Artificial Intelligence/Agents/LLMs/and Related

In 2023, we are going to a huge increase in content creation generated by AI avatars. The use cases the infinite – from demos and tutorials to billboards and even ads.

? Here are 6 companies that are currently defining the future of content creation:

— Bardeen (@bardeenai) December 30, 2022

GPT Takes the Bar Exam — from papers.ssrn.com by Michael James Bommarito and Daniel Martin Katz; with thanks to Gabe Teninbaum for his tweet on this

Excerpt from the Abstract (emphasis DSC):

While our ability to interpret these results is limited by nascent scientific understanding of LLMs and the proprietary nature of GPT, we believe that these results strongly suggest that an LLM will pass the MBE component of the Bar Exam in the near future.

LLM — Large Language Model
MBE — Multistate Bar Examination

What’s next for AI [Heikkilä and Douglas Heaven] + several other items re: AI and the future

On 12/29/2022, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, future, game-changing environment, Google, human-computer interaction (HCI), tools, trends, by Daniel Christian

What’s next for AI — from technologyreview.com by Melissa Heikkilä and Will Douglas Heaven
Get a head start with our four big bets for 2023.

Excerpts:

But take the conversational skills of ChatGPT and mix them up with image manipulation in a single model and you’d get something a lot more general-purpose and powerful. Imagine being able to ask a chatbot what’s in an image, or asking it to generate an image, and have these interactions be part of a conversation so that you can refine the results more naturally than is possible with DALL-E.

10 AI Predictions For 2023 — from forbes.com by Rob Toews

Excerpts (emphasis DSC):

GPT-4 will be released in the next couple months—and yes, it will be a big deal.
We are going to start running out of data to train large language models.
For the first time, some members of the general public will begin using fully driverless cars as their day-to-day mode of transportation.
Midjourney will raise venture capital funding.
Search will change more in 2023 than it has since Google went mainstream in the early 2000s.

AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions — from forbes.com by Ganes Kesari

Excerpt:

To understand the top AI trends, I asked industry leaders and academic experts five questions. It’s the age of human-machine collaboration, so what better way to demonstrate this than by asking AI software about the 2023 AI trends it’s excited about? I did that too.
…

1. What do you think was the biggest achievement in the AI space in 2022?
2. What’s the most exciting AI trend that you look forward to materializing in 2023?
3. What’s a fad in this space that you wish would go away next year?
4. To get value from AI, what’s one thing that leaders can start doing today that doesn’t take big effort or money?
5. What’s one thing that leaders should stop doing immediately to realize benefits from AI?

Is A.I. the Future of Test Prep? — from nytimes.com by Craig S. Smith (NOTE: Paywall)

Excerpt:

Riiid is one of a handful of companies that believe that A.I.’s algorithms are perfectly suited to track student performance and give individualized attention.

“Education is a complex field deeply related to cognition, motivation, peer interaction, etc.,” Mr. Jang wrote in an email. “We draw insights from learning science, cognitive biology, data science, and other related areas of research for an iterative experimentation process that is challenging and time consuming — that’s why there are only a few players in the market.”

Artificial intelligence predictions 2023 — from information-age.com by Tim Adler
2023 could be the year that artificial intelligence moves from the fringes into the mainstream, as AI becomes widely adopted by healthcare, travel and banking. Five experts give their predictions

Excerpt:

Worldwide spending on artificial intelligence will hit half a billion dollars this year, according to IDC. Five artificial intelligence experts give Information Age their predictions as to how adoption of AI will accelerate in 2023.

.

The AI explosion is warping our sense of time. Can you believe Stable Diffusion is only 4 months old, and ChatGPT <4 weeks old ?? If you blink, you miss a whole new industry. Here are my TOP 10 AI spotlights, from a breathtaking 2022 in rewind ?: a long thread ? pic.twitter.com/5k8Q6VQ0tD

— Jim Fan (@DrJimFan) December 27, 2022

From DSC:
Check this confluence of emerging technologies out!

