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. 

 

How to Create Compelling Writing Assignments in a ChatGPT Age — from chronicle.com by James M. Lang
A recent book offers a road map to new kinds of assignments to inspire your students to write.

Excerpt:

A few days after I returned from the conference, I received a book in the mail that affirmed my newfound sense that 2023 has the potential to usher in an age of creative thinking about teaching and writing: Jessica Singer Early’s Next Generation Genres: Teaching Writing for Civic and Academic Engagement. Although her book doesn’t directly address ChatGPT, it offers exactly the kind of innovative ideas we need as we wrestle — or dance — with the implications of artificial intelligence for college teaching.

Clearly Jessica Singer Early has joined the leaning-into camp, seeing artificial intelligence as another invitation to reinvent ourselves in the classroom — just as she encourages readers to do in Next Generation Genres, and as this teacher plans to do in the fall.

 

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.

 

Fastcase, vLex merger accelerates investment into legal AI — from reuters.com by Sara Merken

Excerpts (emphasis DSC):

(Reuters) – As artificial intelligence pushes deeper into the legal industry, Fastcase and vLex are merging in a deal the legal research companies said [on 4/4/23] will speed up the creation of AI tools for lawyers.

The merger creates a law library that is “the biggest legal data corpus ever assembled,” the companies said. The new company will have more than one billion legal documents from more than 100 countries, including judicial opinions, statutes, regulations, briefs, pleadings and legal news articles, they said.


Also see:

In Major Legal Tech Deal, vLex and Fastcase Merge, Creating A Global Legal Research Company, Backed By Oakley Capital and Bain Capital — from lawnext.com by Bob Ambrogi

Excerpt:

In a deal that will reshape the legal research and legal technology landscape on a global basis and threaten the longstanding “Wexis” legal research duopoly, the companies vLex and Fastcase today announced that they have merged into a single entity that they say will have the world’s largest subscriber base of lawyers and law firms and a legal research library of more than 1 billion documents from more than 100 countries.


Speaking about the legal realm and innovations, also see:

On LawNext: 15 Years, 15 Lessons: Clio Founder Jack Newton On What He’s Learned About Building a Successful Company — from lawnext.com by Bob Ambrogi and Jack Newton

Excerpt:

As Clio marks its 15th anniversary in 2023, Newton sat down with me to share 15 lessons he has learned along the way regarding what makes a successful company and a successful leader. He also reminisces about the early days of starting Clio and his early successes and challenges. Notably, he and Gauvreau founded Clio in the middle of the Great Recession, and one of the lessons he shares in this episode is his belief that a recession is a great time to build a company.

For anyone who has founded or is thinking of founding a legal tech startup, this episode is a must-listen. Even for those who are not tech founders, but law firm founders, many of Newton’s lessons apply.

 
 

A museum without screens: The Media Museum of Sound and Vision in Hilversum — from inavateonthenet.net

Excerpt:

Re-opened to the public last month after five years of planning and two-and-a-half years of renovations, The Media Museum of Sound and Vision in Hilversum in the Netherlands, is an immersive experience exploring modern media. It’s become a museum that continuously adapts to the actions of its visitors in order to reflect the ever-changing face of media culture.

How we consume media is revealed in five zones in the building: Share, Inform, Sell, Tell and Play. The Media Museum includes more than 50 interactives, with hundreds of hours of AV material and objects from history. The experience uses facial recognition and the user’s own smartphone to make it a personalised museum journey for everyone.

 

A portion of the Media Museum in Hilversum, the Netherlands
Photo from Mike Bink

From DSC:
Wow! There is some serious AV work and creativity in the Media Museum of Sound and Vision!

 

To those who celebrate it: Happy Easter to you! He is risen! He is risen indeed!

 
 
 

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.

 

What Is the Secret Sauce for Deeper Learning? — from cultofpedagogy.com by Jennifer Gonzalez

Excerpt:

One place that was a consistent source of deep learning was what Fine and Mehta referred to as “the periphery,” elective classes like art and robotics and extracurriculars like debate and athletics that are outside of what we consider to be the core academic classes. “Nobody talks very much about what’s going on in those spaces,” Fine says, “and yet they were the places where we saw the richest learning happening.” In these spaces, much of what they call the “grammar” of school is different: Students are there by choice, they have opportunities for apprenticeship and leadership, they can specialize in a subdomain of the field, and there’s usually a real product being produced for an authentic audience.

In the book, the authors used a school theater program as an example of this kind of learning at the periphery.


 

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

 


 
 

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:


 
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