The 2023 Global Sentiment Survey — from donaldhtaylor.co.uk by Don Taylor

Excerpt:

This year’s Global Sentiment Survey – the tenth – paints a picture that is both familiar and unusual. In our 2020 survey report, we noted that ‘Data dominates this year’s survey’. It does so again this year, with the near 4,000 respondents showing a strong interest in AI, Skills-based talent management and Learning analytics (in positions #2, #3 and #4), all of which rely on data. The table is topped by Reskilling/upskilling, in the #1 spot for the third year running.
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Donald Taylor's GSS 2023

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Also see Don’s report here >>

 

 

Verified Skills — from the-job.beehiiv.com by Paul Fain
Hunting for a common thread amid the hype around skills.

Excerpt:

The glitzy ASU+GSV gathering this week was titled “Brave New World.” But Tim Knowles wanted to talk about 1906.

That was when the organization Knowles leads, the Carnegie Foundation for the Advancement of Teaching, created the credit-hour standard. The time has arrived, argue Knowles and Amit Sevak, CEO of ETS, to move away from the Carnegie Unit and toward a new currency of education based on meaningful skills and accomplishments, demonstrated through assessment.

Our old way of training Americans for ‘good jobs’ is past its sell-by date — from workshift.opencampusmedia.org by JB Holston
We’re at a pivot point in education and workforce development. Employers in the U.S. and its allies have an opportunity to accelerate their economies by collaborating to scale new pathways to prosperity. They need to seize that opportunity, writes JB Holston, former CEO of the Greater Washington Partnership.

The country is at a pivot point. COVID’s acceleration of remote work and training; an increased dedication to inclusion, equity, and diversity since the murder of George Floyd; the inexorable pace of technological change; and America’s new, well-funded industrial policy have created an opportunity for the most significant re-set in the relationship between employers and our education systems in the last 150 years.

The old path to family-supporting career positions—which depended on large employers recruiting graduates from a small universe of ranked colleges whose education stopped with that degree—is past its sell-by date.

AI in Hiring and Evaluating Workers: What Americans Think — from pewresearch.org by Lee Rainie, Monica Anderson, Colleen McClain, Emily A. Vogels, and Risa Gelles-Watnick
62% believe artificial intelligence will have a major impact on jobholders overall in the next 20 years, but far fewer think it will greatly affect them personally. People are generally wary and uncertain of AI being used in hiring and assessing workers

Excerpt:

A new Pew Research Center survey finds crosscurrents in the public’s opinions as they look at the possible uses of AI in workplaces. Americans are wary and sometimes worried. For instance, they oppose AI use in making final hiring decisions by a 71%-7% margin, and a majority also opposes AI analysis being used in making firing decisions. Pluralities oppose AI use in reviewing job applications and in determining whether a worker should be promoted. Beyond that, majorities do not support the idea of AI systems being used to track workers’ movements while they are at work or keeping track of when office workers are at their desks.

 

The Good and the Bad of Solo Practice, Per Clio’s Latest Legal Trends Report for Solos — from lawnext.com by Bob Ambrogi

Excerpt:

As a solo myself, I can tell you that there is much to be said for practicing on your own – freedom and independence not least among them. In fact, during 2022’s “Great Resignation,” a third of lawyers who quit their jobs did so to start their own solo practices, according to Legal Trends for Solo Law Firms, a report published today by law practice management company Clio.

But there are also disadvantages to practicing alone and challenges unique to solo lawyers, as this latest report documents.

 

A New Era for Education — from linkedin.com by Amit Sevak, CEO of ETS and Timothy Knowles, President of the Carnegie Foundation for the Advancement of Teaching

Excerpt (emphasis DSC):

It’s not every day you get to announce a revolution in your sector. But today, we’re doing exactly that. Together, we are setting out to overturn 117 years of educational tradition.

The fundamental assumption [of the Carnegie Unit] is that time spent in a classroom equals learning. This formula has the virtue of simplicity. Unfortunately, a century of research tells us that it’s woefully inadequate.


From DSC:
It’s more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

It's more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.

If that turns out to be the case, the ramifications will be enormous and we will have the opportunity to radically reinvent/rethink/redesign what our lifelong learning ecosystems will look like and provide.

