Introducing the GPT Store

Introducing the GPT Store — from OpenAI
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.

It’s been two months since we announced GPTs, and users have already created over 3 million custom versions of ChatGPT. Many builders have shared their GPTs for others to use. Today, we’re starting to roll out the GPT Store to ChatGPT Plus, Team and Enterprise users so you can find useful and popular GPTs. Visit chat.openai.com/gpts to explore.



Introducing ChatGPT Team — from openai.com
We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work.

ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal.


GPT Store — from theneurondaily.com by Noah Edelman & Pete Huang

The App Store for ChatGPTs is here.

OpenAI finally launched its GPT Store—a hub offering access to over 3 million GPTs, for paid users (#sorrynotsorry).
If you missed pt. 1, pt. 2, and pt. 3 of our GPTs analysis, here’s the TLDR: GPTs are customized versions of ChatGPT pre-loaded with prompts or context, each designed to be good at specific tasks.

There’s a GPT for everything, like one for lesson plans, one that crunches numbers, and one that recommends books you’ll buy but never read.

The GPT Store is a game-changer.


OpenAI Just Released The GPT Store. Here’s How To Use It And Make Money With Your GPT — from artificialcorner.com by The Pycoach
Learn how to publish your GPT to the store and monetize it.

How to stand out on the GPT Store
The low barrier to entry for making GPTs will make earning money on the GPT store difficult. Not everyone will make tons of money off their GPT, but I think those with more chances of success will:

  • Use custom actions: This is a feature that allows your GPT to connect to an API. Connecting to APIs gives your GPT new functionalities that others won’t be able to replicate unless they have access to the API (here you can see my tutorial on how to add custom action to your GPT)
  • Use knowledge: Knowledge is a feature that allows you to add files to your GPT. Adding exclusive information could enrich your GPT and help it stand out from the pack. Just remember that files can be downloaded when the code interpreter is enabled.

OpenAI releases the app store of AI — from superhuman.ai by Zain Kahn

App stores are ginormous businesses. According to CNBC’s estimates, Apple’s App Store grossed north of $70 Billion in 2022. That’s more revenue than Spotify, Shopify and Airbnb generated in the same year — combined.

When you look at the size of the opportunity that app stores built on top of popular platforms unlock, OpenAI’s latest move to launch a GPT Store is another bold bet by the startup that’s already leading the LLM and chatbot markets with GPT-4 and ChatGPT.

Announced [on 1/10/24], the GPT Store is a place for ChatGPT users to find custom versions of the chatbot that are designed for specific use cases.

 

Your classmate could be an AI student at this Michigan university  — from mlive.com by Melissa Frick

BIG RAPIDS, MI – A Michigan university is believed to be the first in the country to use artificial intelligence (AI) to create virtual students that will enroll in classes and participate in lessons and assignments.

Ferris State University, which has one of just three undergraduate AI programs in the U.S., has developed two AI students who are enrolling at Ferris State as freshmen this semester and taking classes alongside human classmates.

At first, Ann and Fry will only be able to observe the class, but the goal is for the AI students to soon be able to speak during classroom discussions and have two-way conversations with their classmates, Thompson said.

Also relevant, see:

These two new Ferris State students are actually AI

These two new Ferris State students are actually AI — from woodtv.com by Demetrios Sanders

BIG RAPIDS, Mich. (WOOD) — As Ferris State University gets ready for its spring semester, two virtual students will begin classes as part of a new artificial intelligence experiment.

Ferris State University offers one of three AI undergraduate programs in the entire country.

“We are leaders in the artificial intelligence area, and why not put us to the test?” said Dr. Kasey Thompson, special assistant to the president for innovation and entrepreneurship at Ferris State.

University enrolling AI-powered “Students” who will turn in assignments, participate in class discussions — from futurism.com
Even students aren’t safe from AI.

Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.