Natural language interfaces have truly arrived. Here’s ChatARKit: an open source demo using #chatgpt to create experiences in #arkit. How does it work? Read on. (1/) pic.twitter.com/R2pYKS5RBq

— Bart Trzynadlowski (@BartronPolygon) December 21, 2022

Also see:

The Future of Education Using AR

via @gigadgets_ #AR #AugmentedReality #MR #mixedreality #ai #technology #vr #virtualreality #innovation #edtech #tech #future #medtech #healthtech #education #iot #teacher #classroom #mi #futurism #digitalasset #edutech pic.twitter.com/ZOP0l2kkoR

— Fred Steube (@steube) December 23, 2022

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?
…
“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
…
“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

ChatGPT and The Professional’s Guide to Using AI [Miller]

On 12/22/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, microlearning, online tutoring, productivity / tips and tricks, professional development, society, teachers, teaching & learning, technologies for your home, tools, training / L&D, universities, virtual tutoring, vision/possibilities, writing, by Daniel Christian

ChatGPT and The Professional’s Guide to Using AI — from linkedin.com by Allie K. Miller

Excerpt:

Real Ways Professionals Can Use ChatGPT to Improve Job Performance
Let’s dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

Help with grading and feedback on student work.
Example prompt: “Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]”
Create personalized learning materials.
Example prompt: “Help me explain photosynthesis to a 10th grade student in a way similar to sports.”
Generate lesson plans and activities.
Example prompt: “Create an activity for 50 students that revolves around how to learn the different colors of the rainbow.” or “Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period.”
Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI’s work to make it better.
Example prompt: “Generate a 5th grade level short essay about Maya Angelou and her work.”
Providing one-on-one support to students.
Example prompt: “How can I best empower an introverted student in my classroom during reading time?”

From DSC:
I haven’t tried these prompts. Rather I post this because I’m excited about the potential of Artificial Intelligence (AI) to help people teach and to help people to learn.

Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

Connected Digital Care
AI In Healthcare
Real-World Patient Engagement In Healthcare
Increase Security For Digital And Health Data
Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

Automated software development
Automated content and commerce
Enterprise governance, risk, sustainability and security
Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

“NextGen Justice Tech: What regulatory reform could mean for justice tech” [Sonday] + other legal-related items

On 12/22/2022, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, copyright/ownership/NFTs, emerging technologies, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, by Daniel Christian

NextGen Justice Tech: What regulatory reform could mean for justice tech — from thomsonreuters.com Kristen Sonday

Excerpts (emphasis DSC):

One year in, the Utah Supreme Court had approved 30 companies, including those that created initiatives to provide individuals help completing court forms and receiving legal advice via chatbot.
…
The ruling is monumental because it allows legal professionals to provide guidance on completing legal forms that might be applied to other areas of law, including through online tools that can reach exponentially more individuals.

“By ruling in favor of Upsolve, the Southern District of New York… established a new First Amendment right in America: the right for low-income families to receive free, vetted, and accountable legal advice from professionals who aren’t lawyers,” said Rohan Pavuluri, Upsolve’s Co-Founder and CEO.

UChicago Medicine partners with legal aid lawyers to offer legal help to victims of violence — from abajournal.com by Debra Cassens Weiss

Excerpt:

The University of Chicago Medicine is working with Legal Aid Chicago to embed lawyers at the system’s trauma center in Chicago’s Hyde Park neighborhood to help victims of violence.

Legal AI: A Lawyer’s New Best Friend? — from legaltechmonitor.com by Stephen Embry

Excerpt:

The real question AI poses for the legal profession, says Susskind, is to what extent machines can be used to reduce uncertainty posed by problems. The fundamental question, says Susskind, is thus what problems lawyers are currently trying to solve that machines can solve better and quicker. The lawyer’s job in the future will be to focus on what clients really want: outcomes. Machines can’t provide outcomes, only reduce the uncertainty surrounding the potential outcomes, according to Susskind.

What Does Copyright Say about Generative Models? Not much. — from oreilly.com by Mike Loukides

Excerpt:

Ultimately we need both solutions: fixing copyright law to accommodate works used to train AI systems, and developing AI systems that respect the rights of the people who made the works on which their models were trained. One can’t happen without the other.

‘Complicit bias’ and ‘lawfare’ among top new legal terms in 2022 — from abajournal.com by Debra Cassens Weiss

Excerpt:

“Complicit bias” tops a list of new legal terms and expressions in 2022 compiled by law professors and academics who are on a committee for Burton’s Legal Thesaurus.

