AI21 Labs concludes largest Turing Test experiment to date — from ai21.com
As part of an ongoing social and educational research project, AI21 Labs is thrilled to share the initial results of what has now become the largest Turing Test in history by scale.
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Webinars from Tom Barrett regarding AI for Education — a free webinar series
Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore
Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.
Democratic Inputs to AI — from openai.com
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter
Excerpts:
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.
Table of contents
Generative AI hits Adobe Photoshop!
Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years.
The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly. pic.twitter.com/TDoUM1zSiy
— Matt Wolfe (@mreflow) May 29, 2023
From DSC:
And how long before that type of interactivity is embedded into learning-related applications/games?!
Nvidia ($960B) is now worth more than:
– Facebook ($665B)
– Tesla ($618B)
– Netflix ($168B)This is a company that started 30 years ago at Denny’s and was for decades only a video game chip maker.
Here’s why Nvidia is surging: pic.twitter.com/km7pECk4Kw
— Peter Yang (@petergyang) May 27, 2023
AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning — from linkedin.com; this event by Bob Mosher features his conversation with Donald Clark
The future is already here.
The 1% who understand it will run the world.
Here’s a list of 24 top resources to get up to speed (for free):
— Misha (@mishadavinci) May 28, 2023
Bill Gates says AI is poised to destroy search engines and Amazon — from futurism.com by Victor Tangermann
Who will win the AI [competition]? (DSC: I substituted the word competition here, as that’s what it is. It’s not a war, it’s a part of America’s way of doing business.)
“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.
These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.
EdX launches ChatGPT-powered plugin, learning assistant — from edscoop.com
The online learning firm edX introduced two new tools powered by ChatGPT, the “first of many innovations” in generative AI for the platform.
The online learning platform edX introduced two new tools on Friday based on OpenAI’s ChatGPT technology: an edX plugin for ChatGPT and a learning assistant embedded in the edX platform, called Xpert.
According to the company, its plugin will enable ChatGPT Plus subscribers to discover educational programs and explore learning content such as videos and quizzes across edX’s library of 4,200 courses.
Bing is now the default search for ChatGPT — from theverge.com by Tom Warren; via superhuman.beehiiv.com
The close partnership between Microsoft and OpenAI leads to plug-in interoperability and search defaults.
Excerpt:
OpenAI will start using Bing as the default search experience for ChatGPT. The new search functionality will be rolling out to ChatGPT Plus users today and will be enabled for all free ChatGPT users soon through a plug-in in ChatGPT.
How ChatGPT Could Help or Hurt Students With Disabilities — from chronicle.com by Beth McMurtrie
Excerpt:
It’s not all on you to figure this out and have all the answers. Partner with your students and explore this together.
A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug — from edition.cnn.com by Brenda Goodman
8 YouTube Channels to Learn AI — from techthatmatters.beehiiv.com by Harsh Makadia
Artificial Intelligence and the Future of Teaching and Learning | Insights and Recommendations — with thanks to Robert Gibson on LinkedIn for this resource
Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki
Excerpts:
Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.
AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj
Excerpts:
In particular, we’re betting on four trends for AI and L&D.
In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.
…
Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.
The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor
Excerpt:
Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.
How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly
Excerpt:
With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.
The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource
Excerpts:
There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:
Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.
Excerpt:
NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.
Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.
The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.
Also relevant to the item from Nvidia (above), see:
Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource
Excerpt:
MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.
It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.
Also relevant/see:
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.
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:
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From DSC:
I want to highlight that paper from Stanford, as I’ve seen it cited several times recently:.
From DSC:
And for a rather fun idea/application of these emerging technologies, see:
…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
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!
How to Create Compelling Writing Assignments in a ChatGPT Age — from chronicle.com by James M. Lang
A recent book offers a road map to new kinds of assignments to inspire your students to write.
Excerpt:
A few days after I returned from the conference, I received a book in the mail that affirmed my newfound sense that 2023 has the potential to usher in an age of creative thinking about teaching and writing: Jessica Singer Early’s Next Generation Genres: Teaching Writing for Civic and Academic Engagement. Although her book doesn’t directly address ChatGPT, it offers exactly the kind of innovative ideas we need as we wrestle — or dance — with the implications of artificial intelligence for college teaching.
…
Clearly Jessica Singer Early has joined the leaning-into camp, seeing artificial intelligence as another invitation to reinvent ourselves in the classroom — just as she encourages readers to do in Next Generation Genres, and as this teacher plans to do in the fall.
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.
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.