AI & “Un-Personalised” Learning — from drphilippahardman.substack.com by Dr. Philippa Hardman
Exploring the full potential of AI to improve human learning, beyond the 1:1 AI tutor

In this week’s blog post we will look at AI from a different angle and ask: what are the pros and cons of using AI for personalisation? And what’s the potential impact of using AI to optimise and scale more connected, communal learning experiences?

TL;DR: while personalised learning has some benefits for some learner outcomes, the social interaction and connected aspects of communal learning are proven to offer similar academic benefits, as well as additional socio-cultural benefits for a broader range of students.

AI for “Un-Personalised” Learning
The next question is, of course: how could we use AI to scale the positive outcomes of “un-personalised”, communal learning?

Here are some initial ideas:


How to make the most of ChatGPT in 2024 — from wondertools.substack.com by Jeremy Caplan
A Wonder Tools guide


N.Y. Governor Hochul Proposes $400 Million To Launch University AI Consortium — from forbes-com.cdn.ampproject.org by Michael T. Nietzel

New York Governor Kathy Hochul wants to make New York the nation’s leader in artificial intelligence research and development. As part of her State of the State address on Tuesday, Hochul proposed the creation of Empire AI – a consortium of the state’s research universities and other institutions that would form an artificial intelligence computing center in upstate New York.

Empire AI would include seven founding institutions—Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the State University of New York (SUNY), the City University of New York (CUNY), and the Simons Foundation.


North Carolina AI Education Guidance Release — from stefanbauschard.substack.com by Stefan Bauschard
“A” grade in my mind; it just needs to anticipate the near future a bit more

TLDR
The Guidance

*North Carolina has arguably issued the best AI guidance to date (IMHO), and I explain why below (my highlighted version is here). This is in no way a knock on the other guidance reports, as I think they offer a lot them of very important and essential guidance. I just really like how NC packages it and the emphasis they put on certain things.

 

CES 2024: Unveiling The Future Of Legal Through Consumer Innovations — from abovethelaw.com by Stephen Embry
The ripple effects on the legal industry are real.

The Emerging Role of Smart TVs
Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.

This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.

From DSC:
Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.

I also wonder how this type of functionality will play out in lifelong learning from our living rooms.

Learning from the Living AI-Based Class Room

 


Also, some other legaltech-related items:


Are Tomorrow’s Lawyers Prepared for Legal’s Tech Future? 4 Recent Trends Shaping Legal Education | Legaltech News — from law.com (behind paywall)

Legal Tech Predictions for 2024: Embracing a New Era of Innovation — from jdsupra.com

As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:

Miss the Legaltech Week 2023 Year-in-Review Show? Here’s the Recording — from lawnext.com by Bob Ambrogi

Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.

So what were the top stories? Well, if you missed it, no worries. Here’s the video:

 
 

Our AI predictions for 2024 — from superhuman.ai by Zain Kahn
ALSO: How to create videos with ChatGPT

  1. AI-generated video becomes a reality
  2. AI will become an essential skill for job seekers, as employers rush to adopt AI
  3. AI will unlock new use cases for smartphones, as more efficient models enable AI features on smaller devices
  4. AI models will become smaller, cheaper and multimodal
  5. Expect drama — a lot more drama

Morgan Stanley predicts that AI will affect 40% of the workforce in the next 3 years.

 

AI University for UK? — from donaldclarkplanb.blogspot.com by Donald Clark

Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.

It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.

It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:

  1. Non-traditional students in terms of age and background
  2. Quick and easy application process
  3. Personalised learning using AI
  4. Multimodal from the start
  5. Full range of summarisation, create self-assessment, dialogue tools
  6. Focus on generative learning using AI
  7. …and Donald lists many more (ending at #25)
 

Learners’ Edition: AI-powered Coaching, Professional Certifications + Inspiring conversations about mastering your learning & speaking skills

Learners’ Edition: AI-powered Coaching, Professional Certifications + Inspiring conversations about mastering your learning & speaking skills — from linkedin.com by Tomer Cohen

Excerpts:

1. Your own AI-powered coaching
Learners can go into LinkedIn Learning and ask a question or explain a challenge they are currently facing at work (we’re focusing on areas within Leadership and Management to start). AI-powered coaching will pull from the collective knowledge of our expansive LinkedIn Learning library and, instantaneously, offer advice, examples, or feedback that is personalized to the learner’s skills, job, and career goals.

