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. 

 

AI and art: how recent court cases are stretching copyright principles — from theartnewspaper.com by Hetty Gleave and Eddie Powell
Two specialists from a leading London law firm analyse the issues raised in recent lawsuits relating to the use of artwork images by tech companies in order to “train” their artificial intelligence tools

Excerpt:

The tension between the opportunities presented by new technology and the need for artists to be able to control the use of their own works and derive revenue from them is all too familiar. Inevitably, cases and/or legislation will draw an artificial line between what is fair and what is not.

Getty Images is suing Stability in both the USA and the UK for the alleged use of millions of pictures from Getty’s library to train Stable Diffusion. In the USA, Getty is reportedly claiming damages of $2 trillion!

 

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.

 
 
 

AI Aids In Connecting Learning and Performance Ecosystems — from learningguild.com by Markus Bernhardt and Teresa Rose

Excerpt:

The ways in which employees access information, surface answers to questions, and find the right subject matter experts is shifting and drastically improving. With this, so is access to and potential efficiency of formal learning and training.

The question is, how do these elements fuse together in the reimagined ecosystem? What will performance support, formal learning and training, or upskilling and reskilling look like when we combine the best of digital and asynchronous tools, as well as synchronous and in-person endeavors.

Power Performance with Microlearning’s Purpose and Potential — from learningguild.com by Robyn Defelice

Excerpt:

Because we are dealing in performance-based microlearning, each campaign and product will have its own purpose and potential (P&P).

The P&P are not derived from the organization’s definition but by the goals of the campaign itself.

Performance Pathways (Purpose) and Use Cases (Potential) provide opportunity to think through the alignment to a campaign goal while preparing for the design of the microlearning products.

Augmented Reality: Your Next Step Into Immersive Learning — from learningguild.com by Bill Brandon

Excerpt:

I asked Debbie Richard for her thoughts on the uses of AR and immersive learning. Debbie is the founder and president of Creative Interactive Ideas, where she helps talent development professionals thrive and flourish in their careers.

Debbie offered this reply:

“Developing an augmented reality experience is a great way for instructional designers to get started with immersive learning. There are a number of AR development applications that require little to no programming skills. All the learner will need to access the experience is a smart device.

Some great examples of using augmented reality in immersive learning are:

    • Performance support…
    • Language support…
    • Visualizations…
 

GPT-4 Is a Reasoning Engine — from every.to by Dan Shipper
Reason is only as good as the information we give it

Excerpt:

Even though our AI models were trained by reading the whole internet, that training mostly enhances their reasoning abilities not how much they know. And so, the performance of today’s AI models is constrained by their lack of knowledge.

I saw Sam Altman speak at a small Sequoia event in SF last week, and he emphasized this exact point: GPT models are actually reasoning engines not knowledge databases.

This is crucial to understand because it predicts that advances in the usefulness of AI will come from advances in its ability to access the right knowledge at the right time—not just from advances in its reasoning powers.

Why? It’s expensive and time consuming to find information that’s relevant to the things you think about. Even if you give AI access to a search engine, so it can make queries to find the right information—it’ll cost you money and time.

If, instead, you’ve spent a lifetime gathering and curating  information that’s important to you, you can customize your AI experience so it’s more useful to you right off the bat.

 

Why some college professors are adopting ChatGPT AI as quickly as students — from cnbc.com by Carolyn Chun

Key Points:

  • A recent analysis by researchers at NYU, Princeton and the Wharton School finds that many of the jobs that will be most “exposed” to generative AI such as ChatGPT are in the college teaching profession.
  • One of the first narratives to emerge from the sudden explosion in usage of ChatGPT is the risk of students cheating on writing assignments.
  • But use by college teachers is growing quickly too, and adoption by educators may be critical to making the case that AI will augment the jobs humans are doing rather than replace them.

