Also relevant/see:
On 05/02/2023,
in 21st century, 24x7x365 access, Adobe, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, business, computer science, corporate / business world, design, experimentation, graphics, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, learning agents, learning ecosystem, programming,
by Daniel Christian
Work Shift: How AI Might Upend Pay — from bloomberg.com by Jo Constantz
Excerpt:
This all means that a time may be coming when companies need to compensate star employees for their input to AI tools rather than their just their output, which may not ultimately look much different from their AI-assisted colleagues.
“It wouldn’t be far-fetched for them to put even more of a premium on those people because now that kind of skill gets amplified and multiplied throughout the organization,” said Erik Brynjolfsson, a Stanford professor and one of the study’s authors. “Now that top worker could change the whole organization.”
Of course, there’s a risk that companies won’t heed that advice. If AI levels performance, some executives may flatten the pay scale accordingly. Businesses would then potentially save on costs — but they would also risk losing their top performers, who wouldn’t be properly compensated for the true value of their contributions under this system.
US Supreme Court rejects computer scientist’s lawsuit over AI-generated inventions — from reuters.com by Blake Brittain
Excerpt:
WASHINGTON, April 24 – The U.S. Supreme Court on Monday declined to hear a challenge by computer scientist Stephen Thaler to the U.S. Patent and Trademark Office’s refusal to issue patents for inventions his artificial intelligence system created.
The justices turned away Thaler’s appeal of a lower court’s ruling that patents can be issued only to human inventors and that his AI system could not be considered the legal creator of two inventions that he has said it generated.
Deep learning pioneer Geoffrey Hinton has quit Google — from technologyreview.com by Will Douglas Heaven
Hinton will be speaking at EmTech Digital on Wednesday.
Excerpt:
Geoffrey Hinton, a VP and engineering fellow at Google and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI, is leaving the company after 10 years, the New York Times reported today.
According to the Times, Hinton says he has new fears about the technology he helped usher in and wants to speak openly about them, and that a part of him now regrets his life’s work.
***
In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.
— Geoffrey Hinton (@geoffreyhinton) May 1, 2023
What Is Agent Assist? — from blogs.nvidia.com
Agent assist technology uses AI and machine learning to provide facts and make real-time suggestions that help human agents across retail, telecom and other industries conduct conversations with customers.
Excerpt:
Agent assist technology uses AI and machine learning to provide facts and make real-time suggestions that help human agents across telecom, retail and other industries conduct conversations with customers.
It can integrate with contact centers’ existing applications, provide faster onboarding for agents, improve the accuracy and efficiency of their responses, and increase customer satisfaction and loyalty.
From DSC:
Is this type of thing going to provide a learning assistant/agent as well?
A chatbot that asks questions could help you spot when it makes no sense — from technologyreview.com by Melissa Heikkilä
Engaging our critical thinking is one way to stop getting fooled by lying AI.
Excerpt:
AI chatbots like ChatGPT, Bing, and Bard are excellent at crafting sentences that sound like human writing. But they often present falsehoods as facts and have inconsistent logic, and that can be hard to spot.
One way around this problem, a new study suggests, is to change the way the AI presents information. Getting users to engage more actively with the chatbot’s statements might help them think more critically about that content.
Stability AI releases DeepFloyd IF, a powerful text-to-image model that can smartly integrate text into images — from stability.ai
New AI Powered Denoise in PhotoShop — from jeadigitalmedia.org
In the most recent update, Adobe is now using AI to Denoise, Enhance and create Super Resolution or 2x the file size of the original photo. Click here to read Adobe’s post and below are photos of how I used the new AI Denoise on a photo. The big trick is that photos have to be shot in RAW.
On 04/13/2023,
in 21st century, architecture, Artificial Intelligence/Agents/LLMs/and Related, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, education technology, emerging technologies, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning ecosystem, learning spaces, Natural Language Processing (NLP), simulations, skills, society, tools, training / L&D, vision/possibilities, voice recognition / voice enabled interfaces,
by Daniel Christian
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
On 04/13/2023,
in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, credentialing, education, education reform, experimentation, future, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, pathways, personalized/customized learning, platforms, professional development, reinvent, skills, society, student-related, training / L&D, United States, universities, vendors, virtual K-12 schools, vision/possibilities, workplace, youth,
by Daniel Christian
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.
On 04/12/2023,
in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, communities of practice, content development, aggregation, repositories, copyright/ownership/NFTs, corporate / business world, corporate universities / corporate training, creativity, digital audio, digital storytelling, digital video, disruption, drama/theater, education technology, educational games / serious games, emerging technologies, Emotion, engagement / engaging students, entrepreneurship, experimentation, future, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning Experience Design, legislatures / government / legal, liberal arts, media/film, multimedia, new business models, online media, platforms, presentations, productivity / tips and tricks, skills, story, storytelling, teaching & learning, tools, training / L&D, United States, universities, vision/possibilities, webinars,
by Daniel Christian
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!
On 04/03/2023,
in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, experimentation, future, game-changing environment, global / globalization, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, leadership, learning ecosystem, Learning Experience Design, legislatures / government / legal, Microsoft, Natural Language Processing (NLP), personalized/customized learning, platforms, society, the downsides of how people use tech, trends, United States, vendors, vision/possibilities,
by Daniel Christian
Also relevant/see:
Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark
From Ethan Mollick on LinkedIn:
Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”
Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)
I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning
I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.
On 03/27/2023,
in 21st century, 24x7x365 access, change, colleges, community colleges, digital learning, education technology, experimentation, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning ecosystem, Learning from the Living [Class] Room, personalized/customized learning, trends, ubiquitous learning, UK, universities, vendors, vision/possibilities,
by Daniel Christian
A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify
Excerpts (emphasis DSC):
Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.
…
Automation, or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.
Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.
From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.
On 03/21/2023,
in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, art, Artificial Intelligence/Agents/LLMs/and Related, business, cloud-based computing / apps / other cloud-related, collaboration, content development, aggregation, repositories, corporate / business world, creativity, design, emerging technologies, engineering, entrepreneurship, Facebook / Meta Platforms, future, game-changing environment, generational differences, Holographic comms, human-computer interaction (HCI), immersion, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, media/film, Metaverse, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, pace of change, personalized/customized learning, platforms, society, technology (general), tools, United States, user experience (UX), vendors, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, web-based collaboration, Web3, workplace,
by Daniel Christian
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.