What makes us so excited about this launch is we can now take everything we as LinkedIn know about people’s careers and how they navigate them and help accelerate them with AI.

3. Learn exactly what you need to know for your next job
When looking for a new job, it’s often the time we think about refreshing our LinkedIn profiles. It’s also a time we can refresh our skills. And with skill sets for jobs having changed by 25% since 2015 – with the number expected to increase by 65% by 2030– keeping our skills a step ahead is one of the most important things we can do to stand out.

There are a couple of ways we’re making it easier to learn exactly what you need to know for your next job:

When you set a job alert, in addition to being notified about open jobs, we’ll recommend learning courses and Professional Certificate offerings to help you build the skills needed for that role.

When you view a job, we recommend specific courses to help you build the required skills. If you have LinkedIn Learning access through your company or as part of a Premium subscription, you can follow the skills for the job, that way we can let you know when we launch new courses for those skills and recommend you content on LinkedIn that better aligns to your career goals.


2024 Edtech Predictions from Edtech Insiders — from edtechinsiders.substack.com by Alex Sarlin, Ben Kornell, and Sarah Morin
Omni-modal AI, edtech funding prospects, higher ed wake up calls, focus on career training, and more!

Alex: I talked to the 360 Learning folks at one point and they had this really interesting epiphany, which is basically that it’s been almost impossible for every individual company in the past to create a hierarchy of skills and a hierarchy of positions and actually organize what it looks like for people to move around and upskill within the company and get to new paths.

Until now. AI actually can do this very well. It can take not only job description data, but it can take actual performance data. It can actually look at what people do on a daily basis and back fit that to training, create automatic training based on it.

From DSC:
I appreciated how they addressed K-12, higher ed, and the workforce all in one posting. Nice work. We don’t need siloes. We need more overall design thinking re: our learning ecosystems — as well as more collaborations. We need more on-ramps and pathways in a person’s learning/career journey.

 

Generative AI Is Set to Shake Up Education — from morganstanley.com
While educators debate the risks and opportunities of generative AI as a learning tool, some education technology companies are using it to increase revenue and lower costs.

Key Takeaways

  • Contrary to the view that generative AI is undermining education, it could ultimately improve access and quality.
  • Education technology companies have opportunities from generative AI that markets may be missing.
  • Generative AI could bring $200 billion in value to the global education sector by 2025.
  • Reskilling and retraining alone could require $6 billion in investments by 2025, with edtech companies poised to fill that need.

Outgoing SNHU president: AI means universities must change ‘dramatically’ — from msn.com by Steven Porter

In his next chapter, LeBlanc will work with a team of researchers to study emerging AI trends, impacts on education, and opportunities to innovate. (The initiative harkens back to his early scholarship. During grad school decades ago, LeBlanc studied the ways computers could impact how societies think.)

LeBlanc said the AI-induced changes on the horizon will require educational institutions to reimagine how they assess student learning and grapple with implications for privacy and data security. There are also bigger questions about what jobs will go away and what jobs will be created, which influences the fields of study schools will offer, he said.



AI & Education: A Year in Review — from drphilippahardman.substack.com by Dr. Philippa Hardman
The top five use cases & most popular tools among educators at the end of 2023 – the year than Gen AI shook-up education

Use Case #1: Content Creation
Use Case #2: Brainstorming & Ideation
Use Case #3: Research & Analysis
Use Case #4: Writing & Communicating
Use Case #5: Task Automation


I Used ChatGPT for 12 Months. Here Are Some Hidden Gems That Will Change Your Life — from theaigirl.substack.com by Diana Dovgopol
Transform your life with these ChatGPT’s hidden gems.

