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.

 

This Copyright Lawsuit Could Shape the Future of Generative AI — from wired.com by Will Knight
Algorithms that create art, text, and code are spreading fast—but legal challenges could throw a wrench in the works.

Excerpts:

A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.

Programmers have, of course, always studied, learned from, and copied each other’s code. But not everyone is sure it is fair for AI to do the same, especially if AI can then churn out tons of valuable code itself, without respecting the source material’s license requirements. “As a technologist, I’m a huge fan of AI ,” Butterick says. “I’m looking forward to all the possibilities of these tools. But they have to be fair to everybody.”

Whatever the outcome of the Copilot case, Villa says it could shape the destiny of other areas of generative AI. If the outcome of the Copilot case hinges on how similar AI-generated code is to its training material, there could be implications for systems that reproduce images or music that matches the style of material in their training data. 

Also legal-related, see:


Also related to AI and art/creativity from Wired.com, see:


 

2022 Winners of the LegalTech Breakthrough Awards — from legaltechbreakthrough.com

Categories include:

  • Case Management
  • Client Relations
  • Data & Analytics
  • Documentation
  • Legal Education
  • Practice Management
  • Legal Entity Management
  • Legal Research
  • Online Dispute Resolution
  • Contract Management
  • eDiscovery
  • Marketplaces
  • RegTech
  • Leadership

Also see:

With the cost of international air travel rising sharply, remote hearings are a practical alternative to in-person proceedings. International travel is expensive, and the virtual option means that it is no longer necessary to count travel as a “cost of doing business” when pursuing an international dispute. The widespread use of technology in global dispute resolution proceedings gives attorneys and their clients the option to participate remotely, which is a compelling cost saver for all parties. 

  • Most debt lawsuits get decided without a fight. Michigan leaders want to change the rules. — from mlive.com by Matthew Miller
    Excerpt:
    Most of the 1.9 million debt collection cases filed in Michigan’s district courts over the past decade or so never went to trial. Usually, the defendants don’t show up to court, and debt collectors win by default, according to data compiled by the Michigan Justice for All Commission. In most cases, the courts end up garnishing defendants’ wages, income tax returns or other assets, sometimes on the basis of complaints that include little more than the name of the creditor, an account number and the balance due.

And both debt lawsuits and garnishment are more common for people living in primarily Black neighborhoods, regardless of their income.

Members of the Commission say Michigan’s rules around debt collection lawsuits don’t do enough to protect regular people, who sometimes don’t find out they’ve been sued until they see money coming out of their paychecks.

They say those rules need to change.

An early participant in the Law Society of BC’s Innovation Sandbox, the Clinic offers the in-person and virtual help of 25 articling students located in 15 different BC communities —from Tofino to Cranbrook— with the support of 15 supervising lawyers, four staff and dozens of local mentors. Together, they provide fixed-fee services in a wide range of areas covering everyday legal problems.

 

Stephen Downes’ reflection on “Every Student Needs a Learning Coach” — from by Nate McClennen

Excerpt (from Stephen):

The key to making this happen, I think, is to reorganize local schooling to take advantage of online (and increasingly, AI-generated) learning services, allowing in-person educators to adopt this coaching function.

Key points from Nate’s article:

  • As learning becomes more personalized, learning opportunities expanded and unbounded, and learning science research more robust, an updated and revised advisory role is more important than ever.
  • Redefining the coaching/mentor/advisor role as the educational landscape shifts is critical to ensure success for every learner.

Also relevant to using AI in education/see:

 

 

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer — from nvidianews.nvidia.com
Tens of Thousands of NVIDIA GPUs, NVIDIA Quantum-2 InfiniBand and Full Stack of NVIDIA AI Software Coming to Azure; NVIDIA, Microsoft and Global Enterprises to Use Platform for Rapid, Cost-Effective AI Development and Deployment

Excerpt:

NVIDIA announced [on 11/16/22] a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models.

Addendum on 11/20/22:

 

These are the most important AI trends, according to top AI experts — from nexxworks.com
Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.

Excerpt:

All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.

But let’s see what they have to say, shall we?

Also relevant/see:

AI IS REVOLUTIONIZING EVERY FIELD AND SCIENCE IS NO EXCEPTION — from dataconomy.com by KEREM GÜLEN

Table of Contents

  • Artificial intelligence in science
    • Artificial intelligence in science: Biology
    • Artificial intelligence in science: Physics
    • Artificial intelligence in science: Chemistry
  • AI in science and research
    • How is AI used in scientific research?
      • Protein structures can be predicted using genetic data
      • Recognizing how climate change affects cities and regions
      • Analyzing astronomical data
  • AI in science examples
    • Interpreting social history with archival data
    • Using satellite images to aid in conservation
    • Understanding complex organic chemistry
  • Conclusion

Also relevant/see:

  • How ‘Responsible AI’ Is Ethically Shaping Our Future — from learningsolutionsmag.com by Markus Bernhardt
    Excerpt:
    The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
  • Why you need an AI ethics committee — from enterprisersproject.com by Reid Blackman (requires providing email address to get the article)
 

Top Language Translation AI To Watch in 2022 — from aitimejournal.com by Cameron Schoppa

Excerpt:

In this article, we will discuss some of the most prominent and up-and-coming companies that provide these automated solutions that break down the language barrier.


