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.
.
? So much has happened in the world of AI these past 7 days.
It’s going to change many industries you thought you knew.
12 recent AI developments that are not just reshaping the industry, but our everyday lives:
— Barsee ? (@heyBarsee) May 30, 2023
From DSC:
I also wanted to highlight the item below, which Barsee also mentioned above, as it will likely hit the world of education and training as well:
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
Also relevant/see:
The perils of consulting an Electric Monk — from jordanfurlong.substack.com by Jordan Furlong
Don’t blame ChatGPT for the infamous incident of the made-up cases. And don’t be too hard on the lawyer, either. We’re all susceptible to a machine that tells us exactly what we want to hear.
Excerpt:
But then the “ChatGPT Lawyer” story happened, and all hell broke loose on LawTwitter and LawLinkedIn, and I felt I needed to make three points, one of which involves an extra-terrestrial robot.
My first two points are pretty straightforward:
Are you looking for evidence to support the side that’s hired you? Or are you looking for the truth? Choosing the first option has never been easier. It’s also never been more dangerous.
As referenced topic-wise by Jordan above, also see:
A lawyer used ChatGPT to prepare a court filing. It went horribly awry. — from cbsnews.com by Megan Cerullo
What I learned at CLOC 2023 — from alexofftherecord.com by Alex Su
This week I attended the premier legal operations conference. Here’s what I heard.
Excerpt:
Theme 1: Generative AI isn’t going anywhere
This was a huge theme throughout the conference. Whether it was vendors announcing GPT integrations, or panels discussing how to use AI, there was just an enormous amount of attention on generative AI. I’m certainly no stranger to all this hype, but I’d always wondered if it was all from my Silicon Valley bubble. It wasn’t.
What was driving all this interest in AI? Well, the ubiquity of ChatGPT. Everyone’s talking about it and trying to figure out how to incorporate it into the business. And not just in the U.S. It’s a worldwide trend. Word on the street is that it’s a CEO-level priority. Everywhere. So naturally it trickles down to the legal department.
We need to talk about ChatGPT — from mnbar.org by Damien Riehl
Excerpt:
Personal experience and anecdotal evidence indicate that LLMs’ current state provides impressive output in various legal tasks. Specifically, they provide extraordinary results on the following:
Corporate legal departments see use cases for generative AI & ChatGPT, new report finds — from thomsonreuters.com
New legal tech tools showcased at CLOC 2023 — from legaldive.comRobert Freedman
Innovations include a better way to evaluate law firm proposals, centralize all in-house legal requests in a single intake function and analyze agreements.
Guest post: CLOC 2023 – Key insights into how to drive value during changing economic times — from legaltechnology.com by Valerie Chan
Excerpt:
Typically, Legalweek has always been focused on eDiscovery, while CLOC was focused on matter management and contracts management. This time I noticed more balance in the vendor hall and sessions, with a broader range of services providers than before, including staffing providers, contracts management vendors and other new entrants in addition to eDiscovery vendors.
One theme dominated the show floor conversations: Over and over, the legal operators I talked with said if their technologies and vendors were able to develop better workflows, achieve more cost savings and report on the metrics that mattered to their GC, the GC could function as more of a business advisor to the C-suite.
AI is already being used in the legal system—we need to pay more attention to how we use it — by phys.org Morgiane Noel
Excerpt:
While ChatGPT and the use of algorithms in social media get lots of attention, an important area where AI promises to have an impact is law.
The idea of AI deciding guilt in legal proceedings may seem far-fetched, but it’s one we now need to give serious consideration to.
That’s because it raises questions about the compatibility of AI with conducting fair trials. The EU has enacted legislation designed to govern how AI can and can’t be used in criminal law.
Legal Innovation as a Service, Now Enhanced with AI — from denniskennedy.com by Dennis Kennedy
Excerpt:
Over the last semester, I’ve been teaching two classes at Michigan State University College of Law, one called AI and the Law and the other called New Technologies and the Law, and a class at University of Michigan Law School called Legal Technology Literacy and Leadership. All three classes pushed me to keep up-to-date with the nearly-daily developments in AI, ChatGPT, and LLMs. I also did quite a lot of experiments, primarily with ChatGPT, especially GPT-4, and with Notion AI.
Emerging Tech Trends: The rise of GPT tools in contract analysis — from abajournal.com by Nicole Black
Excerpt:
Below, you’ll learn about many of the solutions currently available. Keep in mind that this overview is not exhaustive. There are other similar tools currently available and the number of products in this category will undoubtedly increase in the months to come.
Politicians need to learn how AI works—fast — link.wired.com
Excerpt:
This week we’ll hear from someone who has deep experience in assessing and regulating potentially harmful uses of automation and artificial intelligence—valuable skills at a moment when many people, including lawmakers, are freaking out about the chaos that the technology could cause.
This company adopted AI. Here’s what happened to its human workers — from npr.org by Greg Rosalsky|
Excerpt:
What the economists found offers potentially great news for the economy, at least in one dimension that is crucial to improving our living standards: AI caused a group of workers to become much more productive. Backed by AI, these workers were able to accomplish much more in less time, with greater customer satisfaction to boot. At the same time, however, the study also shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward.
The article links to:
Generative AI at Work — from nber.org by Erik Brynjolfsson, Danielle Li & Lindsey R. Raymond
We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled workers, and minimal impact on experienced and highly skilled workers. We provide suggestive evidence that the AI model disseminates the potentially tacit knowledge of more able workers and helps newer workers move down the experience curve. In addition, we show that AI assistance improves customer sentiment, reduces requests for managerial intervention, and improves employee retention.
