AutoGPT might be the next big step in AI.
Here’s why Karpathy recently said “AutoGPT is the next frontier of prompt engineering”
AutoGPT is the equivalent of giving GPT-based models a memory and a body. You can now give a task to an AI agent and have it autonomously come up… pic.twitter.com/mYIJm2IEZy
— Lior? (@AlphaSignalAI) April 11, 2023
AutoGPT, less noise more signal
This is where you should pay attention
Here is why ?
— Linus (???) (@LinusEkenstam) April 11, 2023
AutoGPT is the next BIG thing in AI.
Seems like a new *groundbreaking* update comes out every hour.
Here are a few examples just from the past 24 hours: ?
— Barsee ? (@heyBarsee) April 12, 2023
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
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein
.
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.
AutoGPTs are improving at a blazingly fast speed and could soon transform the face of business.
Here's what you need to know:
— Nathan Lands (@NathanLands) April 12, 2023
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.
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.
.
From DSC:
Regarding the core curricula of colleges and universities…
For decades now, faculty members have taught what they wanted to teach and what interested them. They taught what they wanted to research vs. what the wider marketplace/workplace needed. They were not responsive to the needs of the workplace — nor to the needs of their students!
And this situation has been all the more compounded by the increasing costs of obtaining a degree plus the exponential pace of change. We weren’t doing a good job before this exponential pace of change started taking place — and now it’s (almost?) impossible to keep up.
The bottom line on the article below: ***It’s sales.***
Therefore, it’s about what you are selling — and at what price. The story hasn’t changed much. The narrative (i.e., the curricula and more) is pretty much the same thing that’s been sold for years.
But the days of faculty members teaching whatever they wanted to are over, or significantly waning.
Faculty members, faculty senates, provosts, presidents, and accreditors are reaping what they’ve sown.
The questions are now:
- Will new seeds be sown?
- Will new crops arise in the future?
- Will there be new narratives?
- Will institutions be able to reinvent themselves (one potential example here)? Or will their cultures not allow such significant change to take place? Will alternatives to institutions of traditional higher education continue to pick up steam?
A Profession on the Edge — from chronicle.com by Eric Hoover
Why enrollment leaders are wearing down, burning out, and leaving jobs they once loved.
Excerpts:
Similar stories are echoing throughout the hallways of higher education. Vice presidents for enrollment, as well as admissions deans and directors, are wearing down, burning out, and leaving jobs they once loved. Though there’s no way to compile a chart quantifying the churn, industry insiders describe it as significant. “We’re at an inflection point,” says Rick Clark, executive director of undergraduate admission at Georgia Tech. “There have always been people leaving the field, but not in the numbers we’re seeing now.”
Some are being shoved out the door by presidents and boards. Some are resigning out of exhaustion, frustration, and disillusionment. And some who once sought top-level positions are rethinking their ambitions. “The pressures have ratcheted up tenfold,” says Angel B. Pérez, chief executive of the National Association for College Admission Counseling, known as NACAC. “I talk with someone each week who’s either leaving the field or considering leaving.”
From DSC:
This quote points to what I’m trying to address here:
Dahlstrom and other veterans of the field say they’ve experienced something especially disquieting: an erosion of faith in the transformational power of higher education. Though she sought a career in admissions to help students, her disillusionment grew after taking on a leadership role. She became less confident that she was equipped to effect positive changes, at her institution or beyond, especially when it came to the challenge of expanding college access in a nation of socioeconomic disparities: “I felt like a cog in a huge machine that’s not working, yet continues to grind while only small, temporary fixes are made.”
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.
— tobi lutke (@tobi) March 29, 2023
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.
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.
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!
Which trends are on your radar? Fantastic resource for #HigherEducation about the changing ecology: Higher Learning Commission’s Annual Trends Report. https://t.co/Lzgph6u3lP
— Melanie Booth, Ed.D. (@boothmelanie) March 25, 2023
On the K-12 side of things:
6 Ways to Use ChatGPT to Save Time — from edutopia.org by Todd Finley
Teachers can use the artificial intelligence tool to effectively automate some routine tasks.
Excerpt:
In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.
Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions.
I’m a high school math and science teacher who uses ChatGPT, and it’s made my job much easier — from businessinsider-com.cdn.ampproject.org by Aaron Mok; with thanks to Robert Gibson on LinkedIn for this resource
Excerpt:
- Shannon Ahern, a high school math and science teacher, was afraid that ChatGPT would take her job.
- But her mind changed after she started using the AI for class prep, which saved her hours of time.
