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.


 

How to Use Logic Pro X: The Ultimate Guide for Beginners — from soundswow.com by  Donovan Sharpe; with thanks to Yana Mogyla for this resource. Yana is the content manager at SoundsWow — “a resource blog dedicated to helping individual musicians build home recording studios.”

Excerpts:

Logic Pro X is one of the best DAWs for music creation and production. It’s an extremely capable tool that provides you with everything you need to make music professionally in any way you can dream up.

With all this power at your fingertips, getting started with Logic Pro X can be challenging if you don’t have any experience. This guide was written with beginners in mind and will direct you through all the first steps to using the app.
.

Table of contents for how to use Logic Pro X

 

How Easy Is It/Will It Be to Use AI to Design a Course? — from wallyboston.com by Wally Boston

Excerpt:

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.


Also relevant/see:

The Ultimate 100 AI Tools

The Ultimate 100 AI Tools -- as of 4-12-23


 

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!


 

Who Will Be the Academic Prompt Engineering Experts? — from wallyboston.com by Wally Boston

Excerpts:

As I mentioned in a post a month ago, prompt engineering is the term of art for prompting a generative AI tool like ChatGPT-4 to produce an answer to a question, analysis of a problem, or an essay about a particular topic.

It’s ironic that the “experts” providing prompt engineering courses are not academics. I happen to believe that there are academics mastering prompt engineering as I write this.

Last week, I wrote about generative AI tools that could be used to decrease the instructional design time required to build a college course. I also wrote an article about Villanova University professor Noah Barsky’s opinion piece suggesting that all MBA curriculums should be rewritten to teach their students how to utilize AI tools in their professions. Business schools with outdated curriculums will not prepare their graduates for businesses expecting them to be able to master state of the art AI tools.


Also relevant/see:

From DSC:
Read that again…

“In June, when students are finishing up their classes, they may be punished by their instructors for using AI as a writing tool. But in July, when they’re out on the job market, they can be punished by their employers or potential employers for not knowing how to use AI as a writing tool.”

 


Also relevant/see:

11 Tips to Take Your ChatGPT Prompts to the Next Level — from wired.com by David Nield
Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.

Excerpts:

You don’t have to do all the typing yourself when it comes to ChatGPT. Copy and paste is your friend, and there’s no problem with pasting in text from other sources.

Another way to improve the responses you get from ChatGPT is to give it some data to work with before you ask your question.

Your answers can be seriously improved if you give ChatGPT some ingredients to work with before asking for a response.

 

AI Aids In Connecting Learning and Performance Ecosystems — from learningguild.com by Markus Bernhardt and Teresa Rose

Excerpt:

The ways in which employees access information, surface answers to questions, and find the right subject matter experts is shifting and drastically improving. With this, so is access to and potential efficiency of formal learning and training.

The question is, how do these elements fuse together in the reimagined ecosystem? What will performance support, formal learning and training, or upskilling and reskilling look like when we combine the best of digital and asynchronous tools, as well as synchronous and in-person endeavors.

Power Performance with Microlearning’s Purpose and Potential — from learningguild.com by Robyn Defelice

Excerpt:

Because we are dealing in performance-based microlearning, each campaign and product will have its own purpose and potential (P&P).

The P&P are not derived from the organization’s definition but by the goals of the campaign itself.

Performance Pathways (Purpose) and Use Cases (Potential) provide opportunity to think through the alignment to a campaign goal while preparing for the design of the microlearning products.

Augmented Reality: Your Next Step Into Immersive Learning — from learningguild.com by Bill Brandon

Excerpt:

I asked Debbie Richard for her thoughts on the uses of AR and immersive learning. Debbie is the founder and president of Creative Interactive Ideas, where she helps talent development professionals thrive and flourish in their careers.

Debbie offered this reply:

“Developing an augmented reality experience is a great way for instructional designers to get started with immersive learning. There are a number of AR development applications that require little to no programming skills. All the learner will need to access the experience is a smart device.

Some great examples of using augmented reality in immersive learning are:

    • Performance support…
    • Language support…
    • Visualizations…
 

ANALYSIS: ‘Microcredentials’ poised to disrupt higher ed as degrees lose relevance to employers — from campusreform.org by Shelby Kearns; with thanks to Ray Schroeder on LinkedIn for this resource

Key points:

  • Survey respondents are demonstrating confidence in microcredentials–online training programs that take no more than six months to complete–as four-year degree programs often overlook job training.
  • ‘Grade inflation and efforts to help everyone … attend college make it harder for employers to differentiate among applicants.’
 