Law360 has a story on the top new terms and their meanings. According to the story, “complicit bias” refers to “an institution or community’s complicity in sustaining discrimination and harassment.”

Law360 listed 10 top legal terms, including these:

Why 2023 Will Be The Year of AI + My First Music Video — from legallydisrupted.com by Zach Abramowitz
ChatGPT Did Not Write This Song

#ChatGPT is the future of #legaltech https://t.co/CzG5uNWAur #breathless cc @LexionAi

— Zach Abramowitz (@ZachAbramowitz) December 21, 2022

How Skills Are Disrupting Work: The Transformational Power of Fast-Growing, In-Demand Skills — from burningglassinstitute.org by Nik Dawson, Alexandra Martin, Matt Sigelman, Gad Levanon, Stephanie Blochinger, Jennifer Thornton, and Janet Chen
A “State of Skills” Report from the Burning Glass Institute, the Business-Higher Education Forum, and Wiley

On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.

Excerpt:
By analyzing hundreds of millions of recent U.S. job postings, the Burning Glass Institute and the Business–Higher Education Forum (BHEF) identified four of the fastest-growing, highest-demand emerging skill sets:

Artificial Intelligence/Machine Learning
Cloud Computing
Product Management
Social Media

These four skill sets serve as a laboratory for understanding what business and education leaders can do to prepare workers and students for skills disruption. To illustrate how programs can help learners and workers acquire essential skills, this report includes profiles of recent innovations from the BHEF network.

The future belongs to those who seek to understand, anticipate, and harness the power of emerging skills, rather than maintain a posture of reaction/response.
…
The prospect of helping all those who are challenged by skill disruption hinges on the readiness of business and higher education to engage in understanding and planning for skill disruption over the long term.

From DSC:
“On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.” That’s what I’m talking about when I talk about the exponential pace of change. It’s hard to deal with. Our institutions of education are not used to this pace of change. Our legal system isn’t used to this pace of change. And there are other industries struggling to keep up.

Should the pace of change be an element of our design when we think about using Design Thinking to create a new lifelong learning ecosystem?

ChatGPT, Chatbots and Artificial Intelligence in Education — from ditchthattextbook.com by Matt Miller
AI just stormed into the classroom with the emergence of ChatGPT. How do we teach now that it exists? How can we use it? Here are some ideas.

Excerpt:
Now, we’re wondering …

What is ChatGPT? And, more broadly, what are chatbots and AI?
How is this going to impact education?
How can I teach tomorrow knowing that this exists?
Can I use this as a tool for teaching and learning?
Should we block it through the school internet filter — or try to ban it?

Also relevant/see:

We gave ChatGPT a college-level microbiology quiz. It blew the quiz away. — from bigthink.com by Dr. Alex Berezow
ChatGPT’s capabilities are astonishing.

Key takeaways:

The tech world is abuzz over ChatGPT, a chat bot that is said to be the most advanced ever made.
It can create poems, songs, and even computer code. It convincingly constructed a passage of text on how to remove a peanut butter sandwich from a VCR, in the voice of the King James Bible.
As a PhD microbiologist, I devised a 10-question quiz that would be appropriate as a final exam for college-level microbiology students. ChatGPT blew it away.

ChatGPT Is Dumber Than You Think — from theatlantic.com by Ian Bogost
Treat it like a toy, not a tool.

Excerpt:

On the one hand, yes, ChatGPT is capable of producing prose that looks convincing. But on the other hand, what it means to be convincing depends on context. The kind of prose you might find engaging and even startling in the context of a generative encounter with an AI suddenly seems just terrible in the context of a professional essay published in a magazine such as The Atlantic. And, as Warner’s comments clarify, the writing you might find persuasive as a teacher (or marketing manager or lawyer or journalist or whatever else) might have been so by virtue of position rather than meaning: The essay was extant and competent; the report was in your inbox on time; the newspaper article communicated apparent facts that you were able to accept or reject.