So I appreciate what Amit and Timothy are saying here and I appreciate their relaying what the new paradigm might look like. It goes with the idea of using design thinking to rethink how we build/reinvent our learning ecosystems. They assert:

It’s time to change the paradigm. That’s why ETS and the Carnegie Foundation have come together to design a new future of assessment.

    • Whereas the Carnegie Unit measures seat time, the new paradigm will measure skills—with a focus on the ones we know are most important for success in career and in life.
    • Whereas the Carnegie Unit never leaves the classroom, the new paradigm will capture learning wherever it takes place—whether that is in after-school activities, during a work-experience placement, in an internship, on an apprenticeship, and so on.
    • Whereas the Carnegie Unit offers only one data point—pass or fail—the new paradigm will generate insights throughout the learning process, the better to guide students, families, educators, and policymakers.

I could see this type of information being funneled into peoples’ cloud-based learner profiles — which we as individuals will own and determine who else can access them. I diagrammed this back in January of 2017 using blockchain as the underlying technology. That may or may not turn out to be the case. But the concept will still hold I think — regardless of the underlying technology(ies).

Perhaps blockchain will be the underlying technology to provide us with cloud-based learner profiles

For example, we are seeing a lot more articles regarding things like Comprehensive Learner Records (CLR) or Learning and Employment Records (LER; example here), and similar items.

LER — The Learning and Employment Record for a Skills-Based Economy


Speaking of reinventing our learning ecosystems, also see:

 
 

From DSC:
I don’t know anything about Jack Harlow. I just liked the idea of the NBA using AI to market the playoffs! I find this piece to be clever and creative. I’m sure we’ll be seeing a lot more of this kind of thing in the future. 

 

ChatGPT is the hottest new job skill that can help you get hired, according to HR experts — from cnbc.com by Morgan Smith

Excerpt:

The hottest new job qualification could be how well you work with a chatbot.

ChatGPT is the latest in-demand job skill companies are hiring for, according to recent research from the career site Resume Builder.

Since its public unveiling in late 2022, ChatGPT has been quickly adopted by companies like Microsoft and Slack which are incorporating the chatbot into their products or using it to work more efficiently.

“Hiring managers care less about whether or not you use ChatGPT, what’s more important is what you can accomplish with it,” says Juan Pablo Gonzalez, a senior client partner at the global consulting firm Korn Ferry. 

 

Who Will Be the Academic Prompt Engineering Experts? — from wallyboston.com by Wally Boston

Excerpts:

As I mentioned in a post a month ago, prompt engineering is the term of art for prompting a generative AI tool like ChatGPT-4 to produce an answer to a question, analysis of a problem, or an essay about a particular topic.

It’s ironic that the “experts” providing prompt engineering courses are not academics. I happen to believe that there are academics mastering prompt engineering as I write this.

Last week, I wrote about generative AI tools that could be used to decrease the instructional design time required to build a college course. I also wrote an article about Villanova University professor Noah Barsky’s opinion piece suggesting that all MBA curriculums should be rewritten to teach their students how to utilize AI tools in their professions. Business schools with outdated curriculums will not prepare their graduates for businesses expecting them to be able to master state of the art AI tools.


Also relevant/see:

From DSC:
Read that again…

“In June, when students are finishing up their classes, they may be punished by their instructors for using AI as a writing tool. But in July, when they’re out on the job market, they can be punished by their employers or potential employers for not knowing how to use AI as a writing tool.”

 


Also relevant/see:

11 Tips to Take Your ChatGPT Prompts to the Next Level — from wired.com by David Nield
Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.

Excerpts:

You don’t have to do all the typing yourself when it comes to ChatGPT. Copy and paste is your friend, and there’s no problem with pasting in text from other sources.

Another way to improve the responses you get from ChatGPT is to give it some data to work with before you ask your question.

Your answers can be seriously improved if you give ChatGPT some ingredients to work with before asking for a response.

 
 

You no longer need a college degree to work at these 7 companies — from businessinsider.com by Ethan Dodd

Key points:

  • College-degree requirements have locked out millions of Americans from good-paying jobs.
  • Persistent labor shortages are causing more and more companies to drop degree requirements.
  • These seven companies in tech, finance, and aviation are leading the charge.

 

 

Higher Learning Commission's 2023 Trends

 


Also relevant/see:

We have moved from Human Teachers and Human Learners, as a diad to AI Teachers and AI Learners as a tetrad.


