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

 

Female scientists challenge stereotypes | Not the Science Type — from 3M.com
Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries

Excerpt:

STEM education has an access issue: let’s change that.

Around the world, people believe the we need more people in STEM careers. Eighty-seven percent of people believe we need to do more to encourage and retain girls in STEM education. At the same time, barriers remain – 73% of people believe underrepresented minorities often lack equal access STEM education.

Not The Science Type gets to the heart of access and gender inequity in STEM education and STEM fields. This four-part docuseries features four female scientists who are challenging stereotypes and confronting gender, racial and age discrimination as they rise to prominence.

Not The Science Type highlights four brilliant minds, showcasing women who break down boundaries within their fields – biology, engineering and science and technology-based applications.
.

Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries.

While each woman has taken a different path to pursue scientific excellence, they are bound by the common experience of feeling excluded, or “not the type” in traditionally homogenous fields.

 

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

 
 

“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
 
  • From DSC:
    I continue to think about the idea of wiping the slate completely clean. If we were to design a lifelong learning ecosystem, what would it look like? How could we apply Design Thinking to this new slate/canvas?

Perhaps we could start by purposefully creating more pathways to weave in and out of the various siloes — and then come back into the “silos” with new ideas, knowledge, and experiences:

  • PreK-12
  • Higher education
  • Vocational programs
  • Business and the corporate world
  • Government
  • Communities of practice
  • Other

Integrate apprenticeships, jobs, sabbaticals, rest, purpose, passions, intrinsic motivations, other into this lifelong learning ecosystem. Take one’s new learning back to one’s former silo(s) and improve things therein. Such a design would help keep curricula and learning/training environments up-to-date and relevant.

It would also allow people more pathways through their careers — and to keep learning while doing real-world projects. It would help people — and institutions— grow in many ways.

 

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 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:


 

Thriving education systems, thriving youth — from events.economist.com by Economist Impact

Some of the key topics to be discussed include:

  • What are the challenges in how we measure learning outcomes today, and how does this need to transform?
  •  What is a learning ecosystem? What does a successful learning ecosystem look like?  
  • What factors enable the development of thriving learning ecosystems?  
  • Who are the key stakeholders that make up the learning ecosystem? How do different stakeholders see their role in the learning ecosystem?
  • Which national policies need to be in place to support effective education ecosystems?
  • What information and data do we need to assess how well learning ecosystems are performing?
  • What data do we need to collect so that we don’t perpetuate traditional approaches to defining and measuring success? 

 

From DSC:
I was watching a sermon the other day, and I’m always amazed when the pastor doesn’t need to read their notes (or hardly ever refers to them). And they can still do this in a much longer sermon too. Not me man.

It got me wondering about the idea of having a teleprompter on our future Augmented Reality (AR) glasses and/or on our Virtual Reality (VR) headsets.  Or perhaps such functionality will be provided on our mobile devices as well (i.e., our smartphones, tablets, laptops, other) via cloud-based applications.

One could see one’s presentation, sermon, main points for the meeting, what charges are being brought against the defendant, etc. and the system would know to scroll down as you said the words (via Natural Language Processing (NLP)).  If you went off script, the system would stop scrolling and you might need to scroll down manually or just begin where you left off.

For that matter, I suppose a faculty member could turn on and off a feed for an AI-based stream of content on where a topic is in the textbook. Or a CEO or University President could get prompted to refer to a particular section of the Strategic Plan. Hmmm…I don’t know…it might be too much cognitive load/overload…I’d have to try it out.

And/or perhaps this is a feature in our future videoconferencing applications.

But I just wanted to throw these ideas out there in case someone wanted to run with one or more of them.

Along these lines, see:

.

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

 

Global Education Market to reach $10 Trillion by 2030 — from holoniq.com

Excerpt:

The global education market is set to reach at least $10T by 2030 as population growth in developing markets fuels a massive expansion and technology drives unprecedented re-skilling and up-skilling in developed economies. The next decade will see an additional 350 million post secondary graduates and nearly 800 million more K12 graduates than today. Asia and Africa are the driving force behind the expansion. The world needs to add 1.5 million teachers per year on average, approaching 100 million in total in order to keep pace with the unprecedented changes ahead in education around the world.

 

New Report from Global Google Research Project Considers the ‘Future of Education’ — from thejournal.com by Kristal Kuykendall
Global Trends and ‘Preparing for the Future’ Highlighted in First of Three Reports

As we march towards a radically different future, what should the role of education be and how might it look? To begin to answer this question, we collaborated with research partner Canvas8 to conduct a global study in 24 countries that synthesizes insights from 94 educational experts, two years of peer-reviewed academic literature, and a media narrative analysis across the education sector.