1. Summarize videos, articles, papers and posts
Here’s how it works (note that you need to enable browsing or plugins for this)

  1. Find the video/article/paper/post.
  2. Copy the link.
  3. Ask ChatGPT to summarize it for you.

AI ADVISORY BOARDS: Giving Students and Teachers a Voice — from aiadvisoryboards.wordpress.com

My mission is to spread awareness about the incredible potential of AI and AI advisory boards in education. Through my website, aiadvisoryboards.wordpress.com, I aim to inspire educators, administrators, and students to embrace AI and create innovative learning environments.


Report Update: Human and Computer Deep Learning and the Future of Humanity — from by Stefan Bauschard
New Chapter on School Guidance; updates on technology, the labor markets, and deep learning


 

The biggest things that happened in AI this year — from superhuman.ai by Zain Kahn

January:

  • Microsoft raises eyebrows with a huge $10 Billion investment in OpenAI.

February:

  • Meta launches Llama 2, their open-source rival to OpenAI’s models.
  • OpenAI announces ChatGPT Plus, a paid version of their chatbot.
  • Microsoft announces a new AI-powered Bing Search.

March:

  • OpenAI announces the powerful GPT-4 model, still considered to be the gold standard.
  • Midjourney releases V5, which brings AI-powered image generation one step closer to reality.
  • Microsoft launches Copilot for Microsoft 365.
  • Google launches Bard, its rival to ChatGPT.

…and more


AI 2023: A Year in Review — from stefanbauschard.substack.com by Stefan Bauschard
2023 developments in AI and a hint of what they are building toward

Some of the items that Stefan includes in his posting include:

  • ChatGPT and other language models that generate text.
  • Image generators.
  • Video generators.
  • AI models that that can read, hear, and speak.
  • AI models that can see.
  • Improving models.
  • “Multimodal” models.
  • Training on specific content.
  • Reasoning & planning.
  • …and several others

The Dictionary.com Word of the Year is “hallucinate.” — from content.dictionary.com by Nick Norlen and Grant Barrett; via The Rundown AI

hallucinate
[ huhloo-suh-neyt ]

verb
(of artificial intelligence) to produce false information contrary to the intent of the user and present it as if true and factual. Example: When chatbots hallucinate, the result is often not just inaccurate but completely fabricated.


Soon, every employee will be both AI builder and AI consumer — from zdnet.com by Joe McKendrick, via Robert Gibson on LinkedIn
“Standardized tools and platforms as well as advanced low- or no-code tech may enable all employees to become low-level engineers,” suggests a recent report.

The time could be ripe for a blurring of the lines between developers and end-users, a recent report out of Deloitte suggests. It makes more business sense to focus on bringing in citizen developers for ground-level programming, versus seeking superstar software engineers, the report’s authors argue, or — as they put it — “instead of transforming from a 1x to a 10x engineer, employees outside the tech division could be going from zero to one.”

Along these lines, see:

  • TECH TRENDS 2024 — from deloitte.com
    Six emerging technology trends demonstrate that in an age of generative machines, it’s more important than ever for organizations to maintain an integrated business strategy, a solid technology foundation, and a creative workforce.

UK Supreme Court rules AI is not an inventor — from theverge.com by Emilia David

The ruling follows a similar decision denying patent registrations naming AI as creators.

The UK Supreme Court ruled that AI cannot get patents, declaring it cannot be named as an inventor of new products because the law considers only humans or companies to be creators.


The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work — from nytimes.com by Michael M. Grynbaum and Ryan Mac

The New York Times sued OpenAI and Microsoft for copyright infringement on Wednesday, opening a new front in the increasingly intense legal battle over the unauthorized use of published work to train artificial intelligence technologies.

The suit does not include an exact monetary demand. But it says the defendants should be held responsible for “billions of dollars in statutory and actual damages” related to the “unlawful copying and use of The Times’s uniquely valuable works.” It also calls for the companies to destroy any chatbot models and training data that use copyrighted material from The Times.

