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“Synthetic Video & AI Professors” [Hardman] + other items re: AI in our learning ecosystems

On 05/03/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communications, community colleges, content development, aggregation, repositories, culture, digital audio, digital video, education technology, emerging technologies, higher education, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, IT in HE, online learning, online media, online tutoring, personalized/customized learning, platforms, policy, student-related, tools, trends, United States, universities, vendors, writing, by Daniel Christian

Shares of two big online education stocks tank more than 10% as students use ChatGPT — from cnbc.com by Michelle Fox; via Robert Gibson on LinkedIn

The rapid rise of artificial intelligence appears to be taking a toll on the shares of online education companies Chegg and Coursera.

Both stocks sank by more than 10% on Tuesday after issuing disappointing guidance in part because of students using AI tools such as ChatGPT from OpenAI.

Synthetic Video & AI Professors — from drphilippahardman.substack.com by Dr. Philippa Hardman
Are we witnessing the emergence of a new, post-AI model of async online learning?

TLDR: by effectively tailoring the learning experience to the learner’s comprehension levels and preferred learning modes, AI can enhance the overall learning experience, leading to increased “stickiness” and higher rates of performance in assessments.
…
TLDR: AI enables us to scale responsive, personalised “always on” feedback and support in a way that might help to solve one of the most wicked problems of online async learning – isolation and, as a result, disengagement.
…
In the last year we have also seen the rise of an unprecedented number of “always on” AI tutors, built to provide coaching and feedback how and when learners need it.

Perhaps the most well-known example is Khan Academy’s Khanmigo and its GPT sidekick Tutor Me. We’re also seeing similar tools emerge in K12 and Higher Ed where AI is being used to extend the support and feedback provided for students beyond the physical classroom.

Our Guidance on School AI Guidance document has been updated — from stefanbauschard.substack.com by Stefan Bauschard

We’ve updated the free 72-page document we wrote to help schools design their own AI guidance policies.

There are a few key updates.

  1. Inclusion of Oklahoma and significant updates from North Carolina and Washington.
  2. More specifics on implementation — thanks NC and WA!
  3. A bit more on instructional redesign. Thanks to NC for getting this party started!

Creating a Culture Around AI: Thoughts and Decision-Making — from er.educause.edu by Courtney Plotts and Lorna Gonzalez

Given the potential ramifications of artificial intelligence (AI) diffusion on matters of diversity, equity, inclusion, and accessibility, now is the time for higher education institutions to adopt culturally aware, analytical decision-making processes, policies, and practices around AI tools selection and use.

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“The Verge: What’s Next in AI?” + other items re: AI in general

On 05/01/2024, in 21st century, art, Artificial Intelligence/Agents/LLMs/and Related, bots, business, change, cloud-based computing / apps / other cloud-related, communications, content development, aggregation, repositories, corporate / business world, creativity, digital audio, digital photography, digital video, education, education technology, emerging technologies, experimentation, future, game-changing environment, generational differences, Google, health, human-computer interaction (HCI), innovation, intelligent systems, Microsoft, multimedia, Open AI, society, technologies for your home, technology (general), the downsides of how people use tech, United States, vendors, by Daniel Christian

The Verge | What’s Next With AI | February 2024 | Consumer Survey

 

 

 

 

 

 

Microsoft AI creates talking deepfakes from single photo — from inavateonthenet.net

The Great Hall – where now with AI? It is not ‘Human Connection V Innovative Technology’ but ‘Human Connection + Innovative Technology’ — from donaldclarkplanb.blogspot.com by Donald Clark

The theme of the day was Human Connection V Innovative Technology. I see this a lot at conferences, setting up the human connection (social) against the machine (AI). I think this is ALL wrong. It is, and has always been a dialectic, human connection (social) PLUS the machine. Everyone had a smartphone, most use it for work, comms and social media. The binary between human and tech has long disappeared. 

Techno-Social Engineering: Why the Future May Not Be Human, TikTok’s Powerful ForYou Algorithm, & More — from by Misha Da Vinci

Things to consider as you dive into this edition:

  • As we increasingly depend on technology, how is it changing us?
  • In the interaction between humans and technology, who is adapting to whom?
  • Is the technology being built for humans, or are we being changed to fit into tech systems?
  • As time passes, will we become more like robots or the AI models we use?
  • Over the next 30 years, as we increasingly interact with technology, who or what will we become?

