ChatGPT Creator Is Talking to Investors About Selling Shares at $29 Billion Valuation — from wsj.com by Berber Jin and Miles Kruppa
Tender offer at that valuation would make OpenAI one of the most valuable U.S. startups

Here’s how Microsoft could use ChatGPT — from The Algorithm by Melissa Heikkilä

Excerpt (emphasis DSC):

Microsoft is reportedly eyeing a $10 billion investment in OpenAI, the startup that created the viral chatbot ChatGPT, and is planning to integrate it into Office products and Bing search. The tech giant has already invested at least $1 billion into OpenAI. Some of these features might be rolling out as early as March, according to The Information.

This is a big deal. If successful, it will bring powerful AI tools to the masses. So what would ChatGPT-powered Microsoft products look like? We asked Microsoft and OpenAI. Neither was willing to answer our questions on how they plan to integrate AI-powered products into Microsoft’s tools, even though work must be well underway to do so. However, we do know enough to make some informed, intelligent guesses. Hint: it’s probably good news if, like me, you find creating PowerPoint presentations and answering emails boring.

And speaking of Microsoft and AI, also see:

I have maintained for several years, including a book ‘AI for Learning’, that AI is the technology of the age and will change everything. This is unfolding as we speak but it is interesting to ask who the winners are likely to be.

Donald Clark

The Expanding Dark Forest and Generative AI — from maggieappleton.com by
Proving you’re a human on a web flooded with generative AI content

Assumed audience:

People who have heard of GPT-3 / ChatGPT, and are vaguely following the advances in machine learning, large language models, and image generators. Also people who care about making the web a flourishing social and intellectual space.

That dark forest is about to expand. Large Language Models (LLMs) that can instantly generate coherent swaths of human-like text have just joined the party.

 

DeepMind CEO Demis Hassabis Urges Caution on AI — from time.com by Billy Perrigo

It is in this uncertain climate that Hassabis agrees to a rare interview, to issue a stark warning about his growing concerns. “I would advocate not moving fast and breaking things.”

“When it comes to very powerful technologies—and obviously AI is going to be one of the most powerful ever—we need to be careful,” he says. “Not everybody is thinking about those things. It’s like experimentalists, many of whom don’t realize they’re holding dangerous material.” Worse still, Hassabis points out, we are the guinea pigs.

Demis Hassabis 

Excerpt (emphasis DSC):

Hassabis says these efforts are just the beginning. He and his colleagues have been working toward a much grander ambition: creating artificial general intelligence, or AGI, by building machines that can think, learn, and be set to solve humanity’s toughest problems. Today’s AI is narrow, brittle, and often not very intelligent at all. But AGI, Hassabis believes, will be an “epoch-defining” technology—like the harnessing of electricity—that will change the very fabric of human life. If he’s right, it could earn him a place in history that would relegate the namesakes of his meeting rooms to mere footnotes.

But with AI’s promise also comes peril. In recent months, researchers building an AI system to design new drugs revealed that their tool could be easily repurposed to make deadly new chemicals. A separate AI model trained to spew out toxic hate speech went viral, exemplifying the risk to vulnerable communities online. And inside AI labs around the world, policy experts were grappling with near-term questions like what to do when an AI has the potential to be commandeered by rogue states to mount widespread hacking campaigns or infer state-level nuclear secrets.

AI-assisted plagiarism? ChatGPT bot says it has an answer for that — from theguardian.com by Alex Hern
Silicon Valley firm insists its new text generator, which writes human-sounding essays, can overcome fears over cheating

Excerpt:

Headteachers and university lecturers have expressed concerns that ChatGPT, which can provide convincing human-sounding answers to exam questions, could spark a wave of cheating in homework and exam coursework.

Now, the bot’s makers, San Francisco-based OpenAI, are trying to counter the risk by “watermarking” the bot’s output and making plagiarism easier to spot.

Schools Shouldn’t Ban Access to ChatGPT — from time.com by Joanne Lipman and Rebecca Distler

Excerpt (emphasis DSC):

Students need now, more than ever, to understand how to navigate a world in which artificial intelligence is increasingly woven into everyday life. It’s a world that they, ultimately, will shape.

We hail from two professional fields that have an outsize interest in this debate. Joanne is a veteran journalist and editor deeply concerned about the potential for plagiarism and misinformation. Rebecca is a public health expert focused on artificial intelligence, who champions equitable adoption of new technologies.

We are also mother and daughter. Our dinner-table conversations have become a microcosm of the argument around ChatGPT, weighing its very real dangers against its equally real promise. Yet we both firmly believe that a blanket ban is a missed opportunity.

ChatGPT: Threat or Menace? — from insidehighered.com by Steven Mintz
Are fears about generative AI warranted?

And see Joshua Kim’s A Friendly Attempt to Balance Steve Mintz’s Piece on Higher Ed Hard Truths out at nsidehighered.com | Comparing the health care and higher ed systems.

