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:
[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.
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…
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:
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…
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.
ChatGPT, Bing Chat, Google’s Bard—AI is infiltrating the lives of billions.
The 1% who understand it will run the world.
Here’s a list of key terms to jumpstart your learning:
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:
FaceTiming live with AI… This app came across the @ElunaAI Discord and I was very impressed with its responsiveness, natural expression and language, etc…
Feels like the beginning of another massive wave in consumer AI products.
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.
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.
A New Era for Education — from linkedin.com by Amit Sevak, CEO of ETS and Timothy Knowles, President of the Carnegie Foundation for the Advancement of Teaching
Excerpt (emphasis DSC):
It’s not every day you get to announce a revolution in your sector. But today, we’re doing exactly that. Together, we are setting out to overturn 117 years of educational tradition. … The fundamental assumption [of the Carnegie Unit] is that time spent in a classroom equals learning. This formula has the virtue of simplicity. Unfortunately, a century of research tells us that it’s woefully inadequate.
From DSC: It’s more than interesting to think that the Carnegie Unit has outlived its usefulness and is breaking apart. In fact, the thought is very profound.
If that turns out to be the case, the ramifications will be enormous and we will have the opportunity to radically reinvent/rethink/redesign what our lifelong learning ecosystems will look like and provide.
So I appreciate what Amit and Timothy are saying here and I appreciate their relaying what the new paradigm might look like. It goes with the idea of using design thinking to rethink how we build/reinvent our learning ecosystems. They assert:
It’s time to change the paradigm. That’s why ETS and the Carnegie Foundation have come together to design a new future of assessment.
Whereas the Carnegie Unit measures seat time, the new paradigm willmeasureskills—with a focus on the ones we know are most important for success in career and in life.
Whereas the Carnegie Unit never leaves the classroom, the new paradigm willcapture learning wherever it takes place—whether that is in after-school activities, during a work-experience placement, in an internship, on an apprenticeship, and so on.
Whereas the Carnegie Unit offers only one data point—pass or fail—the new paradigm willgenerate insights throughout the learning process, the better to guide students, families, educators, and policymakers.
I could see this type of information being funneled into peoples’ cloud-based learner profiles — which we as individuals will own and determine who else can access them. I diagrammed this back in January of 2017 using blockchain as the underlying technology. That may or may not turn out to be the case. But the concept will still hold I think — regardless of the underlying technology(ies).
For example, we are seeing a lot more articles regarding things like Comprehensive Learner Records (CLR) or Learning and Employment Records (LER; examplehere), and similar items.
Speaking of reinventing our learning ecosystems, also see:
The NVIDIA research team just dropped a new research paper on creating high-quality short videos from text prompts. This technique uses Video Latent Diffusion Models (Video LDMs), which work efficiently without using too much computing power.
It can create 113 frame-long videos at 1280×2048 resolution, rendered at 24 FPS, resulting in 4.7-second clips. The team first trained the model on images, then added a time dimension to make it work with videos.
This new research is impressive. At the current pace of development, we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.
A.I. Is Coming for Lawyers, Again — from nytimes.com by Steve Lohr (behind paywall) Previous advances in A.I. inspired predictions that the law was the lucrative profession most likely to suffer job losses. It didn’t happen. Is this time different?
Excerpt:
But unless the past isn’t a guide, the impact of the new technology is more likely to be a steadily rising tide than a sudden tidal wave. New A.I. technology will change the practice of law, and some jobs will be eliminated, but it also promises to make lawyers and paralegals more productive, and to create new roles. That is what happened after the introduction of other work-altering technologies like the personal computer and the internet.
One new study, by researchers at Princeton University, the University of Pennsylvania and New York University, concluded that the industry most exposed to the new A.I. was “legal services.” Another research report, by economists at Goldman Sachs, estimated that 44 percent of legal work could be automated. Only the work of office and administrative support jobs, at 46 percent, was higher.
Lawyers are only one occupation in the path of A.I. progress. A study by researchers at OpenAI, the creator of ChatGPT, and the University of Pennsylvania found that about 80 percent of American workers would have at least 10 percent of their tasks affected by the latest A.I. software.
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.
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.
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.
Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.
Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.
From DSC: I wonder if this will turn out to be the case:
I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.
From DSC: Before we get to Scott Belsky’s article, here’s an interesting/related item from Tobi Lutke:
I just clued in how insane text2vid will get soon. As crazy as this sounds, we will be able to generate movies from just minor prompts and the path there is pretty clear.
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.
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.
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?
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.