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Reid Hoffman meets his AI twin

On 04/30/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, communications, content development, aggregation, repositories, digital audio, digital video, education, education technology, educational games / serious games, emerging technologies, Emotion, engagement / engaging students, experimentation, future, game-changing environment, higher education, history, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, Microsoft, multimedia, Natural Language Processing (NLP), platforms, play, United States, universities, user experience (UX), vision/possibilities, youth, by Daniel Christian

Description:

I recently created an AI version of myself—REID AI—and recorded a Q&A to see how this digital twin might challenge me in new ways. The video avatar is generated by Hour One, its voice was created by Eleven Labs, and its persona—the way that REID AI formulates responses—is generated from a custom chatbot built on GPT-4 that was trained on my books, speeches, podcasts and other content that I’ve produced over the last few decades. I decided to interview it to test its capability and how closely its responses match—and test—my thinking. Then, REID AI asked me some questions on AI and technology. I thought I would hate this, but I’ve actually ended up finding the whole experience interesting and thought-provoking.

From DSC:
This ability to ask questions of a digital twin is very interesting when you think about it in terms of “interviewing” a historical figure. I believe character.ai provides this kind of thing, but I haven’t used it much.

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Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision

On 04/29/2024, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate / business world, digital audio, digital video, Facebook / Meta Platforms, platforms, productivity / tips and tricks, tools, universities, usability, user experience (UX), vendors, videoconferencing, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision — from meta.com

  • Share Your View on a Video Call
  • Meta AI Makes Your Smart Glasses Smarter
  • All In On AI-Powered Hardware

New Ray-Ban | Meta Smart Glasses Styles and Meta AI Updates — from about.fb.com

Takeaways

  • We’re expanding the Ray-Ban Meta smart glasses collection with new styles.
  • We’re adding video calling with WhatsApp and Messenger to share your view on a video call.
  • We’re rolling out Meta AI with Vision, so you can ask your glasses about what you’re seeing and get helpful information — completely hands-free.

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Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts [Mollick & Mollick]

On 04/29/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, education technology, ethics, experimentation, faculty/staff, higher education, ideas, innovation, instructional design, intelligent systems, law schools, learning, learning ecosystem, Learning Experience Design, pedagogy, personalized/customized learning, productivity / tips and tricks, professional development, simulations, teaching & learning, tools, United States, universities, by Daniel Christian

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts –from papers.ssrn.com by Ethan R. Mollick and Lilach Mollick

Abstract

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts. Instructors can leverage their content and pedagogical expertise to design these experiences, putting them in the role of builders and innovators. We argue that this instructor-driven approach has the potential to democratize the development of educational technology by enabling individual instructors to create AI exercises and tools tailored to their students’ needs. While the exercises in this paper are a starting point, not a definitive solutions, they demonstrate AI’s potential to expand what is possible in teaching and learning.

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“The AI Tools in Education Database” + other items re: AI in our learning ecosystems

On 04/23/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, colleges, communications, community colleges, content development, aggregation, repositories, education, education reform, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty/staff, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning ecosystem, Learning Experience Design, lifelong learning, mathematics, more voice more choice more control, motivation, pedagogy, project-based learning, reinvent, skills, student-related, teachers, tools, United States, universities, vendors, youth, by Daniel Christian

The AI Tools in Education Database — from aitoolsdirectory.notion.site; via George Siemens

Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.

Another Workshop for Faculty and Staff — from aiedusimplified.substack.com by Lance Eaton
A recent workshop with some adjustments.

The day started out with a short talk about AI (slides). Some of it is my usual schtick where I do a bit of Q&A with folks around myths and misunderstandings of generative AI in order to establish some common ground. These are often useful both in setting the tone and giving folks a sense of how I come to explore generative AI: with a mixture of humor, concern, curiosity, and of course, cat pics.