On this same topic, also see:


Apple’s iPhone Design Chief Enlisted by Jony Ive, Sam Altman to Work on AI Devices — from bloomberg.com by Mark Gurman (behind paywall)

  • Design executive Tang Tan is set to leave Apple in February
  • Tan will join Ive’s LoveFrom design studio, work on AI project

AI 2023: Chatbots Spark New Tools — from heatherbcooper.substack.com by Jeather Cooper

ChatGPT and Other Chatbots
The arrival of ChatGPT sparked tons of new AI tools and changed the way we thought about using a chatbot in our daily lives.

Chatbots like ChatGPT, Perplexity, Claude, and Bing Chat can help content creators by quickly generating ideas, outlines, drafts, and full pieces of content, allowing creators to produce more high-quality content in less time.

These AI tools boost efficiency and creativity in content production across formats like blog posts, social captions, newsletters, and more.


Microsoft’s next Surface laptops will reportedly be its first true ‘AI PCs’ — from theverge.com by Emma Roth
Next year’s Surface Laptop 6 and Surface Pro 10 will feature Arm and Intel options, according to Windows Central.

Microsoft is getting ready to upgrade its Surface lineup with new AI-enabled features, according to a report from Windows Central. Unnamed sources told the outlet the upcoming Surface Pro 10 and Surface Laptop 6 will come with a next-gen neural processing unit (NPU), along with Intel and Arm-based options.


How one of the world’s oldest newspapers is using AI to reinvent journalism — from theguardian.com by Alexandra Topping
Berrow’s Worcester Journal is one of several papers owned by the UK’s second biggest regional news publisher to hire ‘AI-assisted’ reporters

With the AI-assisted reporter churning out bread and butter content, other reporters in the newsroom are freed up to go to court, meet a councillor for a coffee or attend a village fete, says the Worcester News editor, Stephanie Preece.

“AI can’t be at the scene of a crash, in court, in a council meeting, it can’t visit a grieving family or look somebody in the eye and tell that they’re lying. All it does is free up the reporters to do more of that,” she says. “Instead of shying away from it, or being scared of it, we are saying AI is here to stay – so how can we harness it?”



What to Expect in AI in 2024 — from hai.stanford.edu by
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.

Topics include:

  • White Collar Work Shifts
  • Deepfake Proliferation
  • GPUs Shortage
  • More Helpful Agents
  • Hopes for U.S. Regulation
  • Asking Big Questions, Applying New Policies
  • Companies Will Navigate Complicated Regulations

Addendum on 1/2/24:


 

Microsoft New Future of Work Report 2023 — from microsoft.com by various authors; via Stefan Bauschard

Throughout 2023, AI and the future of work have frequently been on the metaphorical – and often literal – front page around the world. There have been many excellent articles about the ways in which work may change as LLMs are increasingly integrated into our lives. As such, in this year’s report we focus specifically on areas that we think deserve additional attention or where there is research that has been done at Microsoft that offers a unique perspective. This is a report that should be read as a complement to the existing literature, rather than as a synthesis of all of it.

This is a rare time, one in which research will play a particularly important role in defining what the future of work looks like. At this special moment, scientists can’t just be passive observers of what is happening. Rather, we have the responsibility to shape work for the better. We hope this report can help our colleagues around world make progress towards this goal.
.

Microsoft New Future of Work Report 2023

Excerpt:

Analyzing and integrating may become more important skills than searching and creating 
With content being generated by AI, knowledge work may shift towards more analysis and critical integration

  • Information search as well as content production (manually typing, writing code, designing images) is greatly enhanced by AI, so general information work may shift to integrating and critically analyzing retrieved information
  • Writing with AI is shown to increase the amount of text produced as well as to increase writing efficiency (Biermann et al. 2022, Lee et al 2022)
  • With more generated text available, the skills of research, conceptualization, planning, prompting and editing may take on more importance as LLMs do the first round of production (e.g., Mollick 2023).
  • Skills not directly to content production, such as leading, dealing with critical social situations, navigating interpersonal trust issues, and demonstrating emotional intelligence, may all be more valued in the workplace (LinkedIn 2023)
 

K12 District-Level Perspectives on AI — from aiforeducation.io by Amanda Bickerstaff, Dr. Patrick Gittisriboongul, Samantha Armstrong, & Brett Roer

Want to know how K12 schools are navigating the adoption of AI and what district-level leaders really think about GenAI EdTech tools?