Addendum on 11/17/22:

  • The State of Multilingual AI — from ruder.io
    This post takes a closer look at the state of multilingual AI. How multilingual are current models in NLP, computer vision, and speech? What are the main recent contributions in this area? What challenges remain and how we can we address them?

 

Recent Advancements In Artificial Intelligence — from forbes.com by Gaurav Tewari

Excerpts:

As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.

Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.

Also relevant/see:

What is the Future of Artificial Intelligence? — from thedigitalspeaker.com by Dr. Mark van Rijmenam

Excerpts:

Let’s explore some real-life artificial intelligence applications.

  1. Using Artificial Intelligence for Navigation
  2. Marketers Use Artificial Intelligence to Increase Their Efficiency
  3. The use of Artificial Intelligence in robotics
  4. Gaming and Artificial Intelligence
  5. Incorporating Artificial Intelligence into Lifestyles

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

While these seven AI roles are critical, finding talent to fill them is difficult.  AI, machine learning, and data analytics are new fields, and few people have relevant experience.

This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.

3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.

Excerpts:

  1. Supporting 1,000 languages with AI
  2. Empowering creators and artists with AI
  3. Addressing climate change and health challenges with AI
 
  1. Radar Trends to Watch: November 2022 — from oreilly.com by Mike Loukides
    Developments in AI, Programming, Quantum Computing, and More

Excerpts:

Maintaining a separate category for AI is getting difficult. We’re seeing important articles about AI infiltrating security, programming, and almost everything else; even biology. That sounds like a minor point, but it’s important: AI is eating the world. What does it mean when an AI system can reconstruct what somebody wants to say from their brainwave? What does it mean when cultured brain cells can be configured to play Pong? They don’t play well, but it’s not long since that was a major achievement for AI.

The creators of StableDiffusion have announced HarmonyAI, a community for building AI tools for generating music. They have released an application called Dance Diffusion.

Google’s new AI can hear a snippet of song—and then keep on playing — from technologyreview.com by Tammy Xuarchive
The technique, called AudioLM, generates naturalistic sounds without the need for human annotation.

 

How AI will change Education: Part I | Transcend Newsletter #59 — from transcend.substack.com by Alberto Arenaza; with thanks to GSV’s Big 10 for this resource

Excerpt:

You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…

Only, those were not my words.

An AI has written every single word in this essay up until here.

The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.

 

“Unleash all this creativity”: Google AI’s breathtaking potential — from axios.com by Jennifer Kingson

Excerpt:

Google’s research arm on Wednesday showed off a whiz-bang assortment of artificial intelligence (AI) projects it’s incubating, aimed at everything from mitigating climate change to helping novelists craft prose.

Why it matters: AI has breathtaking potential to improve and enrich our lives — and comes with hugely worrisome risks of misuse, intrusion and malfeasance, if not developed and deployed responsibly.

Driving the news: The dozen-or-so AI projects that Google Research unfurled at a Manhattan media event are in various stages of development, with goals ranging from societal improvement (such as better health diagnoses) to pure creativity and fun (text-to-image generation that can help you build a 3D image of a skirt-clad monster made of marzipan).

The “1,000 Languages Initiative”: Google is building an AI model that will work with the world’s 1,000 most-spoken languages.

  • AI “can have immense social benefits” and “unleash all this creativity,” said Marian Croak, head of Google Research’s center of expertise on responsible AI.
  • “But because it has such a broad impact on people, the risk involved can also be very huge. And if we don’t get that right … it can be very destructive.”

    And as Axios’ Scott Rosenberg has written, society is only just beginning to grapple with the legal and ethical questions raised by AI’s new capacity to generate text and images.
 

Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource
Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.

Excerpts:

This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”

This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.

Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.

The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.

Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.

Some other recent items from Sam DeBrule include:

Natural Language Assessment: A New Framework to Promote Education — from ai.googleblog.com by Kedem Snir and Gal Elidan

Excerpt:

In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.

How AI could help translate extreme weather alerts — from axios.com by Ayurella Horn-Muller

Excerpt:

A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.

Using GPT-3 to augment human intelligence — from escapingflatland.substack.com by Henrik Karlsson

Excerpt:

When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.