From there, we launched into a series of mini-workshops where folks had time to first play around with some previously created prompts around teaching and learning before moving onto prompts for administrative work. The prompts and other support materials are in this Workshop Resource Document. The goal was to just get them into using one or more AI tools with some useful prompts so they can learn more about its capabilities.

The Edtech Insiders Rundown of ASU+GSV 2024 — from edtechinsiders.substack.com by by Sarah Morin, Alex Sarlin, and Ben Kornell
And more on Edtech Insiders+, upcoming events, Gauth, AI Reading Tutors, The Artificial Intelligence Interdisciplinary Institute, and TeachAI Policy Resources

Alex Sarlin

4. Everyone is Edtech Now
This year, in addition to investors, entrepreneurs, educators, school leaders, university admins, non-profits, publishers, and operators from countless edtech startups and incumbents, there were some serious big tech companies in attendance like Meta, Google, OpenAI, Microsoft, Amazon, Tiktok, and Canva. Additionally, a horde of management consultancies, workforce organizations, mental health orgs, and filmmakers were in attendance.

Edtech continues to expand as an industry category and everyone is getting involved.

Ep 18 | Rethinking Education, Lessons to Unlearn, Become a Generalist, & More — Ana Lorena Fábrega — from mishadavinci.substack.com by Misha da Vinci

It was such a delight to chat with Ana. She’s brilliant and passionate, a talented educator, and an advocate for better ways of learning for children and adults. We cover ways to transform schools so that students get real-world skills, learn resilience and how to embrace challenges, and are prepared for an unpredictable future. And we go hard on why we must keep learning no matter our age, become generalists, and leverage technology in order to adapt to the fast-changing world.

Misha also featured an item re: the future of schooling and it contained this graphic:

Texas is replacing thousands of human exam graders with AI — from theverge.com by Jess Weatherbed

The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.

Debating About AI: An Easy Path to AI Awareness and Basic Literacy — from stefanbauschard.substack.com by Stefan Bauschard
If you are an organization committed to AI literacy, consider sponsoring some debate topics and/or debates next year and expose thousands of students to AI literacy.

Resolved: Teachers should integrate generative AI in their teaching and learning.

The topic is simple but raises an issue that students can connect with.

While helping my students prepare and judging debates, I saw students demonstrate an understanding of many key issues and controversies.

These included—

*AI writing assessment/grading
*Bias
*Bullying
*Cognitive load
*Costs of AI systems
*Declining test scores
*Deep fakes
*Differentiation
*Energy consumption
*Hallucinations
*Human-to-human connection
*Inequality and inequity in access
*Neurodiversity
*Personalized learning
*Privacy
*Regulation (lack thereof)
*The future of work and unemployment
*Saving teachers time
*Soft skills
*Standardized testing
*Student engagement
*Teacher awareness and AI training; training resource trade-offs
*Teacher crowd-out
*Transparency and explainability
*Writing detectors (students had an exaggerated sense of the workability of these tools).

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AI Top 50 startups, innovations from Adobe, + other items re: AI in general

On 04/19/2024, in 21st century, Adobe, Artificial Intelligence/Agents/LLMs/and Related, bots, business, content development, aggregation, repositories, corporate / business world, creativity, digital audio, digital video, emerging technologies, engineering, game-changing environment, human-computer interaction (HCI), innovation, leadership, platforms, robotics, strategy, tools, United States, vendors, workplace, by Daniel Christian

Forbes 2024 AI 50 List: Top Artificial Intelligence Startups  — from forbes.com by Kenrick Cai

The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.

Adobe Previews Breakthrough AI Innovations to Advance Professional Video Workflows Within Adobe Premiere Pro — from news.adobe.com

  • New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
  • Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
    Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day
  • AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive

Also relevant see:

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AI Resources and Teaching [Kent State U] + other items re: AI in our learning ecosystems

On 04/16/2024, in adjunct faculty, art, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, design, digital audio, digital learning, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, experimentation, faculty/staff, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, media/film, Microsoft, multimedia, music, Natural Language Processing (NLP), new media literacies, online media, online tutoring, Open AI, open courseware and systems, pedagogy, platforms, productivity / tips and tricks, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com

AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.

The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.

A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.

For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.

It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”

His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
…

To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.” 

Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”

From DSC:
This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:

Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.

Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.