In a talk from the cutting edge of technology, OpenAI cofounder Greg Brockman explores the underlying design principles of ChatGPT and demos some mind-blowing, unreleased plug-ins for the chatbot that sent shockwaves across the world. After the talk, head of TED Chris Anderson joins Brockman to dig into the timeline of ChatGPT’s development and get Brockman’s take on the risks, raised by many in the tech industry and beyond, of releasing such a powerful tool into the world.
Also relevant/see:
You are not a parrot — from nymag.com by Elizabeth Weil and Emily M. Bender
Excerpts:
A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
…
Bender knows she’s no match for a trillion-dollar game changer slouching to life. But she’s out there trying. Others are trying too. LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.
How ChatGPT is going to change the future of work and our approach to education — from livemint.com
From DSC:
I thought that the article made a good point when it asserted:
The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.
The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie
Excerpt:
Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:
By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?
The results of this nonscientific canvassing:
What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?
The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.
Excerpts:
Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.
By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.
Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen
Excerpt:
Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.
Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.
How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.
How do I know that? Because:
From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?
AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.
Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator
From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information.
Excerpts:
The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).
The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.
As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.
For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.
Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:
Everyone’s using ChatGPT.
But almost everyone’s STUCK in beginner mode.
10 techniques to get massively ahead with AI:
(cut-and-paste these prompts?)
— Rob Lennon ? | Audience Growth (@thatroblennon) January 3, 2023
Also relevant/see:
3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo
Excerpts:
AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.
…
Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:
1. IDs will be doing more curation and less creation:
2. IDs will spend less, and in some cases no time at all, creating learning pathways
AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.
The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons
Excerpts:
Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.
…
A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?
This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.
Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule
Excerpts:
Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.
…
Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.
Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.
Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz
Excerpt:
Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.
Everything that happened in AI this January.
Ready for February? pic.twitter.com/dWwuIYmXB7
— Lior? (@AlphaSignalAI) February 2, 2023
Also from Lior see:
This is a sneak peak into the future of medicine..
GlassAI launched an LLM-based tool capable of generating a diagnosis or clinical plan based on symptoms.
Also, ChatGPT recently passed the US Medical Licensing Exam.
Demo: https://t.co/Ij95Nx9Mo3 @GlassHealthHQ pic.twitter.com/SVi2TJhTIb
— Lior? (@AlphaSignalAI) February 1, 2023
“After testing GPT3 within Ironclad for several months, it’s clear that this is much more than novelty; it’s a groundbreaking innovation.”
“Today I’m thrilled to announce Ironclad’s latest AI advancement, AI Assist.™” https://t.co/a8hbyahENn
— Adam.GPT (@TheRealAdamG) February 1, 2023
Contracts Company Ironclad Taps Into GPT-3 For Instant Document Redlining Based On A Company’s Playbook — from lawnext.com by Robert Ambrogi
Excerpt:
The contract lifecycle management company Ironclad has tapped into the power of OpenAI’s GPT-3 to introduce AI Assist, a beta feature that instantly redlines contracts based on a company’s playbook of approved clauses and language.
The redlines, made using GPT-3’s generative artificial intelligence, appear as tracked changes in Microsoft Word, where a user can then scan the recommended changes and either accept or reject them.
Addendum:
The practical guide to using AI to do stuff — from oneusefulthing.substack.com by Ethan Mollick; with thanks to Sam DeBrule for this resource. Ethan Mollick is a professor at the Wharton School of the University of Pennsylvania where he studies entrepreneurship & innovation, as well as how we can better learn and teach.
A resource for students in my classes (and other interested people).
Excerpts:
My classes now require AI (and if I didn’t require AI use, it wouldn’t matter, everyone is using AI anyway). But how can students use AI well? Here is a basic tutorial and guide I am providing my classes. It covers some of the many ways to use AI to be more productive, creative, and successful, using the technology available in early 2023, as well as some of the risks.
…
Come up with ideas
Open Source Option: Nothing very good
Best free (for now) option: ChatGPT (registration may require a phone number)
Best option if ChatGPT is down: OpenAI Playground
.
Also relevant/see:
It was nice talking to @lapiaenrose for the @WIRED article on #ChatGPT and #education. I shared how I use LLMs in class and suggested that banning them would not remove the need for redesigning both the learning goals and assessment methods. #AIEthics https://t.co/30tqFN1FSS
— Olya Kudina (@OlyaKudina) January 27, 2023
On a relevant note:
Gen Z says school is not equipping them with the skills they need to survive in a digital world — from fastcompany.com by Shalene Gupta; with thanks to Robert Gibson for this resource
According to a study from Dell Technologies, Gen Z-ers in 15 different countries feel their government could do better.
Excerpt:
They see an education and skills gap: Forty-four percent said that school only taught them very basic computing skills, while 37% said that school education (for children under age 16) didn’t prepare them with the technology skills they needed for their planned careers. Forty percent consider learning new digital skills essential to future career options.
It’s clear that Gen Z see technology as pivotal for their future prosperity. It is now up to us—leading technology providers, governments, and the public sector—to work together and set them up for success by improving the quality and access to digital learning. Forty-four percent of Gen Z feel educators and businesses should work together to bridge the digital skills gap, and with the speed at which technology continues to evolve, this will require constant collaboration.
Aongus Hegarty, president of international markets at Dell Technologies
AI raises floor, not ceiling.
Basic writers ?? Good writers
Basic designers ?? Good designers
Basic instructors ?? Good instructorsExperts see fewer benefits
AI ?? speed + ideation but better to be original + unique as expert. That’s ? AI
Experts know rules, then break them
— Scott David Meyer (@MrScottMeyer) January 27, 2023