Excerpts:

Google for Education has released the first report from a massive, two-year study considering the role of education in a “radically different future,” and what that might look like.

Part 1 of Google’s Future of Education report focuses on big-picture themes seen as most likely to impact education and the future workforce in the coming years and decades.

Parts two and three of the Future of Education project will be released in the coming months, said Magiera, who was a K–12 classroom teacher for a decade in New York City and Chicago before working as a district leader, a chief information officer, and as an advisor for the Obama administration’s ed tech planning efforts. Part two will focus on “evolving how we teach and learn” and part three will be about “reimagining the learning ecosystems and the spaces,” she said.

Reimagining Learning Ecosystems -- by Google for Education

 

 

From DSC:
I’d like to thank Sarah Huibregtse for her post out on LinkedIn where she commented on and referenced the following item from Nicholas Thompson (CEO at The Atlantic):


Also relevant/see:


Also related/see the following item which I thank Sam DeBrule’s Machine Learnings newsletter for:


Also, somewhat related, see the following item that Julie Johnston mentioned out on LinkedIn:

Top 10 conversational AI trends for 2023 — from linkedin.com by Kane Simms and  Tim Holve, Tarren Corbett-Drummond, Arte Merritt, and Kevin Fredrick.

Excerpt:

In 2023, businesses will realise that, in order to get out of FAQ Land, they need to synchronise business systems together to deliver personalised transactional experiences for customers.

“We finally have the technologies to do all the things we imagined 10 years ago.”

 

How High School Should Change for an Era of AI and Robots — from edsurge.com by Jeffrey R. Young

Excerpt:

In other words, we have for the last century and a half in the knowledge economy been educating our students to become repositories of information—whether they’re lawyers or doctors [or engineers] and so forth. And then somebody pays them a great deal of money to extract some of that knowledge from their heads. What’s happening now is that’s being reposited in algorithms increasingly, and that’s only going to be more the case going forward, so that the most intelligent, capable medical diagnostician, I predict, will be a computer somewhere in the next 20 years.

What is the role of the doctor then? The doctor’s role is to be a knowledgeable interpreter of that algorithmic diagnosis—to check it, to make sure that there wasn’t a snafu, and to make sure that there is no social bias in the outcome. And also to help interpret that into a regimen for treatment and healing on the part of the patient in a human-connected, empathic way.

And [at Iowa Big], one of the very first questions that one of her teachers asked her was, ‘What makes you mad?’

The systems that we have for public education are becoming more rigidified, not more experimental and resilient. And they’re becoming increasingly non-functional. And I believe they’re going to face some sort of systemic collapse.

And here are several other items from the education space:

All Teacher Shortages Are Local, New Research Finds — from the74million.org by Kevin Mahnken
In a study released [on 12/1/22], researchers show that teacher vacancy levels vary drastically between schools in the same communities

Excerpt:

K-12 teacher shortages — one of the most disputed questions in education policy today — are an undeniable reality in some communities, a newly released study indicates. But they are also a hyper-local phenomenon, the authors write, with fully staffed schools existing in close proximity to those that struggle to hire and retain teachers.

The paper, circulated Thursday through Brown University’s Annenberg Institute for School Reform, uses a combination of survey responses and statewide administrative records from Tennessee to create a framework for identifying how and where teacher shortages emerge.

Why Are Americans Fleeing Public Schools? — from washingtonpost.com by John D. Harden and Steven Johnson
Seven parents on choosing private education for their kids

Excerpt:

The pandemic transformed the landscape of K-12 education. Some parents withdrew their kids from public school and placed them into private or home schools. Their reasons varied: Many preferred private schools that offered in-person instruction; others distrusted public schools’ pandemic precautions.

It’s not clear whether those trends will stick, and the factors are complex. So far, data show that since 2019, private enrollment is up, public enrollment is down and home schooling has become more popular. Families flocked to private and home schools at the greatest rate in a decade, according to American Community Survey estimates from the U.S. Census. The government projects that K-12 public school enrollment — already facing demographic pressures — will drop further to about 46 million students by fall 2030, according to the National Center for Education Statistics, reversing decades of growth.

 

 

Mississippi microschools are expanding education options for families — from spn.org by Kerry McDonald

Excerpt:

When Stephanie Harper decided to open Harper Learning Academy in Byram, Mississippi in August, her goal was to create a small, personalized educational setting in which her daughter would thrive. Conventional classroom environments weren’t a good match for Harper’s child. They also weren’t working well for the daughter of Harper’s colleague, Tekeeta Funchess. Harper and Funchess had been longtime teachers in the Jackson Public Schools before they left their jobs to provide educational consulting services to public school districts through the firm Harper founded in 2016.

