1. The GPT-4 Browser That Will Change Your Search Game — from noise.beehiiv.com by Alex Banks
    Why Microsoft Has The ‘Edge’ On Google

Excerpts:

Microsoft has launched a GPT-4 enhanced Edge browser.

By integrating OpenAI’s GPT-4 technology with Microsoft Edge, you can now use ChatGPT as a copilot in your Bing browser. This delivers superior search results, generates content, and can even transform your copywriting skills (read on to find out how).

Benefits mentioned include: Better Search, Complete Answers, and Creative Spark.

The new interactive chat feature means you can get the complete answer you are looking for by refining your search by asking for more details, clarity, and ideas.

From DSC:
I have to say that since the late 90’s, I haven’t been a big fan of web browsers from Microsoft. (I don’t like how Microsoft unfairly buried Netscape Navigator and the folks who had out-innovated them during that time.) As such, I don’t use Edge so I can’t fully comment on the above article.

But I do have to say that this is the type of thing that may make me reevaluate my stance regarding Microsoft’s browsers. Integrating GPT-4 into their search/chat functionalities seems like it would be a very solid, strategic move — at least as of late April 2023.


Speaking of new items coming from Microsoft, also see:

Microsoft makes its AI-powered Designer tool available in preview — from techcrunch.com by Kyle Wiggers

Excerpts:

[On 4/27/23], Microsoft Designer, Microsoft’s AI-powered design tool, launched in public preview with an expanded set of features.

Announced in October, Designer is a Canva-like web app that can generate designs for presentations, posters, digital postcards, invitations, graphics and more to share on social media and other channels. It leverages user-created content and DALL-E 2, OpenAI’s text-to-image AI, to ideate designs, with drop-downs and text boxes for further customization and personalization.

Designer will remain free during the preview period, Microsoft says — it’s available via the Designer website and in Microsoft’s Edge browser through the sidebar. Once the Designer app is generally available, it’ll be included in Microsoft 365 Personal and Family subscriptions and have “some” functionality free to use for non-subscribers, though Microsoft didn’t elaborate.

 

The Edtech Insiders’ Rundown of ASU GSV 2023  — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell

Excerpt:

A few current categories of AI in Edtech particularly jump out:

  • Teacher Productivity and Joy: Tools to make educators’ lives easier (and more fun?) by removing some of the more rote tasks of teaching, like lesson planning (we counted at least 8 different tools for lesson planning), resource curation and data collection.
  • Personalization and Learning Delivery: Tools to tailor instruction to the particular interests, learning preferences and preferred media consumption of students. This includes tools that convert text to video, video to text, text to comic books, Youtube to notes, and many more.
  • Study and Course Creation Tools: Tools for learners to automatically make quizzes, flashcards, notes or summaries of material, or even to automatically create full courses from a search term.
  • AI Tutors, Chatbots and Teachers: There will be no shortage of conversational AI “copilots” (which may take many guises) to support students in almost any learning context. Many Edtech companies launched their own during the conference. Possible differentiators here could be personality, safety, privacy, access to a proprietary or specific data set, or bots built on proprietary LLMs.
  • Simplifying Complex Processes: One of the most inspiring conversations of the conference for me was with Tiffany Green, founder of Uprooted Academy, about how AI can and should be used to remove bureaucratic barriers to college for underrepresented students (for example, used to autofill FAFSA forms, College Applications, to search for schools and access materials, etc). This is not the only complex bureaucratic process in education.
  • Educational LLMs: The race is on to create usable large language models for education that are safe, private, appropriate and classroom-ready. Merlyn Mind is working on this, and companies that make LLMs are sprouting up in other sectors…
 

EdTech Is Going Crazy For AI — from joshbersin.com by Josh Bersin

Excerpts:

This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.

No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.

Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?

The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.


Speaking of the ASU+GSV Summit, see this posting from Michael Moe:

EIEIO…Brave New World
By: Michael Moe, CFA, Brent Peus, Owen Ritz

Excerpt:

Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…

***

Also see:

Imagining what’s possible in lifelong learning: Six insights from Stanford scholars at ASU+GSV — from acceleratelearning.stanford.edu by Isabel Sacks

Excerpt:

High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.



A guide to prompting AI (for what it is worth) — from oneusefulthing.org by Ethan Mollick
A little bit of magic, but mostly just practice

Excerpt (emphasis DSC):

Being “good at prompting” is a temporary state of affairs. The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.

The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.