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Corporate Learning Is Boring — But It Doesn’t Have to Be [Wardle]

On 04/08/2024, in adult learning, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, educational games / serious games, experimentation, instructional design, learning ecosystem, Learning Experience Design, lifelong learning, play, reinvent, skills, staying relevant, training / L&D, workplace, by Daniel Christian

Corporate Learning Is Boring — But It Doesn’t Have to Be — from hbr.org by Duncan Wardle; via GSV

Summary:
Most corporate learnings aren’t cutting it. Almost 60% of employees say they’re interested in upskilling and training, but 57% of workers also say they’re already pursuing training outside of work. The author, the former Head of Innovation and Creativity at Disney, argues that creativity is the missing piece to make upskilling engaging and effective. From his experience, he shares four strategies to unlock creativity in trainings: 1) Encourage “What if?”, 2) respond “How else?” to challenges, 3) give people time to think by encouraging playfulness, and 4) make training a game.

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[Report] The Top 100 AI for Work – April 2024 [FlexOS & Daan van Rossum]

On 04/08/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Europe, experimentation, platforms, productivity / tips and tricks, reinvent, skills, staying relevant, surviving, tools, training / L&D, trends, vendors, workplace, by Daniel Christian

[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource
AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.

While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.

This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.

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“Do We Need Emotionally Intelligent AI?” [Watkins] + other items re: AI in general

On 04/04/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, communications, content development, aggregation, repositories, creativity, design, Emotion, engagement / engaging students, graphics, hearts -- matters of the heart, Open AI, the downsides of how people use tech, tools, vendors, by Daniel Christian

Do We Need Emotionally Intelligent AI? — from marcwatkins.substack.com by Marc Watkins

We keep breaking new ground in AI capabilities, and there seems little interest in asking if we should build the next model to be more life-like. You can now go to Hume.AI and have a conversation with an Empathetic Voice Interface. EVI is groundbreaking and extremely unnerving, but it is no more capable of genuine empathy than your toaster oven.
…

    • You can have the eLLM mimic a political campaign and call potential voters to sway their vote. You can do this ethically or program it to prey upon people with misinformation.
    • An eLLM can be used to socially engineer the public based on the values someone programs into it. Whose values, though?
    • Any company with a digital presence can use an eLLM like EVI to influence their customers. Imagine Alexa suddenly being able to empathize with you as a means to help persuade you to order more products.
    • An always-on, empathetic system can help a student stay on track to graduate or manipulate them into behaviors that erode their autonomy and free will.
    • Any foreign government could deploy such a system against a neighboring population and use empathy as a weapon to sow discontent within the opposing population.

From DSC:
Marc offers some solid thoughts that should make us all pause and reflect on what he’s saying. 

We can endlessly rationalize away the reasons why machines possessing such traits can be helpful, but where is the line that developers and users of such systems refuse to cross in this race to make machines more like us?

Marc Watkins

Along these lines, also see:

  • Student Chatbot Use ‘Could Be Increasing Loneliness’ — from insidehighered.com by Tom Williams
    Study finds students who rely on ChatGPT for academic tasks feel socially supported by artificial intelligence at the expense of their real-life relationships.

    …
    They found “evidence that while AI chatbots designed for information provision may be associated with student performance, when social support, psychological well-being, loneliness and sense of belonging are considered it has a net negative effect on achievement,” according to the paper published in Studies in Higher Education.
Editing your images with DALL·E — from help.openai.com via The Rundown
You can now edit images you create with DALL·E
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“NVIDIA just released FREE online courses in AI.” [Mishra] + other items re: AI in general

On 03/26/2024, in 24x7x365 access, 3D, A/V -- audio/visual, animation, art, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, creativity, digital photography, digital video, emerging technologies, experimentation, face-to-face, Google, health, homeschooling/homeschoolers, instructional design, K-12 related, learning, learning ecosystem, mathematics, media/film, mobile technologies, multimedia, NVIDIA, online learning, online media, photography, platforms, productivity / tips and tricks, the downsides of how people use tech, tools, trends, United States, vendors, by Daniel Christian

How Early Adopters of Gen AI Are Gaining Efficiencies — from knowledge.wharton.upenn.edu by Prasanna (Sonny) Tambe and Scott A. Snyder; via Ray Schroeder on LinkedIn
Enterprises are seeing gains from generative AI in productivity and strategic planning, according to speakers at a recent Wharton conference.