Join us for this free webinar where we discussed AI technology, literacy, training, and the responsible adoption of GenAI tools in K12. Our panel explored what is working well – and not so well – across their districts from a school leader and practitioner’s perspective.


ChatGPT Has Changed Teaching. Our Readers Tell Us How. — from chronicle.com by Beth McMurtrie and Beckie Supiano

Those vastly different approaches to college writing pretty much sum up the responses to generative AI: They’re all over the map.

One year after its release, ChatGPT has pushed higher education into a liminal place. Colleges are still hammering out large-scale plans and policies governing how generative AI will be dealt with in operations, research, and academic programming. But professors have been forced more immediately to adapt their classrooms to its presence. Those adaptations vary significantly, depending on whether they see the technology as a tool that can aid learning or as a threat that inhibits it.

Nearly 100 faculty members shared their stories. While not a representative sample, they teach at a wide range of institutions: 15 community colleges, 32 public and 24 private four-year colleges or universities, seven international institutions, and one for-profit college. They teach a variety of subjects, including animal science, statistics, computer science, history, accounting, and composition. Many spent hours learning about AI: enrolling in workshops and webinars, experimenting with the tools, and reading articles, so that they could enter the fall semester informed and prepared.


The Disruption of AI in CTE Is Real — from techlearning.com by Annie Galvin Teich
An ACTE expert panel urges CTE educators to jump on the AI train as it’s already left the station

10 Best Practices for AI and CTE 

  1. Embrace AI and use it first for simple tasks to create efficiencies. Then use it to individualize instruction and for formative assessment tools aligned to standards.
  2. Be creative and conscious of internal bias and ethics. Focus on DEI and access.
  3. Encourage students to use apps and tools to start moving toward an integrated curriculum using AI.
  4. Prepare students for jobs of the future by partnering with industry to solve real problems.
  5. …and others

How are universities responding to generative AI? — from medium.com by Nic Newman
What’s next for higher education as we enter a new wave of edtech innovation: AI-powered learning

Where will AI make a big difference?
At Emerge, we have identified eight high-level trends — what we’re calling “engines of opportunity”. These eight “engines of opportunity” capture our ideas about how AI is being used to drive better practice and outcomes in HE, now and into the future.

They fall into two main categories:

  • Making learning more engaging: solutions that scale high quality pedagogy at low cost.
  • Making teaching more efficient: solutions that save educators and organisations time and money.

 

AI Is Transforming Corporate Learning Even Faster Than I Expected — from joshbersin.com by Josh Bersin

Excerpts (emphasis DSC):

Of all the domains to be impacted by AI, perhaps the biggest transformation is taking place in corporate learning. After a year of experimentation, it’s now clear that AI will revolutionize this space.

Here’s a simple example. I asked Galileo™, which is powered by 25 years of research and case studies, “How do I deal with an employee who’s always late? And please give me a narrative to help?” Rather than take me to a course on management or show me a bunch of videos, it simply answered the question. This type of interaction is where much of corporate learning is going.

In all my years as an analyst, I’ve never seen a technology with so much potential. AI will revolutionize the L&D landscape, reinventing how we do our work so L&D professionals can spend time consulting with the business.

 


New Resource Catalogs and Makes Searchable Nearly 600 GPTs Related to Law, Tax and Regulatory Issues — from lawnext.com by Bob Ambrogi

But if you are looking for a law-related GPT, a new site can help. Raymond Blyd, the Amsterdam-based cofounder of Legalpioneer, a site that lists law-related companies, and CEO of Legalcomplex, a company that tracks investments and market data, has uncovered nearly 600 law-related GPTs and made them searchable on a new resource he calls Legalpioneer Copilot.