 



What Leaders Should Know About Emerging Technologies — from forbes.com by Benjamin Laker

Excerpt (emphasis DSC):

The rapid pace of change is driven by a “perfect storm” of factors, including the falling cost of computing power, the rise of data-driven decision-making, and the increasing availability of new technologies. “The speed of current breakthroughs has no historical precedent,” concluded Andrew Doxsey, co-founder of Libra Incentix, in an interview. “Unlike previous technological revolutions, the Fourth Industrial Revolution is evolving exponentially rather than linearly. Furthermore, it disrupts almost every industry worldwide.”

I asked ChatGPT to write my cover letters. 2 hiring managers said they would have given me an interview but the letters lacked personality. — from businessinsider.com by Beatrice Nolan

Key points:

  • An updated version of the AI chatbot ChatGPT was recently released to the public.
  • I got the chatbot to write cover letters for real jobs and asked hiring managers what they thought.
  • The managers said they would’ve given me a call but that the letters lacked personality.

.



 

Unschooler: Your AI Vocational Mentor — from techacute.com by Gabriel Scharffenorth

Excerpt (emphasis DSC):

AI to help realize your dream career
The Unschooler mentor helps you understand what you need to do to achieve your dream career. You can select one of six broad areas of expertise: science, people, tech, info, art, and business. The platform will then ask questions related to your future career.

It also has some other useful features. Unschooler keeps track of your skills by adding them to a skill map that’s unique to you. You can also ask it to expand on the information it has already given you. This is done by selecting the text and clicking one of four buttons: more, example, how to, explain, and a question mark icon that defines the selected text. There’s also a mobile app that analyzes text from pictures and explains tasks or concepts.

From DSC:
This integration of AI is part of the vision that I’ve been tracking at:

Learning from the living class room -- a vision that continues to develop, where the pieces are coming into place

Learning from the living [class] room
A vision that continues to develop, where the pieces are finally coming into place!

 

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from linkedin.com by Santiago Valdarrama

Excerpts:

A list for those who write code:

  1. Explaining code…
  2. Improve existing code…
  3. Rewriting code using the correct style…
  4. Rewriting code using idiomatic constructs…
  5. Simplifying code…
  6. Writing test cases…
  7. Exploring alternatives…
  8. Writing documentation…
  9. Tracking down bugs…

Also relevant/see:

A Chat With Dead Legends & 3 Forecasts: The Return of Socratic Method, Assertive Falsehoods, & What’s Investable? — from implications.com by Scott Belsky
A rare “Cambrian Moment” is upon us, and the implications are both mind blowing and equally concerning, let’s explore the impact of a few forecasts in particular.

Excerpts:

Three forecasts are becoming clear…

  • Education will be reimagined by AI tools.
  • AI-powered results will be both highly confident and often wrong, this dangerous combo of inconsistent accuracy with high authority and assertiveness will be the long final mile to overcome.
  • The defensibility of these AI capabilities as stand-alone companies will rely on data moats, privacy preferences for consumers and enterprises, developer ecosystems, and GTM advantages. (still brewing, but let’s discuss)

As I suggested in Edition 1, ChatGPT has done to writing what the calculator did to arithmetic. But what other implications can we expect here?

  • The return of the Socratic method, at scale and on-demand…
  • The art and science of prompt engineering…
  • The bar for teaching will rise, as traditional research for paper-writing and memorization become antiquated ways of building knowledge.

 

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For weekly updates on the Adobe Live schedule + insight into upcoming guests and content, join our discord communities!

Watch Adobe Live Now!

 

Education is about to radically change: AI for the masses — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth

Key Points:

  • AI already does and will continue to impact education – along with every other sector.
  • Innovative education leaders have an opportunity to build the foundation for the most personalized learning system we have ever seen.

Action

Education leaders need to consider these possible futures now. There is no doubt that K-12 and higher ed learners will be using these tools immediately. It is not a question of preventing “AI plagiarism” (if such a thing could exist), but a question of how to modify teaching to take advantage of these new tools.

From DSC:
They go on to list some solid ideas and experiments to try out — both for students and for teachers. Thanks Nate and Rachelle!


Also from Rachelle, see:


 

From DSC:
A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).


How About We Put Learning at the Center? — from insidehighered.com by John Warner
The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.

Excerpt:

So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.

If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.

Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource
AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?

Excerpt:

The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)

How to… use AI to teach some of the hardest skills — from oneusefulthing.substack.com by Ethan Mollick
When errors, inaccuracies, and inconsistencies are actually very useful

Excerpt:

Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.

This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.

NYC education department blocks ChatGPT on school devices, networks — from ny.chalkbeat.org by Michael Elsen-Rooney

Excerpt:

New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

Teachers v ChatGPT: Schools face new challenge in fight against plagiarism — from straitstimes.com by Osmond Chia; with thanks to Stephen Downes for this resource

Excerpt:

SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.

This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.

ChatGPT Is Not Ready to Teach Geometry (Yet) — from educationnext.org by Paul T. von Hippel
The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.