I Would Have Cheated in College Using ChatGPT — from eliterate.us by Michael Feldstein

Excerpt:

These lines of demarcation—the lines between when a tool can do all of a job, some of it, or none of it—are both constantly moving and critical to watch. Because they define knowledge work and point to the future of work. We need to be teaching people how to do the kinds of knowledge work that computers can’t do well and are not likely to be able to do well in the near future. Much has been written about the economic implications to the AI revolution, some of which are problematic for the employment market. But we can put too much emphasis on that part. Learning about artificial intelligence can be a means for exploring, appreciating, and refining natural intelligence. These tools are fun. I learn from using them. Those two statements are connected.

Google to Rival OpenAI’s ChatGPT? New AI Bot for Chats in 2023, CEO Claims to Use it for Search — from techtimes.com by Isaiah Richard
Google to expand its Search engine with AI for 2023, but not in a creepy way.

Excerpt:

Google is planning to create a new AI feature for its Search engine, one that would rival the recently released and controversial ChatGPT from OpenAI. The company revealed this after a recent Google executive meeting that involved the likes of its CEO Sundar Pichai and AI head, Jeff Dean, that talked about the technology that the internet company already has, soon for development.

Employees from the Mountain View giant were concerned that it was behind the current AI trends to the likes of OpenAI despite already having a similar technology laying around.

And more focused on the business/vocational/corporate training worlds:

Sana raises $34M for its AI-based knowledge management and learning platform for workplaces — from techcrunch.com by Ingrid Lunden

There are a lot of knowledge management, enterprise learning and enterprise search products on the market today, but what Sana believes it has struck on uniquely is a platform that combines all three to work together: a knowledge management-meets-enterprise-search-meets-e-learning platform.

Exclusive: ChatGPT owner OpenAI projects $1 billion in revenue by 2024 — from reuters.com by Jeffrey Dastin, Krystal Hu, and Paresh Dave

Excerpt:

Three sources briefed on OpenAI’s recent pitch to investors said the organization expects $200 million in revenue next year and $1 billion by 2024.

The forecast, first reported by Reuters, represents how some in Silicon Valley are betting the underlying technology will go far beyond splashy and sometimes flawed public demos.

“We’re going to see advances in 2023 that people two years ago would have expected in 2033. It’s going to be extremely important not just for Microsoft’s future, but for everyone’s future,” he said in an interview this week.

Addendum on 12/21/22:

ChatGPT and higher education: last week and this week — from bryanalexander.org by Bryan Alexander

The talent needed to adopt mobile AR in industry — from chieflearningofficer.com by Yao Huang Ph.D.

Excerpt:

Therefore, when adopting mobile AR to improve job performance, L&D professionals need to shift their mindset from offering training with AR alone to offering performance support with AR in the middle of the workflow.

The learning director from a supply chain industry pointed out that “70 percent of the information needed to build performance support systems already exists. The problem is it is all over the place and is available on different systems.”

It is the learning and development professional’s job to design a solution with the capability of the technology and present it in a way that most benefits the end users.

All participants revealed that mobile AR adoption in L&D is still new, but growing rapidly. L&D professionals face many opportunities and challenges. Understanding the benefits, challenges and opportunities of mobile AR used in the workplace is imperative.

A brief insert from DSC:
Augmented Reality (AR) is about to hit the mainstream in the next 1-3 years. It will connect the physical world with the digital world in powerful, helpful ways (and likely in negative ways as well). I think it will be far bigger and more commonly used than Virtual Reality (VR). (By the way, I’m also including Mixed Reality (MR) within the greater AR domain.) With Artificial Intelligence (AI) making strides in object recognition, AR could be huge.

Learning & Development groups should ask for funding soon — or develop proposals for future funding as the new hardware and software products mature — in order to upskill at least some members of their groups in the near future.

As within Teaching & Learning Centers within higher education, L&D groups need to practice what they preach — and be sure to train their own people as well.

ChatGPT is changing the game, and I want to share real things you can do with this AI system today.

Please save this thread and start testing this technology NOW so you’re ahead of the curve.