Its unique strengths in translation, summation, and content generation are especially useful in processing unstructured data. Some 80% of all new data in enterprises is unstructured, he noted, citing research firm Gartner. Very little of that unstructured data that resides in places like emails “is used effectively at the point of decision making,” he noted. “[With gen AI], we have a real opportunity” to garner new insights from all the information that resides in emails, team communication platforms like Slack, and agile project management tools like Jira, he said.

6 YouTube Channels to Stay Up to Date with AI — from heaigirl.substack.com by Diana Dovgopol
Here are some cool AI YouTube channels.

Here are 6 YouTube channels I watch to stay up to date with AI. This list will be useful whether you’re a casual AI enthusiast or an experienced programmer.

1. Matt Wolfe: AI for non-coders
This is a fast-growing YouTube channel focused on artificial intelligence for non-coders. On this channel, you’ll find videos about ChatGPT, Midjourney, and any AI tool that it’s gaining popularity.

Top AI mobile apps, Stable Video 3D, & my AI film workflow — from by Heather Cooper
Plus 1-Click 3D animation and other cool AI tools

#3 Photomath
Photomath is a comprehensive math help app that provides step-by-step explanations for a wide range of math problems, from elementary to college level. Photomath is only available as a mobile app. (link)

Features:

  • Get step-by-step solutions with multiple methods to choose from
  • Scan any math problem, including word problems, using the app’s camera
  • Access custom visual aids and extra “how” and “why” tips for deeper understanding

Google researchers unveil ‘VLOGGER’, an AI that can bring still photos to life — from venturebeat.com by Michael Nuñez

Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation.

What We Risk By Automating Tasks We Loathe — from marcwatkins.substack.com by Marc Watkins

I’m fascinated by the potential of these tools to augment and enhance our work and creativity. There’s no denying the impressive capabilities we’re already seeing with text generation, image creation, coding assistance, and more. Used thoughtfully, AI can be a powerful productivity multiplier.

At the same time, I have significant concerns about the broader implications of this accelerating technology, especially for education and society at large. We’re traversing new ground at a breakneck pace, and it’s crucial that we don’t blindly embrace AI without considering the potential risks.

My worry is that by automating away too many tasks, even seemingly rote ones like creating slide decks, we risk losing something vital—humanity at the heart of knowledge work.

Nvidia Introduce AI Nurses — from wireprompt.substack.com | Weekkly AI Report from WirePrompt

Nvidia has announced a partnership with Hippocratic AI to introduce AI “agents” aimed at replacing nurses in hospitals. These AI “nurses” come at a significantly low cost compared to human nurses and are purportedly intended to address staffing issues by handling “low-risk,” patient-facing tasks via video calls. However, concerns are raised regarding the ethical implications and effectiveness of replacing human nurses with AI, particularly given the complex nature of medical care.

16 Changes to the Way Enterprises Are Building and Buying Generative AI — from a16z.com by Sarah Wang and Shangda Xu

TABLE OF CONTENTS

  • Resourcing: budgets are growing dramatically and here to stay
  • Models: enterprises are trending toward a multi-model, open source world
  • Use cases: more migrating to production
  • Size of total opportunity: massive and growing quickly
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The $340 Billion Corporate Learning Industry Is Poised For Disruption [Bersin]

On 03/21/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, change, CMS/LMS, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, disruption, emerging technologies, human-computer interaction (HCI), instructional design, intelligent systems, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, microlearning, personalized/customized learning, platforms, reinvent, skills, staying relevant, surviving, training / L&D, United States, workplace, by Daniel Christian

The $340 Billion Corporate Learning Industry Is Poised For Disruption — from joshbersin.com by Josh Bersin

What if, for example, the corporate learning system knew who you were and you could simply ask it a question and it would generate an answer, a series of resources, and a dynamic set of learning objects for you to consume? In some cases you’ll take the answer and run. In other cases you’ll pour through the content. And in other cases you’ll browse through the course and take the time to learn what you need.