 

The Ultimate Compilation of 101 GPT-4 L&D Prompts — from innovationlounge.notion.site

Examples:

  1. Design a personalized learning plan for a new employee joining a software development team, including onboarding, skill assessment, and ongoing development.
  2. Describe a strategy for implementing a mentorship program within an organization to improve employee development and retention.
  3. Suggest a framework for evaluating the effectiveness of a company’s existing learning and development programs.
  4. Propose a gamification strategy for engaging employees in a company-wide training program on diversity and inclusion.
  5. Identify potential barriers to effective remote learning and provide recommendations for overcoming them in a virtual training environment.
  6. Develop a plan for a “lunch-and-learn” series to encourage cross-functional collaboration and skill-sharing among employees.
  7. Recommend a variety of cost-effective resources (books, online courses, webinars, etc.) for training employees in project management skills.
  8. Design a three-month training program for a sales team to improve their negotiation and closing skills, including specific activities and milestones.
  9. Outline a strategy for integrating microlearning techniques into an organization’s existing training approach to boost knowledge retention and engagement.
  10. Suggest an approach for identifying and addressing skills gaps within a team or department, including assessment tools and targeted training resources.
 

Nvidia will bring AI to every industry, says CEO Jensen Huang in GTC keynote: ‘We are at the iPhone moment of AI’ — from venturebeat.com by Sharon Goldman

Excerpt:

As Nvidia’s annual GTC conference gets underway, founder and CEO Jensen Huang, in his characteristic leather jacket and standing in front of a vertical green wall at Nvidia headquarters in Santa Clara, California, delivered a highly-anticipated keynote that focused almost entirely on AI. His presentation announced partnerships with Google, Microsoft and Oracle, among others, to bring new AI, simulation and collaboration capabilities to “every industry.”

Introducing Mozilla.ai: Investing in trustworthy AI — from blog.mozilla.org by Mark Surman
We’re committing $30M to build Mozilla.ai: A startup — and a community — building a trustworthy, independent, and open-source AI ecosystem.

Excerpt (emphasis DSC):

We’re only three months into 2023, and it’s already clear what one of the biggest stories of the year is: AI. AI has seized the public’s attention like Netscape did in 1994, and the iPhone did in 2007.

New tools like Stable Diffusion and the just-released GPT-4 are reshaping not just how we think about the internet, but also communication and creativity and society at large. Meanwhile, relatively older AI tools like the recommendation engines that power YouTube, TikTok and other social apps are growing even more powerful — and continuing to influence billions of lives.

This new wave of AI has generated excitement, but also significant apprehension. We aren’t just wondering What’s possible? and How can people benefit? We’re also wondering What could go wrong? and How can we address it? Two decades of social media, smartphones and their consequences have made us leery.    

ChatGPT plugins — from openai.com

Excerpt:

Users have been asking for plugins since we launched ChatGPT (and many developers are experimenting with similar ideas) because they unlock a vast range of possible use cases. We’re starting with a small set of users and are planning to gradually roll out larger-scale access as we learn more (for plugin developers, ChatGPT users, and after an alpha period, API users who would like to integrate plugins into their products). We’re excited to build a community shaping the future of the human–AI interaction paradigm.



Bots like ChatGPT aren’t sentient. Why do we insist on making them seem like they are? — from cbc.ca by Matt Meuse
‘There’s no secret homunculus inside the system that’s understanding what you’re talking about’

Excerpt:

LLMs like ChatGPT are trained on massive troves of text, which they use to assemble responses to questions by analyzing and predicting what words could most plausibly come next based on the context of other words. One way to think of it, as Marcus has memorably described it, is “auto-complete on steroids.”

Marcus says it’s important to understand that even though the results sound human, these systems don’t “understand” the words or the concepts behind them in any meaningful way. But because the results are so convincing, that can be easy to forget.

“We’re doing a kind of anthropomorphization … where we’re attributing some kind of animacy and life and intelligence there that isn’t really,” he said.


10 gifts we unboxed at Canva Create — from canva.com
Earlier this week we dropped 10 unopened gifts onto the Canva homepage of 125 million people across the globe. Today, we unwrapped them on the stage at Canva Create.


Google Bard Plagiarized Our Article, Then Apologized When Caught — from tomshardware.com by Avram Piltch
The chatbot implied that it had conducted its own CPU tests.

 

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at NVIDIA's GTC -- keynote was held on March 21 2023

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

 


Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

 
© 2025 | Daniel Christian