— Allie K. Miller (@alliekmiller) December 13, 2022

“Tech predictions for 2023 and beyond” — from allthingsdistributed.com by Werner Vogels, Chief Technology Officer at Amazon

Excerpts:

Prediction 1: Cloud technologies will redefine sports as we know them
Prediction 2: Simulated worlds will reinvent the way we experiment
Prediction 3: A surge of innovation in smart energy
Prediction 4: The upcoming supply chain transformation
Prediction 5: Custom silicon goes mainstream

AI bot ChatGPT stuns academics with essay-writing skills and usability [Hern]

On 12/14/2022, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, IT in HE, law schools, learning ecosystem, Learning Experience Design, Microsoft, online media, open courseware and systems, platforms, productivity / tips and tricks, programming, the downsides of how people use tech, tools, UK, United States, universities, vendors, writing, by Daniel Christian

AI bot ChatGPT stuns academics with essay-writing skills and usability — from theguardian.com by Alex Hern
Latest chatbot from Elon Musk-founded OpenAI can identify incorrect premises and refuse to answer inappropriate requests

Excerpt:

Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.

The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.

In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality.

Also related/see:

AI and the future of undergraduate writing — from chronicle.com by Beth McMurtrie

Excerpts:

Is the college essay dead? Are hordes of students going to use artificial intelligence to cheat on their writing assignments? Has machine learning reached the point where auto-generated text looks like what a typical first-year student might produce?

And what does it mean for professors if the answer to those questions is “yes”?
…
Scholars of teaching, writing, and digital literacy say there’s no doubt that tools like ChatGPT will, in some shape or form, become part of everyday writing, the way calculators and computers have become integral to math and science. It is critical, they say, to begin conversations with students and colleagues about how to shape and harness these AI tools as an aide, rather than a substitute, for learning.

“Academia really has to look at itself in the mirror and decide what it’s going to be,” said Josh Eyler, director of the Center for Excellence in Teaching and Learning at the University of Mississippi, who has criticized the “moral panic” he has seen in response to ChatGPT. “Is it going to be more concerned with compliance and policing behaviors and trying to get out in front of cheating, without any evidence to support whether or not that’s actually going to happen? Or does it want to think about trust in students as its first reaction and building that trust into its response and its pedagogy?”

ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.

it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.

— Sam Altman (@sama) December 11, 2022

fun creative inspiration; great! reliance for factual queries; not such a good idea.

we will work hard to improve!

— Sam Altman (@sama) December 11, 2022

1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence – which reflects the data they’re trained on – makes them more likely to mislead.

— Andrew Ng (@AndrewYNg) December 13, 2022

ChatGPT Could Be AI’s iPhone Moment — from bloomberg.com by Vlad Savov; with thanks to Dany DeGrave for his Tweet on this

Excerpt:

The thing is, a good toy has a huge advantage: People love to play with it, and the more they do, the quicker its designers can make it into something more. People are documenting their experiences with ChatGPT on Twitter, looking like giddy kids experimenting with something they’re not even sure they should be allowed to have. There’s humor, discovery and a game of figuring out the limitations of the system.

And on the legal side of things:

In the legal education context, I’ve been playing around with generating fact patterns and short documents to use in exercises.

— Rebecca Fordon (@theFordon) December 9, 2022

Radar Trends to Watch: December 2022 [Loukides]

On 12/10/2022, in art, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, collaboration, computer science, content development, aggregation, repositories, copyright/ownership/NFTs, cryptocurrencies, emerging technologies, Facebook / Meta Platforms, IBM, internet, programming, social learning / networks, social media, by Daniel Christian

Radar Trends to Watch: December 2022 — from oreilly.com by Mike Loukides
Developments in Security, Cryptocurrency, Web, and More

Excerpt:

This month’s news has been overshadowed by the implosion of SBF’s TFX and the possible implosion of Elon Musk’s Twitter. All the noise doesn’t mean that important things aren’t happening. Many companies, organizations, and individuals are wrestling with the copyright implications of generative AI. Google is playing a long game: they believe that the goal isn’t to imitate art works, but to build better user interfaces for humans to collaborate with AI so they can create something new. Facebook’s AI for playing Diplomacy is an exciting new development. Diplomacy requires players to negotiate with other players, assess their mental state, and decide whether or not to honor their commitments. None of these are easy tasks for an AI. And IBM now has a 433 Qubit quantum chip–an important step towards making a useful quantum processor.

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