- Here’s how Ahern is using ChatGPT to make her job easier, as told to Insider’s Aaron Mok.
On the higher education side of things:
Using AI to make teaching easier & more impactful — from oneusefulthing.substack.com by Ethan Mollick
Here are five strategies and prompts that work for GPT-3.5 & GPT-4
Excerpt:
But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.
Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.
Teaching: What You Need to Know About ChatGPT — from chronicle.com by Beth McMurtrie
Excerpt:
Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.
“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.
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.
Territorium Introduces AI-Powered System to Track Skills and Competencies from K–12 to Career — from campustechnology.com by Kate Lucariello
Excerpt:
Global ed tech provider Territorium has launched LifeJourney, a suite of AI-powered tools for users to keep track of education, job skills, and career readiness capabilities. With the LifeJourney toolkit’s comprehensive individual records all in one place, students can provide quick and easily accessible information to prospective employers, according to the company. The suite of tools keeps track of progress and achievements from K–12 through higher education and career readiness.
From DSC:
This type of comprehensive learner record is a piece of the vision that I’ve been tracking at “Learning from the Living [Class] Room” — where I call it a Cloud-Based Learner Profile.
Also relevant/see:
College Accreditation 101: How It Works & Why It Matters — from business-essay.com; with thanks to Lili North for this resource
Excerpt:
Entering a prestigious college and getting a quality education is one of the top priorities for high school graduates. But how do you know if the college you are considering is really worth it?
Well, luckily, there is accreditation: a process of evaluating educational institutions. Accreditation is an important factor to consider when selecting a college: after all, unaccredited schools don’t provide you with widely recognized diplomas and can leave you with insufficient knowledge and skills.
Want to know more? You’re in the right place! This article covers the essential information every college applicant should know about accreditation.
Also relevant/see:
- Building a Microcredential Program Framework to Meet the Needs of a Changing Academic Landscape — from campustechnology.com by Justin Louder
From curriculum to technology concerns, consider these essentials for creating alternative education opportunities at your institution. - Lessons Learned from Communities Accelerating Pathways to Credentials — from accelerate-ed.org with thanks to Tom Vander Ark from GettingSmart.com for this resource
Addendum on 3/18/23:
Credentialing Everything: A Primer on Learning and Employment Records and Digital Wallets — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth
Key Points
- Credentials and learner records are accelerating the shift to competency-based learning.
- They help learners manage unbundled learning by collecting evidence from multiple providers and provide quicker and more personalized onramps to high-wage employment.
Measuring Learning Growth: Competencies and Standards — from gettingsmart.com by Nate McClennen and Rebecca Midles
Key Points
- The role of competencies has become increasingly important as employers, students and educators realize the impact of transferable skill deficit in young people.
- The challenge, however, becomes implementation.
Teaching: A University-Wide Language for Learning — from chronicle.com by Beckie Supiano
Excerpt (emphasis DSC):
Last week, as I was interviewing Shaun Vecera about a new initiative he directs at the University of Iowa, he made a comment that stopped me in my tracks. The initiative, Learning at Iowa, is meant to create a common vocabulary, based on cognitive science, to support learning across the university. It focuses on “the three M’s for effective learning”: mind-set, metacognition, and memory.
“Not because those are the wrong ways of talking about that. But when you talk about learning, I think you can easily see how these skills transfer across not just courses, but also transfer from the university into a career.”
From DSC:
This reminds me of what I was trying to get at here — i.e., let’s provide folks with more information on learning how to learn.
Also relevant/see:
Changing your teaching takes more than a recipe — — from chronicle.com by Beckie Supiano
Professors have been urged to adopt more effective practices. Why are their results so mixed?
Excerpts:
When the researchers asked their interview subjects how they first learned about peer instruction, many more cited informal discussions with colleagues than cited more formal channels like workshops. Even fewer pointed to a book or an article.
So even when there’s a really well-developed recipe, professors aren’t necessarily reading it.
…
In higher ed, teaching is often seen as something anyone who knows the content can automatically do. But the evidence suggests instead that teaching is an intellectual exercise that adds to subject-matter expertise.
This teaching-specific math knowledge, the researchers note, could be acquired in teacher preparation or professional development, however, it’s usually created on the job.
“Now, I’m much more apt to help them develop a deeper understanding of how people learn from a neuroscientific and cognitive-psychology perspective, and have them develop a model for how students learn.”
Erika Offerdahl, associate vp and director of the Transformational Change Initiative at WSU
From DSC:
I love this part too:
There’s a role here, too, for education researchers. Not every evidence-based teaching practice has been broken into its critical components in the literature,