Soon everyone can have an alien intelligence in their inbox.

 

One of the Biggest Problems in Biology Has Finally Been Solved — from  scientificamerican.com by Tanya Lewis
Google DeepMind CEO Demis Hassabis explains how its AlphaFold AI program predicted the 3-D structure of every known protein

Excerpt:

We had to reengineer things for AlphaFold 2 and put a whole bunch of new ideas in there and also bring onto the team some more specialists—biologists and chemists and biophysicists who worked in protein folding—and combine them with our engineering and machine-learning team.

Were you surprised that AlphaFold was so successful?
Yeah, it was surprising, actually. I think it’s definitely been the hardest thing we’ve done, and I would also say the most complex system we’ve ever built.

 

Future Today Institute's 2022 Tech and Science Trends Report is now available

The Future Today Institute’s 15th Anniversary Tech Trends Report

Excerpt:

Future Today Institute’s 2022 Tech and Science Trends Report is now available. Downloaded more than 1 million times each year, FTI’s annual Tech Trends Report is a must-read for every industry. Learn the key trends impacting finance, insurance, transportation, healthcare, sports, logistics, telecom, work, government and policy, security, privacy, education, agriculture, entertainment, music, CPG, hospitality and dining, ESGs, climate, space and more. Discover critical insights. See what strategic action you can take on the futures, today.

 

HundrED Global Collection 2023 — from hundred.org
Meet the 100 most impactful innovations that are changing the face of education in a post-COVID world.

The HundrED Global Collection 2023

Excerpt:

The year 2022 has been a year to look to the future, as the global education conversation moves again toward themes of education transformation and the futures of education. The 100 innovations selected for this year’s global collection are impacting the lives of over 95 million students worldwide. The collection highlights the important role of teachers in education innovation; the continued need for students to develop 21st century skills, including social and emotional learning; an increasing focus on student wellbeing and mental health; and equity in education.

For more information, download the full Global Collection 2023 report.
You can also browse the innovation pages of the selected innovators here.
.

From DSC:
Here’s an excerpt of the email I received today from EducationHQ out of Australia — though I think it applies here in the United States as well:

.

Amplify and value teachers’ voice in education policymaking: researchers — from educationhq.com
Amplify and value teachers’ voice in education policymaking: researchers

Excerpt:

Monash University’s Teachers’ Perceptions of their Work Survey has revealed teachers’ waning satisfaction in their role and highlighted their…

Also from educationhq.com

Teachers changed my life: Trauma-informed education shows kids they matter — from educationhq.com by Beck Thompson
.

Nonprofit Bringing Businesses to Life in the Classroom — to the Tune of $400,000 — from the74million.org by Tim Newcomb
Making candles out of crayons, building birdhouses, fashioning furniture: Real World Scholars has helped 50,000 students become entrepreneurs

Not much entices a second grader to skip out on recess to get back to schoolwork. But excitement around a classroom-run business can do just that, especially when it means creating candles out of crayons and selling them in the local community.

Students design their ideal urban home in My ArchiSchool exhibition — from dezeen.com

Students were able to bring family members to the exhibition. Architectural model by Ethan Chan

Excerpt:

Promotion: fifty-two students presented digital designs and architectural models of their ideal home as part of Hong Kong-based education institute My ArchiSchool’s latest exhibition. As part of the exhibition, My ArchiSchool students were asked to design their ideal home within an urban environment. The exhibition, which took place on 2 October 2022 at the Sky100 on the 100th floor of the International Commerce Centre in Hong Kong, showcased photomontages of digital designs presented alongside physical models.

5 Resources that help students become digital citizens — from rdene915.com by Rachelle Dene Poth

Excerpt:

We need to create opportunities for students to become more digitally aware and literate, and to be responsible when using technology. There are many ways to do this, depending on our content area and grade level. We can model best practices for our students, bring in a specific digital citizenship curriculum to guide them through their learning, or use digital tools and resources available to have students explore and create.

Helping students learn to safely navigate what has become a highly digital world is something that we are all responsible for. Students need to be aware of the impact of their posts online, how to create and manage social accounts and protect their information, and how to properly access and use resources they obtain through technology.

3 Reasons School and District Leaders Should Get on Social Media — from edweek.org by Marina Whiteleather

Excerpt:

School and district leaders can—and should—be using social media in their work.

That’s the message shared by Stephanie McConnell, a superintendent in the Hawkins Independent School District in Texas, and Salome Thomas-El, a K-8 principal in Delaware, during an Education Week K-12 Essentials forum on Oct. 13.

At the event, McConnell and Thomas-El provided insights and advice for school leaders who are hesitant to post on certain social platforms or unsure how to use them.

 
© 2024 | Daniel Christian