ChatGPT: Student insights are necessary to help universities plan for the future — from theconversation.com by Alpha Abebe and Fenella Amarasinghe

Excerpt:

In the race to get ahead of new technologies, are we forgetting about the perspectives of the most important stakeholders within our post-secondary institutions: the students?

Leaving students out of early discussions and decision-making processes is almost always a recipe for ill-fitting, ineffective and/or damaging approaches. The mantra “nothing for us without us” comes to mind here.

 


Also from Julie Sobowale, see:

  • Law’s AI revolution is here — from nationalmagazine.ca
    At least this much we know. Firms need to develop a strategy around language models.

Also re: legaltech, see:

  • Pioneers and Pathfinders: Richard Susskind — from seyfarth.com by J. Stephen Poor
    In our conversation, Richard discusses the ways we should all be thinking about legal innovation, the challenges of training lawyers for the future, and the qualifications of those likely to develop breakthrough technologies in law, as well as his own journey and how he became interested in AI as an undergraduate student.

Also re: legaltech, see:

There is an elephant in the room that is rarely discussed. Who owns the IP of AI-generated content?

 


Also relevant/see:

We have moved from Human Teachers and Human Learners, as a diad to AI Teachers and AI Learners as a tetrad.


 

Nvidia will bring AI to every industry, says CEO Jensen Huang in GTC keynote: ‘We are at the iPhone moment of AI’ — from venturebeat.com by Sharon Goldman

Excerpt:

As Nvidia’s annual GTC conference gets underway, founder and CEO Jensen Huang, in his characteristic leather jacket and standing in front of a vertical green wall at Nvidia headquarters in Santa Clara, California, delivered a highly-anticipated keynote that focused almost entirely on AI. His presentation announced partnerships with Google, Microsoft and Oracle, among others, to bring new AI, simulation and collaboration capabilities to “every industry.”

Introducing Mozilla.ai: Investing in trustworthy AI — from blog.mozilla.org by Mark Surman
We’re committing $30M to build Mozilla.ai: A startup — and a community — building a trustworthy, independent, and open-source AI ecosystem.

Excerpt (emphasis DSC):

We’re only three months into 2023, and it’s already clear what one of the biggest stories of the year is: AI. AI has seized the public’s attention like Netscape did in 1994, and the iPhone did in 2007.

New tools like Stable Diffusion and the just-released GPT-4 are reshaping not just how we think about the internet, but also communication and creativity and society at large. Meanwhile, relatively older AI tools like the recommendation engines that power YouTube, TikTok and other social apps are growing even more powerful — and continuing to influence billions of lives.

This new wave of AI has generated excitement, but also significant apprehension. We aren’t just wondering What’s possible? and How can people benefit? We’re also wondering What could go wrong? and How can we address it? Two decades of social media, smartphones and their consequences have made us leery.    

ChatGPT plugins — from openai.com

Excerpt:

Users have been asking for plugins since we launched ChatGPT (and many developers are experimenting with similar ideas) because they unlock a vast range of possible use cases. We’re starting with a small set of users and are planning to gradually roll out larger-scale access as we learn more (for plugin developers, ChatGPT users, and after an alpha period, API users who would like to integrate plugins into their products). We’re excited to build a community shaping the future of the human–AI interaction paradigm.



Bots like ChatGPT aren’t sentient. Why do we insist on making them seem like they are? — from cbc.ca by Matt Meuse
‘There’s no secret homunculus inside the system that’s understanding what you’re talking about’

Excerpt:

LLMs like ChatGPT are trained on massive troves of text, which they use to assemble responses to questions by analyzing and predicting what words could most plausibly come next based on the context of other words. One way to think of it, as Marcus has memorably described it, is “auto-complete on steroids.”

Marcus says it’s important to understand that even though the results sound human, these systems don’t “understand” the words or the concepts behind them in any meaningful way. But because the results are so convincing, that can be easy to forget.

“We’re doing a kind of anthropomorphization … where we’re attributing some kind of animacy and life and intelligence there that isn’t really,” he said.


10 gifts we unboxed at Canva Create — from canva.com
Earlier this week we dropped 10 unopened gifts onto the Canva homepage of 125 million people across the globe. Today, we unwrapped them on the stage at Canva Create.


Google Bard Plagiarized Our Article, Then Apologized When Caught — from tomshardware.com by Avram Piltch
The chatbot implied that it had conducted its own CPU tests.