Blyd (who recently changed the spelling of his last name from Blijd) told me that the GPTs he has found cover a range of legal, regulatory and tax issues, and could be useful for academics, professionals and businesses.


With Launch of New AI Features, LawToolBox Is First Legal App Approved for Use with Copilot for Microsoft 365 — from lawnext.com by Bob Ambrogi


How It Works: AutoNDA, A Free Platform to Automate NDAs Under the Open Source oneNDA Standard — from lawnext.com by Bob Ambrogi

AutoNDA is designed for inhouse legal and business teams that need to streamline and centralize the NDA process. It enables self-serve access for your business teams and gives in-house teams control over outbound NDAs. It also stores and organizes all completed NDAs.


On LawNext: The Law Students Working to End Racism in the Legal System — from lawnext.com by Bob Ambrogi

 

An Opinionated Guide to Which AI to Use: ChatGPT Anniversary Edition — from oneusefulthing.org by Ethan Mollick
A simple answer, and then a less simple one.

If you are at all interested in generative AI and understanding what it can do and why it matters, you should just get access to OpenAI’s GPT-4 in as unadulterated and direct way as possible. Everything else comes after that.

Now, to be clear, this is not the free ChatGPT, which uses GPT-3.5.


America's Next Top Model LLMs in Educational Settings

1. America’s Next Top Model LLMs in Educational Settings

  • PDF
    Topics Discussed:
    Need for a Comprehensive Student-Centric Approach
    Collaboration between EdTech Companies and Educators
    Personalized Learning Orchestration
    Innovation and Agility of Startups vs. Resources of Big Tech
    The Essential Role of AI in Transforming Education
  • Video recording from Edtech Insiders

2. Hello, Mr. Chips: AI Teaching Assistants, Tutors, Coaches and Characters

  • PDF
    Topics discussed:
    Engagement and Co-Creation
    Educator Skills and AI Implementation
    Teacher Empowerment and Student Creativity
    Efficacy and Ethical Concerns
  • Video recording from Edtech Insiders

He Was Falsely Accused of Using AI. Here’s What He Wishes His Professor Did Instead | Tech & Learning — from techlearning.com by Erik Ofgang
When William Quarterman was accused of submitting an AI-generated midterm essay, he started having panic attacks. He says his professor should have handled the situation differently.


Teaching: Practical AI strategies for the classroom — from chronicle.com by Beckie Supiano and Luna Laliberte

Here are several strategies you can try.

  • Quick Hits: Several presenters suggested exercises that can be quick, easy, and fun for students. Invite your class to complete a Mad Libs using ChatGPT. It’s a playful way to leverage ChatGPT’s ability to predict the next word, giving students insight into how generative AI works on a fundamental level. You can also have your students use ChatGPT to rewrite their own writing in the tone and style of their favorite writers. This exercise demonstrates AI’s ability to mimic style and teaches students about adopting different tones in writing.
  • Vetting Sources
  • Grade ChatGPT
  • Lead by Example  

Embracing Artificial Intelligence in the Classroom — from gse.harvard.edu; via Alex Webb at Bloomberg
Generative AI tools can reflect our failure of imagination and that is when the real learning starts


Class Disrupted S5 E3: The Possibilities & Challenges of Artificial Intelligence in the Classroom — from the74million.org by Michael B. Horn & Diane Tavenner
AI expert and Minerva University senior Irhum Shafkat joins Michael and Diane to discuss where the technology is going.


Schools urged to teach children how to use AI from age of 11 — from news.sky.com by Tom Acres
Artificial intelligence tools such as ChatGPT are being used by children to help with homework and studying – and there are calls for it to become a central part of the school curriculum.

Excerpt (emphasis DSC):

Schools have been urged to teach children how to use AI from the age of 11 as the technology threatens to upend the jobs market.

