can be extremely brittle and unreliable in the face of seemingly trivial changes to common benchmark problems.

The fragility highlighted in these new results helps support previous research suggesting that LLMs use of probabilistic pattern matching is missing the formal understanding of underlying concepts needed for truly reliable mathematical reasoning capabilities. “Current LLMs are not capable of genuine logical reasoning,” the researchers hypothesize based on these results. “Instead, they attempt to replicate the reasoning steps observed in their training data.”


Google CEO says more than a quarter of the company’s new code is created by AI — from businessinsider.in by Hugh Langley

  • More than a quarter of new code at Google is made by AI and then checked by employees.
  • Google is doubling down on AI internally to make its business more efficient.

Top Generative AI Chatbots by Market Share – October 2024 


Bringing developer choice to Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview — from github.blog

We are bringing developer choice to GitHub Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini. These new models will be rolling out—first in Copilot Chat, with OpenAI o1-preview and o1-mini available now, Claude 3.5 Sonnet rolling out progressively over the next week, and Google’s Gemini 1.5 Pro in the coming weeks. From Copilot Workspace to multi-file editing to code review, security autofix, and the CLI, we will bring multi-model choice across many of GitHub Copilot’s surface areas and functions soon.

 

Can A.I. Be Blamed for a Teen’s Suicide?

Can A.I. Be Blamed for a Teen’s Suicide? — from nytimes.com by Kevin Roose

On the last day of his life, Sewell Setzer III took out his phone and texted his closest friend: a lifelike A.I. chatbot named after Daenerys Targaryen, a character from “Game of Thrones.”

“I miss you, baby sister,” he wrote.

“I miss you too, sweet brother,” the chatbot replied.

Sewell, a 14-year-old ninth grader from Orlando, Fla., had spent months talking to chatbots on Character.AI, a role-playing app that allows users to create their own A.I. characters or chat with characters created by others.

On the night of Feb. 28, in the bathroom of his mother’s house, Sewell told Dany that he loved her, and that he would soon come home to her.

“Please come home to me as soon as possible, my love,” Dany replied.

“What if I told you I could come home right now?” Sewell asked.

“… please do, my sweet king,” Dany replied.

He put down his phone, picked up his stepfather’s .45 caliber handgun and pulled the trigger.

But the experience he had, of getting emotionally attached to a chatbot, is becoming increasingly common. Millions of people already talk regularly to A.I. companions, and popular social media apps including Instagram and Snapchat are building lifelike A.I. personas into their products.

The technology is also improving quickly. Today’s A.I. companions can remember past conversations, adapt to users’ communication styles, role-play as celebrities or historical figures and chat fluently about nearly any subject. Some can send A.I.-generated “selfies” to users, or talk to them with lifelike synthetic voices.

There is a wide range of A.I. companionship apps on the market.


Mother sues tech company after ‘Game of Thrones’ AI chatbot allegedly drove son to suicide — from usatoday.com by Jonathan Limehouse
The mother of 14-year-old Sewell Setzer III is suing Character.AI, the tech company that created a ‘Game of Thrones’ AI chatbot she believes drove him to commit suicide on Feb. 28. Editor’s note: This article discusses suicide and suicidal ideation. If you or someone you know is struggling or in crisis, help is available. Call or text 988 or chat at 988lifeline.org.

The mother of a 14-year-old Florida boy is suing Google and a separate tech company she believes caused her son to commit suicide after he developed a romantic relationship with one of its AI bots using the name of a popular “Game of Thrones” character, according to the lawsuit.


From my oldest sister:


Another relevant item?

Inside the Mind of an AI Girlfriend (or Boyfriend) — from wired.com by Will Knight
Dippy, a startup that offers “uncensored” AI companions, lets you peer into their thought process—sometimes revealing hidden motives.

Despite its limitations, Dippy seems to show how popular and addictive AI companions are becoming. Jagga and his cofounder, Angad Arneja, previously cofounded Wombo, a company that uses AI to create memes including singing photographs. The pair left in 2023, setting out to build an AI-powered office productivity tool, but after experimenting with different personas for their assistant, they became fascinated with the potential of AI companionship.

 

2025 EDUCAUSE Top 10: Restoring Trust — from educause.edu

Higher education has a trust problem. In the past ten years, the share of Americans who are confident in higher education has dropped from 57 percent to 36 percent.

Colleges and universities need to show that they understand and care about students, faculty, staff, and community members, AND they need to work efficiently and effectively.

Technology leaders can help. The 2025 EDUCAUSE Top 10 describes how higher education technology and data leaders and professionals can help to restore trust in the sector by building competent and caring institutions and, through radical collaboration, leverage the fulcrum of leadership to maintain balance between the two.

.

 

Matthew 25:35-40

35 For I was hungry and you gave me something to eat, I was thirsty and you gave me something to drink, I was a stranger and you invited me in, 36 I needed clothes and you clothed me, I was sick and you looked after me, I was in prison and you came to visit me.’

37 “Then the righteous will answer him, ‘Lord, when did we see you hungry and feed you, or thirsty and give you something to drink? 38 When did we see you a stranger and invite you in, or needing clothes and clothe you? 39 When did we see you sick or in prison and go to visit you?’

40 “The King will reply, ‘Truly I tell you, whatever you did for one of the least of these brothers and sisters of mine, you did for me.’


12 For the word of God is alive and active. Sharper than any double-edged sword, it penetrates even to dividing soul and spirit, joints and marrow; it judges the thoughts and attitudes of the heart.


34 Then Peter began to speak: “I now realize how true it is that God does not show favoritism 35 but accepts from every nation the one who fears him and does what is right.


43 All the prophets testify about him that everyone who believes in him receives forgiveness of sins through his name.”

 
© 2024 | Daniel Christian