From DSC:
Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.


From DSC:
Bizarre…at least for me in late April of 2023:


Excerpt from Lore Issue #28: Drake, Grimes, and The Future of AI Music — from lore.com

Here’s a summary of what you need to know:

  • The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
  • Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
  • Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
  • The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.

The Need for AI PD — from techlearning.com by Erik Ofgang
Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.

“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.”  This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI. 


Coursera Adds ChatGPT-Powered Learning Tools — from campustechnology.com by Kate Lucariello

Excerpt:

At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.

Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.

From DSC:
Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.


 




AutoGPT is the next big thing in AI— from therundown.ai by Rowan Cheung

Excerpt:

AutoGPT has been making waves on the internet recently, trending on both GitHub and Twitter. If you thought ChatGPT was crazy, AutoGPT is about to blow your mind.

AutoGPT creates AI “agents” that operate automatically on their own and complete tasks for you. In case you’ve missed our previous issues covering it, here’s a quick rundown:

    • It’s open-sourced [code]
    • It works by chaining together LLM “thoughts”
    • It has internet access, long-term and short-term memory, access to popular websites, and file storage

.



From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.

Generative Agents: Interactive Simulacra of Human Behavior -- a paper from Stanford from April 2023


From DSC:
And for a rather fun idea/application of these emerging technologies, see:

  • Quick Prompt: Kitchen Design — from linusekenstam.substack.com by Linus Ekenstam
    Midjourney Prompt. Create elegant kitchen photos using this starting prompt. Make it your own, experiment, add, remove and tinker to create new ideas.

…which made me wonder how we might use these techs in the development of new learning spaces (or in renovating current learning spaces).


From DSC:
On a much different — but still potential — note, also see:

A.I. could lead to a ‘nuclear-level catastrophe’ according to a third of researchers, a new Stanford report finds — from fortune.com by Tristan Bove

Excerpt:

Many experts in A.I. and computer science say the technology is likely a watershed moment for human society. But 36% don’t mean that as a positive, warning that decisions made by A.I. could lead to “nuclear-level catastrophe,” according to researchers surveyed in an annual report on the technology by Stanford University’s Institute for Human-Centered A.I., published earlier this month.


 

Credentialed learning for all -- from Getting Smart

 

Why credential section -- from Getting Smart's Credentialed Learning for All

Credentialed Learning For All — from gettingsmart.com

Vision

Learning happens throughout life and is not isolated to the K-12 or higher education sectors. Yet, often, validations of learning only happen in these specific areas. The system of evaluation based on courses, grades, and credit serves as a poor proxy for communicating skills given the variation in course content, grade inflation, and inclusion of participation and extra credit within course grades.

Credentialed learning provides a way to accurately document human capability for all learners throughout their life. A lifetime credentialed learning ecosystem provides better granularity around learning, better documentation of the learning, and more relevance for both the credential recipient and reviewer. This improves the match between higher education and/or employment with the individual, while also providing a more clear and accurate lifetime learning pathway.

With a fully-credentialed system, individuals can own well-documented evidence of a lifetime of learning and choose what and when to share this data. This technology enables every learner to have more opportunities for finding the best career match without today’s existing barriers around cost, access, and proxies.


Addendum on 4/28/23 — speaking of credentials:

First Rung — from the-job.beehiiv.com by Paul Fain
New research shows stacking credentials pays off for low-income learners.

Stacking credentials pays off for many low-income students, new research finds, but only if learners move up the education ladder. Also, Kansas is hoping a new grant program will attract more companies to participate in microinternships.


 

The future of education in a world of AI — from oneusefulthing.org by Ethan Mollick
A positive vision for the transformation to come

Excerpt:

Imagine introducing high-quality AI tutors into the flipped classroom model. These AI-powered systems have the potential to significantly enhance the learning experience for students and make flipped classrooms even more effective. They provide personalized learning, where AI tutors can tailor instruction to each student’s unique needs while continually adjusting content based on performance. This means that students can engage with the content at home more effectively, ensuring they come to class better prepared and ready to dive into hands-on activities or discussions.

With AI tutors taking care of some of the content delivery outside of class, teachers can devote more time to fostering meaningful interactions with their students during class. They can also use insights from the AI tutors to identify areas where students might need extra support or guidance, enabling them to provide more personalized and effective instruction. And with AI assistance, they can design better active learning opportunities in class to make sure learnings stick.


Also relevant/see:

ChatGPT is going to change education, not destroy it — from technologyreview.com by Will Douglas Heaven
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.