Excerpt:

Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.

Here, I’ll show you.


Addendum on 1/9/23:

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from .linkedin.com by Santiago Valdarrama

A list for those who write code:

  1. 1. Explaining code…
  2. Improve existing code…
  3. Rewriting code using the correct style…
  4. Rewriting code using idiomatic constructs…
  5. Simplifying code…
  6. Writing test cases…
  7. Exploring alternatives…
  8. Writing documentation…
  9. Tracking down bugs…
 

Teaching: Will ChatGPT Change the Way You Teach? — from Chronicle.com by Beth McMurtrie

Excerpt:

Want to get involved in the conversation around AI writing tools? Here are a few resources you might find helpful.

Anna Mills has put together several documents:

Elsewhere, a group of professors is compiling examples of how instructors are using text generation technologies in their assignments. The results will be published in an open-access collection. You can find out more about the project on this site, Teaching with Text Generation Technologies.

If you’re rather listen to a discussion, here are a couple of webinars:

 

 

The Difference Between ‘Playtime’ + ‘Production’ for AI + Legal Tech — from by Jim Wagner, CEO, Lean Law Labs.

Excerpt:

It’s fascinating to see what GPT-3 can do and the possibilities are in some cases nothing short of mind blowing. But before you plan your early 2023 implementation, you may want to exercise a bit of caution.  When it comes to using AI in a production environment – i.e., serving real customers with real expectations – you need solutions that deliver reliable results that you can explain to your clients … and potentially to a lot of other stakeholders, including courts and regulatory authorities.

Maybe in 2023 you can also try this line: ‘Dear client / court / regulator, we know it’s hard to believe, but a lot of the time you can rely on what we tell you.’

NOTE: Artificial Lawyer and its Founder are
now on sabbatical during 2023, returning in 2024.

From DSC:
My guess is that they are pursuing some serious, new opportunities involving using AI within the legaltech realm. Time will tell.

 

From DSC:
Check out the items below. As with most technologies, there are likely going to be plusses & minuses regarding the use of AI in digital video, communications, arts, and music.



Also see:


Also somewhat relevant, see:

 

The Edge Newsletter from Goldie Blumenstyk

Subject: The Edge: Today’s Issues in Schools; Tomorrow’s Higher-Ed Challenges

Excerpts:

Issues like chronic absenteeism in big urban and rural districts, the impact of classroom shootings on kids, and schools’ struggles to handle teenagers’ mental-health challenges might not be day-to-day concerns for college leaders and those who work with them. But these will matter to higher ed in the not-so-distant future, as those K-to-12 students make their way to college. And they could matter even more if those students don’t ever even make it to college.

Words of wisdom:

Those of us who might be a little higher-ed siloed in our thinking on education would do well to widen our perspective. 

From DSC:
And it isn’t just about the impacts of COVID-19 either — though those things are very important. We would do well to get out of our siloes and practice some high-level design thinking to implement a cradle-to-grave, lifelong learning ecosystem. The vocational and corporate training worlds are highly relevant here as well.

 

 


Also relevant/see:

 

94% of Consumers are Satisfied with Virtual Primary Care — from hitconsultant.net

Excerpt from What You Should Know (emphasis DSC):

  • For people who have used virtual primary care, the vast majority of them (94%) are satisfied with their experience, and nearly four in five (79%) say it has allowed them to take charge of their health. The study included findings around familiarity and experience with virtual primary care, virtual primary care and chronic conditions, current health and practices, and more.
  • As digital health technology continues to advance and the healthcare industry evolves, many Americans want the ability to utilize more digital methods when it comes to managing their health, according to a study recently released by Elevance Health — formerly Anthem, Inc. Elevance Health commissioned to conduct an online study of over 5,000 US adults age 18+ around virtual primary care.
 

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 — 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):

  1. GPT-4 will be released in the next couple months—and yes, it will be a big deal.
  2. We are going to start running out of data to train large language models.
  3. For the first time, some members of the general public will begin using fully driverless cars as their day-to-day mode of transportation.
  4. Midjourney will raise venture capital funding.
  5. 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.

.

 

From DSC:
The following article made me again wonder about the place of technology in the access to justice realm.


Legal Tech Startup Lexion Tasks GPT-3 to Help Draft Contracts in Microsoft Word — from voicebot.ai by Eric Hal Schwartz

Excerpt:

Lawyers can ask GPT-3 to help write contracts in Microsoft Word thanks to legal tech startup Lexion’s new AI Contract Assist Word plugin. The new tool offers assistance in drafting and negotiating terms, as well as summarizing the contract for those not versed in legal language and marks the growing interest in applying generative AI within the legal profession.

Lexion’s AI Contract Assistant is designed to compose, adjust, and explain contracts with an eye toward streamlining their creation and approval. Lawyers with the Word plugin can write a prompt describing the goal of a contract clause, and the AI will generate one with appropriate language. 

 
© 2024 | Daniel Christian