Rather than wait for pupils to take up computer science at GCSE, the British Computer Society (BCS, The Chartered institute for IT) said all youngsters need to learn to work with tools like ChatGPT.

The professional body for computing wants a digital literary qualification to be introduced, with a strong focus on artificial intelligence and its practical applications.

An understanding of AI should also become a key part of teacher training and headteacher qualifications, it added.


Improving Your Teaching With an AI Coach — from edutopia.org by Stephen Noonoo
New tools are leveraging artificial intelligence to help teachers glean insights into how they interact with students.


COMMENTARY
Embracing artificial intelligence in the workforce starts with higher education — from nebraskaexaminer.com by Jaci Lindburg and Cassie Mallette

When students can understand the benefit of using it effectively, and learn how to use AI to brainstorm, problem solve, and think through decision making scenarios, they can work more efficiently, make difficult decisions faster and improve a company’s production output.

It is through embracing the power and potential of AI that we can equip our students with future-ready skills. Through intentional teaching strategies that guide students to think creatively about how to use AI in their work, higher education can ensure that students are on the cutting edge in terms of using advancing technologies and being workforce ready upon graduation.

Also see:

The ChatGPT/AI Prompt Book is a resource for the UNO community that demonstrates how students can use AI in their studies and how faculty can incorporate it into their courses and daily work. The goal: to teach individuals how to be better prompt engineers and develop the skills needed to utilize this emerging technology as one of the many tools available to them in the workforce.


Two Ideas for Teaching with AI: Course-Level GPTs and AI-Enhanced Polling — from derekbruff.org by Derek Bruff

Excerpt (emphasis DSC):

Might we see course-level GPTs, where the chatbot is familiar with the content in a particular course and can help students navigate and maybe even learn that material? The answer is, yes and they’re already here. Top Hat recently launched Ace, an AI-powered learning assistant embedded in its courseware platform. An instructor can activate Ace, which then trains itself on all the learning materials in the course. Students can then use Ace as a personal tutor of sorts, asking it questions about course material.

Ace from Top Hat -- empowering educators and students with a human-centered application of AI


Reflections On AI Policies in Higher Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
And Why First-Hand Generative AI Experience is Crucial for Leadership

AI is already showing far-reaching consequences for societies and educational institutions around the world. It is my contention that it is impossible to set strategic direction for AI in higher education if you haven’t yet tried working with the technology yourself. The first wave of overwhelming, profound surprise simply cannot be outsourced to other parts of the organization.

I mention this because the need for both strategic and operational guidance for generative AI is growing rapidly in higher education institutions. Without the necessary – and quite basic – personal generative AI experience, however, it becomes difficult for leadership to meaningfully direct and anchor AI in the organization.

And without clear guidance in place, uncertainty arises for all internal stakeholders about expectations and appropriate uses of AI. This makes developing an institutional AI policy not just sensible, but necessary.




A free report for educational leaders and policymakers who want to understand the AI World — from stefanbauschard.substack.com by Stefan Bauschard
And the immediate need for AI literacy

Beyond synthesizing many ideas from educational theory and AI deep learning, the report provides a comprehensive overview of developments in the field of AI, including current “exponential advances.” It’s updated through the release of Gemini and Meta’s new “Seamless” translation technology that arguably eliminates the need for most translators, and probably even the need to learn to speak another language for most purposes.

We were a mere 18 hours too late from covering an entire newscast (and news channel) that is produced with AI in a way that creates representations that are indistinguishable from what is “real” (see below) though it super-charges our comprehensive case and immediate AI literacy.

We also provide several suggestions and a potential roadmap for schools to help students prepare for an AI World where computers are substantialy smarter than them in many ways.

 

Google hopes that this personalized AI -- called Notebook LM -- will help people with their note-taking, thinking, brainstorming, learning, and creating.

Google NotebookLM (experiment)

From DSC:
Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.

It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)

 
© 2024 | Daniel Christian