Advanced chatbots could be used as powerful classroom aids that make lessons more interactive, teach students media literacy, generate personalized lesson plans, save teachers time on admin, and more.

Will ChatGPT Change How Professors Assess Learning? — from chronicle.com by Becky Supiano
It won’t be easy without their colleges’ support.

What the Past Can Teach Us About the Future of AI and Education — from campustechnology.com by Dr. David Wiley
Current attitudes toward generative AI hearken back to early skepticism about the impact of the internet on education. Both then and now, technology has created challenges but also opportunities that can’t be ignored.


 

From DSC:
Before we get to Scott Belsky’s article, here’s an interesting/related item from Tobi Lutke:


Our World Shaken, Not Stirred: Synthetic entertainment, hybrid social experiences, syncing ourselves with apps, and more. — from implications.com by Scott Belsky
Things will get weird. And exciting.

Excerpts:

Recent advances in technology will stir shake the pot of culture and our day-to-day experiences. Examples? A new era of synthetic entertainment will emerge, online social dynamics will become “hybrid experiences” where AI personas are equal players, and we will sync ourselves with applications as opposed to using applications.

A new era of synthetic entertainment will emerge as the world’s video archives – as well as actors’ bodies and voices – will be used to train models. Expect sequels made without actor participation, a new era of ai-outfitted creative economy participants, a deluge of imaginative media that would have been cost prohibitive, and copyright wars and legislation.

Unauthorized sequels, spin-offs, some amazing stuff, and a legal dumpster fire: Now lets shift beyond Hollywood to the fast-growing long tail of prosumer-made entertainment. This is where entirely new genres of entertainment will emerge including the unauthorized sequels and spinoffs that I expect we will start seeing.


Also relevant/see:

Digital storytelling with generative AI: notes on the appearance of #AICinema — from bryanalexander.org by Bryan Alexander

Excerpt:

This is how I viewed a fascinating article about the so-called #AICinema movement.  Benj Edwards describes this nascent current and interviews one of its practitioners, Julie Wieland.  It’s a great example of people creating small stories using tech – in this case, generative AI, specifically the image creator Midjourney.

Bryan links to:

Artists astound with AI-generated film stills from a parallel universe — from arstechnica.com by Benj Edwards
A Q&A with “synthographer” Julie Wieland on the #aicinema movement.

An AI-generated image from an #aicinema still series called Vinyl Vengeance by Julie Wieland, created using Midjourney.


From DSC:
How will text-to-video impact the Learning and Development world? Teaching and learning? Those people communicating within communities of practice? Those creating presentations and/or offering webinars?

Hmmm…should be interesting!


 

The Future of Teaching is Here — from samchaltain.substack.com by Sam Chaltain

Excerpts (emphasis DSC):

It’s not sexy, but I feel like Sal Khan’s recent video introducing his Academy’s GPT-fueled AI tutor augurs the future of the teaching profession — and not just at Khan Academy.

The tutor is already fully capable of offering personalized feedback, hints and suggestions for just about any topic for which there are already clearly established answers — from solving math equations with parentheses to digesting John Locke’s political philosophy.

But now we’ve entered a new chapter — dare I say, a Technological Singularity (20 years early) — one in which Chat-GPT in particular, and the daily flood of AI tools more generally, has changed the nature of the teacher/student relationship even more irrevocably than before.

As a result, from this day forward, the job of a teacher REALLY needs to stop being about transmission.

So what should it start being instead?

In which case, the future of teaching is not about transmission, but it is about the other trans- words: transmedia exploration, transdisciplinary weaving, transcultural understanding, and, yes, personal and societal transformation.

 
 


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.

 

A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify

Excerpts (emphasis DSC):

Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.

Automation,  or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.

Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.

From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.

 

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.

 

ChatGPT could be an effective and affordable tutor — from theconversation-com.cdn.ampproject.org by Anne Trumbore

Excerpt:

Yet the history and research of intelligent tutors show that using the right design to harness the power of chatbots like ChatGPT can make deeper, individualized learning available to almost anyone. For example, if people use ChatGPT to ask students questions that prompt them to revise or explain their work, students will have better learning gains. Since ChatGPT has access to far more knowledge than Aristotle ever did, it has great potential for providing tutoring to students to help them learn more than they would otherwise.