Also relevant/see:


 

5 AI-Driven Healthcare Trends and Solutions in 2023 — from hitconsultant.net by Dmitrii Evstiukhin

Excerpt:

Healthcare enterprises are quickly embracing artificial intelligence solutions to mitigate loss, streamline operations, improve efficiency, and enhance customer service.

Learn about the latest trends and solutions in healthcare AI, obstacles to AI adoption, and how artificial intelligence is rapidly transforming standards of patient care in 2023.

 


Also relevant/see:


Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark

Learning Designers need to upskill


From Ethan Mollick on LinkedIn:

Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”

Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)


I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning

I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.

 

Canva’s New AI Wonder Tools — from wondertools.substack.com  by Jeremy Caplan
A magic eraser, a branding kit, AI presentations, and more new features

Excerpt:

Canva launched a bunch of new features at a live event viewed by 1.5 million people globally. The Australian company is no longer an upstart. 125 million people use it monthly, including 13 million paid subscribers yielding $1.4 billion in revenue. Canva’s increasingly competing with Adobe to help people create eye-catching visuals. Here are its most useful new tricks.

 

How to use AI to do practical stuff: A new guide — from oneusefulthing.substack.com by Ethan Mollick
People often ask me how to use AI. Here’s an overview with lots of links.

Excerpts:

We live in an era of practical AI, but many people haven’t yet experienced it, or, if they have, they might have wondered what the big deal is. Thus, this guide. It is a modified version of one I put out for my students earlier in the year, but a lot has changed. It is an overview of ways to get AI to do practical things.

I want to try to show you some of why AI is powerful, in ways both exciting and anxiety-producing.

The Six Large Language Models


Also see Ethan’s posting:

Power and Weirdness: How to Use Bing AI
Bing AI is a huge leap over ChatGPT, but you have to learn its quirks


 

Teaching: What You Can Learn From Students About ChatGPT — from chronicle.com by Beth McMurtrie

Excerpts (emphasis DSC):

Like a lot of you, I have been wondering how students are reacting to the rapid launch of generative AI tools. And I wanted to point you to creative ways in which professors and teaching experts have helped involve them in research and policymaking.

At Kalamazoo College, Autumn Hostetter, a psychology professor, and six of her students surveyed faculty members and students to determine whether they could detect an AI-written essay, and what they thought of the ethics of using various AI tools in writing. You can read their research paper here.

Next, participants were asked about a range of scenarios, such as using Grammarly, using AI to make an outline for a paper, using AI to write a section of a paper, looking up a concept on Google and copying it directly into a paper, and using AI to write an entire paper. As expected, commonly used tools like Grammarly were considered the most ethical, while writing a paper entirely with AI was considered the least. But researchers found variation in how people approached the in-between scenarios. Perhaps most interesting: Students and faculty members shared very similar views with each scenario.

 


Also relevant/see:

This Was Written By a Human: A Real Educator’s Thoughts on Teaching in the Age of ChatGPT — from er.educause.edu educause.org by Jered Borup
The well-founded concerns surrounding ChatGPT shouldn’t distract us from considering how it might be useful.


 

 

From DSC:
After seeing this…

…I wondered:

  • Could GPT-4 create the “Choir Practice” app mentioned below?
    (Choir Practice was an idea for an app for people who want to rehearse their parts at home)
  • Could GPT-4 be used to extract audio/parts from a musical score and post the parts separately for people to download/practice their individual parts?

This line of thought reminded me of this posting that I did back on 10/27/2010 entitled, “For those institutions (or individuals) who might want to make a few million.”

Choir Practice -- an app for people who want to rehearse at home

And I want to say that when I went back to look at this posting, I was a bit ashamed of myself. I’d like to apologize for the times when I’ve been too excited about something and exaggerated/hyped an idea up on this Learning Ecosystems blog. For example, I used the words millions of dollars in the title…and that probably wouldn’t be the case these days. (But with inflation being what it is, heh…who knows!? Maybe I shouldn’t be too hard on myself.) I just had choirs in mind when I posted the idea…and there aren’t as many choirs around these days.  🙂

 
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