 

Houses of worship to move streaming from social media to dedicated platforms — from inavateonthenet.net

Houses of worship to move streaming from social media to dedicated platforms

Excerpt:

A report by Pushpay, with data from over 1,700 organisations has found that while 91% of churches currently livestream worship services on social media, only 47% plan to do the same in the upcoming year.

The report, entitled ‘State of Church Tech 2023 is available to download here.

The reason cited for this shift is organisations’ lack of control on social media platforms to maintain engagement, as users are bombarded with pop-up windows, notifications, status updates, and more.

This is driving a rise in custom video players, website embeds, mobile app streaming, and other platforms that are better suited to maintain engagement.

 

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.

 

Designing Virtual Edtech Faculty Development Workshops That Stick: 10 Guiding Principles — from er.educause.edu by Tolulope (Tolu) Noah
These ten principles offer guidance on ways to design and facilitate effective and engaging virtual workshops that leave faculty feeling better equipped to implement new edtech tools.

Excerpt:

I share here ten guiding principles that have shaped my design and facilitation of virtual synchronous edtech workshops. These guiding principles are based on lessons learned in both my previous role as a professional learning specialist at a major technology company and my current role as a faculty developer at a university. In the spirit of James M. Lang’s book Small Teaching, my hope is that the principles shared here may prompt reflection on the small yet impactful moves academic technology specialists, instructional designers, and educational developers can make to create virtual learning experiences whereby faculty leave feeling better equipped to implement the edtech tools they have learned.


Somewhat relevant/see:

Evidence-Based Learning Design 101 — by Dr. Philippa Hardman
A practical guide on how to bake the science of learning into the art of course design

Excerpt:

As I reflect on the experience and what I’ve learned so far, I thought I’d share a response to the question I probably get asked most: what process do you use to go from an idea to a designed learning experience?

So, let’s do a rapid review of the four step process I and my bootcamp alumni use – aka the DOMS™? process – to go from zero to a designed learning experience.

 

Introducing Microsoft 365 Copilot — your copilot for work

Copilot — A whole new way to work — from news.microsoft.com

  • Copilot in Word writes, edits, summarizes and creates right alongside people as they work.
  • Copilot in PowerPoint enables the creation process by turning ideas into a designed presentation through natural language commands.
  • Copilot in Excel helps unlock insights, identify trends or create professional-looking data visualizations in a fraction of the time.
  • Copilot in Outlook can help synthesize and manage the inbox to allow more time to be spent on actually communicating.
  • Copilot in Teams makes meetings more productive with real-time summaries and action items directly in the context of the conversation.
  • Copilot in Power Platform will help developers of all skill levels accelerate and streamline development with low-code tools with the introduction of two new capabilities within Power Apps and Power Virtual Agents.
  • Business Chat brings together data from across documents, presentations, email, calendar, notes and contacts to help summarize chats, write emails, find key dates or even write a plan based on other project files.

Introducing Microsoft 365 Copilot – your copilot for work — from blogs.microsoft.com by Jared Spataro

“Today marks the next major step in the evolution of how we interact with computing, which will fundamentally change the way we work and unlock a new wave of productivity growth,” said Satya Nadella, Chairman and CEO, Microsoft. “With our new copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language.”

Introducing Microsoft 365 Copilot — A whole new way to work — from microsoft.com by Colette Stallbaumer

Excerpt:

Copilot is integrated into Microsoft 365 in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day—Word, Excel, PowerPoint, Outlook, Teams, and more—to unleash creativity, unlock productivity, and uplevel skills. Today, we’re also announcing an entirely new experience: Business Chat. Business Chat works across the LLM, the Microsoft 365 apps, and your data—your calendar, emails, chats, documents, meetings, and contacts—to do things you’ve never been able to do before. You can give it natural language prompts like “tell my team how we updated the product strategy” and it will generate a status update based on the morning’s meetings, emails, and chat threads.


A new era for AI and Google Workspace — from workspace.google.com by Johanna Voolich Wright

Excerpt:

As we embark on this next journey, we will be bringing these new generative-AI experiences to trusted testers on a rolling basis throughout the year, before making them available publicly.

With these features, you’ll be able to:

  • draft, reply, summarize, and prioritize your Gmail
  • brainstorm, proofread, write, and rewrite in Docs
  • bring your creative vision to life with auto-generated images, audio, and video in Slides
  • go from raw data to insights and analysis via auto-completion, formula generation, and
  • contextual categorization in Sheets
  • generate new backgrounds and capture notes in Meet
  • enable workflows for getting things done in Chat

Here’s a look at the first set of AI-powered features, which make writing even easier.

 
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