 

HOW DUOLINGO’S AI LEARNS WHAT YOU NEED TO LEARN — from spectrum.ieee.org by Klinton Bicknell, Claire Brust, and Burr Settles
The AI that powers the language-learning app today could disrupt education tomorrow

Excerpt:

It’s lunchtime when your phone pings you with a green owl who cheerily reminds you to “Keep Duo Happy!” It’s a nudge from Duolingo, the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. The app chooses its notification words based on what has worked for you in the past and the specifics of your recent achievements, adding a dash of attention-catching novelty. When you open the app, the lesson that’s queued up is calibrated for your skill level, and it includes a review of some words and concepts you flubbed during your last session.

The AI systems we continue to refine are necessary to scale the learning experience beyond the more than 50 million active learners who currently complete about 1 billion exercises per day on the platform.

Although Duolingo is known as a language-learning app, the company’s ambitions go further. We recently launched apps covering childhood literacy and third-grade mathematics, and these expansions are just the beginning. We hope that anyone who wants help with academic learning will one day be able to turn to the friendly green owl in their pocket who hoots at them, “Ready for your daily lesson?”


Also relevant/see:

GPT-4 deepens the conversation on Duolingo

Duolingo turned to OpenAI’s GPT-4 to advance the product with two new features: Role Play, an AI conversation partner, and Explain my Answer, which breaks down the rules when you make a mistake, in a new subscription tier called Duolingo Max. 

“We wanted AI-powered features that were deeply integrated into the app and leveraged the gamified aspect of Duolingo that our learners love,” says Bodge.


Also relevant/see:

The following is a quote from Donald Clark’s posting on LinkedIn.com today:

The whole idea of AI as a useful teacher is here. Honestly it’s astounding. They have provided a Socratic approach to an algebra problem that is totally on point. Most people learn in the absence of a teacher or lecturer. They need constant scaffolding, someone to help them move forward, with feedback. This changes our whole relationship with what we need to know, and how we get to know it. Its reasoning ability is also off the scale.

We now have human teachers, human learners but also AI teachers and AI that learns. It used to be a diad, it is now a tetrad – that is the basis of the new pedAIgogy.

Personalised, tutor-led learning, in any subject, anywhere, at any time for anyone. That has suddenly become real.

Also relevant/see:

Introducing Duolingo Max, a learning experience powered by GPT-4 — from blog.duolingo.com

Excerpts:

We believe that AI and education make a great duo, and we’ve leveraged AI to help us deliver highly-personalized language lessons, affordable and accessible English proficiency testing, and more. Our mission to make high-quality education available to everyone in the world is made possible by advanced AI technology.

Explain My Answer offers learners the chance to learn more about their response in a lesson (whether their answer was correct or incorrect!)

Roleplay allows learners to practice real-world conversation skills with world characters in the app.

 

Six Important Disciplines for Using AI in Learning & Development — from linkedin.com by Josh Cavalier

Excerpts (emphasis DSC):

In practice, L&D professionals must responsibly use AI-based tools. AI outputs that introduce bias or falsehoods may adversely affect the learning process of individual associates as well as the company’s overall efficiency. A human must review all content before being implemented in a learning solution.

AI will revolutionize corporate learning and development because of the ability to analyze and process large amounts of data. These capabilities will enable learners to acquire knowledge and skills more efficiently while providing personalized learning pathways customized to their current skill levels and goals.

For example, AI-powered chatbots can provide immediate feedback to front-line sales looking for specific client solutions or trying to learn about new products. By fine-tuning models, AI can ingest vendor opportunities and dynamically priced products at scale, allowing a sales team to focus on data-driven solutions for their customers.

The creation of educational media will be automated through generative AI, including training videos, podcasts, and, eventually, eLearning courses. This new reality will level the playing field for instructional designers needing more media creation skills, ultimately allowing Learning & Development to create personalized, immersive learning experiences representing the entire learning journey. 


Also relevant/see:

How artificial intelligence can support knowledge management in organizations — from realkm.com by Bruce Boyes

Examples of use cases:

  • Forecast sales probabilities
  • Discover organization inefficiencies by analyzing CRM records
  • Organize and summarize legal precedents relevant to a new case
  • Retrieve dispersed nuggets of information related to a troubleshooting situation
  • Facilitate feedback and peer review on communication systems (e.g., Slack)
  • Facilitate real-time smart sharing between marketing channels and sales pipelines
  • Find and apply question-answer pairs in online manuals to manage service knowledge
  • Provide more human-centered and accessible applications of knowledge through chatbots

 
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