And suppose all this happened in a totally personalized way. So you didn’t see a “standard course” but a special course based on your level of existing knowledge?

This is what AI is going to bring us. And yes, it’s already happening today.

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“Which AI should I use?” + other AI-related items

On 03/19/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, community colleges, content development, aggregation, repositories, digital audio, digital learning, digital video, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, immersion, innovation, IT in HE, learning agents, learning ecosystem, student-related, teaching & learning, the downsides of how people use tech, tools, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

Which AI should I use? Superpowers and the State of Play — from by Ethan Mollick
And then there were three

For over a year, GPT-4 was the dominant AI model, clearly much smarter than any of the other LLM systems available. That situation has changed in the last month, there are now three GPT-4 class models, all powering their own chatbots: GPT-4 (accessible through ChatGPT Plus or Microsoft’s CoPilot), Anthropic’s Claude 3 Opus, and Google’s Gemini Advanced1.
…
Where we stand
We are in a brief period in the AI era where there are now multiple leading models, but none has yet definitively beaten the GPT-4 benchmark set over a year ago. While this may represent a plateau in AI abilities, I believe this is likely to change in the coming months as, at some point, models like GPT-5 and Gemini 2.0 will be released. In the meantime, you should be using a GPT-4 class model and using it often enough to learn what it does well. You can’t go wrong with any of them, pick a favorite and use it…

From DSC:
Here’s a powerful quote from Ethan:

In fact, in my new book I postulate that you haven’t really experienced AI until you have had three sleepless nights of existential anxiety, after which you can start to be productive again.

Using AI for Immersive Educational Experiences — from automatedteach.com by Graham Clay
Realistic video brings course content to life but requires AI literacy.

For us, I think the biggest promise of AI tools like Sora — that can create video with ease — is that they lower the cost of immersive educational experiences. This increases the availability of these experiences, expanding their reach to student populations who wouldn’t otherwise have them, whether due to time, distance, or expense.

Consider the profound impact on a history class, where students are transported to California during the gold rush through hyperrealistic video sequences. This vivifies the historical content and cultivates a deeper connection with the material.

In fact, OpenAI has already demonstrated the promise of this sort of use case, with a very simple prompt producing impressive results…

The Empathy Illusion: How AI Agents Could Manipulate Students — from marcwatkins.substack.com by Marc Watkins

Take this scenario. A student misses a class and, within twenty minutes, receives a series of texts and even a voicemail from a very concerned and empathic-sounding voice wanting to know what’s going on. Of course, the text is entirely generated, and the voice is synthetic as well, but the student likely doesn’t know this. To them, communication isn’t something as easy to miss or brush off as an email. It sounds like someone who cares is talking to them.

But let’s say that isn’t enough. By that evening, the student still hadn’t logged into their email or checked the LMS. The AI’s strategic reasoning is communicating with the predictive AI and analyzing the pattern of behavior against students who succeed or fail vs. students who are ill. The AI tracks the student’s movements on campus, monitors their social media usage, and deduces the student isn’t ill and is blowing off class.

The AI agent resumes communication with the student. But this time, the strategic AI adopts a different persona, not the kind and empathetic persona used for the initial contact, but a stern, matter-of-fact one. The student’s phone buzzes with alerts that talk about scholarships being lost, teachers being notified, etc. The AI anticipates the excuses the student will use and presents evidence tracking the student’s behavior to show they are not sick.

Not so much focused on learning ecosystems, but still worth mentioning:

The top 100 Gen AI Consumer Apps — from a16z.com / andreessen horowitz by Olivia Moore

 

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Some huge announcements from NVIDIA that will likely impact our futures

On 03/19/2024, in 21st century, 24x7x365 access, 3D, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, content development, aggregation, repositories, corporate / business world, creativity, digital audio, digital video, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, generational differences, human-computer interaction (HCI), innovation, intelligent systems, internet, IT in HE, learning ecosystem, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), new business models, new media literacies, NVIDIA, online media, physics, research, robotics, science, skills, society, STEAM-related, technology (general), tools, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

GTC March 2024 Keynote with NVIDIA CEO Jensen Huang

Also relevant/see:

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