As they worked together, they realized their daughters were experiencing similar challenges in standard school settings. “We’re mothers with children who learn differently who are trying to improve the system but realized that the system wasn’t working for our children,” said Harper, who is a certified teacher with a Ph.D. in education. They also suspected it wasn’t working for many other children as well.

 

10 Must Read Books for Learning Designers — from linkedin.com by Amit Garg

Excerpt:

From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment

Speaking of recommended books (but from a more technical perspective this time), also see:

10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team)
Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders

10 must-read tech books for 2023 -- from enterprisersproject.com by Katie Sanders

 

A bot that watched 70,000 hours of Minecraft could unlock AI’s next big thing — from technologyreview.com by Will Douglas Heaven
Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.

Excerpt:

OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.

The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.

The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them.

The team’s approach, called Video Pre-Training (VPT), gets around the bottleneck in imitation learning by training another neural network to label videos automatically.

Speak lands investment from OpenAI to expand its language learning platform — from techcrunch.com by Kyle Wiggers

Excerpts:

“Most language learning software can help with the beginning part of learning basic vocabulary and grammar, but gaining any degree of fluency requires speaking out loud in an interactive environment,” Zwick told TechCrunch in an email interview. “To date, the only way people can get that sort of practice is through human tutors, which can also be expensive, difficult and intimidating.”

Speak’s solution is a collection of interactive speaking experiences that allow learners to practice conversing in English. Through the platform, users can hold open-ended conversations with an “AI tutor” on a range of topics while receiving feedback on their pronunciation, grammar and vocabulary.

It’s one of the top education apps in Korea on the iOS App Store, with over 15 million lessons started annually, 100,000 active subscribers and “double-digit million” annual recurring revenue.

 

 

Is AI Generated Art Really Coming for Your Job? — from edugeekjournal.com by Matt Crosslin

Excerpt:

So, is this a cool development that will become a fun tool for many of us to play around with in the future? Sure. Will people use this in their work? Possibly. Will it disrupt artists across the board? Unlikely. There might be a few places where really generic artwork is the norm and the people that were paid very little to crank them out will be paid very little to input prompts. Look, PhotoShop and asset libraries made creating company logos very, very easy a long time ago. But people still don’t want to take the 30 minutes it takes to put one together, because thinking through all the options is not their thing. You still have to think through those options to enter an AI prompt. And people just want to leave that part to the artists. The same thing was true about the printing press. Hundreds of years of innovation has taught us that the hard part of the creation of art is the human coming up with the ideas, not the tools that create the art.

A quick comment from DSC:
Possibly, at least in some cases. But I’ve seen enough home-grown, poorly-designed graphics and logos to make me wonder if that will be the case.

 

How to Teach With Deep Fake Technology — from techlearning.com by Erik Ofgang
Despite the scary headlines, deep fake technology can be a powerful teaching tool

Excerpt:

The very concept of teaching with deep fake technology may be unsettling to some. After all, deep fake technology, which utilizes AI and machine learning and can alter videos and animate photographs in a manner that appears realistic, has frequently been covered in a negative light. The technology can be used to violate privacy and create fake videos of real people.

However, while these potential abuses of the technology are real and concerning that doesn’t mean we should turn a blind eye to the technology’s potential when using it responsibly, says Jaime Donally, a well-known immersive learning expert.

From DSC:
I’m still not sure about this one…but I’ll try to be open to the possibilities here.

 

Educators Are Taking Action in AI Education to Make Future-Ready Communities — from edsurge.com by Annie Ning

Excerpt:

AI Explorations and Their Practical Use in School Environments is an ISTE initiative funded by General Motors. The program provides professional learning opportunities for educators, with the goal of preparing all students for careers with AI.

Recently, we spoke with three more participants of the AI Explorations program to learn about its ongoing impact in K-12 classrooms. Here, they share how the program is helping their districts implement AI curriculum with an eye toward equity in the classroom.

 

Stealth Legal AI Startup Harvey Raises $5M in Round Led By OpenAI — from lawnext.com by Bob Ambrogi

Excerpt (emphasis DSC):

A hitherto stealth legal AI startup emerged from the shadows today with news via TechCrunch that it has raised $5 million in funding led by the startup fund of OpenAI, the company that developed advanced neural network AI systems such as GPT-3 and DALL-E 2.

The startup, called Harvey, will build on the GPT-3 technology to enable lawyers to create legal documents or perform legal research by providing simple instructions using natural language.

The company was founded by Winston Weinberg, formerly an associate at law firm O’Melveny & Myers, and Gabriel Pereyra, formerly a research scientist at DeepMind and most recently a machine learning engineer at Meta AI.

 
© 2025 | Daniel Christian